2_phenotype_scan.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from basic_tools import *\n",
    "\n",
    "debug=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hg19==grch37\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load phenotype information of individuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7612, 1316), (99234, 578), (19004, 431))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phenotype_raw_AS=pd.read_csv(phenotype_raw_AS_path,sep='\\t',index_col='ID')\n",
    "phenotype_raw_AS['cohort']=1\n",
    "phenotype_raw_CT=pd.read_csv(phenotype_raw_CT_path,sep='\\t',index_col='ID')\n",
    "phenotype_raw_CT['cohort']=2\n",
    "phenotype_raw_NC=pd.read_csv(phenotype_raw_NC_path,sep='\\t',index_col='ID')\n",
    "phenotype_raw_NC.columns=phenotype_raw_NC.columns.str.replace('NCB','NC1')\n",
    "phenotype_raw_NC['cohort']=3\n",
    "\n",
    "phenotype_raw_AS.shape,phenotype_raw_CT.shape,phenotype_raw_NC.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(125850, 2323)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phenotype_raw=pd.concat([phenotype_raw_AS,phenotype_raw_CT,phenotype_raw_NC])\n",
    "phenotype_raw=phenotype_raw.sort_values('ID')\n",
    "phenotype_raw.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NC1_DATA_CLASS</th>\n",
       "      <th>NC1_SITE</th>\n",
       "      <th>NC1_EDATE</th>\n",
       "      <th>NC1_SEX</th>\n",
       "      <th>NC1_AGE</th>\n",
       "      <th>NC1_WT20</th>\n",
       "      <th>NC1_INCOME</th>\n",
       "      <th>NC1_EDU</th>\n",
       "      <th>NC1_MARIT</th>\n",
       "      <th>NC1_MARRY</th>\n",
       "      <th>...</th>\n",
       "      <th>NC1_TG</th>\n",
       "      <th>NC1_HDL</th>\n",
       "      <th>NC1_BUN</th>\n",
       "      <th>NC1_CREATINE</th>\n",
       "      <th>NC1_CRP</th>\n",
       "      <th>NC1_URICACID_B</th>\n",
       "      <th>NC1_EKG_COMMENT</th>\n",
       "      <th>NC1_EKG_1</th>\n",
       "      <th>NC1_EKG_2</th>\n",
       "      <th>cohort</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BHAN000001</th>\n",
       "      <td>Q04</td>\n",
       "      <td>3</td>\n",
       "      <td>200707</td>\n",
       "      <td>2</td>\n",
       "      <td>67</td>\n",
       "      <td>99999.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>1</td>\n",
       "      <td>66666</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>412</td>\n",
       "      <td>32</td>\n",
       "      <td>9.6</td>\n",
       "      <td>0.82</td>\n",
       "      <td>1.58</td>\n",
       "      <td>4.5</td>\n",
       "      <td>66666</td>\n",
       "      <td>66666</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN000002</th>\n",
       "      <td>Q03</td>\n",
       "      <td>3</td>\n",
       "      <td>200608</td>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>62.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>3</td>\n",
       "      <td>66666</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>162</td>\n",
       "      <td>33</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.60</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>66666</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN000003</th>\n",
       "      <td>Q12</td>\n",
       "      <td>1</td>\n",
       "      <td>201008</td>\n",
       "      <td>2</td>\n",
       "      <td>51</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>245</td>\n",
       "      <td>41</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.92</td>\n",
       "      <td>4.3</td>\n",
       "      <td>66666</td>\n",
       "      <td>66666</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN000004</th>\n",
       "      <td>Q02</td>\n",
       "      <td>3</td>\n",
       "      <td>200602</td>\n",
       "      <td>2</td>\n",
       "      <td>70</td>\n",
       "      <td>99999.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>1</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>176</td>\n",
       "      <td>36</td>\n",
       "      <td>15.1</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.33</td>\n",
       "      <td>5.1</td>\n",
       "      <td>66666</td>\n",
       "      <td>66666</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN000005</th>\n",
       "      <td>Q02</td>\n",
       "      <td>2</td>\n",
       "      <td>200602</td>\n",
       "      <td>2</td>\n",
       "      <td>68</td>\n",
       "      <td>99999.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>0</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>75</td>\n",
       "      <td>44</td>\n",
       "      <td>12.3</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.44</td>\n",
       "      <td>2.7</td>\n",
       "      <td>66666</td>\n",
       "      <td>66666</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN042890</th>\n",
       "      <td>Q08</td>\n",
       "      <td>6</td>\n",
       "      <td>200607</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>60.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>120</td>\n",
       "      <td>34</td>\n",
       "      <td>19.3</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.54</td>\n",
       "      <td>66666.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>1</td>\n",
       "      <td>66666</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN042891</th>\n",
       "      <td>Q08</td>\n",
       "      <td>6</td>\n",
       "      <td>200607</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>68</td>\n",
       "      <td>47</td>\n",
       "      <td>10.6</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.67</td>\n",
       "      <td>66666.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>1</td>\n",
       "      <td>66666</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN042892</th>\n",
       "      <td>Q08</td>\n",
       "      <td>5</td>\n",
       "      <td>200612</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>59.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>195</td>\n",
       "      <td>31</td>\n",
       "      <td>12.2</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.17</td>\n",
       "      <td>66666.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>66666</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN042893</th>\n",
       "      <td>Q08</td>\n",
       "      <td>5</td>\n",
       "      <td>200609</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>87</td>\n",
       "      <td>68</td>\n",
       "      <td>23.8</td>\n",
       "      <td>1.27</td>\n",
       "      <td>0.25</td>\n",
       "      <td>66666.0</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>66666</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHAN042894</th>\n",
       "      <td>Q17</td>\n",
       "      <td>9</td>\n",
       "      <td>201007</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>66666</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>105</td>\n",
       "      <td>43</td>\n",
       "      <td>15.3</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.33</td>\n",
       "      <td>3.3</td>\n",
       "      <td>3</td>\n",
       "      <td>66666</td>\n",
       "      <td>66666</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19004 rows × 431 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           NC1_DATA_CLASS  NC1_SITE  NC1_EDATE  NC1_SEX  NC1_AGE  NC1_WT20  \\\n",
       "ID                                                                           \n",
       "BHAN000001            Q04         3     200707        2       67   99999.0   \n",
       "BHAN000002            Q03         3     200608        1       60      62.0   \n",
       "BHAN000003            Q12         1     201008        2       51      45.0   \n",
       "BHAN000004            Q02         3     200602        2       70   99999.0   \n",
       "BHAN000005            Q02         2     200602        2       68   99999.0   \n",
       "...                   ...       ...        ...      ...      ...       ...   \n",
       "BHAN042890            Q08         6     200607        1       59      60.0   \n",
       "BHAN042891            Q08         6     200607        2       40      56.0   \n",
       "BHAN042892            Q08         5     200612        2       40      59.0   \n",
       "BHAN042893            Q08         5     200609        1       57      62.0   \n",
       "BHAN042894            Q17         9     201007        2       57      45.0   \n",
       "\n",
       "            NC1_INCOME  NC1_EDU  NC1_MARIT  NC1_MARRY  ...  NC1_TG  NC1_HDL  \\\n",
       "ID                                                     ...                    \n",
       "BHAN000001       66666        1      66666          5  ...     412       32   \n",
       "BHAN000002       66666        3      66666          6  ...     162       33   \n",
       "BHAN000003           6        4      66666          2  ...     245       41   \n",
       "BHAN000004       66666        1      66666          2  ...     176       36   \n",
       "BHAN000005       66666        0      66666          2  ...      75       44   \n",
       "...                ...      ...        ...        ...  ...     ...      ...   \n",
       "BHAN042890           2        2      66666          2  ...     120       34   \n",
       "BHAN042891           7        7      66666          2  ...      68       47   \n",
       "BHAN042892           2        4      66666          2  ...     195       31   \n",
       "BHAN042893           1        6      66666          2  ...      87       68   \n",
       "BHAN042894           3        4      66666          2  ...     105       43   \n",
       "\n",
       "            NC1_BUN  NC1_CREATINE  NC1_CRP  NC1_URICACID_B  NC1_EKG_COMMENT  \\\n",
       "ID                                                                            \n",
       "BHAN000001      9.6          0.82     1.58             4.5            66666   \n",
       "BHAN000002     14.0          1.00     0.60             6.0            66666   \n",
       "BHAN000003     14.2          0.87     0.92             4.3            66666   \n",
       "BHAN000004     15.1          0.86     1.33             5.1            66666   \n",
       "BHAN000005     12.3          0.84     0.44             2.7            66666   \n",
       "...             ...           ...      ...             ...              ...   \n",
       "BHAN042890     19.3          0.98     0.54         66666.0            66666   \n",
       "BHAN042891     10.6          0.93     1.67         66666.0            66666   \n",
       "BHAN042892     12.2          1.13     1.17         66666.0            66666   \n",
       "BHAN042893     23.8          1.27     0.25         66666.0            66666   \n",
       "BHAN042894     15.3          0.84     0.33             3.3                3   \n",
       "\n",
       "            NC1_EKG_1  NC1_EKG_2  cohort  \n",
       "ID                                        \n",
       "BHAN000001      66666          0       3  \n",
       "BHAN000002      66666          1       3  \n",
       "BHAN000003      66666          0       3  \n",
       "BHAN000004      66666          0       3  \n",
       "BHAN000005      66666          0       3  \n",
       "...               ...        ...     ...  \n",
       "BHAN042890          1      66666       3  \n",
       "BHAN042891          1      66666       3  \n",
       "BHAN042892          2      66666       3  \n",
       "BHAN042893          2      66666       3  \n",
       "BHAN042894      66666      66666       3  \n",
       "\n",
       "[19004 rows x 431 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phenotype_raw_NC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#phenotype_raw=phenotype_raw.loc[['BHAN{:06d}'.format(i) for i in range(1,125872+1)]]\n",
    "\n",
    "#assert sum(phenotype_raw.index.duplicated())==0\n",
    "#len(phenotype_raw.index)\n",
    "#phenotype_raw['CT1_GLU16_U']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load codebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ch6845/tools/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:16: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "  app.launch_new_instance()\n"
     ]
    }
   ],
   "source": [
    "codebook_AS=pd.read_csv(codebook_AS_path)#,header=1)\n",
    "codebook_CT=pd.read_csv(codebook_CT_path)#,header=1)\n",
    "codebook_NC=pd.read_csv(codebook_NC_path)\n",
    "\n",
    "codebook_column_dict={\"테이블명(영문)\":\"table_code\",\"변수명\": \"phenotype_code\",\"변수설명\":\"description\", \"변수값(코드) 설명\": \"value_description\",\"변수유형\":\"type\",\"설문지\":\"questionnaire\"}\n",
    "codebook_AS=codebook_AS.rename(columns=codebook_column_dict)\n",
    "codebook_CT=codebook_CT.rename(columns=codebook_column_dict)\n",
    "codebook_NC=codebook_NC.rename(columns=codebook_column_dict)\n",
    "\n",
    "codebook_AS['type']=codebook_AS['type'].replace('범주형','categorical').replace('연속형','continuous').replace('서술형','descriptive').replace('날짜','date')\n",
    "codebook_CT['type']=codebook_CT['type'].replace('범주형','categorical').replace('연속형','continuous').replace('서술형','descriptive').replace('날짜','date')\n",
    "codebook_NC['type']=codebook_NC['type'].replace('범주형','categorical').replace('연속형','continuous').replace('서술형','descriptive').replace('날짜','date')\n",
    "\n",
    "codebook_AS['phenotype_code']=codebook_AS['phenotype_code'].str.upper()\n",
    "\n",
    "codebook_total=pd.concat([codebook_AS,codebook_CT,codebook_NC])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run conversion manual"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## syntax analyzer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_command(series_in,match_value,expression):\n",
    "    series_out=series_in.copy()\n",
    "    series_out[series_out.index]=np.nan\n",
    "    if 'x' in match_value:\n",
    "        #expression='(x>10)&(x!=77777)&(x!=99999)'\n",
    "        #Only float variable is supported\n",
    "        def match_value_function(x):\n",
    "            try:\n",
    "                return False if pd.isnull(x) else eval(match_value.replace('x',str(x))) \n",
    "            except:\n",
    "                print(x,end='Error')\n",
    "                return False\n",
    "        match_bool=series_in.map(match_value_function)\n",
    "        expression_function=lambda x:eval(expression.replace('x',str(x)))\n",
    "        series_out[match_bool]=series_in[match_bool].map(expression_function)\n",
    "    else:\n",
    "        #print(np.sum(series_in==float(match_value)))\n",
    "        try:\n",
    "            match_value=float(match_value)\n",
    "        except:\n",
    "            pass\n",
    "        try:\n",
    "            expression=float(expression)\n",
    "        except:\n",
    "            pass\n",
    "        #print(series_in.unique(),(series_in=='폐암').sum(),'폐암',match_value,match_value.strip(\"'\")=='폐암',type('폐암'),type(match_value),match_value,expression)\n",
    "        if type(match_value)==str and '+' in match_value:\n",
    "            print(\"!! contain mode !!\")\n",
    "            series_out[series_in.map(lambda x: False if pd.isnull(x) or type(x)!=str else (match_value.replace('+','') in x))]=expression\n",
    "        else:\n",
    "            series_out[series_in==match_value]=expression\n",
    "    return series_out\n",
    "\n",
    "#conversion_manual.to_csv(conversion_manual_path,sep='\\t',index=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run specific conversion (for debugging)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check if need"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\n(phenotype_raw['AS1_TRTAS']==2).sum(),(phenotype_raw['AS1_PDAS']==2).sum()\\nphenotype_raw.index[(phenotype_raw['CT1_ASTHCU']>=1) & (phenotype_raw['CT1_ASTHCU']<=4)].difference(phenotype_raw.index[phenotype_raw['CT1_ASTH']==2])\\na=phenotype_raw.index[phenotype_raw['AS1_TRTAS']==2].difference(phenotype_raw.index[phenotype_raw['AS1_PDAS']==1])\\nlen(a)\\n\\nphenotype_raw['NC1_CA1'].unique(),phenotype_raw['NC1_CA_NA2'].unique()\\n\\nphenotype_raw['AS1_HIP1'].hist()\\n\\n(phenotype_raw['AS1_HIP1']-phenotype_raw['AS1_HIP2']).hist()\\n\\nphenotype_raw_CT.columns[phenotype_raw_CT.columns.str.contains('BLOOD')]\\n(phenotype_raw['NC1_CRP'][phenotype_raw['NC1_CRP']!=99999]*0.1).median()\\n(phenotype_raw['AS1_PDDEM']).value_counts()\\n#(phenotype_raw['AS1_PREGNO']-phenotype_raw['AS1_CHILD_P']-phenotype_raw['AS1_CHILD_D']).value_counts()\\n\""
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "(phenotype_raw['AS1_TRTAS']==2).sum(),(phenotype_raw['AS1_PDAS']==2).sum()\n",
    "phenotype_raw.index[(phenotype_raw['CT1_ASTHCU']>=1) & (phenotype_raw['CT1_ASTHCU']<=4)].difference(phenotype_raw.index[phenotype_raw['CT1_ASTH']==2])\n",
    "a=phenotype_raw.index[phenotype_raw['AS1_TRTAS']==2].difference(phenotype_raw.index[phenotype_raw['AS1_PDAS']==1])\n",
    "len(a)\n",
    "\n",
    "phenotype_raw['NC1_CA1'].unique(),phenotype_raw['NC1_CA_NA2'].unique()\n",
    "\n",
    "phenotype_raw['AS1_HIP1'].hist()\n",
    "\n",
    "(phenotype_raw['AS1_HIP1']-phenotype_raw['AS1_HIP2']).hist()\n",
    "\n",
    "phenotype_raw_CT.columns[phenotype_raw_CT.columns.str.contains('BLOOD')]\n",
    "(phenotype_raw['NC1_CRP'][phenotype_raw['NC1_CRP']!=99999]*0.1).median()\n",
    "(phenotype_raw['AS1_PDDEM']).value_counts()\n",
    "#(phenotype_raw['AS1_PREGNO']-phenotype_raw['AS1_CHILD_P']-phenotype_raw['AS1_CHILD_D']).value_counts()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_filter='glucose_in_blood'\n",
    "test_match_value=1\n",
    "test_conversion_value=2\n",
    "\n",
    "conversion_manual=pd.read_csv(conversion_manual_path,sep='\\t',index_col='phenotype_code')\n",
    "\n",
    "##Run all 'commands' with name=='new_name'\n",
    "conversion_list_dict={}\n",
    "for idx,row in conversion_manual[~pd.isnull(conversion_manual['commands'])].iterrows():\n",
    "    for command in row['commands'].split('|'):\n",
    "        new_name,match_value,expression=command.split('@')\n",
    "        if name_filter!=None and new_name!=name_filter:\n",
    "            continue\n",
    "        print(idx,command,phenotype_raw[idx].unique())\n",
    "        print(\"# of filtered={} before: \".format(test_match_value),(phenotype_raw[idx]==test_match_value).sum())\n",
    "        conversion=run_command(phenotype_raw[idx],match_value,expression)\n",
    "        conversion_list_dict[new_name]=conversion_list_dict.get(new_name,[])+[conversion]\n",
    "        print(\"# of filtered={} after: \".format(test_conversion_value),(conversion==test_conversion_value).sum(),\", conversion unique\",conversion.unique())\n",
    "        print('-----------------------------------------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------Conversion----------------------\n"
     ]
    },
    {
     "ename": "KeyError",
     "evalue": "'glucose_in_blood'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-c053c2621b66>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     12\u001b[0m     \u001b[0mconversion_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnew_name\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmerge_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;31m#cohort 별 분포\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'# of null:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconversion_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname_filter\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misnull\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     15\u001b[0m \u001b[0mconversion_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname_filter\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: 'glucose_in_blood'"
     ]
    }
   ],
   "source": [
    "print(\"--------------Conversion----------------------\")\n",
    "# merge results of same 'new_name'\n",
    "conversion_dict={}\n",
    "for new_name,conversion_list in conversion_list_dict.items():\n",
    "    merge_result=None\n",
    "    for conversion_result in conversion_list:\n",
    "        if merge_result is None:\n",
    "            merge_result= conversion_result\n",
    "        else:\n",
    "            merge_result.update(conversion_result)\n",
    "    print(new_name,str(merge_result.unique())[:30])\n",
    "    conversion_dict[new_name]=merge_result\n",
    "#cohort 별 분포\n",
    "print('# of null:', conversion_dict[name_filter].isnull().sum())\n",
    "conversion_dict[name_filter].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print('# of {} in AS:'.format(test_conversion_value),\\\n",
    "      (phenotype_raw[conversion_dict[name_filter]==test_conversion_value]['cohort']==1).sum(),'/',\\\n",
    "      (phenotype_raw['cohort']==1).sum(),\\\n",
    "      '{:.2f}'.format((phenotype_raw[conversion_dict[name_filter]==test_conversion_value]['cohort']==1).sum()/(phenotype_raw['cohort']==1).sum()*100),\\\n",
    "     )\n",
    "print('# of {} in CT:'.format(test_conversion_value),\\\n",
    "      (phenotype_raw[conversion_dict[name_filter]==test_conversion_value]['cohort']==2).sum(),'/',\\\n",
    "      (phenotype_raw['cohort']==2).sum(),\\\n",
    "      '{:.2f}'.format((phenotype_raw[conversion_dict[name_filter]==test_conversion_value]['cohort']==2).sum()/(phenotype_raw['cohort']==2).sum()*100),\\\n",
    "     )\n",
    "\n",
    "print('# of {} in NC:'.format(test_conversion_value),\\\n",
    "      (phenotype_raw[conversion_dict[name_filter]==test_conversion_value]['cohort']==3).sum(),'/',\\\n",
    "      (phenotype_raw['cohort']==3).sum(),\\\n",
    "      '{:.2f}'.format((phenotype_raw[conversion_dict[name_filter]==test_conversion_value]['cohort']==3).sum()/(phenotype_raw['cohort']==3).sum()*100),\\\n",
    "     )\n",
    "\n",
    "      #'---','{:.2f}'.format(phenotype_raw['AS1_contain'][conversion_dict[name_filter]==test_conversion_value].sum()/phenotype_raw['AS1_contain'].sum()*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_dict[name_filter].hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run all conversion (for debugging)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_manual=pd.read_csv(conversion_manual_path,sep='\\t',index_col='phenotype_code')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#conversion_list_dict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NC1_AGE age@(x!=66666)&(x!=77777)&(x!=99999)@x [67. 60. 51. 70. 68. 77. 65. 50. 56. 74. 62. 72. 69. 49. 57. 59. 53. 52.\n",
      " 55. 73. 78. 71. 45. 61. 75. 63. 46. 54. 80. 66. 64. 47. 44. 58. 48. 76.\n",
      " 79. 41. 86. 87. 40. 81. 43. 82. 42. 85. 84. 90. 83. 88. nan]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [67. 60. 51. 70. 68. 77. 65. 50. 56. 74. 62. 72. 69. 49. 57. 59. 53. 52.\n",
      " 55. 73. 78. 71. 45. 61. 75. 63. 46. 54. 80. 66. 64. 47. 44. 58. 48. 76.\n",
      " 79. 41. 86. 87. 40. 81. 43. 82. 42. 85. 84. 90. 83. 88. nan]\n",
      "-----------------------------------------\n",
      "CT1_AGE age@(x!=66666)&(x!=77777)&(x!=99999)@x [nan 63. 45. 59. 50. 51. 61. 55. 48. 53. 60. 70. 57. 66. 44. 46. 56. 58.\n",
      " 52. 41. 67. 47. 40. 42. 49. 43. 54. 62. 65. 69. 64. 68. 71. 72. 73. 76.\n",
      " 75. 74. 77. 79. 78.]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 63. 45. 59. 50. 51. 61. 55. 48. 53. 60. 70. 57. 66. 44. 46. 56. 58.\n",
      " 52. 41. 67. 47. 40. 42. 49. 43. 54. 62. 65. 69. 64. 68. 71. 72. 73. 76.\n",
      " 75. 74. 77. 79. 78.]\n",
      "-----------------------------------------\n",
      "AS1_AGE age@(x!=66666)&(x!=77777)&(x!=99999)@x [nan 66. 51. 62. 42. 53. 61. 65. 43. 58. 48. 64. 41. 45. 60. 57. 67. 56.\n",
      " 69. 40. 59. 55. 44. 47. 46. 68. 63. 54. 49. 50. 52.]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 66. 51. 62. 42. 53. 61. 65. 43. 58. 48. 64. 41. 45. 60. 57. 67. 56.\n",
      " 69. 40. 59. 55. 44. 47. 46. 68. 63. 54. 49. 50. 52.]\n",
      "-----------------------------------------\n",
      "NC1_SEX sex@1@1 [ 2.  1. nan]\n",
      "# of filtered=1 before:  7126\n",
      "# of filtered=2 after:  0 , conversion unique [nan  1.]\n",
      "-----------------------------------------\n",
      "NC1_SEX sex@2@2 [ 2.  1. nan]\n",
      "# of filtered=1 before:  7126\n",
      "# of filtered=2 after:  11878 , conversion unique [ 2. nan]\n",
      "-----------------------------------------\n",
      "CT1_SEX sex@1@1 [nan  2.  1.]\n",
      "# of filtered=1 before:  34917\n",
      "# of filtered=2 after:  0 , conversion unique [nan  1.]\n",
      "-----------------------------------------\n",
      "CT1_SEX sex@2@2 [nan  2.  1.]\n",
      "# of filtered=1 before:  34917\n",
      "# of filtered=2 after:  64317 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_SEX sex@1@1 [nan  2.  1.]\n",
      "# of filtered=1 before:  3675\n",
      "# of filtered=2 after:  0 , conversion unique [nan  1.]\n",
      "-----------------------------------------\n",
      "AS1_SEX sex@2@2 [nan  2.  1.]\n",
      "# of filtered=1 before:  3675\n",
      "# of filtered=2 after:  3937 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_ASTH asthma@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8963\n",
      "# of filtered=2 after:  273 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_ASTH asthma@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  97453\n",
      "# of filtered=2 after:  1672 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDAS asthma@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7442\n",
      "# of filtered=2 after:  167 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTAS asthma@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3388\n",
      "# of filtered=2 after:  42 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_BRON chronic_bronchitis@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9081\n",
      "# of filtered=2 after:  155 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_BRON chronic_bronchitis@2@2 [       nan 1.0000e+00 6.6666e+04 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  90147\n",
      "# of filtered=2 after:  750 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_ALLER allergic_disease@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8533\n",
      "# of filtered=2 after:  703 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_ALLER allergic_disease@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  91986\n",
      "# of filtered=2 after:  7129 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDAL allergic_disease@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7191\n",
      "# of filtered=2 after:  418 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTAL allergic_disease@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3423\n",
      "# of filtered=2 after:  3 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_ALG allergic_disease@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  6158\n",
      "# of filtered=2 after:  1309 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 stomach_cancer@+위@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  80 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 stomach_cancer@+위@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA stomach_cancer@+위@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  54 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA stomach_cancer@+위@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA stomach_cancer@+위@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP stomach_cancer@1@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  457 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP stomach_cancer@1@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  3 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP stomach_cancer@1@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA stomach_cancer@+위@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA stomach_cancer@+위@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 liver_cancer@+간@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  6 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 liver_cancer@+간@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA liver_cancer@+간@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  3 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA liver_cancer@+간@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA liver_cancer@+간@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP liver_cancer@2@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  57 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP liver_cancer@2@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  7 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP liver_cancer@2@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA liver_cancer@+간@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA liver_cancer@+간@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 colorectal_cancer@+대장@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  17 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 colorectal_cancer@+대장@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  2 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA colorectal_cancer@+대장@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  9 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA colorectal_cancer@+대장@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA colorectal_cancer@+대장@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP colorectal_cancer@3@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  237 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP colorectal_cancer@3@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  3 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP colorectal_cancer@3@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA colorectal_cancer@+대장@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA colorectal_cancer@+대장@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 breast_cancer@+유방@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  26 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 breast_cancer@+유방@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA breast_cancer@+유방@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  29 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA breast_cancer@+유방@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA breast_cancer@+유방@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP breast_cancer@4@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  543 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP breast_cancer@4@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  9 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP breast_cancer@4@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA breast_cancer@+유방@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  4 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA breast_cancer@+유방@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "AS1_BRCA breast_cancer@2@2 [       nan 1.0000e+00 7.7777e+04 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3682\n",
      "# of filtered=2 after:  24 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 cervical_cancer@+자궁경부@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  11 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 cervical_cancer@+자궁경부@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA cervical_cancer@+자궁경부@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  16 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA cervical_cancer@+자궁경부@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA cervical_cancer@+자궁경부@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP cervical_cancer@5@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  376 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP cervical_cancer@5@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  15 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP cervical_cancer@5@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA cervical_cancer@+자궁경부@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  2 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA cervical_cancer@+자궁경부@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 lung_cancer@+폐@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  10 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 lung_cancer@+폐@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  2 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA lung_cancer@+폐@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  7 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA lung_cancer@+폐@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA lung_cancer@+폐@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP lung_cancer@6@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  63 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP lung_cancer@6@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  8 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP lung_cancer@6@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA lung_cancer@+폐@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA lung_cancer@+폐@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 thyroid_cancer@+갑상선@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  24 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 thyroid_cancer@+갑상선@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA thyroid_cancer@+갑상선@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  10 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA thyroid_cancer@+갑상선@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA thyroid_cancer@+갑상선@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP thyroid_cancer@7@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  631 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP thyroid_cancer@7@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  17 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP thyroid_cancer@7@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA thyroid_cancer@+갑상선@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA thyroid_cancer@+갑상선@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 prostate_cancer@+전립@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  3 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 prostate_cancer@+전립@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA prostate_cancer@+전립@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA prostate_cancer@+전립@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA prostate_cancer@+전립@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP prostate_cancer@8@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  51 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP prostate_cancer@8@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  2 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP prostate_cancer@8@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA prostate_cancer@+전립@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA prostate_cancer@+전립@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA1 bladder_cancer@+방광@2 ['77777' '대장암' '십이지장암' '전립선암' '유방암' '갑상선암' '위암' '자궁경부암' '99999' '자궁암'\n",
      " '혈액종양' '직장암' '난소암' '피부암' '장암' '폐암' '자궁물혹' '간종양' '신장암' '간암' '인공임파선종양'\n",
      " '림프종암' '혈액암' '췌장암' '후두암' '뇌종양' '방광암' '요관암(심장)' '식도암' '만성 골수성백혈병'\n",
      " '대장에 용정제거 후 암세포 발견' '상피내암' '성대암' '청색종병' '담석암' '위장암' '임파선암' nan '66666'\n",
      " '경부암' '자궁종양' '자궁상피내암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  4 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA_NA2 bladder_cancer@+방광@2 ['77777' '66666' '99999' '전립선암' '폐암' '피부암' '대장암' '자궁암' 77777 66666 99999\n",
      " nan]\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA1NA bladder_cancer@+방광@2 [66666 '66666' nan '77777' '폐암' '식도' '경부암' '위암' '신장' '자궁경부암' '칼시노이드'\n",
      " '99999' '유방암' '자궁경부상피내암' '자궁암' '갑상선' '뇌종양' '구강' '십이지장' '육모성(자궁)' '대장암'\n",
      " '난소' '자궁근종' '간암' '후두암' '직장암' '성대' '장' '전립선' '자궁내피' '설암' '눈의 상피내' '종격동'\n",
      " '어깨종양' '방광' '상피내' '자궁상피내' '임파종']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  1 , conversion unique [nan 2.0]\n",
      "-----------------------------------------\n",
      "NC1_CA2NA bladder_cancer@+방광@2 [66666 nan '77777' '66666' '99999' '위' '신장' 77777 99999 '유방' '구강' '얼굴피부'\n",
      " '자궁경부']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CA3NA bladder_cancer@+방광@2 [66666 nan 77777 99999 '77777' '66666' '99999' '유방']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "CT1_CA1SP bladder_cancer@9@2 [       nan 7.7777e+04 4.0000e+00 9.9999e+04 5.0000e+00 1.0000e+00\n",
      " 8.0000e+00 7.0000e+00 1.0000e+01 3.0000e+00 9.0000e+00 2.0000e+00\n",
      " 6.0000e+00]\n",
      "# of filtered=1 before:  457\n",
      "# of filtered=2 after:  38 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA2SP bladder_cancer@9@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01 3.0000e+00\n",
      " 4.0000e+00 5.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 7.0000e+00\n",
      " 2.0000e+00 8.0000e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  4 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CA3SP bladder_cancer@9@2 [       nan 6.6666e+04 7.7777e+04 9.9999e+04 1.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDTOTCA1NA bladder_cancer@+방광@2 [nan '77777' '유방혹(수술)' '자궁물혹' '자궁근종' '99999' '성대종양(수술)' '자궁경부암' '대장혹'\n",
      " '자궁혹' '물혹' '유방암' '난소근종' '자궁혹(제거술)' '난소물혹' '난소낭종' '결핵성임파선종양' '난소종양' '자궁암'\n",
      " '자근근종혹' '유방종양' '자궁종양' '장용종' '성대물혹' '난소혹' '임파선종양(결핵성)' '난소혹(양성)' '항문양성종양']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_TRTTOTCA1NA bladder_cancer@+방광@2 [nan 77777 99999 '77777' '99999' '폐림프종' '자궁근종' '유방암' '담낭암' '갑상선여포암' '위암']\n",
      "# of filtered=1 before:  0\n",
      "!! contain mode !!\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_POL colon_polyps@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9158\n",
      "# of filtered=2 after:  78 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_POL colon_polyps@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  94971\n",
      "# of filtered=2 after:  4129 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_MI_NA1_1 angina_pectoris_myocardial_infarction@2@2 [7.7777e+04 2.0000e+00 1.0000e+00 9.9999e+04        nan 6.6666e+04]\n",
      "# of filtered=1 before:  211\n",
      "# of filtered=2 after:  232 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_MI0 angina_pectoris_myocardial_infarction@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9042\n",
      "# of filtered=2 after:  180 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_MI1 angina_pectoris_myocardial_infarction@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9135\n",
      "# of filtered=2 after:  86 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_MI angina_pectoris_myocardial_infarction@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  96639\n",
      "# of filtered=2 after:  2489 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDMI angina_pectoris_myocardial_infarction@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7548\n",
      "# of filtered=2 after:  61 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDCD angina_pectoris_myocardial_infarction@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7551\n",
      "# of filtered=2 after:  58 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTMI angina_pectoris_myocardial_infarction@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3415\n",
      "# of filtered=2 after:  11 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTCD angina_pectoris_myocardial_infarction@2@2 [       nan 1.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  3426\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_HTN hypertension@2@2 [1.0000e+00 2.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  13916\n",
      "# of filtered=2 after:  5072 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_HTN hypertension@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  79805\n",
      "# of filtered=2 after:  19348 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDHT hypertension@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  6407\n",
      "# of filtered=2 after:  1202 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTHT hypertension@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  2674\n",
      "# of filtered=2 after:  885 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_CVA stroke@2@2 [1.0000e+00 2.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  18456\n",
      "# of filtered=2 after:  532 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_TIA stroke@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9210\n",
      "# of filtered=2 after:  16 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CVA stroke@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  98005\n",
      "# of filtered=2 after:  1137 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_TIA stroke@2@2 [       nan 6.6666e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  20333\n",
      "# of filtered=2 after:  43 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDCV stroke@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7517\n",
      "# of filtered=2 after:  92 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_TIA transient_ischemic_attacks@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9210\n",
      "# of filtered=2 after:  16 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_TIA transient_ischemic_attacks@2@2 [       nan 6.6666e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  20333\n",
      "# of filtered=2 after:  43 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_LIV acute_liver_disease@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9174\n",
      "# of filtered=2 after:  62 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_LIV acute_liver_disease@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  98524\n",
      "# of filtered=2 after:  607 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_DM diabetes@2@2 [2.0000e+00 1.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  17185\n",
      "# of filtered=2 after:  1803 , conversion unique [ 2. nan]\n",
      "-----------------------------------------\n",
      "CT1_DM diabetes@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  92541\n",
      "# of filtered=2 after:  6575 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDDM diabetes@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7077\n",
      "# of filtered=2 after:  532 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTDM diabetes@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3124\n",
      "# of filtered=2 after:  332 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_GLU0 diabetes@(x>126)&(x<500)@2 [1.1100e+02 1.3200e+02 9.0000e+01 1.1600e+02 9.7000e+01 1.3400e+02\n",
      " 1.2400e+02 1.0000e+02 9.3000e+01 1.0500e+02 1.1300e+02 9.9000e+01\n",
      " 1.0700e+02 1.0300e+02 9.1000e+01 8.6000e+01 2.3100e+02 8.1000e+01\n",
      " 8.7000e+01 9.4000e+01 8.9000e+01 9.8000e+01 1.3700e+02 8.2000e+01\n",
      " 1.0100e+02 2.6900e+02 1.3800e+02 8.8000e+01 7.9000e+01 1.0900e+02\n",
      " 9.6000e+01 1.4100e+02 7.4000e+01 1.7800e+02 1.0400e+02 1.1800e+02\n",
      " 1.2500e+02 9.2000e+01 8.4000e+01 1.0200e+02 2.0300e+02 1.0600e+02\n",
      " 7.8000e+01 1.1400e+02 8.3000e+01 9.5000e+01 1.7500e+02 1.1000e+02\n",
      " 8.5000e+01 1.2200e+02 1.2600e+02 2.0900e+02 1.6600e+02 1.3000e+02\n",
      " 1.2300e+02 1.5700e+02 1.2000e+02 1.2700e+02 1.2800e+02 7.5000e+01\n",
      " 1.1700e+02 1.1200e+02 1.3100e+02 1.0800e+02 7.6000e+01 1.3300e+02\n",
      " 1.4300e+02 1.6700e+02 1.5100e+02 1.1500e+02 1.4800e+02 2.2100e+02\n",
      " 1.4600e+02 7.7000e+01 2.0800e+02 1.5300e+02 1.3900e+02 1.6800e+02\n",
      " 1.8700e+02 8.0000e+01 1.8900e+02 1.8100e+02 1.4400e+02 3.1300e+02\n",
      " 1.3500e+02 1.4900e+02 2.0200e+02 1.4200e+02 1.5200e+02 1.5900e+02\n",
      " 1.1900e+02 1.6400e+02 1.5800e+02 1.6300e+02 2.5800e+02 2.0600e+02\n",
      " 1.6200e+02 1.5400e+02 7.3000e+01 1.7600e+02 1.9000e+02 1.8200e+02\n",
      " 1.7900e+02 1.6100e+02 1.5600e+02 1.5000e+02 2.7900e+02 7.2000e+01\n",
      " 1.3600e+02 1.6000e+02 1.7000e+02 1.6900e+02 2.7300e+02 2.3500e+02\n",
      " 1.4700e+02 2.7000e+02 2.6600e+02 1.4000e+02 2.0000e+02 2.3400e+02\n",
      " 1.8800e+02 7.0000e+01 1.2100e+02 1.7400e+02 2.0500e+02 2.1500e+02\n",
      " 1.9400e+02 1.2900e+02 1.8500e+02 2.3200e+02 2.3300e+02 2.3800e+02\n",
      " 2.5300e+02 3.4600e+02 3.4400e+02 3.2100e+02 1.8300e+02 1.7100e+02\n",
      " 1.8400e+02 1.4500e+02 3.2500e+02 3.0600e+02 1.9600e+02 2.6300e+02\n",
      " 1.7300e+02 1.9300e+02 1.9100e+02 2.6800e+02 7.1000e+01 2.9700e+02\n",
      " 2.1900e+02 1.9700e+02 2.1000e+02 2.8900e+02 1.7200e+02 2.1800e+02\n",
      " 1.6500e+02 1.8000e+02 1.5500e+02 3.1700e+02 2.5000e+02 2.0100e+02\n",
      " 2.1600e+02 2.1100e+02 3.9000e+02 3.3700e+02 2.4100e+02 2.2300e+02\n",
      " 2.7500e+02 2.1300e+02 2.6500e+02 2.4400e+02 1.9500e+02 1.7700e+02\n",
      " 3.8500e+02 2.7600e+02 2.5200e+02 5.0000e+01 2.7700e+02 2.1400e+02\n",
      " 2.4700e+02 2.5100e+02 2.0700e+02 2.9400e+02 2.3700e+02 2.4200e+02\n",
      " 3.0200e+02 1.9200e+02 2.2900e+02 4.0200e+02 1.9900e+02 2.2000e+02\n",
      " 2.0400e+02        nan 3.6700e+02 6.8000e+01 2.2800e+02 3.4900e+02\n",
      " 6.7000e+01 6.9000e+01 3.0800e+02 6.6000e+01 2.8700e+02 2.8400e+02\n",
      " 5.6000e+01 2.2200e+02 2.4500e+02 2.7200e+02 2.7800e+02 6.2000e+01\n",
      " 6.3000e+01 3.6200e+02 2.2700e+02 6.4000e+01 2.3600e+02 2.3000e+02\n",
      " 5.8000e+01 3.3400e+02 2.4000e+02 2.2600e+02 6.1000e+01 1.9800e+02\n",
      " 2.9900e+02 2.5500e+02 2.4800e+02 9.9999e+04 1.8600e+02 2.2400e+02\n",
      " 2.7400e+02 2.1700e+02 2.4300e+02 2.8200e+02 2.6700e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  1291 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GLU0 diabetes@(x>126)&(x<500)@2 [       nan 8.5000e+01 9.9000e+01 7.5000e+01 1.3800e+02 9.8000e+01\n",
      " 9.6000e+01 9.1000e+01 1.0000e+02 8.9000e+01 9.7000e+01 9.4000e+01\n",
      " 9.5000e+01 1.1900e+02 8.8000e+01 1.0800e+02 9.2000e+01 7.2000e+01\n",
      " 1.4100e+02 8.1000e+01 1.1600e+02 7.8000e+01 8.2000e+01 1.0400e+02\n",
      " 1.0900e+02 9.9999e+04 1.0500e+02 8.7000e+01 8.3000e+01 7.9000e+01\n",
      " 7.3000e+01 8.6000e+01 9.0000e+01 8.0000e+01 8.4000e+01 1.0300e+02\n",
      " 9.3000e+01 7.0000e+01 1.1700e+02 1.1100e+02 1.0700e+02 1.0100e+02\n",
      " 1.2400e+02 1.0200e+02 6.9000e+01 1.1800e+02 7.7000e+01 1.2300e+02\n",
      " 7.6000e+01 7.4000e+01 1.1500e+02 1.1000e+02 1.0600e+02 1.4600e+02\n",
      " 1.2000e+02 1.1200e+02 6.2000e+01 1.6100e+02 2.2500e+02 7.1000e+01\n",
      " 1.4500e+02 1.1400e+02 1.2800e+02 1.2200e+02 1.4800e+02 1.8300e+02\n",
      " 1.5300e+02 1.7700e+02 1.1300e+02 1.3000e+02 1.3400e+02 1.6700e+02\n",
      " 1.3200e+02 1.2500e+02 1.7100e+02 2.0700e+02 1.2900e+02 1.6900e+02\n",
      " 1.4700e+02 1.6200e+02 1.3300e+02 2.9500e+02 1.9900e+02 1.3500e+02\n",
      " 1.7000e+02 2.1000e+02 1.8400e+02 1.8900e+02 1.8100e+02 1.3900e+02\n",
      " 1.2100e+02 3.1100e+02 1.7400e+02 1.7900e+02 1.3600e+02 1.4200e+02\n",
      " 1.3700e+02 6.7000e+01 2.0800e+02 2.0000e+02 3.1800e+02 6.4000e+01\n",
      " 1.4400e+02 1.5900e+02 3.0600e+02 1.2600e+02 1.4000e+02 1.9400e+02\n",
      " 6.6000e+01 2.3400e+02 1.8000e+02 1.7300e+02 1.8600e+02 1.2700e+02\n",
      " 6.8000e+01 1.2000e+01 5.2000e+01 1.5800e+02 2.9600e+02 1.6400e+02\n",
      " 1.3100e+02 1.5200e+02 6.3000e+01 1.6000e+02 1.6300e+02 1.4900e+02\n",
      " 1.6600e+02 2.0600e+02 2.5300e+02 1.5700e+02 6.1000e+01 2.2300e+02\n",
      " 2.5600e+02 1.9500e+02 1.5400e+02 1.5000e+02 2.4800e+02 2.2200e+02\n",
      " 1.8700e+02 1.9800e+02 1.9200e+02 2.4000e+02 5.7000e+01 2.0400e+02\n",
      " 2.0900e+02 1.9100e+02 2.7900e+02 1.9600e+02 1.7500e+02 1.4300e+02\n",
      " 1.6500e+02 6.5000e+01 1.7600e+02 2.4500e+02 5.9000e+01 2.3500e+02\n",
      " 4.9000e+01 6.0000e+01 2.0500e+02 3.1300e+02 1.5600e+02 2.5900e+02\n",
      " 1.9000e+02 2.3100e+02 2.7200e+02 1.7800e+02 1.9300e+02 2.3700e+02\n",
      " 1.5500e+02 5.3000e+01 2.0300e+02 2.1300e+02 1.8500e+02 2.2800e+02\n",
      " 2.2000e+02 2.2700e+02 2.3800e+02 1.5100e+02 2.9300e+02 2.1500e+02\n",
      " 3.1600e+02 2.4700e+02 2.5500e+02 2.0200e+02 5.4000e+01 2.2900e+02\n",
      " 2.3200e+02 2.1400e+02 2.2400e+02 1.6800e+02 2.1200e+02 2.4200e+02\n",
      " 2.4600e+02 2.1700e+02 1.8200e+02 3.4400e+02 1.8800e+02 2.6800e+02\n",
      " 1.9700e+02 3.1400e+02 2.6400e+02 2.0100e+02 2.2600e+02 5.6000e+01\n",
      " 2.7500e+02 2.7600e+02 2.7000e+01 2.4100e+02 2.8900e+02 2.6900e+02\n",
      " 2.1900e+02 1.7200e+02 2.3600e+02 4.0300e+02 2.3000e+02 2.8100e+02\n",
      " 2.6700e+02 2.8400e+02 2.2100e+02 2.5400e+02 2.7000e+02 2.7400e+02\n",
      " 2.6200e+02 2.7300e+02 2.5100e+02 3.3200e+02 2.3300e+02 3.9100e+02\n",
      " 2.5700e+02 2.8600e+02 2.6000e+02 2.4400e+02 2.7800e+02 2.1100e+02\n",
      " 3.7300e+02 2.5200e+02 5.5000e+01 5.1000e+01 3.2000e+01 3.5500e+02\n",
      " 3.0800e+02 3.8100e+02 2.0000e+01 2.4000e+01 2.7700e+02 5.8000e+01\n",
      " 2.3900e+02 3.5000e+02 3.3300e+02 3.2600e+02 2.1600e+02 3.5800e+02\n",
      " 2.8800e+02 2.8000e+02 3.4600e+02 3.4800e+02 4.7000e+02 2.6100e+02\n",
      " 3.7100e+02 2.9900e+02 3.3900e+02 2.1800e+02 2.4300e+02 3.2100e+02\n",
      " 2.6500e+02 9.7400e+02 2.6600e+02 2.4900e+02 3.5200e+02 2.9400e+02\n",
      " 2.9000e+02 8.8700e+02 1.6000e+01 3.0000e+02 3.8000e+01 2.2000e+01\n",
      " 1.5000e+01 3.2000e+02 1.4000e+01 1.0000e+01 3.3100e+02 2.9100e+02\n",
      " 3.2300e+02 4.6000e+01 4.3900e+02 5.9600e+02 4.7700e+02 3.5600e+02\n",
      " 4.2100e+02 3.2800e+02 3.7600e+02 3.7400e+02 2.9700e+02 3.2200e+02\n",
      " 2.8500e+02 3.6100e+02 3.0300e+02 4.2500e+02 3.0900e+02 3.8800e+02\n",
      " 2.5800e+02 3.4100e+02 2.8700e+02 2.8300e+02 4.7000e+01 2.5000e+02\n",
      " 2.8200e+02 3.2700e+02 2.5000e+01 3.6000e+02 3.0500e+02 3.1500e+02\n",
      " 6.0400e+02 3.6600e+02 2.9800e+02 4.7300e+02 3.9800e+02 3.0400e+02\n",
      " 3.4900e+02 3.9400e+02 3.0200e+02 2.6300e+02 3.0100e+02 3.3400e+02\n",
      " 4.6000e+02 3.5300e+02 7.7200e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  4621 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_GLU0_TR diabetes@(x>126)&(x<500)@2 [       nan 7.5000e+01 9.4000e+01 8.8000e+01 9.5000e+01 8.6000e+01\n",
      " 9.7000e+01 8.2000e+01 1.0500e+02 7.8000e+01 7.6000e+01 7.2000e+01\n",
      " 1.4600e+02 9.2000e+01 6.9000e+01 8.5000e+01 9.1000e+01 8.1000e+01\n",
      " 7.4000e+01 9.0000e+01 8.9000e+01 1.3200e+02 1.1500e+02 1.1700e+02\n",
      " 8.4000e+01 1.6300e+02 9.9999e+04 7.9000e+01 6.5000e+01 8.3000e+01\n",
      " 7.3000e+01 6.3000e+01 7.7000e+01 9.6000e+01 7.1000e+01 1.5900e+02\n",
      " 8.0000e+01 6.7000e+01 1.0200e+02 1.9400e+02 1.0000e+02 8.7000e+01\n",
      " 1.0700e+02 6.8000e+01 1.0100e+02 9.3000e+01 1.9800e+02 7.0000e+01\n",
      " 1.1600e+02 1.2000e+02 1.7200e+02 1.1800e+02 1.3000e+02 1.0400e+02\n",
      " 1.1400e+02 6.6000e+01 1.8800e+02 1.1900e+02 1.3700e+02 9.8000e+01\n",
      " 1.1000e+02 1.3800e+02 1.1100e+02 1.7700e+02 2.4100e+02 1.5500e+02\n",
      " 1.0300e+02 1.0600e+02 1.8900e+02 1.2400e+02 1.1200e+02 1.2600e+02\n",
      " 1.2800e+02 1.5400e+02 9.9000e+01 1.4000e+02 1.2200e+02 1.0900e+02\n",
      " 1.6100e+02 2.3500e+02 1.1300e+02 1.4500e+02 1.2900e+02 1.4100e+02\n",
      " 1.2100e+02 2.2900e+02 1.2300e+02 1.3100e+02 1.8500e+02 1.0800e+02\n",
      " 1.2500e+02 2.2400e+02 1.6600e+02 1.2700e+02 2.9200e+02 2.7600e+02\n",
      " 1.9700e+02 1.4200e+02 5.9000e+01 1.9900e+02 1.9600e+02 1.9500e+02\n",
      " 1.7000e+02 2.0800e+02 2.0600e+02 1.4300e+02 1.7400e+02 2.0500e+02\n",
      " 1.4400e+02 2.0700e+02 2.7500e+02 1.7600e+02 1.8200e+02 2.7900e+02\n",
      " 2.4000e+02 2.5700e+02 1.5700e+02 1.7300e+02 2.2500e+02 1.3600e+02\n",
      " 3.1800e+02 1.5600e+02 5.1000e+01 1.4900e+02 2.1800e+02 2.0100e+02\n",
      " 1.8700e+02 1.7800e+02 1.5100e+02 1.5000e+02 2.6700e+02 1.3900e+02\n",
      " 1.5800e+02 1.8000e+02 2.1900e+02 1.4800e+02 2.0900e+02 2.1700e+02\n",
      " 1.9200e+02 1.9000e+02 1.6400e+02 6.4000e+01 1.5200e+02 2.5800e+02\n",
      " 1.7900e+02 1.6900e+02 2.1400e+02 3.3300e+02 6.0000e+01 1.6500e+02\n",
      " 2.3600e+02 1.7100e+02 1.3400e+02 1.5300e+02 2.2100e+02 1.8100e+02\n",
      " 2.1500e+02 1.8400e+02 4.5000e+01 1.3500e+02 2.2800e+02 1.9300e+02\n",
      " 1.3300e+02 5.3000e+01 1.4700e+02 2.9100e+02 2.0000e+02 4.8800e+02\n",
      " 1.6800e+02 1.7500e+02 2.6600e+02 2.4800e+02 2.3000e+02 1.6700e+02\n",
      " 2.6000e+02 2.9900e+02 2.3200e+02 1.6200e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  282 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_DMAG t2_diabetes@(x>20)&(x<200)@2 [4.9000e+01 5.0000e+01 7.7777e+04 5.8000e+01 5.5000e+01 5.2000e+01\n",
      " 5.1000e+01 6.8000e+01 4.5000e+01 5.3000e+01 4.1000e+01 6.5000e+01\n",
      " 5.9000e+01 3.4000e+01 4.7000e+01 6.6000e+01 6.3000e+01 6.4000e+01\n",
      " 6.1000e+01 6.0000e+01 5.6000e+01 7.3000e+01 5.7000e+01 9.9999e+04\n",
      " 4.3000e+01 4.8000e+01 4.4000e+01 7.4000e+01 6.7000e+01 7.1000e+01\n",
      " 4.2000e+01 4.0000e+01 7.0000e+01 3.0000e+01 6.9000e+01 7.8000e+01\n",
      " 6.2000e+01 5.4000e+01 7.6000e+01 4.6000e+01 3.7000e+01 2.7000e+01\n",
      " 7.9000e+01 7.7000e+01 3.8000e+01 7.5000e+01 7.2000e+01 3.6000e+01\n",
      " 3.5000e+01 2.4000e+01 3.3000e+01 8.0000e+01 3.9000e+01 3.2000e+01\n",
      " 2.0000e+01 8.2000e+01        nan 2.9000e+01 2.6000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  1745 , conversion unique [ 2. nan]\n",
      "-----------------------------------------\n",
      "CT1_DMAG t2_diabetes@(x>20)&(x<200)@2 [       nan 7.7777e+04 3.6000e+01 5.0000e+01 6.4000e+01 9.9999e+04\n",
      " 4.4000e+01 4.9000e+01 4.7000e+01 5.4000e+01 6.1000e+01 4.3000e+01\n",
      " 5.8000e+01 4.2000e+01 4.1000e+01 4.0000e+01 5.1000e+01 5.2000e+01\n",
      " 6.7000e+01 6.8000e+01 5.5000e+01 6.3000e+01 5.9000e+01 3.7000e+01\n",
      " 4.5000e+01 3.9000e+01 5.7000e+01 6.6000e+01 4.6000e+01 5.6000e+01\n",
      " 5.3000e+01 6.0000e+01 4.8000e+01 6.2000e+01 3.4000e+01 7.1000e+01\n",
      " 3.8000e+01 3.5000e+01 6.5000e+01 2.9000e+01 1.0000e+00 3.3000e+01\n",
      " 3.0000e+01 7.6000e+01 2.5000e+01 3.1000e+01 3.2000e+01 7.3000e+01\n",
      " 6.9000e+01 2.3000e+01 2.0000e+01 2.7000e+01 7.0000e+01 2.4000e+01\n",
      " 7.4000e+01 2.6000e+01 7.9000e+01 2.8000e+01 7.7000e+01 7.2000e+01\n",
      " 7.5000e+01 5.0000e+00 1.3000e+01]\n",
      "# of filtered=1 before:  5\n",
      "# of filtered=2 after:  6414 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDDMAG t2_diabetes@(x>20)&(x<200)@2 [       nan 7.7777e+04 4.0000e+01 5.1000e+01 6.2000e+01 4.1000e+01\n",
      " 5.0000e+01 9.9999e+04 4.5000e+01 5.6000e+01 5.5000e+01 4.8000e+01\n",
      " 4.4000e+01 5.3000e+01 4.2000e+01 6.7000e+01 5.9000e+01 3.6000e+01\n",
      " 3.1000e+01 6.5000e+01 6.3000e+01 3.2000e+01 5.2000e+01 5.7000e+01\n",
      " 4.6000e+01 6.0000e+01 5.8000e+01 5.4000e+01 4.7000e+01 6.4000e+01\n",
      " 6.1000e+01 4.9000e+01 4.3000e+01 6.8000e+01 2.2000e+01 3.0000e+01\n",
      " 3.9000e+01 2.7000e+01 3.7000e+01 3.4000e+01 3.5000e+01 3.8000e+01\n",
      " 6.6000e+01 2.8000e+01 3.3000e+01 6.9000e+01 1.1000e+01 2.5000e+01\n",
      " 2.4000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  511 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_LIP hyperlipidemia@2@2 [1.0000e+00 2.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  17680\n",
      "# of filtered=2 after:  1308 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_LIP hyperlipidemia@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  89580\n",
      "# of filtered=2 after:  9541 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDLP hyperlipidemia@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7414\n",
      "# of filtered=2 after:  195 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTLP hyperlipidemia@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3391\n",
      "# of filtered=2 after:  38 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_THY thyroid_disease@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8915\n",
      "# of filtered=2 after:  321 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_THY thyroid_disease@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  94539\n",
      "# of filtered=2 after:  4589 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDTH thyroid_disease@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7379\n",
      "# of filtered=2 after:  230 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTTH thyroid_disease@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3369\n",
      "# of filtered=2 after:  67 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_ARTH arthritis@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7838\n",
      "# of filtered=2 after:  1396 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_ARTH arthritis@2@2 [       nan 2.0000e+00 1.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  90257\n",
      "# of filtered=2 after:  8860 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_JOAR arthritis@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  6697\n",
      "# of filtered=2 after:  822 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTAR arthritis@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3235\n",
      "# of filtered=2 after:  239 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_JORM arthritis@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7133\n",
      "# of filtered=2 after:  382 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_JORM rheumatoid_arthritis@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7133\n",
      "# of filtered=2 after:  382 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_OSTE osteoporosis@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8408\n",
      "# of filtered=2 after:  828 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_OSTE osteoporosis@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  94019\n",
      "# of filtered=2 after:  5062 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_DRUGOS osteoporosis@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  7070\n",
      "# of filtered=2 after:  136 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_PARK parkinson@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9220\n",
      "# of filtered=2 after:  6 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_PARK parkinson@2@2 [       nan 6.6666e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  20347\n",
      "# of filtered=2 after:  26 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_PWI pwi_total@(x!=66666)&(x!=77777)&(x!=99999)@x [9.9999e+04 2.7000e+01 7.0000e+00 1.0000e+01 1.1000e+01 1.2000e+01\n",
      " 3.7000e+01 5.0000e+00 0.0000e+00 2.3000e+01 1.9000e+01 1.7000e+01\n",
      " 1.4000e+01 2.6000e+01 9.0000e+00 2.5000e+01 1.0000e+00 2.1000e+01\n",
      " 1.3000e+01 4.0000e+00 1.5000e+01 6.0000e+00 3.2000e+01 2.0000e+00\n",
      " 1.6000e+01 1.8000e+01 3.4000e+01 2.2000e+01 3.6000e+01 8.0000e+00\n",
      " 2.8000e+01 2.0000e+01 3.0000e+01 3.0000e+00 2.9000e+01 3.9000e+01\n",
      " 2.4000e+01 3.5000e+01 3.3000e+01 4.0000e+01 3.8000e+01 3.1000e+01\n",
      " 5.2000e+01 4.9000e+01 5.3000e+01 4.1000e+01 4.8000e+01 4.5000e+01\n",
      " 4.3000e+01 4.6000e+01 4.7000e+01 4.4000e+01 4.2000e+01 5.1000e+01\n",
      " 5.0000e+01        nan 6.6666e+04]\n",
      "# of filtered=1 before:  143\n",
      "# of filtered=2 after:  167 , conversion unique [nan 27.  7. 10. 11. 12. 37.  5.  0. 23. 19. 17. 14. 26.  9. 25.  1. 21.\n",
      " 13.  4. 15.  6. 32.  2. 16. 18. 34. 22. 36.  8. 28. 20. 30.  3. 29. 39.\n",
      " 24. 35. 33. 40. 38. 31. 52. 49. 53. 41. 48. 45. 43. 46. 47. 44. 42. 51.\n",
      " 50.]\n",
      "-----------------------------------------\n",
      "CT1_PWI pwi_total@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.6000e+01 8.0000e+00 1.2000e+01 1.4000e+01 3.8000e+01\n",
      " 1.9000e+01 1.7000e+01 2.8000e+01 1.1000e+01 1.8000e+01 2.0000e+01\n",
      " 1.3000e+01 9.9999e+04 4.0000e+00 1.5000e+01 2.5000e+01 2.7000e+01\n",
      " 2.4000e+01 2.2000e+01 3.2000e+01 9.0000e+00 3.0000e+00 2.0000e+00\n",
      " 2.1000e+01 6.0000e+00 0.0000e+00 2.6000e+01 7.0000e+00 3.4000e+01\n",
      " 1.0000e+00 5.0000e+00 2.9000e+01 1.0000e+01 3.0000e+01 3.1000e+01\n",
      " 3.3000e+01 2.3000e+01 3.5000e+01 3.7000e+01 4.0000e+01 3.6000e+01\n",
      " 4.1000e+01 4.6000e+01 4.7000e+01 4.8000e+01 4.5000e+01 4.2000e+01\n",
      " 4.4000e+01 3.9000e+01 5.2000e+01 5.0000e+01 4.3000e+01 5.1000e+01\n",
      " 4.9000e+01 5.3000e+01 5.4000e+01]\n",
      "# of filtered=1 before:  835\n",
      "# of filtered=2 after:  948 , conversion unique [nan 16.  8. 12. 14. 38. 19. 17. 28. 11. 18. 20. 13.  4. 15. 25. 27. 24.\n",
      " 22. 32.  9.  3.  2. 21.  6.  0. 26.  7. 34.  1.  5. 29. 10. 30. 31. 33.\n",
      " 23. 35. 37. 40. 36. 41. 46. 47. 48. 45. 42. 44. 39. 52. 50. 43. 51. 49.\n",
      " 53. 54.]\n",
      "-----------------------------------------\n",
      "NC1_GASTR chronic_gastritis_stomach_ulcer@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8196\n",
      "# of filtered=2 after:  1040 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_ULCERTY chronic_gastritis_stomach_ulcer@1@2 [6.6666e+04        nan 7.7777e+04 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  304\n",
      "# of filtered=2 after:  304 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GASTRO chronic_gastritis_stomach_ulcer@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  89284\n",
      "# of filtered=2 after:  9843 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_ULCERTY chronic_gastritis_stomach_ulcer@1@2 [       nan 6.6666e+04 7.7777e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  363\n",
      "# of filtered=2 after:  363 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GASULCER chronic_gastritis_stomach_ulcer@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04 6.6666e+04]\n",
      "# of filtered=1 before:  87565\n",
      "# of filtered=2 after:  4475 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDUL chronic_gastritis_stomach_ulcer@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  5969\n",
      "# of filtered=2 after:  1640 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTUL chronic_gastritis_stomach_ulcer@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3273\n",
      "# of filtered=2 after:  211 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_ULCERTY duodenal_ulcer@2@2 [6.6666e+04        nan 7.7777e+04 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  304\n",
      "# of filtered=2 after:  72 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_ULCERTY duodenal_ulcer@2@2 [       nan 6.6666e+04 7.7777e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  363\n",
      "# of filtered=2 after:  91 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_DUOULCER duodenal_ulcer@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04 6.6666e+04]\n",
      "# of filtered=1 before:  90519\n",
      "# of filtered=2 after:  1523 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_UB urinary_tract_infection@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8797\n",
      "# of filtered=2 after:  429 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_UB urinary_tract_infection@2@2 [       nan 1.0000e+00 6.6666e+04 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  36059\n",
      "# of filtered=2 after:  1888 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDUT urinary_tract_infection@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7556\n",
      "# of filtered=2 after:  53 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTUT urinary_tract_infection@2@2 [       nan 1.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  3426\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_HEIGHT height@(x!=66666)&(x!=77777)&(x!=99999)@x [  136.7   159.4   162.5   143.3   154.    164.4   172.1   168.8   155.\n",
      "   163.2   155.2   153.1   150.5   143.1   153.2   156.9   166.5   144.5\n",
      "   154.4   149.1   152.    176.8   143.2   144.8   161.8   164.3   146.8\n",
      "   180.    146.6   146.    164.    165.8   157.    152.9 99999.    171.2\n",
      "   157.8   169.2   160.5   155.6   152.2   149.6   156.    166.1   153.\n",
      "   160.    145.    148.7   147.5   143.4   158.5   169.7   174.5   149.3\n",
      "   144.1   157.5   146.7   155.8   151.5   168.6   163.    160.1   154.9\n",
      "   153.5   163.1   150.    157.7   154.3   161.    154.5   168.1   166.3\n",
      "   142.7   151.3   143.6   148.1   140.6   151.4   163.8   165.7   160.4\n",
      "   150.8   157.3   145.1   147.2   154.7   148.    158.3   153.9   159.3\n",
      "   160.8   146.3   171.8   179.1   148.4   159.5   151.1   146.2   164.2\n",
      "   159.1   162.4   154.6   170.2   151.    140.8   151.9   143.    152.5\n",
      "   160.7   155.4   143.9   145.6   158.8   159.8   155.9   149.5   140.\n",
      "   156.4   162.1   146.4   167.8   154.2   147.    158.1   153.7   157.2\n",
      "   169.1   150.4   157.4   159.    147.7   167.6   164.1   145.5   147.4\n",
      "   165.3   152.6   158.    166.    142.    165.2   161.5   147.8   153.4\n",
      "   150.3   162.8   145.8   165.    169.5   166.8   171.4   151.2   168.5\n",
      "   155.5   153.6   167.3   139.3   156.1   151.7   122.4   151.6   155.7\n",
      "   163.5   170.    168.2   145.3   149.4   152.7   166.4   138.2   156.6\n",
      "   144.4   170.8   172.3   137.6   167.    149.    154.8   162.7   158.2\n",
      "   145.4   162.6   159.7   148.2   137.8   160.9   155.1   175.3   158.9\n",
      "   162.9   142.1   168.4   161.7   171.1   159.9   161.3   160.6   147.1\n",
      "   167.2   176.1   158.6   146.5   148.8   163.7   157.9   152.3   143.8\n",
      "   140.7   150.7   140.1   164.7   165.4   168.9   161.1   141.5   177.1\n",
      "   149.8   135.2   152.4   169.4   163.6   150.6   161.2   173.6   142.8\n",
      "   158.7   170.9   156.7   162.    173.3   161.6   148.6   168.    160.3\n",
      "   174.4   159.2   153.8   170.4   167.4   142.5   166.7   147.9   141.6\n",
      "   168.7   150.1   150.9   161.4   162.2   166.6   158.4   144.7   152.8\n",
      "   134.2   156.3   155.3   165.9   171.7   178.4   144.6   164.5   185.6\n",
      "   142.6   160.2   171.5   139.9   135.    172.5   144.9   163.4   163.3\n",
      "   138.4   156.2   169.8   153.3   165.6   167.5   172.2   170.6   165.5\n",
      "   154.1   161.9   147.6   174.9   173.8   165.1   170.5   132.1   174.6\n",
      "   145.9   149.7   148.5   164.8   146.9   142.9   156.8   170.3   166.2\n",
      "   172.7   166.9   149.2   178.5   172.8   169.6   149.9   145.7   172.4\n",
      "   175.    180.6   146.1   141.4   141.3   156.5   169.9   144.3   137.5\n",
      "   171.3   164.6   171.    169.    175.8   138.    174.1   169.3   167.7\n",
      "   144.2   170.1   177.5   175.4   150.2   168.3   172.9   157.1   142.3\n",
      "   147.3   162.3   170.7   174.7   164.9   173.4   148.3   157.6   139.2\n",
      "   143.5   176.2   141.    163.9   144.    152.1   178.8   148.9   140.3\n",
      "   138.6   173.2   177.    141.2   172.    159.6   145.2   142.4   181.4\n",
      "   175.9   151.8   174.    140.9   143.7   167.1   173.    171.6   135.3\n",
      "   179.    178.3   167.9   175.1   172.6   134.9   173.7   171.9   176.7\n",
      "   176.4   141.1   173.5   175.5   138.9   137.2   175.6   141.7   173.1\n",
      "   138.1   134.5   180.7   139.5   140.4   141.8   138.5   175.7   140.5\n",
      "   173.9   134.8   176.5   139.1   130.3   139.7   181.5   174.3   141.9\n",
      "   137.7   129.5   136.2   177.2   134.6   139.6   177.6   136.5   140.2\n",
      "   137.3   132.8   136.6   178.1   184.5   135.7   137.    174.8   132.\n",
      "   175.2   137.4   138.3   136.8   136.1   183.1   137.9   182.2   180.3\n",
      "   178.2   139.4   120.2   139.    133.1   136.3   139.8   134.4     nan\n",
      "   136.4   176.    142.2   123.    182.7   177.7   177.3   176.9   184.1\n",
      "   179.4   179.8   138.7   174.2   177.4   178.7   116.5   125.2   179.9\n",
      "   176.3   180.4   132.6   181.6   135.6   179.7   123.5   182.5   183.\n",
      "   177.8   184.8   181.    178.    183.3   129.7   180.2   176.6   133.6\n",
      "   131.8   179.5   183.7   133.4   136.    179.2   178.6   182.3   180.9\n",
      "   180.1   191.4   182.    185.7   178.9   130.1   127.9   128.1   133.3\n",
      "   130.8   135.4   180.5   181.2   181.1   180.8   135.1   183.2   131.1\n",
      "   181.7   136.9   179.3   177.9   182.6]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [136.7 159.4 162.5 143.3 154.  164.4 172.1 168.8 155.  163.2 155.2 153.1\n",
      " 150.5 143.1 153.2 156.9 166.5 144.5 154.4 149.1 152.  176.8 143.2 144.8\n",
      " 161.8 164.3 146.8 180.  146.6 146.  164.  165.8 157.  152.9   nan 171.2\n",
      " 157.8 169.2 160.5 155.6 152.2 149.6 156.  166.1 153.  160.  145.  148.7\n",
      " 147.5 143.4 158.5 169.7 174.5 149.3 144.1 157.5 146.7 155.8 151.5 168.6\n",
      " 163.  160.1 154.9 153.5 163.1 150.  157.7 154.3 161.  154.5 168.1 166.3\n",
      " 142.7 151.3 143.6 148.1 140.6 151.4 163.8 165.7 160.4 150.8 157.3 145.1\n",
      " 147.2 154.7 148.  158.3 153.9 159.3 160.8 146.3 171.8 179.1 148.4 159.5\n",
      " 151.1 146.2 164.2 159.1 162.4 154.6 170.2 151.  140.8 151.9 143.  152.5\n",
      " 160.7 155.4 143.9 145.6 158.8 159.8 155.9 149.5 140.  156.4 162.1 146.4\n",
      " 167.8 154.2 147.  158.1 153.7 157.2 169.1 150.4 157.4 159.  147.7 167.6\n",
      " 164.1 145.5 147.4 165.3 152.6 158.  166.  142.  165.2 161.5 147.8 153.4\n",
      " 150.3 162.8 145.8 165.  169.5 166.8 171.4 151.2 168.5 155.5 153.6 167.3\n",
      " 139.3 156.1 151.7 122.4 151.6 155.7 163.5 170.  168.2 145.3 149.4 152.7\n",
      " 166.4 138.2 156.6 144.4 170.8 172.3 137.6 167.  149.  154.8 162.7 158.2\n",
      " 145.4 162.6 159.7 148.2 137.8 160.9 155.1 175.3 158.9 162.9 142.1 168.4\n",
      " 161.7 171.1 159.9 161.3 160.6 147.1 167.2 176.1 158.6 146.5 148.8 163.7\n",
      " 157.9 152.3 143.8 140.7 150.7 140.1 164.7 165.4 168.9 161.1 141.5 177.1\n",
      " 149.8 135.2 152.4 169.4 163.6 150.6 161.2 173.6 142.8 158.7 170.9 156.7\n",
      " 162.  173.3 161.6 148.6 168.  160.3 174.4 159.2 153.8 170.4 167.4 142.5\n",
      " 166.7 147.9 141.6 168.7 150.1 150.9 161.4 162.2 166.6 158.4 144.7 152.8\n",
      " 134.2 156.3 155.3 165.9 171.7 178.4 144.6 164.5 185.6 142.6 160.2 171.5\n",
      " 139.9 135.  172.5 144.9 163.4 163.3 138.4 156.2 169.8 153.3 165.6 167.5\n",
      " 172.2 170.6 165.5 154.1 161.9 147.6 174.9 173.8 165.1 170.5 132.1 174.6\n",
      " 145.9 149.7 148.5 164.8 146.9 142.9 156.8 170.3 166.2 172.7 166.9 149.2\n",
      " 178.5 172.8 169.6 149.9 145.7 172.4 175.  180.6 146.1 141.4 141.3 156.5\n",
      " 169.9 144.3 137.5 171.3 164.6 171.  169.  175.8 138.  174.1 169.3 167.7\n",
      " 144.2 170.1 177.5 175.4 150.2 168.3 172.9 157.1 142.3 147.3 162.3 170.7\n",
      " 174.7 164.9 173.4 148.3 157.6 139.2 143.5 176.2 141.  163.9 144.  152.1\n",
      " 178.8 148.9 140.3 138.6 173.2 177.  141.2 172.  159.6 145.2 142.4 181.4\n",
      " 175.9 151.8 174.  140.9 143.7 167.1 173.  171.6 135.3 179.  178.3 167.9\n",
      " 175.1 172.6 134.9 173.7 171.9 176.7 176.4 141.1 173.5 175.5 138.9 137.2\n",
      " 175.6 141.7 173.1 138.1 134.5 180.7 139.5 140.4 141.8 138.5 175.7 140.5\n",
      " 173.9 134.8 176.5 139.1 130.3 139.7 181.5 174.3 141.9 137.7 129.5 136.2\n",
      " 177.2 134.6 139.6 177.6 136.5 140.2 137.3 132.8 136.6 178.1 184.5 135.7\n",
      " 137.  174.8 132.  175.2 137.4 138.3 136.8 136.1 183.1 137.9 182.2 180.3\n",
      " 178.2 139.4 120.2 139.  133.1 136.3 139.8 134.4 136.4 176.  142.2 123.\n",
      " 182.7 177.7 177.3 176.9 184.1 179.4 179.8 138.7 174.2 177.4 178.7 116.5\n",
      " 125.2 179.9 176.3 180.4 132.6 181.6 135.6 179.7 123.5 182.5 183.  177.8\n",
      " 184.8 181.  178.  183.3 129.7 180.2 176.6 133.6 131.8 179.5 183.7 133.4\n",
      " 136.  179.2 178.6 182.3 180.9 180.1 191.4 182.  185.7 178.9 130.1 127.9\n",
      " 128.1 133.3 130.8 135.4 180.5 181.2 181.1 180.8 135.1 183.2 131.1 181.7\n",
      " 136.9 179.3 177.9 182.6]\n",
      "-----------------------------------------\n",
      "CT1_HEIGHT height@(x!=66666)&(x!=77777)&(x!=99999)@x [    nan   155.    164.    170.    151.    158.3   159.    161.8   154.5\n",
      "   164.6   152.2   179.8   140.    172.2   160.    162.3   177.    170.7\n",
      "   162.2   167.    152.    159.8   150.5   156.    162.4   165.3   158.2\n",
      "   153.9   150.7   152.5   164.5   153.    157.8   157.7   158.    152.3\n",
      "   163.    177.6   156.3   175.    147.    146.5   155.9   157.    176.\n",
      "   153.2   149.    148.    159.6   166.    156.8   160.3   151.6   168.7\n",
      "   155.1   154.1   171.    161.7   157.9   155.7   168.1   162.    154.\n",
      "   168.2   170.9   167.5   160.6   161.    174.7   165.    156.5   163.6\n",
      "   178.    156.7   150.3   154.7   155.6   172.    170.6   159.3   156.6\n",
      "   154.4   153.1   168.    173.6   157.3   171.6   146.6   150.1   177.8\n",
      "   143.2   169.    142.8   167.4   149.5   155.5   167.2   146.2   158.5\n",
      "   167.7   169.8   172.4   158.4   180.4   172.7   179.6   165.8   173.\n",
      "   147.6   156.2   183.3   144.    171.5   152.9   152.8   162.8   157.2\n",
      "   154.3   177.3   174.3   166.4   144.7   164.2   150.2   158.6   152.6\n",
      "   160.9   161.4   185.    149.6   150.    167.9   174.8   154.9   163.8\n",
      "   168.8   167.3   160.7   156.4   177.4   171.4   160.5   163.1   163.2\n",
      "   165.9   163.4   155.2   155.8   154.8   156.9   169.2   154.2   153.3\n",
      "   174.    146.4   162.5   173.1   172.1   159.7   168.9   149.3   169.7\n",
      "   164.9   166.2   151.9   151.4   150.4   168.5   171.3   165.5   153.5\n",
      "   152.7   160.8   176.3   160.2   153.8   150.9   166.6   159.5   170.2\n",
      "   157.4   160.4   166.7   175.4   177.9   160.1   181.4   155.4   148.4\n",
      "   147.7   144.9   179.    161.1   167.6   172.5   159.9   149.1   162.7\n",
      "   155.3   166.3   171.1   174.1   152.4   169.1   167.8   143.    143.3\n",
      "   158.8   165.4   159.2   171.8   151.3   159.4   146.    168.4   174.2\n",
      "   153.7   148.1   149.2   153.6   161.9   166.1   161.3   156.1   161.2\n",
      "   180.    178.9   157.1   165.1   143.4   176.4   161.6   152.1   151.2\n",
      "   173.2   163.7   179.3   182.7   157.6   159.1   164.4   165.6   163.3\n",
      "   178.2   172.6   166.8   157.5   143.9   161.5   140.1   169.9   171.2\n",
      "   173.8   177.1   149.9   170.8   158.9   164.7   169.3   151.8   162.9\n",
      "   148.5   175.2   147.5   147.3   178.8   164.3   148.9   165.2   150.6\n",
      "   149.7   144.8   169.6   151.1   158.7   166.9   145.6   174.6   148.8\n",
      "   147.2   145.    162.1   179.1   170.4   162.6   154.6   176.2   148.6\n",
      "   174.9   175.8   163.9   175.7   173.7   145.4   170.1   173.3   171.9\n",
      "   170.5   172.3   172.9   163.5   184.    151.7   182.    148.3   174.5\n",
      "   147.9   151.5   168.6   147.1   176.9   176.8   166.5   146.9   158.1\n",
      "   178.1   164.8   150.8   142.2   180.1   173.5   153.4   165.7   142.\n",
      "   149.4   172.8   142.7   174.4   188.4   164.1   177.5   146.7   168.3\n",
      "   148.7   175.9   169.4   186.    144.5   142.3   173.9   178.6   181.\n",
      "   183.    178.4   145.8   175.6   178.7   149.8   145.9   176.1   146.8\n",
      "   176.6   178.3   167.1   179.7   145.7   179.9   139.7   170.3   169.5\n",
      "   141.6   141.    144.3   180.5   147.8   148.2   142.5   138.    175.5\n",
      "   146.3   143.5   173.4   143.8   147.4   178.5   180.3   171.7   177.7\n",
      "   146.1   183.7   186.1   181.7 99999.    181.9   142.6   141.9   177.2\n",
      "   183.2   175.1   144.2   187.3   145.5   141.4   176.5   176.7   142.4\n",
      "   144.4   138.7   141.5   189.    183.5   185.6   179.2   180.2   145.1\n",
      "   180.8   144.1   145.3   175.3   184.6   186.6   181.1   142.1   143.1\n",
      "   179.4   182.4   144.6   140.8   182.6   181.5   143.7   184.3   180.7\n",
      "   128.    133.    139.8   182.3   188.7   145.2   187.    140.5   180.6\n",
      "   129.5   183.6   141.7   139.3   179.5   183.4   141.1   140.2   140.3\n",
      "   184.2   139.    143.6   182.9   181.6   137.    184.1   181.3   185.4\n",
      "   181.2   182.2   188.    121.    140.6   140.9   185.3   139.1   134.\n",
      "   133.1   138.3   136.2   138.6   138.8   184.5   136.    182.8   135.3\n",
      "   185.2   183.9   138.4   181.8   185.9   190.    184.7   141.8   139.4\n",
      "   125.    141.2   140.4   142.9   135.    187.9   132.    185.8   139.9\n",
      "   182.1   186.4   182.5   132.9   189.2   184.4   140.7   130.    183.1\n",
      "   185.7   139.5   129.7   185.5   186.5   136.5   189.7   180.9   188.2\n",
      "   134.4   129.    135.8   133.8   194.    183.8   135.9   138.1   186.3\n",
      "   191.    132.8   189.9   135.6   137.9   135.7   126.4   187.6   188.1\n",
      "   186.2   185.1   141.3   139.6   189.5   138.5   186.7   137.6   187.5\n",
      "   187.4   187.8]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan 155.  164.  170.  151.  158.3 159.  161.8 154.5 164.6 152.2 179.8\n",
      " 140.  172.2 160.  162.3 177.  170.7 162.2 167.  152.  159.8 150.5 156.\n",
      " 162.4 165.3 158.2 153.9 150.7 152.5 164.5 153.  157.8 157.7 158.  152.3\n",
      " 163.  177.6 156.3 175.  147.  146.5 155.9 157.  176.  153.2 149.  148.\n",
      " 159.6 166.  156.8 160.3 151.6 168.7 155.1 154.1 171.  161.7 157.9 155.7\n",
      " 168.1 162.  154.  168.2 170.9 167.5 160.6 161.  174.7 165.  156.5 163.6\n",
      " 178.  156.7 150.3 154.7 155.6 172.  170.6 159.3 156.6 154.4 153.1 168.\n",
      " 173.6 157.3 171.6 146.6 150.1 177.8 143.2 169.  142.8 167.4 149.5 155.5\n",
      " 167.2 146.2 158.5 167.7 169.8 172.4 158.4 180.4 172.7 179.6 165.8 173.\n",
      " 147.6 156.2 183.3 144.  171.5 152.9 152.8 162.8 157.2 154.3 177.3 174.3\n",
      " 166.4 144.7 164.2 150.2 158.6 152.6 160.9 161.4 185.  149.6 150.  167.9\n",
      " 174.8 154.9 163.8 168.8 167.3 160.7 156.4 177.4 171.4 160.5 163.1 163.2\n",
      " 165.9 163.4 155.2 155.8 154.8 156.9 169.2 154.2 153.3 174.  146.4 162.5\n",
      " 173.1 172.1 159.7 168.9 149.3 169.7 164.9 166.2 151.9 151.4 150.4 168.5\n",
      " 171.3 165.5 153.5 152.7 160.8 176.3 160.2 153.8 150.9 166.6 159.5 170.2\n",
      " 157.4 160.4 166.7 175.4 177.9 160.1 181.4 155.4 148.4 147.7 144.9 179.\n",
      " 161.1 167.6 172.5 159.9 149.1 162.7 155.3 166.3 171.1 174.1 152.4 169.1\n",
      " 167.8 143.  143.3 158.8 165.4 159.2 171.8 151.3 159.4 146.  168.4 174.2\n",
      " 153.7 148.1 149.2 153.6 161.9 166.1 161.3 156.1 161.2 180.  178.9 157.1\n",
      " 165.1 143.4 176.4 161.6 152.1 151.2 173.2 163.7 179.3 182.7 157.6 159.1\n",
      " 164.4 165.6 163.3 178.2 172.6 166.8 157.5 143.9 161.5 140.1 169.9 171.2\n",
      " 173.8 177.1 149.9 170.8 158.9 164.7 169.3 151.8 162.9 148.5 175.2 147.5\n",
      " 147.3 178.8 164.3 148.9 165.2 150.6 149.7 144.8 169.6 151.1 158.7 166.9\n",
      " 145.6 174.6 148.8 147.2 145.  162.1 179.1 170.4 162.6 154.6 176.2 148.6\n",
      " 174.9 175.8 163.9 175.7 173.7 145.4 170.1 173.3 171.9 170.5 172.3 172.9\n",
      " 163.5 184.  151.7 182.  148.3 174.5 147.9 151.5 168.6 147.1 176.9 176.8\n",
      " 166.5 146.9 158.1 178.1 164.8 150.8 142.2 180.1 173.5 153.4 165.7 142.\n",
      " 149.4 172.8 142.7 174.4 188.4 164.1 177.5 146.7 168.3 148.7 175.9 169.4\n",
      " 186.  144.5 142.3 173.9 178.6 181.  183.  178.4 145.8 175.6 178.7 149.8\n",
      " 145.9 176.1 146.8 176.6 178.3 167.1 179.7 145.7 179.9 139.7 170.3 169.5\n",
      " 141.6 141.  144.3 180.5 147.8 148.2 142.5 138.  175.5 146.3 143.5 173.4\n",
      " 143.8 147.4 178.5 180.3 171.7 177.7 146.1 183.7 186.1 181.7 181.9 142.6\n",
      " 141.9 177.2 183.2 175.1 144.2 187.3 145.5 141.4 176.5 176.7 142.4 144.4\n",
      " 138.7 141.5 189.  183.5 185.6 179.2 180.2 145.1 180.8 144.1 145.3 175.3\n",
      " 184.6 186.6 181.1 142.1 143.1 179.4 182.4 144.6 140.8 182.6 181.5 143.7\n",
      " 184.3 180.7 128.  133.  139.8 182.3 188.7 145.2 187.  140.5 180.6 129.5\n",
      " 183.6 141.7 139.3 179.5 183.4 141.1 140.2 140.3 184.2 139.  143.6 182.9\n",
      " 181.6 137.  184.1 181.3 185.4 181.2 182.2 188.  121.  140.6 140.9 185.3\n",
      " 139.1 134.  133.1 138.3 136.2 138.6 138.8 184.5 136.  182.8 135.3 185.2\n",
      " 183.9 138.4 181.8 185.9 190.  184.7 141.8 139.4 125.  141.2 140.4 142.9\n",
      " 135.  187.9 132.  185.8 139.9 182.1 186.4 182.5 132.9 189.2 184.4 140.7\n",
      " 130.  183.1 185.7 139.5 129.7 185.5 186.5 136.5 189.7 180.9 188.2 134.4\n",
      " 129.  135.8 133.8 194.  183.8 135.9 138.1 186.3 191.  132.8 189.9 135.6\n",
      " 137.9 135.7 126.4 187.6 188.1 186.2 185.1 141.3 139.6 189.5 138.5 186.7\n",
      " 137.6 187.5 187.4 187.8]\n",
      "-----------------------------------------\n",
      "AS1_HEIGHT height@(x!=66666)&(x!=77777)&(x!=99999)@x [  nan 157.6 161.  165.3 169.5 154.  168.7 158.8 140.1 155.5 150.6 157.1\n",
      " 165.8 168.  153.2 154.5 166.  149.3 156.7 167.  142.3 172.5 163.  170.\n",
      " 165.5 168.5 153.6 147.7 164.5 158.5 169.9 154.8 158.3 167.5 153.7 148.5\n",
      " 171.  169.  156.  155.  153.  150.8 157.5 148.6 153.5 159.  152.5 159.5\n",
      " 151.5 168.2 182.5 170.5 147.3 156.8 162.5 165.7 166.5 171.2 161.5 152.\n",
      " 150.  160.  159.8 160.4 175.  174.2 145.  146.8 155.9 174.5 173.5 163.5\n",
      " 151.6 155.3 171.5 170.3 170.2 161.3 146.5 159.3 150.5 152.6 155.7 167.4\n",
      " 155.4 154.2 157.  155.6 173.  143.  172.  158.  142.9 173.9 166.3 162.\n",
      " 150.1 157.3 163.6 161.2 167.8 172.9 172.7 153.8 148.4 164.7 172.8 159.6\n",
      " 161.8 153.1 175.5 168.3 166.2 147.  162.1 154.7 152.7 156.5 151.  150.9\n",
      " 163.3 163.7 154.4 165.  149.  160.9 178.  144.  176.  146.3 160.5 151.4\n",
      " 152.4 152.8 166.4 149.5 156.2 174.8 163.9 161.9 166.1 154.6 164.  173.3\n",
      " 149.2 149.9 177.  160.2 159.4 146.  163.2 180.5 175.4 152.1 162.6 163.8\n",
      " 155.8 148.  168.6 174.3 158.1 169.7 144.5 165.6 171.9 137.5 148.8 164.1\n",
      " 155.1 157.8 150.3 174.  170.8 151.7 151.1 141.4 156.1 166.8 156.3 142.\n",
      " 150.2 145.5 167.7 165.2 151.3 160.3 176.2 145.2 147.8 147.2 169.3 162.4\n",
      " 166.6 148.1 176.5 149.1 165.9 169.1 164.2 153.9 163.4 179.5 177.7 149.8\n",
      " 150.4 147.1 141.6 165.4 150.7 143.2 158.2 146.7 142.2 154.9 184.7 145.1\n",
      " 160.1 159.7 171.4 157.2 178.3 147.9 152.3 176.4 158.4 161.7 162.3 148.3\n",
      " 149.6 157.4 171.6 162.7 134.7 175.8 143.7 141.  138.  156.4 172.3 157.9\n",
      " 169.6 177.6 162.2 159.2 147.5 178.5 169.2 168.9 148.7 171.7 141.7 147.6\n",
      " 181.  158.7 164.3 146.1 168.8 182.2 151.8 143.5 159.1 171.3 171.8 171.1\n",
      " 173.2 181.5 152.2 149.4 155.2 153.3 145.8 178.4 161.1 169.4 176.7 149.7\n",
      " 157.7 161.6 148.2 170.9 172.6 173.4 158.9 132.  167.1 153.4 168.4 175.6\n",
      " 145.9 164.8 185.  154.3 161.4 147.4 182.  176.3 140.5 151.2 144.9 167.2\n",
      " 148.9 167.3 143.6 146.2 177.5 158.6 144.6 145.7 169.8 141.8 144.8 146.6\n",
      " 160.6 160.7 175.9 146.4 156.6 164.6 145.4 174.6 164.4 175.3 173.6 167.9\n",
      " 165.1 154.1 170.4 142.5 144.2 144.3 167.6 177.2 179.  163.1 177.4 168.1\n",
      " 141.2 159.9 140.4 176.8 156.9 151.9 144.1 170.6 174.7 142.7 178.9 183.5\n",
      " 177.3 166.7 139.  178.6 144.7 144.4 172.4 175.7 145.6 170.7 138.7 182.6\n",
      " 141.5 172.2 187.5 152.9 140.2 142.8 139.8 138.5 162.9 160.8 140.  184.\n",
      " 143.9 174.1 133.  145.3 180.  166.9 173.7 162.8 170.1 182.1 139.9 140.8\n",
      " 140.7 142.6 139.6 179.6 173.8 139.3 177.1 143.4 136.4 141.1 146.9 182.3\n",
      " 181.4 174.4 172.1 143.8 137.3 183.4 180.3 164.9 138.9 140.3 135.  134.\n",
      " 142.4 142.1 176.6 175.1 143.1 185.3 177.8 173.1 174.9 139.5 136.3 141.3]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan 157.6 161.  165.3 169.5 154.  168.7 158.8 140.1 155.5 150.6 157.1\n",
      " 165.8 168.  153.2 154.5 166.  149.3 156.7 167.  142.3 172.5 163.  170.\n",
      " 165.5 168.5 153.6 147.7 164.5 158.5 169.9 154.8 158.3 167.5 153.7 148.5\n",
      " 171.  169.  156.  155.  153.  150.8 157.5 148.6 153.5 159.  152.5 159.5\n",
      " 151.5 168.2 182.5 170.5 147.3 156.8 162.5 165.7 166.5 171.2 161.5 152.\n",
      " 150.  160.  159.8 160.4 175.  174.2 145.  146.8 155.9 174.5 173.5 163.5\n",
      " 151.6 155.3 171.5 170.3 170.2 161.3 146.5 159.3 150.5 152.6 155.7 167.4\n",
      " 155.4 154.2 157.  155.6 173.  143.  172.  158.  142.9 173.9 166.3 162.\n",
      " 150.1 157.3 163.6 161.2 167.8 172.9 172.7 153.8 148.4 164.7 172.8 159.6\n",
      " 161.8 153.1 175.5 168.3 166.2 147.  162.1 154.7 152.7 156.5 151.  150.9\n",
      " 163.3 163.7 154.4 165.  149.  160.9 178.  144.  176.  146.3 160.5 151.4\n",
      " 152.4 152.8 166.4 149.5 156.2 174.8 163.9 161.9 166.1 154.6 164.  173.3\n",
      " 149.2 149.9 177.  160.2 159.4 146.  163.2 180.5 175.4 152.1 162.6 163.8\n",
      " 155.8 148.  168.6 174.3 158.1 169.7 144.5 165.6 171.9 137.5 148.8 164.1\n",
      " 155.1 157.8 150.3 174.  170.8 151.7 151.1 141.4 156.1 166.8 156.3 142.\n",
      " 150.2 145.5 167.7 165.2 151.3 160.3 176.2 145.2 147.8 147.2 169.3 162.4\n",
      " 166.6 148.1 176.5 149.1 165.9 169.1 164.2 153.9 163.4 179.5 177.7 149.8\n",
      " 150.4 147.1 141.6 165.4 150.7 143.2 158.2 146.7 142.2 154.9 184.7 145.1\n",
      " 160.1 159.7 171.4 157.2 178.3 147.9 152.3 176.4 158.4 161.7 162.3 148.3\n",
      " 149.6 157.4 171.6 162.7 134.7 175.8 143.7 141.  138.  156.4 172.3 157.9\n",
      " 169.6 177.6 162.2 159.2 147.5 178.5 169.2 168.9 148.7 171.7 141.7 147.6\n",
      " 181.  158.7 164.3 146.1 168.8 182.2 151.8 143.5 159.1 171.3 171.8 171.1\n",
      " 173.2 181.5 152.2 149.4 155.2 153.3 145.8 178.4 161.1 169.4 176.7 149.7\n",
      " 157.7 161.6 148.2 170.9 172.6 173.4 158.9 132.  167.1 153.4 168.4 175.6\n",
      " 145.9 164.8 185.  154.3 161.4 147.4 182.  176.3 140.5 151.2 144.9 167.2\n",
      " 148.9 167.3 143.6 146.2 177.5 158.6 144.6 145.7 169.8 141.8 144.8 146.6\n",
      " 160.6 160.7 175.9 146.4 156.6 164.6 145.4 174.6 164.4 175.3 173.6 167.9\n",
      " 165.1 154.1 170.4 142.5 144.2 144.3 167.6 177.2 179.  163.1 177.4 168.1\n",
      " 141.2 159.9 140.4 176.8 156.9 151.9 144.1 170.6 174.7 142.7 178.9 183.5\n",
      " 177.3 166.7 139.  178.6 144.7 144.4 172.4 175.7 145.6 170.7 138.7 182.6\n",
      " 141.5 172.2 187.5 152.9 140.2 142.8 139.8 138.5 162.9 160.8 140.  184.\n",
      " 143.9 174.1 133.  145.3 180.  166.9 173.7 162.8 170.1 182.1 139.9 140.8\n",
      " 140.7 142.6 139.6 179.6 173.8 139.3 177.1 143.4 136.4 141.1 146.9 182.3\n",
      " 181.4 174.4 172.1 143.8 137.3 183.4 180.3 164.9 138.9 140.3 135.  134.\n",
      " 142.4 142.1 176.6 175.1 143.1 185.3 177.8 173.1 174.9 139.5 136.3 141.3]\n",
      "-----------------------------------------\n",
      "NC1_HIP hip_circumference@(x!=66666)&(x!=77777)&(x!=99999)@x [9.2000e+01 9.4400e+01 8.5600e+01 9.4500e+01 8.4200e+01 8.5400e+01\n",
      " 9.8500e+01 8.5500e+01 1.0100e+02 9.1800e+01 9.0600e+01 7.9600e+01\n",
      " 9.0100e+01 8.6000e+01 9.1300e+01 1.0330e+02 9.6100e+01 8.7700e+01\n",
      " 7.9800e+01 9.9600e+01 9.5000e+01 9.3800e+01 9.1400e+01 9.5100e+01\n",
      " 9.2400e+01 9.3200e+01 7.8000e+01 1.0550e+02 1.0230e+02 8.6300e+01\n",
      " 1.0380e+02 1.0000e+02 8.9100e+01 8.8700e+01 1.0340e+02 1.0300e+02\n",
      " 9.6000e+01 9.4200e+01 8.8400e+01 9.3000e+01 9.1200e+01 8.2800e+01\n",
      " 1.0320e+02 8.7000e+01 9.0800e+01 8.4500e+01 9.3500e+01 9.5800e+01\n",
      " 8.9000e+01 8.5900e+01 9.5300e+01 9.8800e+01 9.0900e+01 1.0400e+02\n",
      " 1.0250e+02 9.3700e+01 9.2300e+01 9.0700e+01 9.8300e+01 8.8200e+01\n",
      " 8.5300e+01 8.4300e+01 8.9500e+01 1.0040e+02 9.5500e+01 1.0170e+02\n",
      " 8.8800e+01 1.0130e+02 9.4000e+01 1.0210e+02 9.2500e+01 8.4600e+01\n",
      " 7.8300e+01 9.4800e+01 8.6100e+01 9.0300e+01 9.7100e+01 1.0800e+02\n",
      " 8.7800e+01 8.6500e+01 9.2900e+01 9.4300e+01 9.1500e+01 9.6700e+01\n",
      " 8.0900e+01 9.2600e+01 8.9900e+01 9.8000e+01 8.6600e+01 9.8400e+01\n",
      " 9.7800e+01 1.0030e+02 8.9600e+01 8.8000e+01 9.0000e+01 9.0200e+01\n",
      " 8.7600e+01 9.7700e+01 1.0200e+02 8.7100e+01 9.9700e+01 8.2000e+01\n",
      " 8.4000e+01 8.4800e+01 9.5700e+01 9.7500e+01 8.8500e+01 8.2200e+01\n",
      " 9.6400e+01 9.1900e+01 9.6500e+01 7.9000e+01 9.4600e+01 9.9000e+01\n",
      " 9.3300e+01 8.9700e+01 8.7300e+01 9.7200e+01 8.7500e+01 9.5600e+01\n",
      " 1.0450e+02 9.1000e+01 8.8100e+01 1.1530e+02 8.1600e+01 9.5900e+01\n",
      " 9.5200e+01 1.1090e+02 9.9999e+04 9.9800e+01 1.0620e+02 9.7000e+01\n",
      " 8.2600e+01 1.0500e+02 8.5000e+01 8.1000e+01 1.0050e+02 8.8300e+01\n",
      " 7.9400e+01 8.7400e+01 7.7000e+01 1.0370e+02 9.9200e+01 9.2100e+01\n",
      " 1.0390e+02 8.8600e+01 9.7400e+01 1.0020e+02 8.0300e+01 8.4100e+01\n",
      " 8.3700e+01 8.5800e+01 9.9300e+01 8.0000e+01 9.8200e+01 1.0270e+02\n",
      " 8.5200e+01 8.3500e+01 1.0010e+02 9.4100e+01 8.9400e+01 8.3000e+01\n",
      " 9.8100e+01 7.9300e+01 9.7600e+01 9.1700e+01 9.3600e+01 8.0700e+01\n",
      " 9.6200e+01 9.6600e+01 8.3300e+01 9.9500e+01 8.6700e+01 1.0530e+02\n",
      " 9.5400e+01 1.1100e+02 8.2500e+01 9.2200e+01 1.1010e+02 9.8600e+01\n",
      " 1.0820e+02 9.3100e+01 8.9800e+01 1.0110e+02 1.0700e+02 8.6800e+01\n",
      " 1.1020e+02 8.3900e+01 9.3400e+01 8.3400e+01 7.9200e+01 1.0640e+02\n",
      " 1.1700e+02 9.9900e+01 1.1160e+02 1.0470e+02 9.6300e+01 1.0750e+02\n",
      " 9.1600e+01 9.7300e+01 7.4900e+01 9.4700e+01 7.7200e+01 8.4400e+01\n",
      " 1.0600e+02 1.0160e+02 1.0240e+02 9.0500e+01 1.1780e+02 1.0080e+02\n",
      " 1.0570e+02 1.0910e+02 1.1600e+02 9.8700e+01 7.0500e+01 1.0850e+02\n",
      " 9.0400e+01 1.0180e+02 7.6000e+01 1.0920e+02 7.9900e+01 9.2800e+01\n",
      " 1.1330e+02 1.0140e+02 1.0360e+02 8.3200e+01 8.2900e+01 9.4900e+01\n",
      " 9.9100e+01 9.9400e+01 9.6900e+01 8.9300e+01 8.1700e+01 1.0190e+02\n",
      " 1.0560e+02 8.4900e+01 9.8900e+01 9.6800e+01 8.1900e+01 8.7900e+01\n",
      " 1.0430e+02 8.0500e+01 1.0150e+02 8.9200e+01 8.1300e+01 8.6400e+01\n",
      " 8.5100e+01 7.6600e+01 1.0120e+02 8.7200e+01 1.0440e+02 1.0070e+02\n",
      " 1.2020e+02 8.8900e+01 1.0720e+02 1.0310e+02 1.1500e+02 8.4700e+01\n",
      " 1.0520e+02 8.0400e+01 1.0660e+02 1.0610e+02 9.1100e+01 1.0900e+02\n",
      " 1.0710e+02 1.0870e+02 8.1200e+01 1.0350e+02 1.0840e+02 8.5700e+01\n",
      " 8.6200e+01 7.7500e+01 9.7900e+01 8.2400e+01 1.1000e+02 1.0460e+02\n",
      " 1.1200e+02 8.3600e+01 1.0760e+02 9.2700e+01 7.9500e+01 1.0730e+02\n",
      " 8.3800e+01 8.1500e+01 1.0940e+02 1.1030e+02 1.0950e+02 1.0060e+02\n",
      " 7.8200e+01 8.1400e+01 7.7900e+01 1.1300e+02 8.6900e+01 9.3900e+01\n",
      " 1.0780e+02 1.0410e+02 1.0420e+02 1.0670e+02 1.0580e+02 1.0280e+02\n",
      " 1.1250e+02 8.3100e+01 1.0590e+02 1.0090e+02 7.5000e+01 8.2700e+01\n",
      " 1.0650e+02 1.1670e+02 1.1050e+02 1.1640e+02 7.8900e+01 1.2620e+02\n",
      " 1.1140e+02 1.0510e+02 1.1220e+02 1.0260e+02 7.5500e+01 8.2100e+01\n",
      " 1.0490e+02 1.0220e+02 1.0960e+02 6.9500e+01 8.1800e+01 7.4000e+01\n",
      " 1.0480e+02 1.1420e+02 7.8600e+01 7.8800e+01 6.2700e+01 7.5600e+01\n",
      " 1.1410e+02 8.0800e+01 1.1900e+02 1.0830e+02 7.8500e+01 1.0930e+02\n",
      " 8.0200e+01 1.0890e+02 7.9700e+01 1.1190e+02 1.1550e+02 7.4600e+01\n",
      " 1.1170e+02 7.7600e+01 7.6300e+01 7.3400e+01 7.5200e+01 7.4500e+01\n",
      " 1.0880e+02 1.2210e+02 6.3000e+01 8.1100e+01 1.1110e+02 1.0540e+02\n",
      " 7.4100e+01 1.2110e+02 7.6100e+01 1.0740e+02 1.4300e+02 1.0860e+02\n",
      " 1.0630e+02 6.8000e+01 8.0600e+01 6.6000e+01 1.1380e+02 1.1400e+02\n",
      " 1.0690e+02 1.1080e+02 7.7300e+01 1.0980e+02 6.5500e+01 1.1150e+02\n",
      " 1.1540e+02 1.1450e+02 8.2300e+01 1.1320e+02 1.1470e+02 1.0290e+02\n",
      " 7.2500e+01 1.1650e+02 1.0680e+02 1.1120e+02 7.3500e+01 5.6500e+01\n",
      "        nan 5.0700e+01 1.2000e+02 1.1800e+02 1.2100e+02 6.6100e+01\n",
      " 7.3000e+01 7.0000e+01 1.1350e+02 1.3800e+02 6.3200e+01 1.2600e+02\n",
      " 1.1950e+02 1.1460e+02 1.2160e+02 7.5900e+01 7.9100e+01 1.1620e+02\n",
      " 7.8700e+01 1.1840e+02 1.1060e+02 7.1900e+01 7.6800e+01 7.1000e+01\n",
      " 1.2500e+02 1.1180e+02 7.6500e+01 5.1700e+01 7.6700e+01 1.1490e+02\n",
      " 6.7800e+01 8.0100e+01 1.0790e+02 1.1870e+02 1.2250e+02 7.1700e+01\n",
      " 1.1040e+02 1.1360e+02 1.2230e+02 1.0810e+02 1.0990e+02 7.6200e+01\n",
      " 1.1130e+02 1.1070e+02 6.9700e+01 7.6900e+01 5.1400e+01 5.8800e+01\n",
      " 7.7800e+01 1.1240e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 92.   94.4  85.6  94.5  84.2  85.4  98.5  85.5 101.   91.8  90.6  79.6\n",
      "  90.1  86.   91.3 103.3  96.1  87.7  79.8  99.6  95.   93.8  91.4  95.1\n",
      "  92.4  93.2  78.  105.5 102.3  86.3 103.8 100.   89.1  88.7 103.4 103.\n",
      "  96.   94.2  88.4  93.   91.2  82.8 103.2  87.   90.8  84.5  93.5  95.8\n",
      "  89.   85.9  95.3  98.8  90.9 104.  102.5  93.7  92.3  90.7  98.3  88.2\n",
      "  85.3  84.3  89.5 100.4  95.5 101.7  88.8 101.3  94.  102.1  92.5  84.6\n",
      "  78.3  94.8  86.1  90.3  97.1 108.   87.8  86.5  92.9  94.3  91.5  96.7\n",
      "  80.9  92.6  89.9  98.   86.6  98.4  97.8 100.3  89.6  88.   90.   90.2\n",
      "  87.6  97.7 102.   87.1  99.7  82.   84.   84.8  95.7  97.5  88.5  82.2\n",
      "  96.4  91.9  96.5  79.   94.6  99.   93.3  89.7  87.3  97.2  87.5  95.6\n",
      " 104.5  91.   88.1 115.3  81.6  95.9  95.2 110.9   nan  99.8 106.2  97.\n",
      "  82.6 105.   85.   81.  100.5  88.3  79.4  87.4  77.  103.7  99.2  92.1\n",
      " 103.9  88.6  97.4 100.2  80.3  84.1  83.7  85.8  99.3  80.   98.2 102.7\n",
      "  85.2  83.5 100.1  94.1  89.4  83.   98.1  79.3  97.6  91.7  93.6  80.7\n",
      "  96.2  96.6  83.3  99.5  86.7 105.3  95.4 111.   82.5  92.2 110.1  98.6\n",
      " 108.2  93.1  89.8 101.1 107.   86.8 110.2  83.9  93.4  83.4  79.2 106.4\n",
      " 117.   99.9 111.6 104.7  96.3 107.5  91.6  97.3  74.9  94.7  77.2  84.4\n",
      " 106.  101.6 102.4  90.5 117.8 100.8 105.7 109.1 116.   98.7  70.5 108.5\n",
      "  90.4 101.8  76.  109.2  79.9  92.8 113.3 101.4 103.6  83.2  82.9  94.9\n",
      "  99.1  99.4  96.9  89.3  81.7 101.9 105.6  84.9  98.9  96.8  81.9  87.9\n",
      " 104.3  80.5 101.5  89.2  81.3  86.4  85.1  76.6 101.2  87.2 104.4 100.7\n",
      " 120.2  88.9 107.2 103.1 115.   84.7 105.2  80.4 106.6 106.1  91.1 109.\n",
      " 107.1 108.7  81.2 103.5 108.4  85.7  86.2  77.5  97.9  82.4 110.  104.6\n",
      " 112.   83.6 107.6  92.7  79.5 107.3  83.8  81.5 109.4 110.3 109.5 100.6\n",
      "  78.2  81.4  77.9 113.   86.9  93.9 107.8 104.1 104.2 106.7 105.8 102.8\n",
      " 112.5  83.1 105.9 100.9  75.   82.7 106.5 116.7 110.5 116.4  78.9 126.2\n",
      " 111.4 105.1 112.2 102.6  75.5  82.1 104.9 102.2 109.6  69.5  81.8  74.\n",
      " 104.8 114.2  78.6  78.8  62.7  75.6 114.1  80.8 119.  108.3  78.5 109.3\n",
      "  80.2 108.9  79.7 111.9 115.5  74.6 111.7  77.6  76.3  73.4  75.2  74.5\n",
      " 108.8 122.1  63.   81.1 111.1 105.4  74.1 121.1  76.1 107.4 143.  108.6\n",
      " 106.3  68.   80.6  66.  113.8 114.  106.9 110.8  77.3 109.8  65.5 111.5\n",
      " 115.4 114.5  82.3 113.2 114.7 102.9  72.5 116.5 106.8 111.2  73.5  56.5\n",
      "  50.7 120.  118.  121.   66.1  73.   70.  113.5 138.   63.2 126.  119.5\n",
      " 114.6 121.6  75.9  79.1 116.2  78.7 118.4 110.6  71.9  76.8  71.  125.\n",
      " 111.8  76.5  51.7  76.7 114.9  67.8  80.1 107.9 118.7 122.5  71.7 110.4\n",
      " 113.6 122.3 108.1 109.9  76.2 111.3 110.7  69.7  76.9  51.4  58.8  77.8\n",
      " 112.4]\n",
      "-----------------------------------------\n",
      "CT1_HIP hip_circumference@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 8.9300e+01 9.6000e+01 9.3000e+01 1.0000e+02 8.4200e+01\n",
      " 9.0000e+01 9.7000e+01 9.0800e+01 9.4100e+01 9.4000e+01 9.8000e+01\n",
      " 8.9000e+01 9.5500e+01 8.8500e+01 1.0200e+02 8.6500e+01 9.1000e+01\n",
      " 9.9100e+01 9.2400e+01 9.2000e+01 9.5000e+01 8.8800e+01 8.3000e+01\n",
      " 1.0150e+02 1.0140e+02 9.5600e+01 8.8600e+01 8.9500e+01 9.1200e+01\n",
      " 1.0100e+02 1.0900e+02 9.3200e+01 9.1500e+01 1.0600e+02 9.3500e+01\n",
      " 1.0500e+02 9.6500e+01 9.7200e+01 9.2500e+01 9.9000e+01 9.1700e+01\n",
      " 9.4500e+01 8.7000e+01 8.0000e+01 1.0350e+02 1.0400e+02 8.6000e+01\n",
      " 8.5000e+01 1.0300e+02 9.6200e+01 1.0250e+02 9.7100e+01 9.4300e+01\n",
      " 8.5200e+01 9.0500e+01 9.5700e+01 1.0410e+02 7.6000e+01 8.1500e+01\n",
      " 9.7600e+01 9.3700e+01 8.8000e+01 7.8000e+01 9.5200e+01 9.2300e+01\n",
      " 9.4200e+01 9.7500e+01 8.6800e+01 9.8500e+01 1.0700e+02 1.0130e+02\n",
      " 9.9200e+01 9.0200e+01 9.1400e+01 8.8100e+01 8.5300e+01 1.0550e+02\n",
      " 9.5800e+01 9.7700e+01 1.0080e+02 1.0310e+02 8.2000e+01 1.1000e+02\n",
      " 1.0910e+02 9.0300e+01 8.7100e+01 8.4500e+01 1.1050e+02 9.7300e+01\n",
      " 9.3600e+01 8.4000e+01 1.0230e+02 9.8100e+01 8.8900e+01 9.8400e+01\n",
      " 8.7800e+01 9.0600e+01 9.0700e+01 8.9800e+01 9.9500e+01 1.0650e+02\n",
      " 8.3500e+01 8.6400e+01 9.8800e+01 9.6300e+01 9.9400e+01 8.7600e+01\n",
      " 1.0090e+02 9.9800e+01 1.0520e+02 9.1300e+01 1.0220e+02 1.0010e+02\n",
      " 1.0320e+02 9.2800e+01 1.0040e+02 1.0740e+02 1.0270e+02 1.0020e+02\n",
      " 9.0400e+01 1.0120e+02 9.1800e+01 9.2100e+01 9.4600e+01 1.0160e+02\n",
      " 9.2200e+01 9.6600e+01 9.6100e+01 8.1800e+01 1.1200e+02 8.8300e+01\n",
      " 9.6700e+01 9.2600e+01 1.0540e+02 9.9999e+04 8.0900e+01 1.0840e+02\n",
      " 8.9200e+01 1.0330e+02 9.3800e+01 9.6900e+01 1.1750e+02 8.5500e+01\n",
      " 9.6400e+01 7.1000e+01 9.4800e+01 5.9000e+01 7.5500e+01 9.3100e+01\n",
      " 9.5400e+01 1.0560e+02 1.0420e+02 9.8900e+01 7.9000e+01 9.7800e+01\n",
      " 1.0730e+02 9.5300e+01 1.0530e+02 1.0050e+02 8.7700e+01 9.1100e+01\n",
      " 8.7500e+01 8.7200e+01 1.0800e+02 8.8200e+01 9.4700e+01 8.5600e+01\n",
      " 9.1600e+01 1.0620e+02 9.8200e+01 7.5100e+01 8.9900e+01 9.2700e+01\n",
      " 9.9300e+01 9.9900e+01 8.5400e+01 1.0110e+02 9.8700e+01 9.3400e+01\n",
      " 8.9400e+01 9.9700e+01 9.8600e+01 9.5100e+01 8.5800e+01 9.8300e+01\n",
      " 8.8700e+01 1.0240e+02 8.7400e+01 1.0960e+02 1.0780e+02 1.0670e+02\n",
      " 1.0510e+02 9.1900e+01 8.5100e+01 9.0100e+01 1.0210e+02 8.4400e+01\n",
      " 8.9600e+01 1.1100e+02 9.9600e+01 9.2900e+01 1.1570e+02 8.8400e+01\n",
      " 1.0070e+02 1.0450e+02 1.1020e+02 8.4300e+01 1.0430e+02 9.8880e+01\n",
      " 9.7400e+01 8.7900e+01 9.6800e+01 1.0180e+02 1.0950e+02 8.4800e+01\n",
      " 8.9700e+01 8.3300e+01 8.1000e+01 1.0060e+02 9.0900e+01 1.0850e+02\n",
      " 7.4000e+01 9.4400e+01 8.6700e+01 8.3800e+01 9.5900e+01 1.0580e+02\n",
      " 8.2600e+01 1.1150e+02 1.0980e+02 1.0990e+02 1.1400e+02 5.7790e+01\n",
      " 8.6100e+01 7.5000e+01 7.8300e+01 1.2360e+02 7.7000e+01 8.3200e+01\n",
      " 1.0030e+02 6.8800e+01 1.0710e+02 8.9100e+01 1.0190e+02 8.3600e+01\n",
      " 1.0940e+02 7.8500e+01 7.6500e+01 1.0260e+02 8.2500e+01 1.0630e+02\n",
      " 8.6200e+01 8.3100e+01 7.9800e+01 8.2800e+01 1.1710e+02 8.3900e+01\n",
      " 8.1100e+01 1.0170e+02 6.0000e+01 1.0920e+02 1.0460e+02 7.9900e+01\n",
      " 1.0280e+02 1.1170e+02 8.4700e+01 1.1280e+02 9.3900e+01 8.6300e+01\n",
      " 1.0380e+02 1.0480e+02 1.1700e+02 8.4600e+01 8.0500e+01 1.0830e+02\n",
      " 1.0750e+02 1.0340e+02 8.2400e+01 1.1060e+02 1.0470e+02 1.1080e+02\n",
      " 1.2100e+02 1.0810e+02 1.0640e+02 1.0390e+02 9.3300e+01 1.1250e+02\n",
      " 8.6900e+01 1.1300e+02 1.1350e+02 1.0570e+02 1.0360e+02 8.0700e+01\n",
      " 8.4100e+01 8.6600e+01 1.1500e+02 8.2200e+01 9.4900e+01 1.1730e+02\n",
      " 1.0820e+02 1.2460e+02 1.1550e+02 8.7300e+01 1.0440e+02 1.2650e+02\n",
      " 1.2600e+02 1.1600e+02 7.7500e+01 1.0660e+02 1.0590e+02 8.3700e+01\n",
      " 1.1900e+02 1.0720e+02 8.5700e+01 1.1780e+02 9.7900e+01 1.0970e+02\n",
      " 1.2000e+02 7.8800e+01 8.4900e+01 8.3400e+01 1.1040e+02 1.1530e+02\n",
      " 1.1090e+02 6.7500e+01 1.0370e+02 1.1830e+02 1.2010e+02 8.1200e+01\n",
      " 8.1600e+01 1.0680e+02 8.2300e+01 1.0610e+02 1.1680e+02 1.4000e+02\n",
      " 7.9200e+01 6.1000e+01 1.1720e+02 8.5900e+01 1.1210e+02 9.5360e+01\n",
      " 1.1010e+02 8.1700e+01 1.1740e+02 7.2100e+01 1.1800e+02 6.4000e+01\n",
      " 1.1120e+02 1.2200e+02 1.0290e+02 8.0100e+01 1.0880e+02 1.0930e+02\n",
      " 1.1110e+02 7.6400e+01 7.9100e+01 8.2900e+01 7.6900e+01 6.8000e+01\n",
      " 1.0870e+02 1.1220e+02 1.0690e+02 8.1400e+01 8.2700e+01 8.2100e+01\n",
      " 7.3000e+01 8.9140e+01 1.1140e+02 1.2800e+02 7.4800e+01 8.1300e+01\n",
      " 1.1340e+02 7.2000e+01 1.1230e+02 1.0790e+02 8.0400e+01 7.9500e+01\n",
      " 8.0300e+01 1.2150e+02 7.8200e+01 7.2600e+01 6.7000e+01 9.0360e+01\n",
      " 7.0500e+01 1.0490e+02 1.1030e+02 6.0600e+01 5.7000e+01 1.1480e+02\n",
      " 6.2000e+01 1.2550e+02 1.1070e+02 3.6800e+01 1.2900e+02 1.1850e+02\n",
      " 1.1520e+02 1.4600e+02 1.3350e+02 7.0000e+01 1.1790e+02 7.4600e+01\n",
      " 6.5300e+01 6.1200e+01 1.1320e+02 7.7700e+01 1.2350e+02 1.1460e+02\n",
      " 1.0770e+02 1.0760e+02 1.1920e+02 8.0800e+01 6.9000e+01 8.0200e+01\n",
      " 1.1270e+02 5.2000e+01 1.1290e+02 7.6600e+01 1.0860e+02 7.7800e+01\n",
      " 7.2500e+01 1.0890e+02 7.8600e+01 3.8200e+01 7.4200e+01 1.2020e+02\n",
      " 6.2400e+01 7.5600e+01 1.2220e+02 1.1670e+02 5.5600e+01 1.2340e+02\n",
      " 1.1430e+02 1.3500e+02 7.8900e+01 8.0600e+01 1.1370e+02 7.5200e+01\n",
      " 7.3500e+01 7.0100e+01 1.2500e+02 1.1160e+02 7.6200e+01 1.2040e+02\n",
      " 5.8000e+01 1.3000e+02 7.3600e+01 1.1240e+02 1.2400e+02 1.3400e+02\n",
      " 1.2430e+02 4.2800e+01 7.5400e+01 1.2450e+02 6.3000e+01 7.7200e+01\n",
      " 6.7100e+01 1.1330e+02 7.8400e+01 6.9700e+01 1.2880e+02 6.5400e+01\n",
      " 1.1410e+02 1.2700e+02 7.9700e+01 6.5800e+01 7.0400e+01 7.2700e+01\n",
      " 1.1560e+02 6.4800e+01 7.7300e+01 7.6100e+01 1.2660e+02 1.1130e+02\n",
      " 8.1900e+01 1.1260e+02 7.5300e+01 7.6700e+01 1.1640e+02 1.2300e+02\n",
      " 7.1300e+01 1.1980e+02 6.8500e+01 5.8500e+01 9.3560e+01 6.5100e+01\n",
      " 1.1450e+02 7.9600e+01 7.9300e+01 5.1400e+01 6.6500e+01 1.7220e+02\n",
      " 7.1200e+01 1.1880e+02 6.5000e+01 6.9400e+01 8.6380e+01 7.9400e+01\n",
      " 8.8410e+01 6.2800e+01 3.4000e+01 1.1440e+02 1.1860e+02 9.0160e+01\n",
      " 1.1590e+02 7.8700e+01 1.1180e+02 7.2800e+01 6.6000e+01 1.2750e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [   nan  89.3   96.    93.   100.    84.2   90.    97.    90.8   94.1\n",
      "  94.    98.    89.    95.5   88.5  102.    86.5   91.    99.1   92.4\n",
      "  92.    95.    88.8   83.   101.5  101.4   95.6   88.6   89.5   91.2\n",
      " 101.   109.    93.2   91.5  106.    93.5  105.    96.5   97.2   92.5\n",
      "  99.    91.7   94.5   87.    80.   103.5  104.    86.    85.   103.\n",
      "  96.2  102.5   97.1   94.3   85.2   90.5   95.7  104.1   76.    81.5\n",
      "  97.6   93.7   88.    78.    95.2   92.3   94.2   97.5   86.8   98.5\n",
      " 107.   101.3   99.2   90.2   91.4   88.1   85.3  105.5   95.8   97.7\n",
      " 100.8  103.1   82.   110.   109.1   90.3   87.1   84.5  110.5   97.3\n",
      "  93.6   84.   102.3   98.1   88.9   98.4   87.8   90.6   90.7   89.8\n",
      "  99.5  106.5   83.5   86.4   98.8   96.3   99.4   87.6  100.9   99.8\n",
      " 105.2   91.3  102.2  100.1  103.2   92.8  100.4  107.4  102.7  100.2\n",
      "  90.4  101.2   91.8   92.1   94.6  101.6   92.2   96.6   96.1   81.8\n",
      " 112.    88.3   96.7   92.6  105.4   80.9  108.4   89.2  103.3   93.8\n",
      "  96.9  117.5   85.5   96.4   71.    94.8   59.    75.5   93.1   95.4\n",
      " 105.6  104.2   98.9   79.    97.8  107.3   95.3  105.3  100.5   87.7\n",
      "  91.1   87.5   87.2  108.    88.2   94.7   85.6   91.6  106.2   98.2\n",
      "  75.1   89.9   92.7   99.3   99.9   85.4  101.1   98.7   93.4   89.4\n",
      "  99.7   98.6   95.1   85.8   98.3   88.7  102.4   87.4  109.6  107.8\n",
      " 106.7  105.1   91.9   85.1   90.1  102.1   84.4   89.6  111.    99.6\n",
      "  92.9  115.7   88.4  100.7  104.5  110.2   84.3  104.3   98.88  97.4\n",
      "  87.9   96.8  101.8  109.5   84.8   89.7   83.3   81.   100.6   90.9\n",
      " 108.5   74.    94.4   86.7   83.8   95.9  105.8   82.6  111.5  109.8\n",
      " 109.9  114.    57.79  86.1   75.    78.3  123.6   77.    83.2  100.3\n",
      "  68.8  107.1   89.1  101.9   83.6  109.4   78.5   76.5  102.6   82.5\n",
      " 106.3   86.2   83.1   79.8   82.8  117.1   83.9   81.1  101.7   60.\n",
      " 109.2  104.6   79.9  102.8  111.7   84.7  112.8   93.9   86.3  103.8\n",
      " 104.8  117.    84.6   80.5  108.3  107.5  103.4   82.4  110.6  104.7\n",
      " 110.8  121.   108.1  106.4  103.9   93.3  112.5   86.9  113.   113.5\n",
      " 105.7  103.6   80.7   84.1   86.6  115.    82.2   94.9  117.3  108.2\n",
      " 124.6  115.5   87.3  104.4  126.5  126.   116.    77.5  106.6  105.9\n",
      "  83.7  119.   107.2   85.7  117.8   97.9  109.7  120.    78.8   84.9\n",
      "  83.4  110.4  115.3  110.9   67.5  103.7  118.3  120.1   81.2   81.6\n",
      " 106.8   82.3  106.1  116.8  140.    79.2   61.   117.2   85.9  112.1\n",
      "  95.36 110.1   81.7  117.4   72.1  118.    64.   111.2  122.   102.9\n",
      "  80.1  108.8  109.3  111.1   76.4   79.1   82.9   76.9   68.   108.7\n",
      " 112.2  106.9   81.4   82.7   82.1   73.    89.14 111.4  128.    74.8\n",
      "  81.3  113.4   72.   112.3  107.9   80.4   79.5   80.3  121.5   78.2\n",
      "  72.6   67.    90.36  70.5  104.9  110.3   60.6   57.   114.8   62.\n",
      " 125.5  110.7   36.8  129.   118.5  115.2  146.   133.5   70.   117.9\n",
      "  74.6   65.3   61.2  113.2   77.7  123.5  114.6  107.7  107.6  119.2\n",
      "  80.8   69.    80.2  112.7   52.   112.9   76.6  108.6   77.8   72.5\n",
      " 108.9   78.6   38.2   74.2  120.2   62.4   75.6  122.2  116.7   55.6\n",
      " 123.4  114.3  135.    78.9   80.6  113.7   75.2   73.5   70.1  125.\n",
      " 111.6   76.2  120.4   58.   130.    73.6  112.4  124.   134.   124.3\n",
      "  42.8   75.4  124.5   63.    77.2   67.1  113.3   78.4   69.7  128.8\n",
      "  65.4  114.1  127.    79.7   65.8   70.4   72.7  115.6   64.8   77.3\n",
      "  76.1  126.6  111.3   81.9  112.6   75.3   76.7  116.4  123.    71.3\n",
      " 119.8   68.5   58.5   93.56  65.1  114.5   79.6   79.3   51.4   66.5\n",
      " 172.2   71.2  118.8   65.    69.4   86.38  79.4   88.41  62.8   34.\n",
      " 114.4  118.6   90.16 115.9   78.7  111.8   72.8   66.   127.5 ]\n",
      "-----------------------------------------\n",
      "AS1_HIP1 hip_circumference@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 9.5700e+01 8.7000e+01 9.1000e+01 9.4000e+01 8.0000e+01\n",
      " 9.5000e+01 8.3000e+01 8.8500e+01 8.4500e+01 8.5500e+01 8.9500e+01\n",
      " 8.9000e+01 9.7500e+01 8.8000e+01 8.0400e+01 9.0000e+01 9.7000e+01\n",
      " 8.5000e+01 9.9700e+01 9.8000e+01 9.4300e+01 9.6000e+01 8.6000e+01\n",
      " 9.5400e+01 9.5500e+01 9.3000e+01 8.8800e+01 1.0000e+02 8.9300e+01\n",
      " 9.9500e+01 9.8500e+01 9.7200e+01 8.4000e+01 1.0350e+02 9.2300e+01\n",
      " 9.2500e+01 9.3500e+01 9.6200e+01 9.1200e+01 1.0100e+02 9.2000e+01\n",
      " 9.9300e+01 1.0150e+02 9.9000e+01 1.0050e+02 1.0300e+02 9.1300e+01\n",
      " 1.0400e+02 9.4500e+01 8.2000e+01 9.7400e+01 8.8200e+01 9.3200e+01\n",
      " 1.0200e+02 9.0200e+01 1.0040e+02 9.4700e+01 9.9200e+01 9.0400e+01\n",
      " 8.6400e+01 9.7600e+01 8.0500e+01 9.8600e+01 1.0520e+02 9.0300e+01\n",
      " 1.0500e+02 9.0500e+01 9.1900e+01 9.6500e+01 1.0170e+02 9.6300e+01\n",
      " 9.5300e+01 1.0600e+02 9.6900e+01 7.7000e+01 9.1500e+01 9.8300e+01\n",
      " 9.5600e+01 8.1500e+01 8.8300e+01 8.6500e+01 9.0100e+01 8.9800e+01\n",
      " 9.9400e+01 9.2700e+01 8.3500e+01 1.0900e+02 1.0250e+02 9.2100e+01\n",
      " 8.5600e+01 1.0120e+02 8.7500e+01 1.0950e+02 9.3700e+01 9.8200e+01\n",
      " 9.5200e+01 1.0450e+02 7.8000e+01 1.0220e+02 1.0770e+02 9.7800e+01\n",
      " 1.1000e+02 9.6400e+01 9.6800e+01 9.6700e+01 9.4200e+01 8.9200e+01\n",
      " 8.1000e+01 1.0550e+02 1.0010e+02 9.5800e+01 9.2200e+01 8.9900e+01\n",
      " 8.3800e+01 8.1900e+01 1.0800e+02 9.4600e+01 9.7700e+01 7.3000e+01\n",
      " 1.0650e+02 1.0750e+02 1.0700e+02 8.9400e+01 1.1400e+02 8.7300e+01\n",
      " 8.4600e+01 9.3100e+01 1.1510e+02 8.5400e+01 1.0370e+02 9.1700e+01\n",
      " 9.0600e+01 9.7300e+01 1.1800e+02 8.6700e+01 9.1400e+01 8.8100e+01\n",
      " 8.5700e+01 7.9000e+01 9.6600e+01 7.5000e+01 9.9999e+04 1.0030e+02\n",
      " 7.8500e+01 1.0130e+02 9.5100e+01 9.2800e+01 8.8400e+01 8.2500e+01\n",
      " 7.4000e+01 1.1250e+02 8.8700e+01 8.5200e+01 1.1200e+02 8.6900e+01\n",
      " 8.9600e+01 9.1600e+01 1.0430e+02 8.7700e+01 1.0070e+02 9.2600e+01\n",
      " 9.3400e+01 8.5100e+01 8.9700e+01 8.2300e+01 9.3900e+01 9.8700e+01\n",
      " 8.8600e+01 1.1600e+02 9.9800e+01 8.7400e+01 9.3300e+01 9.8400e+01\n",
      " 7.6000e+01 1.0340e+02 1.0580e+02 9.6100e+01 1.0330e+02 8.5300e+01\n",
      " 1.1890e+02 8.6200e+01 7.2500e+01 1.0160e+02 1.0670e+02 1.0320e+02\n",
      " 1.1500e+02 8.7600e+01 1.0530e+02 1.1140e+02 1.2300e+02 5.8200e+01\n",
      " 9.2400e+01 1.0540e+02 8.6600e+01 1.2000e+02 9.9600e+01 1.0420e+02\n",
      " 1.0020e+02 9.4100e+01 7.7500e+01 7.4500e+01 1.0230e+02 1.1300e+02\n",
      " 1.0850e+02 8.9100e+01 8.6800e+01 1.0460e+02 9.0800e+01 1.0560e+02\n",
      " 1.1020e+02 8.1600e+01 1.0740e+02 9.8900e+01 7.8300e+01 9.0700e+01\n",
      " 1.0180e+02 7.9500e+01 9.8100e+01 9.4400e+01 8.4900e+01 1.1030e+02\n",
      " 8.4300e+01 9.1800e+01 1.1100e+02 1.1900e+02 8.7800e+01 8.3400e+01\n",
      " 9.3800e+01 1.0410e+02 1.1050e+02 8.6300e+01 1.0860e+02 1.0470e+02\n",
      " 8.7200e+01 8.1100e+01 1.0630e+02 1.1700e+02 7.9200e+01 9.3600e+01\n",
      " 7.5500e+01 8.8900e+01 1.1550e+02 9.4800e+01 7.2000e+01 1.0490e+02\n",
      " 1.1850e+02 1.0060e+02 1.0140e+02 1.0260e+02 1.0270e+02 9.9900e+01\n",
      " 8.7900e+01 1.0930e+02 1.1470e+02 9.0900e+01 1.0710e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  95.7  87.   91.   94.   80.   95.   83.   88.5  84.5  85.5  89.5\n",
      "  89.   97.5  88.   80.4  90.   97.   85.   99.7  98.   94.3  96.   86.\n",
      "  95.4  95.5  93.   88.8 100.   89.3  99.5  98.5  97.2  84.  103.5  92.3\n",
      "  92.5  93.5  96.2  91.2 101.   92.   99.3 101.5  99.  100.5 103.   91.3\n",
      " 104.   94.5  82.   97.4  88.2  93.2 102.   90.2 100.4  94.7  99.2  90.4\n",
      "  86.4  97.6  80.5  98.6 105.2  90.3 105.   90.5  91.9  96.5 101.7  96.3\n",
      "  95.3 106.   96.9  77.   91.5  98.3  95.6  81.5  88.3  86.5  90.1  89.8\n",
      "  99.4  92.7  83.5 109.  102.5  92.1  85.6 101.2  87.5 109.5  93.7  98.2\n",
      "  95.2 104.5  78.  102.2 107.7  97.8 110.   96.4  96.8  96.7  94.2  89.2\n",
      "  81.  105.5 100.1  95.8  92.2  89.9  83.8  81.9 108.   94.6  97.7  73.\n",
      " 106.5 107.5 107.   89.4 114.   87.3  84.6  93.1 115.1  85.4 103.7  91.7\n",
      "  90.6  97.3 118.   86.7  91.4  88.1  85.7  79.   96.6  75.  100.3  78.5\n",
      " 101.3  95.1  92.8  88.4  82.5  74.  112.5  88.7  85.2 112.   86.9  89.6\n",
      "  91.6 104.3  87.7 100.7  92.6  93.4  85.1  89.7  82.3  93.9  98.7  88.6\n",
      " 116.   99.8  87.4  93.3  98.4  76.  103.4 105.8  96.1 103.3  85.3 118.9\n",
      "  86.2  72.5 101.6 106.7 103.2 115.   87.6 105.3 111.4 123.   58.2  92.4\n",
      " 105.4  86.6 120.   99.6 104.2 100.2  94.1  77.5  74.5 102.3 113.  108.5\n",
      "  89.1  86.8 104.6  90.8 105.6 110.2  81.6 107.4  98.9  78.3  90.7 101.8\n",
      "  79.5  98.1  94.4  84.9 110.3  84.3  91.8 111.  119.   87.8  83.4  93.8\n",
      " 104.1 110.5  86.3 108.6 104.7  87.2  81.1 106.3 117.   79.2  93.6  75.5\n",
      "  88.9 115.5  94.8  72.  104.9 118.5 100.6 101.4 102.6 102.7  99.9  87.9\n",
      " 109.3 114.7  90.9 107.1]\n",
      "-----------------------------------------\n",
      "NC1_WAIST waist_circumference@(x!=66666)&(x!=77777)&(x!=99999)@x [9.3000e+01 9.2700e+01 7.9900e+01 8.2400e+01 6.9400e+01 8.5200e+01\n",
      " 9.7200e+01 7.7200e+01 9.7000e+01 8.6800e+01 7.4700e+01 7.8200e+01\n",
      " 7.8600e+01 8.5000e+01 8.9500e+01 1.0310e+02 8.6300e+01 8.6200e+01\n",
      " 7.5800e+01 8.7500e+01 7.9500e+01 8.0500e+01 8.5700e+01 9.4400e+01\n",
      " 8.7200e+01 6.2500e+01 9.8000e+01 9.3500e+01 7.5700e+01 8.9000e+01\n",
      " 8.7300e+01 9.5200e+01 7.9600e+01 1.0080e+02 9.5000e+01 7.7500e+01\n",
      " 9.4100e+01 8.5300e+01 8.4700e+01 7.5300e+01 9.1500e+01 8.6400e+01\n",
      " 8.2000e+01 9.1000e+01 8.3200e+01 8.2100e+01 7.5000e+01 8.5600e+01\n",
      " 7.9800e+01 8.2700e+01 9.9700e+01 7.9000e+01 8.3300e+01 8.8000e+01\n",
      " 7.9300e+01 8.6500e+01 7.8400e+01 8.7000e+01 8.1400e+01 7.8300e+01\n",
      " 8.7100e+01 7.2300e+01 7.4000e+01 8.9400e+01 8.4900e+01 8.0000e+01\n",
      " 7.8000e+01 9.9100e+01 8.4000e+01 7.0000e+01 8.4200e+01 6.4800e+01\n",
      " 7.3000e+01 7.0600e+01 7.6000e+01 9.4300e+01 8.0200e+01 8.5400e+01\n",
      " 8.8200e+01 1.0410e+02 8.0400e+01 8.1900e+01 8.1800e+01 6.3500e+01\n",
      " 7.2500e+01 8.3900e+01 8.7700e+01 8.6900e+01 9.1100e+01 7.3800e+01\n",
      " 8.0900e+01 9.7600e+01 8.9800e+01 8.3500e+01 9.8500e+01 7.7000e+01\n",
      " 6.9100e+01 8.1700e+01 9.7900e+01 7.1000e+01 6.8000e+01 8.4300e+01\n",
      " 8.2200e+01 8.3700e+01 8.6600e+01 1.0280e+02 8.7400e+01 7.8500e+01\n",
      " 7.6400e+01 7.4100e+01 8.8700e+01 9.1300e+01 8.8100e+01 8.2500e+01\n",
      " 8.5900e+01 9.6500e+01 8.3000e+01 8.0300e+01 7.5500e+01 9.0100e+01\n",
      " 9.4600e+01 8.4500e+01 8.2900e+01 9.8900e+01 7.2800e+01 8.5100e+01\n",
      " 7.8700e+01 9.4000e+01 8.8500e+01 7.3100e+01 8.9200e+01 8.9900e+01\n",
      " 7.4500e+01 9.2500e+01 1.0920e+02 9.9999e+04 8.9600e+01 8.3100e+01\n",
      " 9.7300e+01 6.6000e+01 6.9300e+01 8.1500e+01 6.4000e+01 7.5200e+01\n",
      " 9.0000e+01 7.6500e+01 7.3500e+01 8.3400e+01 6.3400e+01 9.1600e+01\n",
      " 1.0400e+02 9.0500e+01 7.2400e+01 8.1600e+01 9.4200e+01 8.6000e+01\n",
      " 9.1700e+01 9.2000e+01 7.0400e+01 9.3100e+01 6.5600e+01 6.8200e+01\n",
      " 1.1010e+02 7.3400e+01 8.8600e+01 7.4300e+01 9.2800e+01 9.6400e+01\n",
      " 9.1800e+01 6.7100e+01 8.3800e+01 9.5100e+01 7.0100e+01 6.6500e+01\n",
      " 7.9400e+01 9.0200e+01 9.5500e+01 9.3600e+01 8.8300e+01 7.7600e+01\n",
      " 7.7700e+01 7.5400e+01 9.0700e+01 8.0600e+01 6.7500e+01 9.9800e+01\n",
      " 7.9200e+01 6.0000e+01 7.2600e+01 9.0800e+01 8.2800e+01 8.4800e+01\n",
      " 9.0600e+01 7.0500e+01 9.2100e+01 7.4200e+01 7.2200e+01 6.2200e+01\n",
      " 8.9300e+01 7.6300e+01 9.2400e+01 6.9700e+01 8.6700e+01 9.4500e+01\n",
      " 9.3300e+01 7.3600e+01 7.2000e+01 7.8800e+01 9.8300e+01 6.8300e+01\n",
      " 7.7400e+01 1.1030e+02 6.8400e+01 8.1100e+01 9.6200e+01 9.2200e+01\n",
      " 9.2300e+01 9.8100e+01 9.9000e+01 7.3700e+01 6.9500e+01 7.1300e+01\n",
      " 9.5400e+01 6.9000e+01 9.0900e+01 9.6800e+01 6.3300e+01 1.0100e+02\n",
      " 8.9100e+01 8.7800e+01 1.1600e+02 8.1000e+01 8.5500e+01 9.5600e+01\n",
      " 7.1500e+01 9.6900e+01 9.4700e+01 6.3800e+01 6.7700e+01 8.2300e+01\n",
      " 6.2800e+01 7.6600e+01 1.0720e+02 9.3200e+01 9.1200e+01 9.6000e+01\n",
      " 1.0330e+02 8.8400e+01 7.9700e+01 9.3700e+01 1.0750e+02 7.8100e+01\n",
      " 8.0100e+01 9.6600e+01 9.7500e+01 9.7100e+01 1.0380e+02 7.5100e+01\n",
      " 1.0270e+02 8.4400e+01 7.4800e+01 6.6900e+01 9.6700e+01 7.7800e+01\n",
      " 6.7900e+01 9.5800e+01 1.0390e+02 1.0260e+02 9.1900e+01 8.1200e+01\n",
      " 7.8900e+01 6.8100e+01 7.2700e+01 8.1300e+01 9.0300e+01 8.3600e+01\n",
      " 8.2600e+01 1.1270e+02 9.6300e+01 6.8900e+01 9.3400e+01 9.7400e+01\n",
      " 7.1600e+01 8.4600e+01 7.1200e+01 7.0300e+01 6.7000e+01 7.6200e+01\n",
      " 1.0030e+02 9.7700e+01 1.0570e+02 8.5800e+01 8.4100e+01 1.0010e+02\n",
      " 1.0000e+02 1.0200e+02 6.8500e+01 9.5900e+01 9.4800e+01 8.6100e+01\n",
      " 6.4200e+01 6.7200e+01 1.0210e+02 1.0850e+02 9.8600e+01 7.7100e+01\n",
      " 9.9900e+01 1.0160e+02 9.5700e+01 1.0150e+02 6.3100e+01 9.9600e+01\n",
      " 1.0770e+02 6.4500e+01 9.2600e+01 9.0400e+01 6.3600e+01 7.2100e+01\n",
      " 7.1100e+01 7.1900e+01 8.0700e+01 6.5500e+01 9.9500e+01 1.0180e+02\n",
      " 1.0650e+02 9.3800e+01 8.9700e+01 9.5300e+01 7.6100e+01 6.6300e+01\n",
      " 7.4600e+01 1.0340e+02 7.9100e+01 7.7300e+01 1.0120e+02 9.9300e+01\n",
      " 7.0900e+01 6.2100e+01 1.1000e+02 1.0250e+02 7.6800e+01 6.0500e+01\n",
      " 1.0530e+02 8.8900e+01 1.0050e+02 9.3900e+01 7.4900e+01 9.2900e+01\n",
      " 6.9600e+01 1.0730e+02 5.8900e+01 1.0430e+02 8.8800e+01 9.4900e+01\n",
      " 8.7900e+01 1.1400e+02 1.0780e+02 1.0450e+02 6.9200e+01 1.0140e+02\n",
      " 9.9400e+01 6.6600e+01 7.0700e+01 9.7800e+01 1.0070e+02 1.0820e+02\n",
      " 6.6700e+01 1.0350e+02 1.0320e+02 8.7600e+01 7.7900e+01 1.0510e+02\n",
      " 6.6200e+01 6.3000e+01 7.3300e+01 7.6700e+01 1.1210e+02 1.0300e+02\n",
      " 9.1400e+01 6.4900e+01 1.0800e+02 7.5600e+01 6.8700e+01 9.6100e+01\n",
      " 9.9200e+01 1.0220e+02 1.0370e+02 6.2000e+01 1.0870e+02 7.0800e+01\n",
      " 7.3200e+01 6.0300e+01 6.7600e+01 9.8400e+01 8.0800e+01 1.0090e+02\n",
      " 7.1700e+01 1.0020e+02 1.0470e+02 1.1780e+02 1.1260e+02 5.9000e+01\n",
      " 9.8700e+01 6.5000e+01 1.0170e+02 1.0630e+02 5.2500e+01 1.0540e+02\n",
      " 1.0290e+02 1.0700e+02 1.0360e+02 6.4400e+01 6.7400e+01 1.0500e+02\n",
      " 6.9900e+01 5.9800e+01 6.5300e+01 9.8200e+01 6.9800e+01 1.0760e+02\n",
      " 7.4400e+01 1.0480e+02 1.0970e+02 9.8800e+01 6.5400e+01 1.0900e+02\n",
      " 1.0440e+02 1.0590e+02 7.0200e+01 6.1400e+01 7.3900e+01 7.5900e+01\n",
      " 1.0060e+02 1.0580e+02 1.0620e+02 5.9600e+01 6.7300e+01 1.0610e+02\n",
      " 7.1800e+01 1.0640e+02 5.9700e+01 1.2350e+02 1.0230e+02 1.1050e+02\n",
      " 1.0240e+02 5.7200e+01 6.6400e+01 1.0520e+02 6.5100e+01 1.1100e+02\n",
      " 1.0040e+02 1.2300e+02 1.0420e+02 6.7800e+01 6.4700e+01 7.6900e+01\n",
      " 5.8400e+01 7.1400e+01 5.1500e+01 1.0560e+02 7.2900e+01 1.1250e+02\n",
      " 1.1460e+02 6.5200e+01 6.2400e+01 1.0110e+02 1.0740e+02 5.7100e+01\n",
      " 1.0550e+02 6.8600e+01 1.0910e+02 1.1120e+02 1.0130e+02 6.5900e+01\n",
      " 1.1650e+02 6.6800e+01 6.5700e+01 6.8800e+01 1.0950e+02 6.2700e+01\n",
      " 6.3200e+01        nan 1.0600e+02 6.0900e+01 6.1200e+01 5.8000e+01\n",
      " 6.1000e+01 1.1300e+02 5.8200e+01 1.3300e+02 5.6400e+01 4.6400e+01\n",
      " 1.1180e+02 1.0890e+02 1.1140e+02 5.8500e+01 1.1240e+02 6.1900e+01\n",
      " 1.0830e+02 5.7500e+01 6.4100e+01 5.9300e+01 1.1200e+02 1.1500e+02\n",
      " 6.3700e+01 5.9400e+01 3.2000e+01 1.1800e+02 1.0490e+02 6.5800e+01\n",
      " 6.3900e+01 6.4300e+01 6.0700e+01 6.1500e+01 1.1870e+02 6.6100e+01\n",
      " 1.0670e+02 6.2600e+01 3.1000e+01 6.4600e+01 1.1370e+02 1.0190e+02\n",
      " 5.6000e+01 6.1800e+01 1.0460e+02 5.4000e+01 5.9500e+01 1.0660e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 93.   92.7  79.9  82.4  69.4  85.2  97.2  77.2  97.   86.8  74.7  78.2\n",
      "  78.6  85.   89.5 103.1  86.3  86.2  75.8  87.5  79.5  80.5  85.7  94.4\n",
      "  87.2  62.5  98.   93.5  75.7  89.   87.3  95.2  79.6 100.8  95.   77.5\n",
      "  94.1  85.3  84.7  75.3  91.5  86.4  82.   91.   83.2  82.1  75.   85.6\n",
      "  79.8  82.7  99.7  79.   83.3  88.   79.3  86.5  78.4  87.   81.4  78.3\n",
      "  87.1  72.3  74.   89.4  84.9  80.   78.   99.1  84.   70.   84.2  64.8\n",
      "  73.   70.6  76.   94.3  80.2  85.4  88.2 104.1  80.4  81.9  81.8  63.5\n",
      "  72.5  83.9  87.7  86.9  91.1  73.8  80.9  97.6  89.8  83.5  98.5  77.\n",
      "  69.1  81.7  97.9  71.   68.   84.3  82.2  83.7  86.6 102.8  87.4  78.5\n",
      "  76.4  74.1  88.7  91.3  88.1  82.5  85.9  96.5  83.   80.3  75.5  90.1\n",
      "  94.6  84.5  82.9  98.9  72.8  85.1  78.7  94.   88.5  73.1  89.2  89.9\n",
      "  74.5  92.5 109.2   nan  89.6  83.1  97.3  66.   69.3  81.5  64.   75.2\n",
      "  90.   76.5  73.5  83.4  63.4  91.6 104.   90.5  72.4  81.6  94.2  86.\n",
      "  91.7  92.   70.4  93.1  65.6  68.2 110.1  73.4  88.6  74.3  92.8  96.4\n",
      "  91.8  67.1  83.8  95.1  70.1  66.5  79.4  90.2  95.5  93.6  88.3  77.6\n",
      "  77.7  75.4  90.7  80.6  67.5  99.8  79.2  60.   72.6  90.8  82.8  84.8\n",
      "  90.6  70.5  92.1  74.2  72.2  62.2  89.3  76.3  92.4  69.7  86.7  94.5\n",
      "  93.3  73.6  72.   78.8  98.3  68.3  77.4 110.3  68.4  81.1  96.2  92.2\n",
      "  92.3  98.1  99.   73.7  69.5  71.3  95.4  69.   90.9  96.8  63.3 101.\n",
      "  89.1  87.8 116.   81.   85.5  95.6  71.5  96.9  94.7  63.8  67.7  82.3\n",
      "  62.8  76.6 107.2  93.2  91.2  96.  103.3  88.4  79.7  93.7 107.5  78.1\n",
      "  80.1  96.6  97.5  97.1 103.8  75.1 102.7  84.4  74.8  66.9  96.7  77.8\n",
      "  67.9  95.8 103.9 102.6  91.9  81.2  78.9  68.1  72.7  81.3  90.3  83.6\n",
      "  82.6 112.7  96.3  68.9  93.4  97.4  71.6  84.6  71.2  70.3  67.   76.2\n",
      " 100.3  97.7 105.7  85.8  84.1 100.1 100.  102.   68.5  95.9  94.8  86.1\n",
      "  64.2  67.2 102.1 108.5  98.6  77.1  99.9 101.6  95.7 101.5  63.1  99.6\n",
      " 107.7  64.5  92.6  90.4  63.6  72.1  71.1  71.9  80.7  65.5  99.5 101.8\n",
      " 106.5  93.8  89.7  95.3  76.1  66.3  74.6 103.4  79.1  77.3 101.2  99.3\n",
      "  70.9  62.1 110.  102.5  76.8  60.5 105.3  88.9 100.5  93.9  74.9  92.9\n",
      "  69.6 107.3  58.9 104.3  88.8  94.9  87.9 114.  107.8 104.5  69.2 101.4\n",
      "  99.4  66.6  70.7  97.8 100.7 108.2  66.7 103.5 103.2  87.6  77.9 105.1\n",
      "  66.2  63.   73.3  76.7 112.1 103.   91.4  64.9 108.   75.6  68.7  96.1\n",
      "  99.2 102.2 103.7  62.  108.7  70.8  73.2  60.3  67.6  98.4  80.8 100.9\n",
      "  71.7 100.2 104.7 117.8 112.6  59.   98.7  65.  101.7 106.3  52.5 105.4\n",
      " 102.9 107.  103.6  64.4  67.4 105.   69.9  59.8  65.3  98.2  69.8 107.6\n",
      "  74.4 104.8 109.7  98.8  65.4 109.  104.4 105.9  70.2  61.4  73.9  75.9\n",
      " 100.6 105.8 106.2  59.6  67.3 106.1  71.8 106.4  59.7 123.5 102.3 110.5\n",
      " 102.4  57.2  66.4 105.2  65.1 111.  100.4 123.  104.2  67.8  64.7  76.9\n",
      "  58.4  71.4  51.5 105.6  72.9 112.5 114.6  65.2  62.4 101.1 107.4  57.1\n",
      " 105.5  68.6 109.1 111.2 101.3  65.9 116.5  66.8  65.7  68.8 109.5  62.7\n",
      "  63.2 106.   60.9  61.2  58.   61.  113.   58.2 133.   56.4  46.4 111.8\n",
      " 108.9 111.4  58.5 112.4  61.9 108.3  57.5  64.1  59.3 112.  115.   63.7\n",
      "  59.4  32.  118.  104.9  65.8  63.9  64.3  60.7  61.5 118.7  66.1 106.7\n",
      "  62.6  31.   64.6 113.7 101.9  56.   61.8 104.6  54.   59.5 106.6]\n",
      "-----------------------------------------\n",
      "CT1_WAIST waist_circumference@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 7.4300e+01 8.2000e+01 7.8000e+01 9.1000e+01 6.6400e+01\n",
      " 8.8000e+01 6.8000e+01 7.6000e+01 8.1000e+01 9.1500e+01 8.9000e+01\n",
      " 7.9000e+01 8.3000e+01 7.2000e+01 7.3000e+01 7.5000e+01 9.6000e+01\n",
      " 8.5000e+01 6.6000e+01 7.7000e+01 8.7700e+01 6.6600e+01 8.1500e+01\n",
      " 7.0600e+01 8.4000e+01 6.7400e+01 6.3000e+01 8.7500e+01 7.6200e+01\n",
      " 7.1500e+01 8.0000e+01 1.0150e+02 8.7000e+01 7.0100e+01 7.4000e+01\n",
      " 7.1000e+01 9.7000e+01 8.2500e+01 7.8500e+01 9.2000e+01 8.6000e+01\n",
      " 8.1300e+01 8.3500e+01 7.5800e+01 6.4000e+01 9.0000e+01 8.5500e+01\n",
      " 1.0850e+02 6.5000e+01 9.3000e+01 9.4000e+01 7.2500e+01 9.1200e+01\n",
      " 8.0300e+01 8.9200e+01 9.0500e+01 8.0500e+01 7.3500e+01 6.8400e+01\n",
      " 7.0300e+01 7.9500e+01 7.0000e+01 8.5200e+01 9.4400e+01 8.0700e+01\n",
      " 6.9000e+01 8.8600e+01 9.2300e+01 7.9800e+01 7.8300e+01 8.1400e+01\n",
      " 9.1100e+01 8.5300e+01 7.1800e+01 6.7000e+01 9.5000e+01 8.9600e+01\n",
      " 8.4200e+01 8.3600e+01 7.8700e+01 7.6600e+01 7.3100e+01 8.6500e+01\n",
      " 8.5600e+01 7.9400e+01 9.4500e+01 9.2500e+01 8.6700e+01 8.3300e+01\n",
      " 9.8000e+01 6.7300e+01 8.6100e+01 8.3200e+01 6.8700e+01 1.0170e+02\n",
      " 7.5500e+01 7.9700e+01 8.7100e+01 8.7800e+01 8.0900e+01 7.6500e+01\n",
      " 7.0200e+01 8.2800e+01 8.8500e+01 6.8200e+01 7.3400e+01 9.6500e+01\n",
      " 6.7500e+01 9.6100e+01 6.5500e+01 8.3800e+01 8.9500e+01 7.7300e+01\n",
      " 7.3200e+01 6.2000e+01 8.1800e+01 7.3700e+01 8.4500e+01 8.7200e+01\n",
      " 7.1300e+01 6.4900e+01 1.0000e+02 9.7400e+01 7.7200e+01 7.8100e+01\n",
      " 9.8900e+01 9.1600e+01 9.2700e+01 8.1200e+01 9.0100e+01 7.9100e+01\n",
      " 7.7500e+01 9.8600e+01 7.6300e+01 6.4500e+01 8.6200e+01 7.4500e+01\n",
      " 9.2400e+01 8.7900e+01 1.0400e+02 6.5200e+01 1.0700e+02 9.9000e+01\n",
      " 7.8800e+01 9.0200e+01 6.8300e+01 9.9500e+01 8.0800e+01 7.4800e+01\n",
      " 8.4300e+01 8.2700e+01 7.6400e+01 6.8500e+01 7.1700e+01 9.4300e+01\n",
      " 7.1100e+01 8.4400e+01 1.0500e+02 9.5500e+01 8.4900e+01 8.1100e+01\n",
      " 5.8500e+01 7.4600e+01 6.5700e+01 8.2300e+01 7.5700e+01 1.0450e+02\n",
      " 8.2400e+01 1.0100e+02 8.0600e+01 8.8900e+01 9.7500e+01 1.0600e+02\n",
      " 7.4400e+01 7.6800e+01 7.9300e+01 8.8400e+01 8.5800e+01 6.9500e+01\n",
      " 7.1200e+01 7.7100e+01 7.8200e+01 7.2800e+01 8.4600e+01 9.3200e+01\n",
      " 7.5100e+01 6.1000e+01 8.0200e+01 8.6400e+01 9.3300e+01 9.6200e+01\n",
      " 8.2600e+01 7.0700e+01 6.3200e+01 8.3100e+01 8.0400e+01 8.9400e+01\n",
      " 9.2800e+01 8.2200e+01 7.6900e+01 7.2200e+01 7.7700e+01 7.2400e+01\n",
      " 8.3400e+01 8.3700e+01 7.5600e+01 9.5700e+01 9.5200e+01 6.0000e+01\n",
      " 8.7400e+01 1.0200e+02 7.7400e+01 5.3000e+01 1.0020e+02 9.7100e+01\n",
      " 9.0300e+01 9.3500e+01 9.7200e+01 8.8300e+01 7.7600e+01 6.4600e+01\n",
      " 6.5800e+01 7.3300e+01 8.7600e+01 1.0110e+02 8.4100e+01 6.7600e+01\n",
      " 9.8300e+01 7.6100e+01 8.8100e+01 7.0500e+01 8.7300e+01 8.5700e+01\n",
      " 5.6000e+01 8.8800e+01 9.1800e+01 7.5200e+01 8.5400e+01 7.8400e+01\n",
      " 7.2600e+01 7.4100e+01 6.9800e+01 9.2600e+01 1.1700e+02 8.0100e+01\n",
      " 6.7100e+01 6.7200e+01 8.6800e+01 9.3800e+01 8.9900e+01 9.7800e+01\n",
      " 7.0800e+01 8.6300e+01 7.9200e+01 6.6800e+01 6.8800e+01 1.1000e+02\n",
      " 7.2300e+01 8.2900e+01 9.9800e+01 7.9600e+01 8.9800e+01 7.8600e+01\n",
      " 8.8200e+01 9.5600e+01 9.5400e+01 6.4200e+01 9.4600e+01 9.0700e+01\n",
      " 7.3800e+01 8.4700e+01 7.7800e+01 6.4100e+01 9.0400e+01 9.1300e+01\n",
      " 6.9100e+01 8.1700e+01 9.5100e+01 6.9400e+01 7.5400e+01 9.3600e+01\n",
      " 1.0350e+02 7.4200e+01 7.4700e+01 1.0800e+02 8.5900e+01 6.6500e+01\n",
      " 8.1600e+01 1.0300e+02 9.9999e+04 1.0980e+02 8.3900e+01 7.6700e+01\n",
      " 6.6200e+01 5.9000e+01 9.5800e+01 6.0800e+01 8.8700e+01 9.8500e+01\n",
      " 7.5900e+01 6.9300e+01 6.9900e+01 9.4700e+01 9.1400e+01 5.5000e+01\n",
      " 9.3700e+01 6.6100e+01 6.8600e+01 6.2400e+01 9.6700e+01 7.8900e+01\n",
      " 1.0440e+02 5.5900e+01 8.4800e+01 8.2100e+01 9.2100e+01 7.4900e+01\n",
      " 7.3600e+01 6.4300e+01 5.8000e+01 9.0600e+01 6.9700e+01 9.3400e+01\n",
      " 9.9600e+01 1.0320e+02 6.1200e+01 6.9200e+01 6.8100e+01 7.0400e+01\n",
      " 5.9400e+01 8.6900e+01 5.9300e+01 6.6300e+01 9.4200e+01 9.4100e+01\n",
      " 9.3900e+01 7.5300e+01 9.2200e+01 9.5300e+01 8.5100e+01 7.1400e+01\n",
      " 6.2500e+01 6.5100e+01 1.0210e+02 6.9600e+01 9.7600e+01 9.0800e+01\n",
      " 9.9200e+01 6.0700e+01 1.0040e+02 7.2900e+01 6.3500e+01 6.0500e+01\n",
      " 8.6600e+01 1.0900e+02 1.0270e+02 9.6400e+01 6.7800e+01 1.0050e+02\n",
      " 6.2600e+01 6.2800e+01 1.2500e+02 6.5900e+01 9.8400e+01 6.8900e+01\n",
      " 9.8100e+01 6.6700e+01 6.4800e+01 7.7900e+01 5.9500e+01 8.9300e+01\n",
      " 8.9100e+01 1.2200e+02 7.1600e+01 7.9900e+01 9.1900e+01 7.0900e+01\n",
      " 1.0960e+02 7.2700e+01 8.9700e+01 1.1100e+02 1.1130e+02 9.8800e+01\n",
      " 1.0120e+02 6.3100e+01 7.2100e+01 1.2600e+02 9.1700e+01 1.1900e+02\n",
      " 1.0650e+02 1.2700e+02 9.8700e+01 1.0220e+02 9.3100e+01 1.1300e+02\n",
      " 6.3300e+01 9.4800e+01 1.0520e+02 6.2200e+01 1.0010e+02 1.0610e+02\n",
      " 1.0060e+02 1.0140e+02 6.3800e+01 5.9700e+01 1.0430e+02 9.4900e+01\n",
      " 9.9300e+01 9.9700e+01 5.7000e+01 1.0090e+02 1.0490e+02 1.0080e+02\n",
      " 7.3900e+01 9.6300e+01 1.0260e+02 1.2160e+02 6.3900e+01 1.0250e+02\n",
      " 1.1170e+02 6.7900e+01 6.1100e+01 8.1900e+01 1.0340e+02 6.1500e+01\n",
      " 6.5400e+01 6.5300e+01 1.0540e+02 1.1500e+02 6.2300e+01 5.2000e+01\n",
      " 1.1200e+02 1.1400e+02 9.6800e+01 9.9900e+01 1.0310e+02 6.1800e+01\n",
      " 5.7200e+01 1.0550e+02 9.2900e+01 9.7700e+01 9.8200e+01 5.7500e+01\n",
      " 6.2700e+01 1.0370e+02 9.9100e+01 5.9800e+01 1.0880e+02 1.0580e+02\n",
      " 1.0410e+02 9.0900e+01 5.8700e+01 6.2100e+01 5.9100e+01 6.3400e+01\n",
      " 1.0070e+02 1.0640e+02 6.6900e+01 6.1900e+01 1.0290e+02 6.0900e+01\n",
      " 1.0420e+02 7.1900e+01 1.0230e+02 6.9070e+01 1.1150e+02 6.4700e+01\n",
      " 6.7700e+01 5.3500e+01 5.4000e+01 6.0100e+01 6.1400e+01 1.0380e+02\n",
      " 6.4400e+01 9.7300e+01 9.6900e+01 1.0630e+02 1.0460e+02 1.0130e+02\n",
      " 5.7800e+01 1.1910e+02 3.3200e+01 1.3000e+02 9.5900e+01 6.5600e+01\n",
      " 1.1600e+02 1.0530e+02 1.0720e+02 9.6600e+01 1.0160e+02 1.0780e+02\n",
      " 1.0820e+02 1.0770e+02 1.0240e+02 1.0280e+02 1.0730e+02 1.0560e+02\n",
      " 9.9400e+01 1.0760e+02 1.2000e+02 9.7900e+01 1.4500e+02 1.1250e+02\n",
      " 6.0400e+01 6.3600e+01 1.0750e+02 1.0030e+02 1.0570e+02 3.4500e+01\n",
      " 1.1040e+02 3.4000e+01 1.0330e+02 1.1050e+02 1.1330e+02 5.3100e+01\n",
      " 1.0680e+02 1.1220e+02 1.1680e+02 1.0390e+02 5.8800e+01 1.0470e+02\n",
      " 1.2150e+02 1.0190e+02 1.0670e+02 1.1350e+02 1.0180e+02 1.1410e+02\n",
      " 6.1700e+01 1.2320e+02 3.1000e+01 5.8300e+01 5.8100e+01 4.8000e+01\n",
      " 5.9200e+01 5.0200e+01 1.1320e+02 1.2250e+02 6.0300e+01 1.0830e+02\n",
      " 5.2300e+01 1.0480e+02 1.0990e+02 5.5200e+01 5.1000e+01 1.1120e+02\n",
      " 5.2100e+01 6.0600e+01 5.5300e+01 1.1160e+02 6.3700e+01 1.1020e+02\n",
      " 1.1030e+02 1.1520e+02 1.1800e+02 8.2390e+01 6.0200e+01 6.1600e+01\n",
      " 9.0020e+01 5.0000e+01 5.8600e+01 5.3200e+01 1.0740e+02 6.2900e+01\n",
      " 7.9090e+01 1.2100e+02 1.1260e+02 5.6900e+01 5.0400e+01 7.2450e+01\n",
      " 5.7400e+01 5.4500e+01 1.0840e+02 1.0940e+02 5.5600e+01 1.0790e+02\n",
      " 5.9600e+01 4.9300e+01 1.0510e+02 7.6960e+01 1.1920e+02 5.8200e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [   nan  74.3   82.    78.    91.    66.4   88.    68.    76.    81.\n",
      "  91.5   89.    79.    83.    72.    73.    75.    96.    85.    66.\n",
      "  77.    87.7   66.6   81.5   70.6   84.    67.4   63.    87.5   76.2\n",
      "  71.5   80.   101.5   87.    70.1   74.    71.    97.    82.5   78.5\n",
      "  92.    86.    81.3   83.5   75.8   64.    90.    85.5  108.5   65.\n",
      "  93.    94.    72.5   91.2   80.3   89.2   90.5   80.5   73.5   68.4\n",
      "  70.3   79.5   70.    85.2   94.4   80.7   69.    88.6   92.3   79.8\n",
      "  78.3   81.4   91.1   85.3   71.8   67.    95.    89.6   84.2   83.6\n",
      "  78.7   76.6   73.1   86.5   85.6   79.4   94.5   92.5   86.7   83.3\n",
      "  98.    67.3   86.1   83.2   68.7  101.7   75.5   79.7   87.1   87.8\n",
      "  80.9   76.5   70.2   82.8   88.5   68.2   73.4   96.5   67.5   96.1\n",
      "  65.5   83.8   89.5   77.3   73.2   62.    81.8   73.7   84.5   87.2\n",
      "  71.3   64.9  100.    97.4   77.2   78.1   98.9   91.6   92.7   81.2\n",
      "  90.1   79.1   77.5   98.6   76.3   64.5   86.2   74.5   92.4   87.9\n",
      " 104.    65.2  107.    99.    78.8   90.2   68.3   99.5   80.8   74.8\n",
      "  84.3   82.7   76.4   68.5   71.7   94.3   71.1   84.4  105.    95.5\n",
      "  84.9   81.1   58.5   74.6   65.7   82.3   75.7  104.5   82.4  101.\n",
      "  80.6   88.9   97.5  106.    74.4   76.8   79.3   88.4   85.8   69.5\n",
      "  71.2   77.1   78.2   72.8   84.6   93.2   75.1   61.    80.2   86.4\n",
      "  93.3   96.2   82.6   70.7   63.2   83.1   80.4   89.4   92.8   82.2\n",
      "  76.9   72.2   77.7   72.4   83.4   83.7   75.6   95.7   95.2   60.\n",
      "  87.4  102.    77.4   53.   100.2   97.1   90.3   93.5   97.2   88.3\n",
      "  77.6   64.6   65.8   73.3   87.6  101.1   84.1   67.6   98.3   76.1\n",
      "  88.1   70.5   87.3   85.7   56.    88.8   91.8   75.2   85.4   78.4\n",
      "  72.6   74.1   69.8   92.6  117.    80.1   67.1   67.2   86.8   93.8\n",
      "  89.9   97.8   70.8   86.3   79.2   66.8   68.8  110.    72.3   82.9\n",
      "  99.8   79.6   89.8   78.6   88.2   95.6   95.4   64.2   94.6   90.7\n",
      "  73.8   84.7   77.8   64.1   90.4   91.3   69.1   81.7   95.1   69.4\n",
      "  75.4   93.6  103.5   74.2   74.7  108.    85.9   66.5   81.6  103.\n",
      " 109.8   83.9   76.7   66.2   59.    95.8   60.8   88.7   98.5   75.9\n",
      "  69.3   69.9   94.7   91.4   55.    93.7   66.1   68.6   62.4   96.7\n",
      "  78.9  104.4   55.9   84.8   82.1   92.1   74.9   73.6   64.3   58.\n",
      "  90.6   69.7   93.4   99.6  103.2   61.2   69.2   68.1   70.4   59.4\n",
      "  86.9   59.3   66.3   94.2   94.1   93.9   75.3   92.2   95.3   85.1\n",
      "  71.4   62.5   65.1  102.1   69.6   97.6   90.8   99.2   60.7  100.4\n",
      "  72.9   63.5   60.5   86.6  109.   102.7   96.4   67.8  100.5   62.6\n",
      "  62.8  125.    65.9   98.4   68.9   98.1   66.7   64.8   77.9   59.5\n",
      "  89.3   89.1  122.    71.6   79.9   91.9   70.9  109.6   72.7   89.7\n",
      " 111.   111.3   98.8  101.2   63.1   72.1  126.    91.7  119.   106.5\n",
      " 127.    98.7  102.2   93.1  113.    63.3   94.8  105.2   62.2  100.1\n",
      " 106.1  100.6  101.4   63.8   59.7  104.3   94.9   99.3   99.7   57.\n",
      " 100.9  104.9  100.8   73.9   96.3  102.6  121.6   63.9  102.5  111.7\n",
      "  67.9   61.1   81.9  103.4   61.5   65.4   65.3  105.4  115.    62.3\n",
      "  52.   112.   114.    96.8   99.9  103.1   61.8   57.2  105.5   92.9\n",
      "  97.7   98.2   57.5   62.7  103.7   99.1   59.8  108.8  105.8  104.1\n",
      "  90.9   58.7   62.1   59.1   63.4  100.7  106.4   66.9   61.9  102.9\n",
      "  60.9  104.2   71.9  102.3   69.07 111.5   64.7   67.7   53.5   54.\n",
      "  60.1   61.4  103.8   64.4   97.3   96.9  106.3  104.6  101.3   57.8\n",
      " 119.1   33.2  130.    95.9   65.6  116.   105.3  107.2   96.6  101.6\n",
      " 107.8  108.2  107.7  102.4  102.8  107.3  105.6   99.4  107.6  120.\n",
      "  97.9  145.   112.5   60.4   63.6  107.5  100.3  105.7   34.5  110.4\n",
      "  34.   103.3  110.5  113.3   53.1  106.8  112.2  116.8  103.9   58.8\n",
      " 104.7  121.5  101.9  106.7  113.5  101.8  114.1   61.7  123.2   31.\n",
      "  58.3   58.1   48.    59.2   50.2  113.2  122.5   60.3  108.3   52.3\n",
      " 104.8  109.9   55.2   51.   111.2   52.1   60.6   55.3  111.6   63.7\n",
      " 110.2  110.3  115.2  118.    82.39  60.2   61.6   90.02  50.    58.6\n",
      "  53.2  107.4   62.9   79.09 121.   112.6   56.9   50.4   72.45  57.4\n",
      "  54.5  108.4  109.4   55.6  107.9   59.6   49.3  105.1   76.96 119.2\n",
      "  58.2 ]\n",
      "-----------------------------------------\n",
      "AS1_WAIST1 waist_circumference@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 8.7000e+01 6.5000e+01 8.4000e+01 6.7000e+01 8.1000e+01\n",
      " 8.9000e+01 7.7500e+01 6.2000e+01 7.4000e+01 6.9000e+01 6.3000e+01\n",
      " 7.5000e+01 7.2000e+01 7.9000e+01 7.6000e+01 6.0600e+01 7.3000e+01\n",
      " 9.2000e+01 7.7000e+01 8.3000e+01 7.1000e+01 8.6000e+01 8.5000e+01\n",
      " 9.0000e+01 7.0000e+01 9.4000e+01 8.7500e+01 9.9000e+01 7.6500e+01\n",
      " 9.1000e+01 8.2000e+01 7.5500e+01 7.7800e+01 8.3500e+01 9.6000e+01\n",
      " 8.0000e+01 9.7000e+01 7.8500e+01 8.8000e+01 7.8000e+01 8.0500e+01\n",
      " 9.8000e+01 8.6500e+01 7.8200e+01 8.8500e+01 1.0000e+02 9.5000e+01\n",
      " 8.7600e+01 1.0050e+02 6.8000e+01 7.0200e+01 9.3700e+01 8.1500e+01\n",
      " 9.3000e+01 1.0200e+02 8.9700e+01 6.9600e+01 6.4000e+01 9.0500e+01\n",
      " 9.1600e+01 9.5200e+01 6.6000e+01 8.5500e+01 7.5800e+01 9.9500e+01\n",
      " 9.4900e+01 8.7800e+01 8.4500e+01 9.4600e+01 8.2300e+01 1.0100e+02\n",
      " 9.5900e+01 7.9500e+01 9.6500e+01 8.1200e+01 7.1500e+01 6.8500e+01\n",
      " 8.2500e+01 7.3500e+01 1.0300e+02 8.9200e+01 9.4500e+01 6.9500e+01\n",
      " 8.0200e+01 9.5500e+01 1.0400e+02 1.0600e+02 7.8700e+01 7.0500e+01\n",
      " 1.0250e+02 9.2500e+01 1.0070e+02 8.9100e+01 8.9500e+01 1.0900e+02\n",
      " 9.9800e+01 8.0800e+01 6.5500e+01 9.3800e+01 8.2200e+01 7.4500e+01\n",
      " 7.0700e+01 9.8500e+01 9.3500e+01 8.3300e+01 8.5700e+01 6.7500e+01\n",
      " 7.3300e+01 9.1500e+01 6.1000e+01 1.0450e+02 7.4400e+01 9.5100e+01\n",
      " 6.7600e+01 9.0200e+01 9.4300e+01 7.9900e+01 1.1800e+02 7.5200e+01\n",
      " 6.9200e+01 8.3200e+01 9.5600e+01 7.1200e+01 7.2500e+01 8.4300e+01\n",
      " 6.9300e+01 6.7200e+01 9.2200e+01 6.6500e+01 6.0000e+01 8.9400e+01\n",
      " 8.2600e+01 1.0500e+02 7.3600e+01 1.0800e+02 8.5200e+01 9.9999e+04\n",
      " 9.7500e+01 8.7100e+01 8.4900e+01 8.1300e+01 9.2600e+01 9.0900e+01\n",
      " 1.1300e+02 8.7200e+01 9.8200e+01 7.0400e+01 1.0700e+02 8.9900e+01\n",
      " 5.6000e+01 9.9300e+01 1.1200e+02 7.7200e+01 1.0420e+02 6.0500e+01\n",
      " 8.1700e+01 8.0900e+01 9.2400e+01 6.4500e+01 9.2900e+01 9.4400e+01\n",
      " 6.2500e+01 7.7700e+01 7.8600e+01 8.6300e+01 7.1700e+01 7.3200e+01\n",
      " 6.1700e+01 9.3600e+01 9.0100e+01 8.7700e+01 9.6700e+01 8.5400e+01\n",
      " 7.4200e+01 8.6200e+01 8.1600e+01 7.7400e+01 9.3400e+01 1.1900e+02\n",
      " 8.5600e+01 7.5300e+01 5.9000e+01 9.9900e+01 1.0170e+02 9.4800e+01\n",
      " 8.4700e+01 1.0150e+02 7.5600e+01 6.9700e+01 7.0100e+01 9.1900e+01\n",
      " 9.0300e+01 9.3300e+01 1.1100e+02 7.7600e+01 8.8700e+01 1.1700e+02\n",
      " 9.2700e+01 8.8600e+01 8.8900e+01 8.1100e+01 8.3600e+01 6.8700e+01\n",
      " 7.8400e+01 9.3200e+01 8.8800e+01 8.8100e+01 9.0400e+01 8.8400e+01\n",
      " 1.0850e+02 1.1000e+02 7.2300e+01 9.1300e+01 9.0700e+01 8.4200e+01\n",
      " 8.4600e+01 5.8000e+01 1.1050e+02 1.1400e+02 9.0800e+01 9.8900e+01\n",
      " 7.3400e+01 9.2300e+01 7.4900e+01 1.1120e+02 1.0350e+02 9.5700e+01\n",
      " 8.8300e+01 7.6400e+01 8.3900e+01 7.9800e+01 8.1800e+01 7.6300e+01\n",
      " 8.3700e+01 8.7300e+01 9.9200e+01 8.2900e+01 6.9400e+01 8.2100e+01\n",
      " 8.5300e+01 7.5700e+01 8.3800e+01 1.1150e+02 9.8100e+01 8.6600e+01\n",
      " 6.3500e+01 9.5300e+01 9.6400e+01 5.7000e+01 7.4800e+01 9.1700e+01\n",
      " 8.5800e+01 7.8100e+01 7.8300e+01 1.0950e+02 7.9600e+01 6.1500e+01\n",
      " 7.6700e+01 6.8600e+01 7.8800e+01 7.3800e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  87.   65.   84.   67.   81.   89.   77.5  62.   74.   69.   63.\n",
      "  75.   72.   79.   76.   60.6  73.   92.   77.   83.   71.   86.   85.\n",
      "  90.   70.   94.   87.5  99.   76.5  91.   82.   75.5  77.8  83.5  96.\n",
      "  80.   97.   78.5  88.   78.   80.5  98.   86.5  78.2  88.5 100.   95.\n",
      "  87.6 100.5  68.   70.2  93.7  81.5  93.  102.   89.7  69.6  64.   90.5\n",
      "  91.6  95.2  66.   85.5  75.8  99.5  94.9  87.8  84.5  94.6  82.3 101.\n",
      "  95.9  79.5  96.5  81.2  71.5  68.5  82.5  73.5 103.   89.2  94.5  69.5\n",
      "  80.2  95.5 104.  106.   78.7  70.5 102.5  92.5 100.7  89.1  89.5 109.\n",
      "  99.8  80.8  65.5  93.8  82.2  74.5  70.7  98.5  93.5  83.3  85.7  67.5\n",
      "  73.3  91.5  61.  104.5  74.4  95.1  67.6  90.2  94.3  79.9 118.   75.2\n",
      "  69.2  83.2  95.6  71.2  72.5  84.3  69.3  67.2  92.2  66.5  60.   89.4\n",
      "  82.6 105.   73.6 108.   85.2  97.5  87.1  84.9  81.3  92.6  90.9 113.\n",
      "  87.2  98.2  70.4 107.   89.9  56.   99.3 112.   77.2 104.2  60.5  81.7\n",
      "  80.9  92.4  64.5  92.9  94.4  62.5  77.7  78.6  86.3  71.7  73.2  61.7\n",
      "  93.6  90.1  87.7  96.7  85.4  74.2  86.2  81.6  77.4  93.4 119.   85.6\n",
      "  75.3  59.   99.9 101.7  94.8  84.7 101.5  75.6  69.7  70.1  91.9  90.3\n",
      "  93.3 111.   77.6  88.7 117.   92.7  88.6  88.9  81.1  83.6  68.7  78.4\n",
      "  93.2  88.8  88.1  90.4  88.4 108.5 110.   72.3  91.3  90.7  84.2  84.6\n",
      "  58.  110.5 114.   90.8  98.9  73.4  92.3  74.9 111.2 103.5  95.7  88.3\n",
      "  76.4  83.9  79.8  81.8  76.3  83.7  87.3  99.2  82.9  69.4  82.1  85.3\n",
      "  75.7  83.8 111.5  98.1  86.6  63.5  95.3  96.4  57.   74.8  91.7  85.8\n",
      "  78.1  78.3 109.5  79.6  61.5  76.7  68.6  78.8  73.8]\n",
      "-----------------------------------------\n",
      "NC1_WEIGHT weight@(x!=66666)&(x!=77777)&(x!=99999)@x [5.7100e+01 6.0300e+01 5.6800e+01 5.6500e+01 4.3500e+01 6.1000e+01\n",
      " 8.0600e+01 5.5800e+01 7.7800e+01 6.5000e+01 5.7600e+01 4.7000e+01\n",
      " 5.4000e+01 4.8600e+01 6.2500e+01 8.1500e+01 6.4400e+01 4.5200e+01\n",
      " 5.2500e+01 5.7200e+01 5.7000e+01 6.9800e+01 5.2400e+01 5.6900e+01\n",
      " 6.1400e+01 3.5700e+01 8.7300e+01 6.2400e+01 4.4300e+01 7.0300e+01\n",
      " 7.2900e+01 5.7900e+01 4.9100e+01 9.9999e+04 7.7900e+01 7.7500e+01\n",
      " 5.8200e+01 7.1800e+01 6.0600e+01 6.4300e+01 6.2200e+01 4.6400e+01\n",
      " 5.1900e+01 5.4700e+01 5.5600e+01 5.6300e+01 4.9300e+01 5.1300e+01\n",
      " 5.2900e+01 5.8400e+01 5.7700e+01 8.3600e+01 5.1200e+01 5.1500e+01\n",
      " 5.0300e+01 6.1800e+01 5.0800e+01 8.0300e+01 5.5500e+01 4.8400e+01\n",
      " 6.3100e+01 6.1300e+01 4.4000e+01 6.9900e+01 6.5600e+01 5.5400e+01\n",
      " 5.7800e+01 5.3300e+01 5.3000e+01 8.2500e+01 4.0700e+01 6.0900e+01\n",
      " 4.2600e+01 3.5600e+01 4.9900e+01 6.4900e+01 4.6200e+01 6.7100e+01\n",
      " 5.5100e+01 5.9200e+01 9.5400e+01 5.2100e+01 5.4100e+01 4.9800e+01\n",
      " 5.8700e+01 5.0200e+01 5.9400e+01 5.3100e+01 5.2800e+01 6.8900e+01\n",
      " 5.0600e+01 4.5900e+01 7.9900e+01 5.9600e+01 6.6100e+01 6.5300e+01\n",
      " 5.6000e+01 5.7400e+01 4.9000e+01 6.2800e+01 5.6100e+01 5.9800e+01\n",
      " 5.3800e+01 6.5900e+01 6.5200e+01 6.3300e+01 8.5100e+01 4.7800e+01\n",
      " 5.4900e+01 4.0300e+01 5.2000e+01 5.4400e+01 4.3300e+01 4.9500e+01\n",
      " 5.1800e+01 5.0000e+01 6.7400e+01 6.3400e+01 6.8200e+01 6.3200e+01\n",
      " 5.3200e+01 5.6400e+01 4.8100e+01 6.6600e+01 6.5700e+01 8.0100e+01\n",
      " 5.4600e+01 5.7300e+01 6.3700e+01 6.0700e+01 6.0100e+01 8.1300e+01\n",
      " 5.5300e+01 5.2200e+01 7.0200e+01 5.5000e+01 6.7800e+01 5.8100e+01\n",
      " 6.9700e+01 6.1100e+01 8.8700e+01 6.6300e+01 5.9100e+01 7.0100e+01\n",
      " 6.0200e+01 7.4100e+01 5.0100e+01 6.4200e+01 6.8000e+01 6.6400e+01\n",
      " 7.6800e+01 5.5700e+01 4.2300e+01 6.3600e+01 4.8700e+01 4.7200e+01\n",
      " 6.8700e+01 6.6000e+01 6.3900e+01 4.6000e+01 3.9600e+01 4.9700e+01\n",
      " 7.0500e+01 3.4400e+01 4.4700e+01 4.7400e+01 6.2000e+01 7.5000e+01\n",
      " 5.9300e+01 7.7600e+01 6.2300e+01 3.9100e+01 7.6100e+01 4.4200e+01\n",
      " 4.7900e+01 3.4900e+01 5.9700e+01 4.6100e+01 8.3400e+01 5.1600e+01\n",
      " 4.9200e+01 7.2800e+01 7.4600e+01 5.3600e+01 7.0700e+01 7.1600e+01\n",
      " 4.4400e+01 5.8000e+01 6.1500e+01 4.1300e+01 4.8900e+01 7.5200e+01\n",
      " 4.3800e+01 5.6700e+01 6.4600e+01 5.1400e+01 4.5000e+01 5.2300e+01\n",
      " 7.3300e+01 3.9000e+01 4.3200e+01 7.4400e+01 7.2100e+01 6.7600e+01\n",
      " 4.2700e+01 8.8200e+01 6.0400e+01 5.4800e+01 6.6700e+01 4.7700e+01\n",
      " 4.8800e+01 6.2900e+01 6.7300e+01 7.0000e+01 4.8300e+01 5.8800e+01\n",
      " 6.2100e+01 6.3800e+01 4.9400e+01 4.6600e+01 3.7600e+01 5.2600e+01\n",
      " 5.5200e+01 3.8100e+01 5.3400e+01 4.7500e+01 7.5400e+01 5.6600e+01\n",
      " 6.7900e+01 6.5800e+01 6.9500e+01 6.2600e+01 7.3900e+01 6.4700e+01\n",
      " 6.9600e+01 7.0900e+01 6.0800e+01 4.1800e+01 8.3000e+01 4.4800e+01\n",
      " 6.5500e+01 4.9600e+01 7.5600e+01 6.4000e+01 6.6800e+01 4.8200e+01\n",
      " 9.1600e+01 6.7200e+01 6.8500e+01 5.0700e+01 8.0000e+01 7.5100e+01\n",
      " 5.9000e+01 7.7300e+01 6.0500e+01 8.2800e+01 6.9200e+01 6.4800e+01\n",
      " 6.1200e+01 8.4400e+01 4.7600e+01 7.1700e+01 7.1100e+01 5.2700e+01\n",
      " 7.0400e+01 4.4500e+01 6.8300e+01 4.1400e+01 6.2700e+01 7.8800e+01\n",
      " 7.2500e+01 6.1900e+01 7.5900e+01 7.2300e+01 7.2200e+01 5.8900e+01\n",
      " 8.3300e+01 8.1000e+01 3.3800e+01 4.1900e+01 5.1000e+01 6.7000e+01\n",
      " 7.1200e+01 4.5700e+01 5.7500e+01 4.3900e+01 9.2700e+01 6.1700e+01\n",
      " 7.8500e+01 1.0420e+02 5.8300e+01 4.2500e+01 6.6200e+01 6.6900e+01\n",
      " 5.8500e+01 1.0010e+02 3.3400e+01 6.0000e+01 5.8600e+01 4.4100e+01\n",
      " 9.3600e+01 6.1600e+01 7.2000e+01 6.9300e+01 4.6700e+01 5.9900e+01\n",
      " 8.0800e+01 8.0500e+01 5.0900e+01 3.9700e+01 6.3000e+01 7.6300e+01\n",
      " 1.0380e+02 4.4600e+01 4.0500e+01 6.4500e+01 6.4100e+01 7.7100e+01\n",
      " 3.6900e+01 5.5900e+01 6.8800e+01 7.9200e+01 6.8600e+01 5.4500e+01\n",
      " 7.4700e+01 6.5400e+01 4.8000e+01 6.6500e+01 6.5100e+01 6.3500e+01\n",
      " 4.6500e+01 6.7700e+01 6.9400e+01 8.4700e+01 8.7200e+01 5.9500e+01\n",
      " 7.7000e+01 8.7900e+01 7.5500e+01 4.1100e+01 7.3200e+01 4.6800e+01\n",
      " 7.8000e+01 5.6200e+01 3.7100e+01 5.3500e+01 7.1900e+01 7.9800e+01\n",
      " 7.6200e+01 7.4000e+01 8.3200e+01 5.3700e+01 3.8400e+01 6.9000e+01\n",
      " 7.8200e+01 6.9100e+01 7.8300e+01 7.3000e+01 5.3900e+01 7.1500e+01\n",
      " 7.3700e+01 7.1000e+01 3.9200e+01 7.6000e+01 8.5700e+01 4.8500e+01\n",
      " 8.6200e+01 4.2000e+01 5.4200e+01 4.3100e+01 5.1100e+01 7.0600e+01\n",
      " 7.3400e+01 4.5300e+01 4.1200e+01 3.8300e+01 3.8500e+01 6.8400e+01\n",
      " 7.6400e+01 7.3100e+01 8.1100e+01 8.6800e+01 7.2400e+01 8.1900e+01\n",
      " 3.9900e+01 7.3600e+01 8.2300e+01 7.9000e+01 4.2400e+01 4.1500e+01\n",
      " 4.5400e+01 4.0400e+01 5.4300e+01 7.8100e+01 4.6300e+01 5.0400e+01\n",
      " 7.8700e+01 9.1400e+01 7.3500e+01 4.1600e+01 9.2300e+01 4.5800e+01\n",
      " 9.0600e+01 5.1700e+01 7.4900e+01 7.4300e+01 7.6600e+01 4.2200e+01\n",
      " 8.1400e+01 3.7300e+01 4.2100e+01 9.0300e+01 8.1200e+01 4.5600e+01\n",
      " 9.7500e+01 6.7500e+01 4.6900e+01 9.1900e+01 7.7400e+01 7.4500e+01\n",
      " 8.5500e+01 6.8100e+01 8.4900e+01 7.6500e+01 8.5900e+01 8.6900e+01\n",
      " 3.8600e+01 9.0500e+01 8.9200e+01 7.5800e+01 7.2600e+01 7.0800e+01\n",
      " 4.4900e+01 7.4200e+01 4.0600e+01 4.7100e+01 7.9400e+01 7.3800e+01\n",
      " 7.7700e+01 3.7200e+01 7.4800e+01 7.1400e+01 8.2000e+01 7.8600e+01\n",
      " 3.8900e+01 7.9500e+01 7.2700e+01 8.6000e+01 3.6100e+01 8.9700e+01\n",
      " 8.3800e+01 8.7000e+01 8.6300e+01 8.4100e+01 7.1300e+01 3.4500e+01\n",
      " 9.1200e+01 8.3700e+01 7.8400e+01 8.9300e+01 3.7400e+01 9.2000e+01\n",
      " 4.3600e+01 7.6700e+01 3.9300e+01 8.5000e+01 4.0000e+01 8.0400e+01\n",
      " 1.0310e+02 4.3000e+01 4.7300e+01 7.9100e+01 7.5700e+01 5.0500e+01\n",
      " 9.0800e+01 3.7900e+01 8.4300e+01 3.9400e+01 4.5100e+01 7.6900e+01\n",
      " 8.4800e+01 3.9500e+01 8.9900e+01 8.2100e+01 7.5300e+01 4.5500e+01\n",
      " 7.9300e+01 3.9800e+01 8.2700e+01 3.0000e+01 8.7600e+01 9.4300e+01\n",
      " 8.5200e+01 9.2400e+01 4.3400e+01 7.8900e+01 4.0900e+01 8.6400e+01\n",
      " 3.7800e+01 9.2900e+01 8.4000e+01 4.2800e+01 8.9000e+01 3.7500e+01\n",
      " 7.9600e+01 4.1700e+01 3.5000e+01 8.3100e+01 8.8500e+01 1.2430e+02\n",
      " 3.8200e+01 7.9700e+01 3.3300e+01 4.0200e+01 8.0200e+01 8.9100e+01\n",
      " 3.7700e+01 8.0700e+01 8.2900e+01 8.4500e+01 1.0960e+02 3.6700e+01\n",
      " 3.5800e+01 4.3700e+01 3.2300e+01 7.7200e+01 3.6800e+01 2.9000e+01\n",
      " 3.4800e+01 8.1600e+01 3.6400e+01 8.7500e+01 8.4200e+01 8.5400e+01\n",
      " 9.6000e+01 8.0900e+01 8.1700e+01 4.2900e+01 8.2600e+01 1.0130e+02\n",
      " 9.7200e+01 4.1000e+01 8.3500e+01 3.7000e+01 9.1700e+01 9.1300e+01\n",
      " 9.9700e+01 4.0100e+01 1.0400e+02 9.6200e+01 4.0800e+01 8.2200e+01\n",
      " 9.4200e+01 3.8800e+01 8.6500e+01 3.6600e+01 8.1800e+01 3.5500e+01\n",
      "        nan 8.4600e+01 8.3900e+01 9.2600e+01 6.0150e+01 3.0100e+01\n",
      " 1.0060e+02 8.5800e+01 9.2800e+01 8.8600e+01 1.0070e+02 8.2400e+01\n",
      " 8.7700e+01 8.5300e+01 9.7900e+01 8.7100e+01 8.6700e+01 8.6600e+01\n",
      " 3.4300e+01 9.0000e+01 9.5200e+01 3.8000e+01 1.2220e+02 8.8300e+01\n",
      " 1.0320e+02 8.6100e+01 9.5000e+01 8.5600e+01 9.0400e+01 8.8400e+01\n",
      " 3.5400e+01 9.1100e+01 9.0200e+01 3.8700e+01 8.8000e+01 9.1000e+01\n",
      " 3.2400e+01 9.4400e+01 3.4000e+01 1.0290e+02 1.0170e+02 2.9300e+01\n",
      " 8.9800e+01 9.9000e+01 9.1500e+01 9.3800e+01 8.7800e+01 1.0360e+02\n",
      " 8.8800e+01 3.3700e+01 9.4100e+01 9.4500e+01 9.5100e+01 8.9400e+01\n",
      " 1.0120e+02 9.0900e+01 3.6500e+01 1.0510e+02 9.0700e+01 8.9600e+01\n",
      " 9.2500e+01 3.3600e+01 3.5900e+01 3.0900e+01 9.6900e+01 9.2200e+01\n",
      " 9.9300e+01 9.4700e+01 3.6200e+01 1.0000e+02 1.0230e+02 9.9200e+01\n",
      " 9.2100e+01 9.4900e+01 9.8300e+01 9.3200e+01 3.6000e+01 9.6300e+01\n",
      " 8.7400e+01 1.1050e+02 9.6500e+01 9.3300e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 57.1   60.3   56.8   56.5   43.5   61.    80.6   55.8   77.8   65.\n",
      "  57.6   47.    54.    48.6   62.5   81.5   64.4   45.2   52.5   57.2\n",
      "  57.    69.8   52.4   56.9   61.4   35.7   87.3   62.4   44.3   70.3\n",
      "  72.9   57.9   49.1     nan  77.9   77.5   58.2   71.8   60.6   64.3\n",
      "  62.2   46.4   51.9   54.7   55.6   56.3   49.3   51.3   52.9   58.4\n",
      "  57.7   83.6   51.2   51.5   50.3   61.8   50.8   80.3   55.5   48.4\n",
      "  63.1   61.3   44.    69.9   65.6   55.4   57.8   53.3   53.    82.5\n",
      "  40.7   60.9   42.6   35.6   49.9   64.9   46.2   67.1   55.1   59.2\n",
      "  95.4   52.1   54.1   49.8   58.7   50.2   59.4   53.1   52.8   68.9\n",
      "  50.6   45.9   79.9   59.6   66.1   65.3   56.    57.4   49.    62.8\n",
      "  56.1   59.8   53.8   65.9   65.2   63.3   85.1   47.8   54.9   40.3\n",
      "  52.    54.4   43.3   49.5   51.8   50.    67.4   63.4   68.2   63.2\n",
      "  53.2   56.4   48.1   66.6   65.7   80.1   54.6   57.3   63.7   60.7\n",
      "  60.1   81.3   55.3   52.2   70.2   55.    67.8   58.1   69.7   61.1\n",
      "  88.7   66.3   59.1   70.1   60.2   74.1   50.1   64.2   68.    66.4\n",
      "  76.8   55.7   42.3   63.6   48.7   47.2   68.7   66.    63.9   46.\n",
      "  39.6   49.7   70.5   34.4   44.7   47.4   62.    75.    59.3   77.6\n",
      "  62.3   39.1   76.1   44.2   47.9   34.9   59.7   46.1   83.4   51.6\n",
      "  49.2   72.8   74.6   53.6   70.7   71.6   44.4   58.    61.5   41.3\n",
      "  48.9   75.2   43.8   56.7   64.6   51.4   45.    52.3   73.3   39.\n",
      "  43.2   74.4   72.1   67.6   42.7   88.2   60.4   54.8   66.7   47.7\n",
      "  48.8   62.9   67.3   70.    48.3   58.8   62.1   63.8   49.4   46.6\n",
      "  37.6   52.6   55.2   38.1   53.4   47.5   75.4   56.6   67.9   65.8\n",
      "  69.5   62.6   73.9   64.7   69.6   70.9   60.8   41.8   83.    44.8\n",
      "  65.5   49.6   75.6   64.    66.8   48.2   91.6   67.2   68.5   50.7\n",
      "  80.    75.1   59.    77.3   60.5   82.8   69.2   64.8   61.2   84.4\n",
      "  47.6   71.7   71.1   52.7   70.4   44.5   68.3   41.4   62.7   78.8\n",
      "  72.5   61.9   75.9   72.3   72.2   58.9   83.3   81.    33.8   41.9\n",
      "  51.    67.    71.2   45.7   57.5   43.9   92.7   61.7   78.5  104.2\n",
      "  58.3   42.5   66.2   66.9   58.5  100.1   33.4   60.    58.6   44.1\n",
      "  93.6   61.6   72.    69.3   46.7   59.9   80.8   80.5   50.9   39.7\n",
      "  63.    76.3  103.8   44.6   40.5   64.5   64.1   77.1   36.9   55.9\n",
      "  68.8   79.2   68.6   54.5   74.7   65.4   48.    66.5   65.1   63.5\n",
      "  46.5   67.7   69.4   84.7   87.2   59.5   77.    87.9   75.5   41.1\n",
      "  73.2   46.8   78.    56.2   37.1   53.5   71.9   79.8   76.2   74.\n",
      "  83.2   53.7   38.4   69.    78.2   69.1   78.3   73.    53.9   71.5\n",
      "  73.7   71.    39.2   76.    85.7   48.5   86.2   42.    54.2   43.1\n",
      "  51.1   70.6   73.4   45.3   41.2   38.3   38.5   68.4   76.4   73.1\n",
      "  81.1   86.8   72.4   81.9   39.9   73.6   82.3   79.    42.4   41.5\n",
      "  45.4   40.4   54.3   78.1   46.3   50.4   78.7   91.4   73.5   41.6\n",
      "  92.3   45.8   90.6   51.7   74.9   74.3   76.6   42.2   81.4   37.3\n",
      "  42.1   90.3   81.2   45.6   97.5   67.5   46.9   91.9   77.4   74.5\n",
      "  85.5   68.1   84.9   76.5   85.9   86.9   38.6   90.5   89.2   75.8\n",
      "  72.6   70.8   44.9   74.2   40.6   47.1   79.4   73.8   77.7   37.2\n",
      "  74.8   71.4   82.    78.6   38.9   79.5   72.7   86.    36.1   89.7\n",
      "  83.8   87.    86.3   84.1   71.3   34.5   91.2   83.7   78.4   89.3\n",
      "  37.4   92.    43.6   76.7   39.3   85.    40.    80.4  103.1   43.\n",
      "  47.3   79.1   75.7   50.5   90.8   37.9   84.3   39.4   45.1   76.9\n",
      "  84.8   39.5   89.9   82.1   75.3   45.5   79.3   39.8   82.7   30.\n",
      "  87.6   94.3   85.2   92.4   43.4   78.9   40.9   86.4   37.8   92.9\n",
      "  84.    42.8   89.    37.5   79.6   41.7   35.    83.1   88.5  124.3\n",
      "  38.2   79.7   33.3   40.2   80.2   89.1   37.7   80.7   82.9   84.5\n",
      " 109.6   36.7   35.8   43.7   32.3   77.2   36.8   29.    34.8   81.6\n",
      "  36.4   87.5   84.2   85.4   96.    80.9   81.7   42.9   82.6  101.3\n",
      "  97.2   41.    83.5   37.    91.7   91.3   99.7   40.1  104.    96.2\n",
      "  40.8   82.2   94.2   38.8   86.5   36.6   81.8   35.5   84.6   83.9\n",
      "  92.6   60.15  30.1  100.6   85.8   92.8   88.6  100.7   82.4   87.7\n",
      "  85.3   97.9   87.1   86.7   86.6   34.3   90.    95.2   38.   122.2\n",
      "  88.3  103.2   86.1   95.    85.6   90.4   88.4   35.4   91.1   90.2\n",
      "  38.7   88.    91.    32.4   94.4   34.   102.9  101.7   29.3   89.8\n",
      "  99.    91.5   93.8   87.8  103.6   88.8   33.7   94.1   94.5   95.1\n",
      "  89.4  101.2   90.9   36.5  105.1   90.7   89.6   92.5   33.6   35.9\n",
      "  30.9   96.9   92.2   99.3   94.7   36.2  100.   102.3   99.2   92.1\n",
      "  94.9   98.3   93.2   36.    96.3   87.4  110.5   96.5   93.3 ]\n",
      "-----------------------------------------\n",
      "CT1_WEIGHT weight@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.9300e+01 6.7300e+01 6.4700e+01 5.9000e+01 5.0200e+01\n",
      " 5.8800e+01 5.7400e+01 5.8700e+01 6.2400e+01 7.6500e+01 7.3500e+01\n",
      " 5.7600e+01 7.2900e+01 5.3500e+01 7.1700e+01 6.4400e+01 6.2100e+01\n",
      " 5.8300e+01 7.9100e+01 7.3000e+01 6.0100e+01 7.6000e+01 4.9000e+01\n",
      " 6.8700e+01 6.5500e+01 4.7700e+01 6.1600e+01 6.2700e+01 5.5600e+01\n",
      " 5.5300e+01 5.2500e+01 4.7600e+01 4.8600e+01 7.3600e+01 5.3900e+01\n",
      " 6.3200e+01 7.8300e+01 5.8000e+01 4.8700e+01 5.7100e+01 4.7500e+01\n",
      " 1.0030e+02 5.4700e+01 6.0800e+01 6.1500e+01 5.3200e+01 4.5800e+01\n",
      " 6.4300e+01 8.1200e+01 6.0900e+01 6.4500e+01 5.7000e+01 8.3300e+01\n",
      " 5.3400e+01 5.9400e+01 5.6400e+01 5.9600e+01 6.1400e+01 6.9500e+01\n",
      " 5.7500e+01 5.1500e+01 6.5200e+01 7.8800e+01 5.9900e+01 6.3100e+01\n",
      " 5.6600e+01 6.7000e+01 5.3000e+01 6.4900e+01 5.4100e+01 9.2600e+01\n",
      " 6.7400e+01 4.4500e+01 7.7500e+01 7.0600e+01 6.1900e+01 7.0000e+01\n",
      " 7.4200e+01 7.7600e+01 5.0800e+01 5.6000e+01 6.1100e+01 6.9800e+01\n",
      " 7.5600e+01 7.1400e+01 5.6200e+01 6.4000e+01 6.7600e+01 7.1800e+01\n",
      " 8.1800e+01 5.0000e+01 5.8500e+01 4.8400e+01 5.0700e+01 6.4100e+01\n",
      " 7.6800e+01 6.8300e+01 6.0600e+01 5.3700e+01 6.2200e+01 6.6200e+01\n",
      " 6.0400e+01 8.1400e+01 6.7500e+01 6.5800e+01 5.7200e+01 6.6000e+01\n",
      " 5.3300e+01 4.0100e+01 4.4400e+01 7.0200e+01 5.2200e+01 4.7200e+01\n",
      " 5.6700e+01 7.2700e+01 4.7400e+01 5.4600e+01 6.9000e+01 4.8900e+01\n",
      " 4.7100e+01 5.2300e+01 6.6400e+01 4.7300e+01 7.2100e+01 5.2100e+01\n",
      " 5.2400e+01 6.6900e+01 7.3900e+01 5.9300e+01 5.2000e+01 5.5700e+01\n",
      " 7.1200e+01 6.8400e+01 6.5600e+01 7.7300e+01 7.6600e+01 6.8900e+01\n",
      " 6.9900e+01 6.4800e+01 4.6700e+01 8.6300e+01 7.3700e+01 6.6600e+01\n",
      " 7.0100e+01 7.5700e+01 6.9600e+01 5.3800e+01 5.4300e+01 7.8700e+01\n",
      " 5.2900e+01 6.9100e+01 5.8600e+01 5.6900e+01 7.2400e+01 4.6400e+01\n",
      " 6.1800e+01 6.5400e+01 5.5900e+01 6.2000e+01 6.7800e+01 6.7900e+01\n",
      " 6.6100e+01 6.0200e+01 4.3400e+01 5.8200e+01 5.2600e+01 7.7000e+01\n",
      " 6.2900e+01 7.1000e+01 5.4000e+01 8.0400e+01 6.3500e+01 7.1900e+01\n",
      " 5.1100e+01 7.4100e+01 5.0300e+01 6.2600e+01 8.4300e+01 6.5100e+01\n",
      " 7.6400e+01 5.1000e+01 5.7300e+01 7.4500e+01 7.0900e+01 7.2000e+01\n",
      " 5.5000e+01 8.5000e+01 6.8600e+01 7.1500e+01 6.0000e+01 6.7100e+01\n",
      " 5.6800e+01 5.6500e+01 5.4800e+01 7.2300e+01 4.8500e+01 6.0700e+01\n",
      " 7.2600e+01 4.8200e+01 6.0500e+01 7.2200e+01 8.7900e+01 5.5100e+01\n",
      " 5.9100e+01 6.6300e+01 4.7900e+01 6.2800e+01 7.2500e+01 8.3200e+01\n",
      " 5.9500e+01 7.5200e+01 7.5000e+01 6.5000e+01 8.3500e+01 4.7000e+01\n",
      " 5.5200e+01 6.8100e+01 7.9500e+01 5.9700e+01 6.3900e+01 5.3600e+01\n",
      " 5.5500e+01 5.1700e+01 7.7200e+01 5.8400e+01 4.5700e+01 5.4500e+01\n",
      " 7.4000e+01 6.1700e+01 8.1000e+01 6.8200e+01 6.1000e+01 7.2800e+01\n",
      " 7.3100e+01 6.0300e+01 6.8000e+01 7.1100e+01 6.9200e+01 7.3800e+01\n",
      " 6.7700e+01 5.8100e+01 5.7800e+01 4.6600e+01 7.8500e+01 5.0400e+01\n",
      " 8.6600e+01 5.2700e+01 6.6700e+01 4.6200e+01 5.7900e+01 6.3800e+01\n",
      " 7.6300e+01 6.5900e+01 8.4400e+01 7.0400e+01 7.8600e+01 6.8800e+01\n",
      " 7.1600e+01 5.8900e+01 7.1300e+01 6.3000e+01 4.6800e+01 5.4200e+01\n",
      " 5.6300e+01 5.1600e+01 4.9600e+01 9.1100e+01 5.1200e+01 6.2500e+01\n",
      " 8.0500e+01 4.9100e+01 6.5300e+01 4.0000e+01 7.8400e+01 5.1300e+01\n",
      " 5.1800e+01 7.6900e+01 4.9200e+01 4.9800e+01 6.3400e+01 7.4300e+01\n",
      " 6.3600e+01 5.6100e+01 6.7200e+01 5.9800e+01 8.3800e+01 6.2300e+01\n",
      " 6.3300e+01 4.8300e+01 8.3000e+01 5.9200e+01 5.0100e+01 7.4400e+01\n",
      " 7.0300e+01 8.8200e+01 9.1800e+01 8.9600e+01 7.9600e+01 4.4800e+01\n",
      " 6.8500e+01 7.3300e+01 6.1300e+01 8.5600e+01 7.3200e+01 8.4600e+01\n",
      " 8.3400e+01 8.5900e+01 6.9300e+01 7.7800e+01 8.6100e+01 7.4900e+01\n",
      " 8.5700e+01 8.0100e+01 9.0300e+01 4.5100e+01 7.4600e+01 4.4600e+01\n",
      " 7.7700e+01 8.2000e+01 8.0900e+01 6.4600e+01 7.9900e+01 5.2800e+01\n",
      " 4.8800e+01 7.3400e+01 5.0600e+01 7.6100e+01 9.0500e+01 7.5300e+01\n",
      " 7.5900e+01 8.0200e+01 6.1200e+01 5.1900e+01 6.4200e+01 4.6000e+01\n",
      " 4.9900e+01 4.2100e+01 6.6500e+01 4.6300e+01 7.9700e+01 9.3800e+01\n",
      " 8.3600e+01 4.3100e+01 5.0900e+01 4.9400e+01 7.0800e+01 7.5400e+01\n",
      " 5.7700e+01 9.1000e+01 7.0500e+01 4.3700e+01 4.1500e+01 4.8100e+01\n",
      " 8.9000e+01 4.6100e+01 5.4400e+01 6.9400e+01 4.8000e+01 6.5700e+01\n",
      " 8.3100e+01 8.7500e+01 5.4900e+01 6.6800e+01 7.4700e+01 6.3700e+01\n",
      " 8.1600e+01 8.9900e+01 5.5400e+01 5.1400e+01 6.9700e+01 8.1500e+01\n",
      " 8.2600e+01 7.4800e+01 8.0300e+01 8.5800e+01 8.8100e+01 8.5300e+01\n",
      " 7.9200e+01 8.0000e+01 9.3000e+01 4.4900e+01 8.4900e+01 7.8000e+01\n",
      " 9.3200e+01 4.9500e+01 7.8200e+01 5.5800e+01 4.6900e+01 5.3100e+01\n",
      " 9.9000e+01 4.3000e+01 3.4600e+01 4.5400e+01 4.7800e+01 8.0800e+01\n",
      " 1.0210e+02 8.5100e+01 8.2100e+01 7.8100e+01 8.2300e+01 8.5400e+01\n",
      " 8.1100e+01 7.5100e+01 4.0300e+01 8.6400e+01 7.9000e+01 9.0700e+01\n",
      " 4.2900e+01 4.5900e+01 8.8800e+01 7.5800e+01 7.9400e+01 4.0700e+01\n",
      " 4.0900e+01 8.2200e+01 8.2400e+01 5.0500e+01 4.3500e+01 4.5000e+01\n",
      " 8.0700e+01 4.3800e+01 7.0700e+01 9.8600e+01 8.7700e+01 4.5500e+01\n",
      " 3.7500e+01 8.4700e+01 4.3600e+01 7.5500e+01 4.2800e+01 8.1900e+01\n",
      " 1.0020e+02 4.9700e+01 9.3900e+01 9.4400e+01 9.3100e+01 9.1200e+01\n",
      " 7.8900e+01 8.4000e+01 7.7100e+01 4.2000e+01 4.1000e+01 4.4700e+01\n",
      " 8.7000e+01 7.6200e+01 9.8400e+01 4.2600e+01 8.6000e+01 7.9300e+01\n",
      " 9.4900e+01 8.7800e+01 8.2800e+01 4.5200e+01 9.5400e+01 4.4100e+01\n",
      " 4.6500e+01 8.1700e+01 8.0600e+01 8.8000e+01 8.2500e+01 8.4200e+01\n",
      " 4.4000e+01 3.6000e+01 8.6900e+01 4.2700e+01 4.1400e+01 8.2900e+01\n",
      " 8.4500e+01 4.2500e+01 4.1900e+01 9.5000e+01 7.7900e+01 1.0460e+02\n",
      " 3.8300e+01 8.8300e+01 3.8000e+01 4.4200e+01 9.1500e+01 4.3200e+01\n",
      " 7.7400e+01 3.9600e+01 9.9800e+01 8.9200e+01 4.2300e+01 4.0400e+01\n",
      " 9.0400e+01 4.5300e+01 7.9800e+01 9.2000e+01 4.5600e+01 8.4800e+01\n",
      " 9.0100e+01 8.6700e+01 8.3900e+01 8.1300e+01 3.5300e+01 9.0600e+01\n",
      " 4.1300e+01 4.1700e+01 3.9500e+01 8.9800e+01 7.6700e+01 8.8500e+01\n",
      " 4.1600e+01 1.0000e+02 9.5500e+01 8.7600e+01 8.5200e+01 1.0420e+02\n",
      " 8.7300e+01 9.9999e+04 9.1400e+01 9.7700e+01 3.9900e+01 3.8900e+01\n",
      " 9.3500e+01 1.1380e+02 8.7200e+01 4.3900e+01 3.8600e+01 4.2200e+01\n",
      " 9.7500e+01 3.8700e+01 8.2700e+01 3.6300e+01 1.0410e+02 9.6900e+01\n",
      " 3.8800e+01 8.8700e+01 9.0200e+01 9.9300e+01 9.7000e+01 9.0800e+01\n",
      " 3.8100e+01 9.9100e+01 8.4100e+01 9.9500e+01 3.9700e+01 9.4000e+01\n",
      " 8.6500e+01 8.8600e+01 9.0900e+01 9.4200e+01 1.1530e+02 9.5800e+01\n",
      " 1.3070e+02 8.8400e+01 4.3300e+01 9.0000e+01 8.7100e+01 9.5200e+01\n",
      " 3.9000e+01 9.5600e+01 4.0200e+01 4.2400e+01 9.7900e+01 8.5500e+01\n",
      " 9.1900e+01 9.4500e+01 8.9700e+01 8.6200e+01 3.7800e+01 9.2700e+01\n",
      " 8.7400e+01 8.6800e+01 9.3600e+01 1.0350e+02 4.4300e+01 9.4600e+01\n",
      " 3.5400e+01 9.2400e+01 9.7200e+01 8.9500e+01 9.2800e+01 1.0270e+02\n",
      " 4.1100e+01 9.3400e+01 9.4700e+01 9.5700e+01 1.0490e+02 1.1350e+02\n",
      " 4.1200e+01 9.3300e+01 3.7600e+01 9.6800e+01 3.7000e+01 3.6900e+01\n",
      " 8.8900e+01 9.8000e+01 1.1150e+02 4.0500e+01 9.2200e+01 1.0900e+02\n",
      " 3.9300e+01 3.9800e+01 8.9400e+01 9.6100e+01 3.5000e+01 4.0600e+01\n",
      " 1.0090e+02 9.8500e+01 8.9100e+01 4.1800e+01 9.1700e+01 9.4300e+01\n",
      " 9.8900e+01 9.2100e+01 3.6100e+01 1.1870e+02 1.0170e+02 1.1550e+02\n",
      " 9.2300e+01 9.3700e+01 9.8700e+01 8.9300e+01 9.2500e+01 9.7300e+01\n",
      " 1.0180e+02 4.0800e+01 8.3700e+01 3.1900e+01 3.2300e+01 1.1600e+02\n",
      " 1.0700e+02 1.0200e+02 1.1440e+02 9.9600e+01 3.7100e+01 3.6200e+01\n",
      " 3.9400e+01 9.7600e+01 1.1120e+02 1.0120e+02 1.0560e+02 9.2900e+01\n",
      " 1.2480e+02 1.0340e+02 1.0600e+02 9.1600e+01 1.0740e+02 9.6000e+01\n",
      " 1.0450e+02 3.3000e+01 9.9200e+01 1.0100e+02 9.5900e+01 3.8200e+01\n",
      " 3.9200e+01 2.7700e+01 9.6500e+01 1.1800e+02 1.0760e+02 3.5500e+01\n",
      " 3.4100e+01 3.5200e+01 1.0580e+02 9.5100e+01 9.5300e+01 9.4800e+01\n",
      " 9.9700e+01 1.0540e+02 1.0590e+02 9.7100e+01 1.0010e+02 1.0330e+02\n",
      " 1.0150e+02 9.6700e+01 3.7300e+01 3.5600e+01 9.6600e+01 3.4000e+01\n",
      " 9.7800e+01 1.0060e+02 1.0610e+02 3.7700e+01 1.0240e+02 3.8500e+01\n",
      " 1.0190e+02 3.8400e+01 9.9400e+01 3.3400e+01 1.2180e+02 9.8200e+01\n",
      " 1.0300e+02 9.6200e+01 9.6400e+01 9.1300e+01 9.4100e+01 3.4200e+01\n",
      " 9.7400e+01 3.9100e+01 1.0500e+02 1.0360e+02 1.0400e+02 1.0230e+02\n",
      " 1.1820e+02 1.0550e+02 1.1170e+02 1.0260e+02 1.0040e+02 5.4390e+01\n",
      " 1.0380e+02 3.4900e+01 1.0310e+02 1.0710e+02 9.8300e+01 1.1390e+02\n",
      " 3.7400e+01 1.0110e+02 9.8800e+01 1.0070e+02 3.5700e+01 1.0160e+02\n",
      " 1.1280e+02 1.0530e+02 3.6500e+01 1.0140e+02 9.6300e+01 1.0250e+02\n",
      " 1.1500e+02 1.0640e+02 2.9600e+01 6.1880e+01 1.0320e+02 1.0280e+02\n",
      " 3.4300e+01 1.0510e+02 3.2400e+01 3.6600e+01 1.0370e+02 1.0810e+02\n",
      " 3.7200e+01 1.1860e+02 1.0440e+02 1.0690e+02 9.9900e+01 1.0870e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [   nan  49.3   67.3   64.7   59.    50.2   58.8   57.4   58.7   62.4\n",
      "  76.5   73.5   57.6   72.9   53.5   71.7   64.4   62.1   58.3   79.1\n",
      "  73.    60.1   76.    49.    68.7   65.5   47.7   61.6   62.7   55.6\n",
      "  55.3   52.5   47.6   48.6   73.6   53.9   63.2   78.3   58.    48.7\n",
      "  57.1   47.5  100.3   54.7   60.8   61.5   53.2   45.8   64.3   81.2\n",
      "  60.9   64.5   57.    83.3   53.4   59.4   56.4   59.6   61.4   69.5\n",
      "  57.5   51.5   65.2   78.8   59.9   63.1   56.6   67.    53.    64.9\n",
      "  54.1   92.6   67.4   44.5   77.5   70.6   61.9   70.    74.2   77.6\n",
      "  50.8   56.    61.1   69.8   75.6   71.4   56.2   64.    67.6   71.8\n",
      "  81.8   50.    58.5   48.4   50.7   64.1   76.8   68.3   60.6   53.7\n",
      "  62.2   66.2   60.4   81.4   67.5   65.8   57.2   66.    53.3   40.1\n",
      "  44.4   70.2   52.2   47.2   56.7   72.7   47.4   54.6   69.    48.9\n",
      "  47.1   52.3   66.4   47.3   72.1   52.1   52.4   66.9   73.9   59.3\n",
      "  52.    55.7   71.2   68.4   65.6   77.3   76.6   68.9   69.9   64.8\n",
      "  46.7   86.3   73.7   66.6   70.1   75.7   69.6   53.8   54.3   78.7\n",
      "  52.9   69.1   58.6   56.9   72.4   46.4   61.8   65.4   55.9   62.\n",
      "  67.8   67.9   66.1   60.2   43.4   58.2   52.6   77.    62.9   71.\n",
      "  54.    80.4   63.5   71.9   51.1   74.1   50.3   62.6   84.3   65.1\n",
      "  76.4   51.    57.3   74.5   70.9   72.    55.    85.    68.6   71.5\n",
      "  60.    67.1   56.8   56.5   54.8   72.3   48.5   60.7   72.6   48.2\n",
      "  60.5   72.2   87.9   55.1   59.1   66.3   47.9   62.8   72.5   83.2\n",
      "  59.5   75.2   75.    65.    83.5   47.    55.2   68.1   79.5   59.7\n",
      "  63.9   53.6   55.5   51.7   77.2   58.4   45.7   54.5   74.    61.7\n",
      "  81.    68.2   61.    72.8   73.1   60.3   68.    71.1   69.2   73.8\n",
      "  67.7   58.1   57.8   46.6   78.5   50.4   86.6   52.7   66.7   46.2\n",
      "  57.9   63.8   76.3   65.9   84.4   70.4   78.6   68.8   71.6   58.9\n",
      "  71.3   63.    46.8   54.2   56.3   51.6   49.6   91.1   51.2   62.5\n",
      "  80.5   49.1   65.3   40.    78.4   51.3   51.8   76.9   49.2   49.8\n",
      "  63.4   74.3   63.6   56.1   67.2   59.8   83.8   62.3   63.3   48.3\n",
      "  83.    59.2   50.1   74.4   70.3   88.2   91.8   89.6   79.6   44.8\n",
      "  68.5   73.3   61.3   85.6   73.2   84.6   83.4   85.9   69.3   77.8\n",
      "  86.1   74.9   85.7   80.1   90.3   45.1   74.6   44.6   77.7   82.\n",
      "  80.9   64.6   79.9   52.8   48.8   73.4   50.6   76.1   90.5   75.3\n",
      "  75.9   80.2   61.2   51.9   64.2   46.    49.9   42.1   66.5   46.3\n",
      "  79.7   93.8   83.6   43.1   50.9   49.4   70.8   75.4   57.7   91.\n",
      "  70.5   43.7   41.5   48.1   89.    46.1   54.4   69.4   48.    65.7\n",
      "  83.1   87.5   54.9   66.8   74.7   63.7   81.6   89.9   55.4   51.4\n",
      "  69.7   81.5   82.6   74.8   80.3   85.8   88.1   85.3   79.2   80.\n",
      "  93.    44.9   84.9   78.    93.2   49.5   78.2   55.8   46.9   53.1\n",
      "  99.    43.    34.6   45.4   47.8   80.8  102.1   85.1   82.1   78.1\n",
      "  82.3   85.4   81.1   75.1   40.3   86.4   79.    90.7   42.9   45.9\n",
      "  88.8   75.8   79.4   40.7   40.9   82.2   82.4   50.5   43.5   45.\n",
      "  80.7   43.8   70.7   98.6   87.7   45.5   37.5   84.7   43.6   75.5\n",
      "  42.8   81.9  100.2   49.7   93.9   94.4   93.1   91.2   78.9   84.\n",
      "  77.1   42.    41.    44.7   87.    76.2   98.4   42.6   86.    79.3\n",
      "  94.9   87.8   82.8   45.2   95.4   44.1   46.5   81.7   80.6   88.\n",
      "  82.5   84.2   44.    36.    86.9   42.7   41.4   82.9   84.5   42.5\n",
      "  41.9   95.    77.9  104.6   38.3   88.3   38.    44.2   91.5   43.2\n",
      "  77.4   39.6   99.8   89.2   42.3   40.4   90.4   45.3   79.8   92.\n",
      "  45.6   84.8   90.1   86.7   83.9   81.3   35.3   90.6   41.3   41.7\n",
      "  39.5   89.8   76.7   88.5   41.6  100.    95.5   87.6   85.2  104.2\n",
      "  87.3   91.4   97.7   39.9   38.9   93.5  113.8   87.2   43.9   38.6\n",
      "  42.2   97.5   38.7   82.7   36.3  104.1   96.9   38.8   88.7   90.2\n",
      "  99.3   97.    90.8   38.1   99.1   84.1   99.5   39.7   94.    86.5\n",
      "  88.6   90.9   94.2  115.3   95.8  130.7   88.4   43.3   90.    87.1\n",
      "  95.2   39.    95.6   40.2   42.4   97.9   85.5   91.9   94.5   89.7\n",
      "  86.2   37.8   92.7   87.4   86.8   93.6  103.5   44.3   94.6   35.4\n",
      "  92.4   97.2   89.5   92.8  102.7   41.1   93.4   94.7   95.7  104.9\n",
      " 113.5   41.2   93.3   37.6   96.8   37.    36.9   88.9   98.   111.5\n",
      "  40.5   92.2  109.    39.3   39.8   89.4   96.1   35.    40.6  100.9\n",
      "  98.5   89.1   41.8   91.7   94.3   98.9   92.1   36.1  118.7  101.7\n",
      " 115.5   92.3   93.7   98.7   89.3   92.5   97.3  101.8   40.8   83.7\n",
      "  31.9   32.3  116.   107.   102.   114.4   99.6   37.1   36.2   39.4\n",
      "  97.6  111.2  101.2  105.6   92.9  124.8  103.4  106.    91.6  107.4\n",
      "  96.   104.5   33.    99.2  101.    95.9   38.2   39.2   27.7   96.5\n",
      " 118.   107.6   35.5   34.1   35.2  105.8   95.1   95.3   94.8   99.7\n",
      " 105.4  105.9   97.1  100.1  103.3  101.5   96.7   37.3   35.6   96.6\n",
      "  34.    97.8  100.6  106.1   37.7  102.4   38.5  101.9   38.4   99.4\n",
      "  33.4  121.8   98.2  103.    96.2   96.4   91.3   94.1   34.2   97.4\n",
      "  39.1  105.   103.6  104.   102.3  118.2  105.5  111.7  102.6  100.4\n",
      "  54.39 103.8   34.9  103.1  107.1   98.3  113.9   37.4  101.1   98.8\n",
      " 100.7   35.7  101.6  112.8  105.3   36.5  101.4   96.3  102.5  115.\n",
      " 106.4   29.6   61.88 103.2  102.8   34.3  105.1   32.4   36.6  103.7\n",
      " 108.1   37.2  118.6  104.4  106.9   99.9  108.7 ]\n",
      "-----------------------------------------\n",
      "AS1_WEIGHT weight@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.2500e+01 4.6000e+01 7.3900e+01 7.4000e+01 5.1000e+01\n",
      " 5.9000e+01 5.4600e+01 4.8000e+01 5.0000e+01 4.6200e+01 5.5000e+01\n",
      " 5.9500e+01 5.8600e+01 5.1800e+01 4.4500e+01 6.4200e+01 7.6500e+01\n",
      " 4.5100e+01 7.7000e+01 5.5500e+01 6.4700e+01 6.1500e+01 6.9000e+01\n",
      " 7.5000e+01 6.8000e+01 6.2000e+01 8.6900e+01 6.8300e+01 7.1000e+01\n",
      " 5.4800e+01 6.0000e+01 6.9500e+01 6.3000e+01 5.7000e+01 5.8400e+01\n",
      " 6.5000e+01 6.0600e+01 5.9800e+01 5.4400e+01 5.3400e+01 4.9100e+01\n",
      " 5.8000e+01 9.0000e+01 7.3000e+01 7.7500e+01 6.3500e+01 6.3300e+01\n",
      " 6.5500e+01 6.0500e+01 6.0800e+01 5.6600e+01 7.4200e+01 7.2000e+01\n",
      " 7.3200e+01 5.7500e+01 5.2900e+01 6.5300e+01 6.4300e+01 5.6700e+01\n",
      " 5.5400e+01 5.7600e+01 6.7000e+01 7.0500e+01 6.8400e+01 7.2500e+01\n",
      " 6.1000e+01 5.3000e+01 7.9000e+01 6.6500e+01 5.6000e+01 6.6000e+01\n",
      " 5.5100e+01 5.4000e+01 5.3800e+01 4.3000e+01 5.3500e+01 5.8700e+01\n",
      " 6.1800e+01 4.2400e+01 5.2100e+01 7.2800e+01 6.8500e+01 6.6800e+01\n",
      " 5.2000e+01 6.9900e+01 7.8000e+01 7.6600e+01 6.6900e+01 7.9500e+01\n",
      " 7.6000e+01 5.8800e+01 7.1600e+01 6.5200e+01 4.4000e+01 6.6300e+01\n",
      " 4.5000e+01 4.1500e+01 6.4000e+01 8.0000e+01 6.1700e+01 5.4500e+01\n",
      " 5.1500e+01 8.1000e+01 4.8900e+01 7.4500e+01 6.6400e+01 5.1600e+01\n",
      " 7.0700e+01 5.0700e+01 8.9900e+01 6.2800e+01 5.3700e+01 4.5300e+01\n",
      " 7.6300e+01 6.0100e+01 7.0000e+01 5.2500e+01 5.1700e+01 7.1400e+01\n",
      " 6.3700e+01 6.2100e+01 3.9900e+01 8.4000e+01 6.2400e+01 8.5000e+01\n",
      " 6.0400e+01 5.6500e+01 5.5900e+01 4.9500e+01 7.5500e+01 5.4900e+01\n",
      " 8.1500e+01 6.3600e+01 6.9700e+01 4.8300e+01 5.0500e+01 8.2000e+01\n",
      " 5.3300e+01 4.9900e+01 5.4300e+01 5.8200e+01 4.5500e+01 5.6300e+01\n",
      " 5.8500e+01 5.7700e+01 7.0800e+01 6.4400e+01 5.2300e+01 5.3100e+01\n",
      " 5.7300e+01 4.9000e+01 5.5600e+01 6.4500e+01 4.5200e+01 5.7800e+01\n",
      " 6.8100e+01 7.9200e+01 6.7500e+01 4.7900e+01 6.7600e+01 6.5600e+01\n",
      " 5.9400e+01 9.9000e+01 7.2300e+01 4.7000e+01 7.3100e+01 5.0800e+01\n",
      " 6.7400e+01 5.1200e+01 6.2900e+01 5.1100e+01 6.1300e+01 6.1600e+01\n",
      " 6.4100e+01 7.1300e+01 7.1200e+01 6.1900e+01 8.5300e+01 4.7600e+01\n",
      " 4.7100e+01 5.0400e+01 6.0900e+01 6.8700e+01 8.2100e+01 7.3500e+01\n",
      " 4.6600e+01 7.3700e+01 9.1300e+01 4.0800e+01 7.1100e+01 6.0300e+01\n",
      " 5.6800e+01 6.2200e+01 7.2100e+01 8.4500e+01 6.8900e+01 6.5900e+01\n",
      " 6.5800e+01 7.7700e+01 9.3900e+01 6.9800e+01 7.1500e+01 6.3400e+01\n",
      " 7.7800e+01 8.9000e+01 4.9200e+01 4.6800e+01 5.9700e+01 6.3200e+01\n",
      " 6.0700e+01 6.5400e+01 8.8000e+01 6.8200e+01 6.0200e+01 7.7300e+01\n",
      " 3.2100e+01 8.3000e+01 5.9100e+01 7.4700e+01 6.6600e+01 7.9600e+01\n",
      " 4.7800e+01 9.9999e+04 5.3600e+01 5.6200e+01 4.7400e+01 6.7200e+01\n",
      " 7.0600e+01 7.7100e+01 9.5000e+01 4.4400e+01 4.5800e+01 5.6900e+01\n",
      " 7.2200e+01 5.8300e+01 6.7900e+01 4.9300e+01 4.4300e+01 5.1900e+01\n",
      " 6.8800e+01 6.7800e+01 4.3500e+01 5.5800e+01 5.9600e+01 7.7900e+01\n",
      " 8.6000e+01 4.4200e+01 7.2600e+01 7.7200e+01 5.9300e+01 4.2900e+01\n",
      " 9.4000e+01 4.8500e+01 6.4900e+01 7.5600e+01 5.2400e+01 9.7000e+01\n",
      " 4.7500e+01 6.2600e+01 6.9400e+01 7.3600e+01 8.1400e+01 7.7600e+01\n",
      " 5.1300e+01 4.7200e+01 1.0300e+02 4.6100e+01 9.0500e+01 5.4200e+01\n",
      " 6.9200e+01 7.5700e+01 5.8900e+01 5.0100e+01 6.8600e+01 7.5400e+01\n",
      " 5.4700e+01 4.8100e+01 9.3000e+01 8.3500e+01 4.9600e+01 4.4900e+01\n",
      " 4.3800e+01 8.5500e+01 8.2500e+01 5.7200e+01 5.6400e+01 6.2700e+01\n",
      " 4.3400e+01 5.0200e+01 7.6800e+01 6.3100e+01 8.3600e+01 3.9200e+01\n",
      " 5.5700e+01 5.5300e+01 7.8200e+01 3.6900e+01 4.7700e+01 7.3800e+01\n",
      " 6.1100e+01 8.1300e+01 6.7700e+01 5.7900e+01 9.2000e+01 6.6100e+01\n",
      " 6.1400e+01 8.7000e+01 5.2700e+01 4.9800e+01 4.2000e+01 4.1100e+01\n",
      " 8.3800e+01 7.0300e+01 3.5000e+01 7.5200e+01 5.5200e+01 6.4600e+01\n",
      " 6.4800e+01 5.3900e+01 5.1400e+01 5.8100e+01 7.2900e+01 4.9400e+01\n",
      " 6.9300e+01 3.8500e+01 3.8300e+01 7.6100e+01 9.4500e+01 5.4100e+01\n",
      " 8.2600e+01 8.6100e+01 8.0500e+01 7.4100e+01 6.7100e+01 7.7400e+01\n",
      " 4.8600e+01 7.6200e+01 4.6900e+01 7.0200e+01 7.9700e+01 4.6700e+01\n",
      " 8.3900e+01 7.8600e+01 7.8800e+01 7.2400e+01 3.9700e+01 5.7400e+01\n",
      " 7.1700e+01 4.0000e+01 7.1900e+01 7.8500e+01 6.9600e+01 7.4600e+01\n",
      " 4.2200e+01 4.3600e+01 5.6100e+01 6.5100e+01 4.8400e+01 7.0900e+01\n",
      " 6.7300e+01 4.3300e+01 8.8700e+01 5.2600e+01 6.3800e+01 4.8800e+01\n",
      " 7.8400e+01 6.9100e+01 4.1000e+01 8.2200e+01 6.3900e+01 5.3200e+01\n",
      " 8.3700e+01 4.5900e+01 7.6400e+01 3.6000e+01 8.3100e+01 7.9100e+01\n",
      " 4.0200e+01 4.4700e+01 9.6100e+01 4.6500e+01 7.0400e+01 5.9900e+01\n",
      " 7.1800e+01 5.7100e+01 6.6200e+01 7.0100e+01 9.5300e+01 4.0400e+01\n",
      " 9.6000e+01 7.5900e+01 6.1200e+01 7.9300e+01 7.3300e+01 7.5300e+01\n",
      " 7.4400e+01 9.2500e+01 9.5500e+01 9.1000e+01 3.9000e+01 4.1700e+01\n",
      " 7.5800e+01 9.0100e+01 7.6700e+01 5.2800e+01 7.3400e+01 8.0900e+01\n",
      " 8.7100e+01 6.6700e+01 9.1500e+01 8.2700e+01 5.0600e+01 4.0500e+01\n",
      " 5.2200e+01 5.9200e+01 8.5800e+01 7.4900e+01 5.0900e+01 6.5700e+01\n",
      " 3.7000e+01 4.9700e+01 5.0300e+01 7.4300e+01 3.4700e+01 8.1900e+01\n",
      " 8.0400e+01 8.4900e+01 3.7800e+01 8.3200e+01 3.8400e+01 8.2800e+01\n",
      " 8.0700e+01 8.2900e+01 4.2100e+01 4.5400e+01 7.2700e+01 9.5100e+01\n",
      " 8.6500e+01 9.7500e+01 9.0800e+01 3.7700e+01 4.6300e+01 9.0400e+01\n",
      " 4.2700e+01 8.8400e+01 7.8100e+01 9.6700e+01 8.7500e+01 7.5100e+01\n",
      " 4.8200e+01 9.8000e+01 3.9500e+01 1.0500e+02 4.5700e+01 8.1600e+01\n",
      " 8.0800e+01 1.0240e+02 8.1700e+01 8.5400e+01 8.7300e+01 3.9600e+01\n",
      " 7.4800e+01 8.5100e+01 8.8300e+01 3.3900e+01 6.2300e+01 8.0100e+01\n",
      " 8.1100e+01 8.4400e+01 8.5700e+01 3.8000e+01 8.3400e+01 8.1200e+01\n",
      " 7.9800e+01 4.8700e+01 4.6400e+01 8.4100e+01 7.6900e+01 1.0200e+02\n",
      " 4.1400e+01 4.2600e+01 4.4800e+01 3.7200e+01 9.3500e+01 8.9600e+01\n",
      " 7.8300e+01 9.9500e+01 7.9900e+01 4.3700e+01 8.0200e+01 4.0700e+01\n",
      " 4.1200e+01 3.9800e+01 8.2400e+01 8.0300e+01 8.8500e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  62.5  46.   73.9  74.   51.   59.   54.6  48.   50.   46.2  55.\n",
      "  59.5  58.6  51.8  44.5  64.2  76.5  45.1  77.   55.5  64.7  61.5  69.\n",
      "  75.   68.   62.   86.9  68.3  71.   54.8  60.   69.5  63.   57.   58.4\n",
      "  65.   60.6  59.8  54.4  53.4  49.1  58.   90.   73.   77.5  63.5  63.3\n",
      "  65.5  60.5  60.8  56.6  74.2  72.   73.2  57.5  52.9  65.3  64.3  56.7\n",
      "  55.4  57.6  67.   70.5  68.4  72.5  61.   53.   79.   66.5  56.   66.\n",
      "  55.1  54.   53.8  43.   53.5  58.7  61.8  42.4  52.1  72.8  68.5  66.8\n",
      "  52.   69.9  78.   76.6  66.9  79.5  76.   58.8  71.6  65.2  44.   66.3\n",
      "  45.   41.5  64.   80.   61.7  54.5  51.5  81.   48.9  74.5  66.4  51.6\n",
      "  70.7  50.7  89.9  62.8  53.7  45.3  76.3  60.1  70.   52.5  51.7  71.4\n",
      "  63.7  62.1  39.9  84.   62.4  85.   60.4  56.5  55.9  49.5  75.5  54.9\n",
      "  81.5  63.6  69.7  48.3  50.5  82.   53.3  49.9  54.3  58.2  45.5  56.3\n",
      "  58.5  57.7  70.8  64.4  52.3  53.1  57.3  49.   55.6  64.5  45.2  57.8\n",
      "  68.1  79.2  67.5  47.9  67.6  65.6  59.4  99.   72.3  47.   73.1  50.8\n",
      "  67.4  51.2  62.9  51.1  61.3  61.6  64.1  71.3  71.2  61.9  85.3  47.6\n",
      "  47.1  50.4  60.9  68.7  82.1  73.5  46.6  73.7  91.3  40.8  71.1  60.3\n",
      "  56.8  62.2  72.1  84.5  68.9  65.9  65.8  77.7  93.9  69.8  71.5  63.4\n",
      "  77.8  89.   49.2  46.8  59.7  63.2  60.7  65.4  88.   68.2  60.2  77.3\n",
      "  32.1  83.   59.1  74.7  66.6  79.6  47.8  53.6  56.2  47.4  67.2  70.6\n",
      "  77.1  95.   44.4  45.8  56.9  72.2  58.3  67.9  49.3  44.3  51.9  68.8\n",
      "  67.8  43.5  55.8  59.6  77.9  86.   44.2  72.6  77.2  59.3  42.9  94.\n",
      "  48.5  64.9  75.6  52.4  97.   47.5  62.6  69.4  73.6  81.4  77.6  51.3\n",
      "  47.2 103.   46.1  90.5  54.2  69.2  75.7  58.9  50.1  68.6  75.4  54.7\n",
      "  48.1  93.   83.5  49.6  44.9  43.8  85.5  82.5  57.2  56.4  62.7  43.4\n",
      "  50.2  76.8  63.1  83.6  39.2  55.7  55.3  78.2  36.9  47.7  73.8  61.1\n",
      "  81.3  67.7  57.9  92.   66.1  61.4  87.   52.7  49.8  42.   41.1  83.8\n",
      "  70.3  35.   75.2  55.2  64.6  64.8  53.9  51.4  58.1  72.9  49.4  69.3\n",
      "  38.5  38.3  76.1  94.5  54.1  82.6  86.1  80.5  74.1  67.1  77.4  48.6\n",
      "  76.2  46.9  70.2  79.7  46.7  83.9  78.6  78.8  72.4  39.7  57.4  71.7\n",
      "  40.   71.9  78.5  69.6  74.6  42.2  43.6  56.1  65.1  48.4  70.9  67.3\n",
      "  43.3  88.7  52.6  63.8  48.8  78.4  69.1  41.   82.2  63.9  53.2  83.7\n",
      "  45.9  76.4  36.   83.1  79.1  40.2  44.7  96.1  46.5  70.4  59.9  71.8\n",
      "  57.1  66.2  70.1  95.3  40.4  96.   75.9  61.2  79.3  73.3  75.3  74.4\n",
      "  92.5  95.5  91.   39.   41.7  75.8  90.1  76.7  52.8  73.4  80.9  87.1\n",
      "  66.7  91.5  82.7  50.6  40.5  52.2  59.2  85.8  74.9  50.9  65.7  37.\n",
      "  49.7  50.3  74.3  34.7  81.9  80.4  84.9  37.8  83.2  38.4  82.8  80.7\n",
      "  82.9  42.1  45.4  72.7  95.1  86.5  97.5  90.8  37.7  46.3  90.4  42.7\n",
      "  88.4  78.1  96.7  87.5  75.1  48.2  98.   39.5 105.   45.7  81.6  80.8\n",
      " 102.4  81.7  85.4  87.3  39.6  74.8  85.1  88.3  33.9  62.3  80.1  81.1\n",
      "  84.4  85.7  38.   83.4  81.2  79.8  48.7  46.4  84.1  76.9 102.   41.4\n",
      "  42.6  44.8  37.2  93.5  89.6  78.3  99.5  79.9  43.7  80.2  40.7  41.2\n",
      "  39.8  82.4  80.3  88.5]\n",
      "-----------------------------------------\n",
      "NC1_SBP systolic_blood_pressure@(x!=66666)&(x!=77777)&(x!=99999)@x [9.0000e+01 1.2600e+02 1.0500e+02 1.5400e+02 1.6200e+02 1.4400e+02\n",
      " 1.3100e+02 1.1300e+02 1.0900e+02 1.1500e+02 1.4200e+02 1.2300e+02\n",
      " 1.6300e+02 1.3300e+02 1.3800e+02 1.2400e+02 1.2500e+02 1.1200e+02\n",
      " 1.2000e+02 1.1100e+02 1.4000e+02 1.6700e+02 1.2800e+02 1.4600e+02\n",
      " 1.5000e+02 1.2900e+02 1.0100e+02 1.6500e+02 1.7300e+02 1.0200e+02\n",
      " 1.3900e+02 1.1900e+02 1.1600e+02 1.3400e+02 1.5900e+02 1.4800e+02\n",
      " 1.1800e+02 1.5500e+02 1.0600e+02 1.0000e+02 1.4500e+02 1.2200e+02\n",
      " 1.4300e+02 9.1000e+01 1.5200e+02 1.5600e+02 1.2700e+02 1.5800e+02\n",
      " 1.6100e+02 1.5700e+02 1.3000e+02 9.9000e+01 1.3200e+02 1.5300e+02\n",
      " 1.3500e+02 8.9000e+01 1.1700e+02 1.3700e+02 1.0300e+02 1.1000e+02\n",
      " 1.0800e+02 1.4700e+02 1.3600e+02 1.2100e+02 1.0400e+02 1.8500e+02\n",
      " 1.5100e+02 1.4100e+02 8.4000e+01 1.6000e+02 9.7000e+01 1.8200e+02\n",
      " 1.8000e+02 1.0700e+02 9.9999e+04 9.5000e+01 1.6400e+02 1.7100e+02\n",
      " 9.8000e+01 1.6800e+02 1.1400e+02 1.4900e+02 9.2000e+01 1.7000e+02\n",
      " 1.7900e+02 1.8100e+02 9.4000e+01 9.6000e+01 8.7000e+01 1.6900e+02\n",
      " 1.9200e+02 1.7600e+02 1.6600e+02 1.8600e+02 1.7200e+02 1.8900e+02\n",
      " 1.9500e+02 1.8700e+02 2.0200e+02 9.3000e+01 8.8000e+01 1.9400e+02\n",
      " 1.7800e+02 1.8300e+02 8.2000e+01 2.1000e+02 8.3000e+01 2.0900e+02\n",
      " 2.0500e+02 1.7500e+02 1.9100e+02 8.0000e+01 2.1200e+02 2.0000e+02\n",
      " 1.7700e+02 1.7400e+02 1.9000e+02 2.0100e+02 1.8800e+02 1.8400e+02\n",
      " 2.0600e+02 2.2600e+02 1.9600e+02 2.2000e+02 7.8000e+01        nan\n",
      " 8.6000e+01 8.5000e+01 7.9000e+01 8.1000e+01 7.4000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 90. 126. 105. 154. 162. 144. 131. 113. 109. 115. 142. 123. 163. 133.\n",
      " 138. 124. 125. 112. 120. 111. 140. 167. 128. 146. 150. 129. 101. 165.\n",
      " 173. 102. 139. 119. 116. 134. 159. 148. 118. 155. 106. 100. 145. 122.\n",
      " 143.  91. 152. 156. 127. 158. 161. 157. 130.  99. 132. 153. 135.  89.\n",
      " 117. 137. 103. 110. 108. 147. 136. 121. 104. 185. 151. 141.  84. 160.\n",
      "  97. 182. 180. 107.  nan  95. 164. 171.  98. 168. 114. 149.  92. 170.\n",
      " 179. 181.  94.  96.  87. 169. 192. 176. 166. 186. 172. 189. 195. 187.\n",
      " 202.  93.  88. 194. 178. 183.  82. 210.  83. 209. 205. 175. 191.  80.\n",
      " 212. 200. 177. 174. 190. 201. 188. 184. 206. 226. 196. 220.  78.  86.\n",
      "  85.  79.  81.  74.]\n",
      "-----------------------------------------\n",
      "CT1_SBP systolic_blood_pressure@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.1000e+02 1.3600e+02 1.2100e+02 1.0900e+02 1.1200e+02\n",
      " 1.4750e+02 1.1700e+02 1.1900e+02 1.4300e+02 1.3500e+02 1.2000e+02\n",
      " 1.2750e+02 1.2250e+02 1.3450e+02 1.3100e+02 1.2600e+02 1.3000e+02\n",
      " 1.7700e+02 9.6000e+01 1.1300e+02 1.1150e+02 1.0000e+02 1.0850e+02\n",
      " 1.4100e+02 9.2000e+01 1.4000e+02 1.0450e+02 1.2700e+02 1.4500e+02\n",
      " 1.1600e+02 1.3300e+02 1.2800e+02 1.1100e+02 1.0800e+02 9.0000e+01\n",
      " 1.0400e+02 1.0500e+02 1.1500e+02 1.0050e+02 1.3200e+02 1.2300e+02\n",
      " 1.1800e+02 1.2400e+02 1.3400e+02 1.3700e+02 1.5100e+02 9.3000e+01\n",
      " 1.4900e+02 1.2850e+02 1.0350e+02 1.3800e+02 1.3150e+02 1.2500e+02\n",
      " 1.2350e+02 1.3250e+02 9.4000e+01 1.5650e+02 1.1400e+02 1.3850e+02\n",
      " 1.3050e+02 1.0700e+02 1.0600e+02 1.1950e+02 1.3900e+02 1.5750e+02\n",
      " 1.2200e+02 1.3750e+02 9.4500e+01 1.1350e+02 1.2050e+02 1.5300e+02\n",
      " 1.2150e+02 1.6700e+02 1.0750e+02 9.5000e+01 1.1250e+02 1.1850e+02\n",
      " 1.5150e+02 1.4400e+02 1.0200e+02 9.9000e+01 1.4600e+02 1.5000e+02\n",
      " 1.0300e+02 9.6500e+01 1.1450e+02 1.0250e+02 9.7000e+01 1.6600e+02\n",
      " 1.5200e+02 1.7800e+02 1.2900e+02 1.6800e+02 1.4700e+02 1.5250e+02\n",
      " 1.5500e+02 1.4450e+02 1.4200e+02 1.5800e+02 1.5600e+02 1.2650e+02\n",
      " 1.4800e+02 1.1550e+02 1.3350e+02 1.5050e+02 1.6000e+02 1.7750e+02\n",
      " 1.0650e+02 1.3550e+02 9.8500e+01 1.7500e+02 1.4350e+02 9.9999e+04\n",
      " 1.0150e+02 1.2550e+02 1.2450e+02 1.7200e+02 9.1000e+01 9.7500e+01\n",
      " 1.4250e+02 1.3650e+02 1.5900e+02 8.9000e+01 1.5400e+02 1.9500e+02\n",
      " 1.8400e+02 8.8000e+01 1.0950e+02 1.6400e+02 1.0100e+02 9.8000e+01\n",
      " 1.1750e+02 1.8100e+02 1.1050e+02 1.1650e+02 1.7100e+02 1.7400e+02\n",
      " 1.2950e+02 1.8150e+02 1.4050e+02 1.7000e+02 1.7450e+02 1.6100e+02\n",
      " 9.3500e+01 1.0550e+02 1.6500e+02 1.5950e+02 1.6200e+02 1.6450e+02\n",
      " 1.8900e+02 8.3000e+01 1.5350e+02 1.4950e+02 1.4150e+02 1.3950e+02\n",
      " 1.6150e+02 8.5000e+01 1.5550e+02 9.2500e+01 9.9500e+01 1.5700e+02\n",
      " 1.8050e+02 1.6900e+02 1.7600e+02 8.8500e+01 1.9600e+02 1.7900e+02\n",
      " 8.6000e+01 8.6500e+01 1.4550e+02 1.4850e+02 1.6950e+02 1.8000e+02\n",
      " 9.0500e+01 2.1500e+02 1.7950e+02 8.7500e+01 9.5500e+01 1.5450e+02\n",
      " 8.9500e+01 8.7000e+01 1.4650e+02 8.2500e+01 1.8700e+02 1.5850e+02\n",
      " 8.0000e+01 1.6250e+02 1.6050e+02 1.6650e+02 8.4500e+01 1.6300e+02\n",
      " 1.7650e+02 1.8500e+02 8.2000e+01 1.6350e+02 1.7250e+02 1.7300e+02\n",
      " 1.8950e+02 1.8600e+02 1.6550e+02 1.6750e+02 1.8300e+02 1.7850e+02\n",
      " 2.0200e+02 8.4000e+01 1.9300e+02 1.8250e+02 1.9200e+02 1.8200e+02\n",
      " 9.1500e+01 8.1000e+01 7.9000e+01 1.8800e+02 1.6850e+02 1.8350e+02\n",
      " 1.9000e+02 8.5500e+01 1.7050e+02 1.9250e+02 2.2000e+02 1.8550e+02\n",
      " 1.7550e+02 7.8000e+01 1.8450e+02 7.4500e+01 8.1500e+01 1.7150e+02\n",
      " 7.5000e+01 7.7500e+01 2.1000e+02 1.7350e+02 1.9950e+02 7.4000e+01\n",
      " 7.6500e+01 2.0000e+02 2.0450e+02 1.9900e+02 1.9750e+02 2.0300e+02\n",
      " 2.0700e+02 1.9700e+02 1.8750e+02 1.9400e+02 7.2000e+01 2.0100e+02\n",
      " 1.9050e+02 7.7000e+01 2.3000e+02 7.0000e+01 2.0600e+02 8.0500e+01\n",
      " 1.9550e+02 2.0800e+02 1.9100e+02 7.8500e+01 2.0900e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan 110.  136.  121.  109.  112.  147.5 117.  119.  143.  135.  120.\n",
      " 127.5 122.5 134.5 131.  126.  130.  177.   96.  113.  111.5 100.  108.5\n",
      " 141.   92.  140.  104.5 127.  145.  116.  133.  128.  111.  108.   90.\n",
      " 104.  105.  115.  100.5 132.  123.  118.  124.  134.  137.  151.   93.\n",
      " 149.  128.5 103.5 138.  131.5 125.  123.5 132.5  94.  156.5 114.  138.5\n",
      " 130.5 107.  106.  119.5 139.  157.5 122.  137.5  94.5 113.5 120.5 153.\n",
      " 121.5 167.  107.5  95.  112.5 118.5 151.5 144.  102.   99.  146.  150.\n",
      " 103.   96.5 114.5 102.5  97.  166.  152.  178.  129.  168.  147.  152.5\n",
      " 155.  144.5 142.  158.  156.  126.5 148.  115.5 133.5 150.5 160.  177.5\n",
      " 106.5 135.5  98.5 175.  143.5 101.5 125.5 124.5 172.   91.   97.5 142.5\n",
      " 136.5 159.   89.  154.  195.  184.   88.  109.5 164.  101.   98.  117.5\n",
      " 181.  110.5 116.5 171.  174.  129.5 181.5 140.5 170.  174.5 161.   93.5\n",
      " 105.5 165.  159.5 162.  164.5 189.   83.  153.5 149.5 141.5 139.5 161.5\n",
      "  85.  155.5  92.5  99.5 157.  180.5 169.  176.   88.5 196.  179.   86.\n",
      "  86.5 145.5 148.5 169.5 180.   90.5 215.  179.5  87.5  95.5 154.5  89.5\n",
      "  87.  146.5  82.5 187.  158.5  80.  162.5 160.5 166.5  84.5 163.  176.5\n",
      " 185.   82.  163.5 172.5 173.  189.5 186.  165.5 167.5 183.  178.5 202.\n",
      "  84.  193.  182.5 192.  182.   91.5  81.   79.  188.  168.5 183.5 190.\n",
      "  85.5 170.5 192.5 220.  185.5 175.5  78.  184.5  74.5  81.5 171.5  75.\n",
      "  77.5 210.  173.5 199.5  74.   76.5 200.  204.5 199.  197.5 203.  207.\n",
      " 197.  187.5 194.   72.  201.  190.5  77.  230.   70.  206.   80.5 195.5\n",
      " 208.  191.   78.5 209. ]\n",
      "-----------------------------------------\n",
      "AS1_BPSIT1LS systolic_blood_pressure@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.4800e+02 1.1000e+02 1.4000e+02 1.3000e+02 1.0400e+02\n",
      " 1.2400e+02 1.0000e+02 1.1800e+02 1.1400e+02 1.1600e+02 1.1200e+02\n",
      " 1.2800e+02 1.0800e+02 1.0200e+02 1.2000e+02 1.4600e+02 9.4000e+01\n",
      " 1.2200e+02 9.8000e+01 1.3400e+02 1.2600e+02 1.3600e+02 1.5000e+02\n",
      " 1.4200e+02 8.6000e+01 1.5200e+02 1.7000e+02 1.0600e+02 9.2000e+01\n",
      " 1.7400e+02 1.4400e+02 1.3800e+02 9.0000e+01 1.3200e+02 1.5800e+02\n",
      " 1.6400e+02 1.5400e+02 1.6800e+02 1.6000e+02 9.6000e+01 8.8000e+01\n",
      " 1.8000e+02 1.5600e+02 8.0000e+01 1.8600e+02 1.8200e+02 8.4000e+01\n",
      " 1.6200e+02 1.8800e+02 1.6600e+02 1.7600e+02 1.8400e+02 2.1200e+02\n",
      " 1.9000e+02 7.6000e+01 2.0000e+02 2.1000e+02 8.2000e+01 1.9800e+02\n",
      " 7.0000e+01 7.8000e+01 9.9999e+04 1.9400e+02 7.4000e+01 2.3000e+02\n",
      " 2.0400e+02 1.7800e+02 1.9600e+02 1.7200e+02 7.2000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 148. 110. 140. 130. 104. 124. 100. 118. 114. 116. 112. 128. 108.\n",
      " 102. 120. 146.  94. 122.  98. 134. 126. 136. 150. 142.  86. 152. 170.\n",
      " 106.  92. 174. 144. 138.  90. 132. 158. 164. 154. 168. 160.  96.  88.\n",
      " 180. 156.  80. 186. 182.  84. 162. 188. 166. 176. 184. 212. 190.  76.\n",
      " 200. 210.  82. 198.  70.  78. 194.  74. 230. 204. 178. 196. 172.  72.]\n",
      "-----------------------------------------\n",
      "NC1_DBP diastolic_blood_pressure@(x!=66666)&(x!=77777)&(x!=99999)@x [5.5000e+01 7.8000e+01 7.5000e+01 9.3000e+01 9.8000e+01 7.6000e+01\n",
      " 7.2000e+01 7.7000e+01 6.7000e+01 8.4000e+01 8.1000e+01 9.7000e+01\n",
      " 8.3000e+01 8.9000e+01 6.0000e+01 9.5000e+01 7.4000e+01 6.9000e+01\n",
      " 1.0000e+02 7.0000e+01 8.0000e+01 8.5000e+01 6.3000e+01 4.9000e+01\n",
      " 1.2200e+02 1.0300e+02 7.9000e+01 9.0000e+01 6.2000e+01 9.2000e+01\n",
      " 6.4000e+01 9.1000e+01 7.1000e+01 5.8000e+01 9.4000e+01 8.8000e+01\n",
      " 6.5000e+01 8.2000e+01 1.0600e+02 6.6000e+01 9.9000e+01 5.1000e+01\n",
      " 8.6000e+01 5.7000e+01 1.1000e+02 7.3000e+01 1.0500e+02 1.1300e+02\n",
      " 9.6000e+01 9.9999e+04 6.1000e+01 5.2000e+01 1.0800e+02 1.1200e+02\n",
      " 6.8000e+01 1.0700e+02 8.7000e+01 1.0200e+02 5.9000e+01 5.3000e+01\n",
      " 1.0100e+02 1.0400e+02 1.1400e+02 5.6000e+01 1.1500e+02 1.1100e+02\n",
      " 1.0900e+02 1.1800e+02 1.1600e+02 5.0000e+01 1.3700e+02 1.2500e+02\n",
      " 4.0000e+01 1.2600e+02 1.1700e+02 1.1900e+02 5.4000e+01 4.2000e+01\n",
      " 4.7000e+01 4.8000e+01        nan 1.2000e+02 4.5000e+01 1.3000e+02\n",
      " 1.6000e+02 1.5000e+02 4.4000e+01 1.4000e+02 1.2400e+02 4.6000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 55.  78.  75.  93.  98.  76.  72.  77.  67.  84.  81.  97.  83.  89.\n",
      "  60.  95.  74.  69. 100.  70.  80.  85.  63.  49. 122. 103.  79.  90.\n",
      "  62.  92.  64.  91.  71.  58.  94.  88.  65.  82. 106.  66.  99.  51.\n",
      "  86.  57. 110.  73. 105. 113.  96.  nan  61.  52. 108. 112.  68. 107.\n",
      "  87. 102.  59.  53. 101. 104. 114.  56. 115. 111. 109. 118. 116.  50.\n",
      " 137. 125.  40. 126. 117. 119.  54.  42.  47.  48. 120.  45. 130. 160.\n",
      " 150.  44. 140. 124.  46.]\n",
      "-----------------------------------------\n",
      "CT1_DBP diastolic_blood_pressure@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 7.0000e+01 8.8000e+01 8.0000e+01 6.2000e+01 7.2000e+01\n",
      " 9.5000e+01 7.9000e+01 6.8000e+01 8.5500e+01 8.5000e+01 7.6000e+01\n",
      " 9.2500e+01 8.2000e+01 6.0000e+01 1.0100e+02 6.6000e+01 5.9000e+01\n",
      " 6.9000e+01 6.7000e+01 7.5000e+01 8.9000e+01 5.8000e+01 9.1000e+01\n",
      " 5.6000e+01 9.6000e+01 1.0000e+02 6.4000e+01 8.3000e+01 8.6000e+01\n",
      " 9.0000e+01 8.7000e+01 5.4000e+01 6.3000e+01 6.5000e+01 6.9500e+01\n",
      " 8.4000e+01 9.3000e+01 8.1500e+01 9.9000e+01 8.0500e+01 8.1000e+01\n",
      " 9.2000e+01 8.2500e+01 7.9500e+01 7.7500e+01 7.2500e+01 7.4000e+01\n",
      " 7.8000e+01 8.7500e+01 8.9500e+01 5.3000e+01 6.7500e+01 6.1000e+01\n",
      " 7.1000e+01 5.7000e+01 7.3000e+01 9.8000e+01 5.9500e+01 7.7000e+01\n",
      " 7.3500e+01 6.1500e+01 7.4500e+01 5.2000e+01 6.5500e+01 9.0500e+01\n",
      " 9.5500e+01 6.6500e+01 8.6500e+01 5.5000e+01 5.7500e+01 6.0500e+01\n",
      " 6.3500e+01 7.0500e+01 9.4000e+01 1.2200e+02 1.1800e+02 8.8500e+01\n",
      " 7.5500e+01 1.0200e+02 7.1500e+01 6.4500e+01 8.4500e+01 6.8500e+01\n",
      " 5.8500e+01 1.0500e+02 9.7000e+01 1.1000e+02 9.9999e+04 7.8500e+01\n",
      " 1.0600e+02 7.6500e+01 6.2500e+01 9.8500e+01 1.3000e+02 1.0400e+02\n",
      " 1.2100e+02 1.0700e+02 5.5500e+01 8.3500e+01 9.3500e+01 5.0000e+01\n",
      " 1.0900e+02 5.3500e+01 9.6500e+01 1.0300e+02 4.8000e+01 5.1500e+01\n",
      " 9.7500e+01 4.3000e+01 1.1900e+02 9.4500e+01 4.9500e+01 4.9000e+01\n",
      " 5.6500e+01 1.1500e+02 1.1300e+02 5.1000e+01 5.4500e+01 9.9500e+01\n",
      " 1.0350e+02 4.7000e+01 1.0050e+02 5.0500e+01 1.2000e+02 1.0150e+02\n",
      " 5.2500e+01 1.1400e+02 4.8500e+01 1.0250e+02 1.0850e+02 9.1500e+01\n",
      " 1.0800e+02 1.1200e+02 1.0550e+02 1.0750e+02 1.2500e+02 1.1600e+02\n",
      " 1.2150e+02 4.7500e+01 1.2300e+02 1.0650e+02 1.1100e+02 1.0450e+02\n",
      " 4.6500e+01 4.6000e+01 1.2900e+02 4.2000e+01 1.1450e+02 4.2500e+01\n",
      " 1.3500e+02 1.1150e+02 1.0950e+02 1.1350e+02 4.5500e+01 1.5000e+02\n",
      " 1.1050e+02 4.4000e+01 1.1700e+02 1.1550e+02 4.4500e+01 1.3900e+02\n",
      " 4.5000e+01 1.3400e+02 4.1000e+01 1.1250e+02 1.2650e+02 1.4000e+02\n",
      " 1.2250e+02 1.1950e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  70.   88.   80.   62.   72.   95.   79.   68.   85.5  85.   76.\n",
      "  92.5  82.   60.  101.   66.   59.   69.   67.   75.   89.   58.   91.\n",
      "  56.   96.  100.   64.   83.   86.   90.   87.   54.   63.   65.   69.5\n",
      "  84.   93.   81.5  99.   80.5  81.   92.   82.5  79.5  77.5  72.5  74.\n",
      "  78.   87.5  89.5  53.   67.5  61.   71.   57.   73.   98.   59.5  77.\n",
      "  73.5  61.5  74.5  52.   65.5  90.5  95.5  66.5  86.5  55.   57.5  60.5\n",
      "  63.5  70.5  94.  122.  118.   88.5  75.5 102.   71.5  64.5  84.5  68.5\n",
      "  58.5 105.   97.  110.   78.5 106.   76.5  62.5  98.5 130.  104.  121.\n",
      " 107.   55.5  83.5  93.5  50.  109.   53.5  96.5 103.   48.   51.5  97.5\n",
      "  43.  119.   94.5  49.5  49.   56.5 115.  113.   51.   54.5  99.5 103.5\n",
      "  47.  100.5  50.5 120.  101.5  52.5 114.   48.5 102.5 108.5  91.5 108.\n",
      " 112.  105.5 107.5 125.  116.  121.5  47.5 123.  106.5 111.  104.5  46.5\n",
      "  46.  129.   42.  114.5  42.5 135.  111.5 109.5 113.5  45.5 150.  110.5\n",
      "  44.  117.  115.5  44.5 139.   45.  134.   41.  112.5 126.5 140.  122.5\n",
      " 119.5]\n",
      "-----------------------------------------\n",
      "AS1_BPSIT1LD diastolic_blood_pressure@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 7.4000e+01 7.0000e+01 9.0000e+01 9.2000e+01 8.0000e+01\n",
      " 7.2000e+01 8.2000e+01 1.0000e+02 7.6000e+01 8.4000e+01 8.6000e+01\n",
      " 8.8000e+01 6.0000e+01 6.8000e+01 9.6000e+01 5.8000e+01 5.6000e+01\n",
      " 9.8000e+01 7.8000e+01 9.4000e+01 6.6000e+01 1.1000e+02 1.0800e+02\n",
      " 6.4000e+01 1.0400e+02 6.2000e+01 1.0200e+02 1.1200e+02 5.0000e+01\n",
      " 5.4000e+01 4.0000e+01 1.1600e+02 1.0600e+02 1.2400e+02 4.6000e+01\n",
      " 4.8000e+01 1.2000e+02 1.1800e+02 5.2000e+01 4.2000e+01 1.1400e+02\n",
      " 1.3000e+02 4.4000e+01 9.9999e+04 1.2800e+02 1.3800e+02 1.6000e+02\n",
      " 1.2200e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  74.  70.  90.  92.  80.  72.  82. 100.  76.  84.  86.  88.  60.\n",
      "  68.  96.  58.  56.  98.  78.  94.  66. 110. 108.  64. 104.  62. 102.\n",
      " 112.  50.  54.  40. 116. 106. 124.  46.  48. 120. 118.  52.  42. 114.\n",
      " 130.  44. 128. 138. 160. 122.]\n",
      "-----------------------------------------\n",
      "NC1_PULSE1 pulse@(x!=66666)&(x!=77777)&(x!=99999)@x [7.4000e+01 7.2000e+01 6.8000e+01 7.8000e+01 6.4000e+01 1.0000e+02\n",
      " 4.8000e+01 8.6000e+01 7.0000e+01 6.6000e+01 6.0000e+01 8.8000e+01\n",
      " 4.1000e+01 7.6000e+01 5.0000e+01 6.2000e+01 6.3000e+01 6.6666e+04\n",
      " 8.0000e+01 2.7000e+01 9.2000e+01 8.4000e+01 9.0000e+01 5.6000e+01\n",
      " 5.8000e+01 8.2000e+01 1.3400e+02 9.9999e+04 5.2000e+01 5.4000e+01\n",
      " 9.6000e+01 7.5000e+01 4.2000e+01 9.8000e+01 9.4000e+01 1.0400e+02\n",
      " 6.7000e+01 7.1000e+01 4.4000e+01 8.1000e+01 1.0600e+02 4.6000e+01\n",
      " 9.1000e+01 2.9000e+01 6.9000e+01 5.1000e+01 1.0200e+02 6.1000e+01\n",
      " 3.2000e+01 8.5000e+01 2.8000e+01 2.6000e+01 5.7000e+01 8.7000e+01\n",
      " 3.3000e+01 5.5000e+01 7.3000e+01 4.5000e+01 6.5000e+01 1.1100e+02\n",
      " 3.8000e+01 5.9000e+01 1.0800e+02 4.0000e+01 7.9000e+01 1.1400e+02\n",
      " 1.1200e+02 1.2000e+02 1.1000e+02 3.7000e+01        nan 5.3000e+01\n",
      " 9.3000e+01 1.0100e+02 8.3000e+01 7.7000e+01 1.1300e+02 9.5000e+01\n",
      " 8.9000e+01 4.9000e+01 9.7000e+01 1.0700e+02 1.0300e+02 1.0900e+02\n",
      " 1.2600e+02 9.9000e+01 3.6000e+01 4.3000e+01 4.7000e+01 1.1900e+02\n",
      " 1.1500e+02 1.2700e+02 3.9000e+01 1.0500e+02 1.1800e+02 1.1700e+02\n",
      " 1.2100e+02 3.0000e+01 3.4000e+01 1.2500e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 74.  72.  68.  78.  64. 100.  48.  86.  70.  66.  60.  88.  41.  76.\n",
      "  50.  62.  63.  nan  80.  27.  92.  84.  90.  56.  58.  82. 134.  52.\n",
      "  54.  96.  75.  42.  98.  94. 104.  67.  71.  44.  81. 106.  46.  91.\n",
      "  29.  69.  51. 102.  61.  32.  85.  28.  26.  57.  87.  33.  55.  73.\n",
      "  45.  65. 111.  38.  59. 108.  40.  79. 114. 112. 120. 110.  37.  53.\n",
      "  93. 101.  83.  77. 113.  95.  89.  49.  97. 107. 103. 109. 126.  99.\n",
      "  36.  43.  47. 119. 115. 127.  39. 105. 118. 117. 121.  30.  34. 125.]\n",
      "-----------------------------------------\n",
      "CT1_PULSE pulse@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6000e+01 8.8000e+01 7.6000e+01 6.9000e+01 6.7000e+01\n",
      " 5.9000e+01 7.0000e+01 8.6000e+01 6.4000e+01 6.0000e+01 7.4000e+01\n",
      " 7.2000e+01 6.8000e+01 9.9999e+04 5.3000e+01 5.8000e+01 6.2000e+01\n",
      " 7.8000e+01 5.4000e+01 8.0000e+01 6.5000e+01 6.3000e+01 8.2000e+01\n",
      " 8.3000e+01 7.9000e+01 8.1000e+01 8.4000e+01 7.3000e+01 5.6000e+01\n",
      " 4.6000e+01 7.1000e+01 7.7000e+01 4.2000e+01 8.7000e+01 5.7000e+01\n",
      " 6.1000e+01 3.8000e+01 1.0300e+02 8.5000e+01 1.0800e+02 7.5000e+01\n",
      " 4.9000e+01 4.8000e+01 5.1000e+01 5.5000e+01 9.0000e+01 9.2000e+01\n",
      " 8.9000e+01 5.2000e+01 9.5000e+01 9.7000e+01 4.3000e+01 1.1100e+02\n",
      " 9.3000e+01 9.1000e+01 1.0400e+02 9.6000e+01 9.4000e+01 1.2300e+02\n",
      " 5.0000e+01 4.4000e+01 1.0100e+02 4.5000e+01 1.0000e+02 1.0900e+02\n",
      " 4.7000e+01 9.9000e+01 9.8000e+01 1.0200e+02 4.0000e+01 1.2000e+02\n",
      " 1.1500e+02 4.1000e+01 1.0600e+02 1.1200e+02 1.3500e+02 1.0700e+02\n",
      " 1.1900e+02 1.1600e+02 1.1400e+02 1.1000e+02 1.1300e+02 1.2700e+02\n",
      " 1.2400e+02 1.0500e+02 1.2100e+02 3.6000e+01 1.3000e+02 3.7000e+01\n",
      " 3.2000e+01 3.0000e+01 1.2500e+02 1.4000e+02 1.3100e+02 3.9000e+01\n",
      " 3.5000e+01 1.1700e+02 1.1800e+02 1.3400e+02 3.4000e+01 1.2600e+02\n",
      " 3.1000e+01 1.3800e+02 1.2800e+02 1.3200e+02 1.3600e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  66.  88.  76.  69.  67.  59.  70.  86.  64.  60.  74.  72.  68.\n",
      "  53.  58.  62.  78.  54.  80.  65.  63.  82.  83.  79.  81.  84.  73.\n",
      "  56.  46.  71.  77.  42.  87.  57.  61.  38. 103.  85. 108.  75.  49.\n",
      "  48.  51.  55.  90.  92.  89.  52.  95.  97.  43. 111.  93.  91. 104.\n",
      "  96.  94. 123.  50.  44. 101.  45. 100. 109.  47.  99.  98. 102.  40.\n",
      " 120. 115.  41. 106. 112. 135. 107. 119. 116. 114. 110. 113. 127. 124.\n",
      " 105. 121.  36. 130.  37.  32.  30. 125. 140. 131.  39.  35. 117. 118.\n",
      " 134.  34. 126.  31. 138. 128. 132. 136.]\n",
      "-----------------------------------------\n",
      "AS1_PLLIE1 pulse@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 5.1000e+01 6.0000e+01 6.6000e+01 6.2000e+01 6.4000e+01\n",
      " 6.8000e+01 7.0000e+01 5.7000e+01 5.0000e+01 4.8000e+01 5.6000e+01\n",
      " 5.8000e+01 5.4000e+01 5.2000e+01 4.6000e+01 8.8000e+01 7.2000e+01\n",
      " 7.6000e+01 6.9000e+01 9.2000e+01 8.0000e+01 8.4000e+01 4.4000e+01\n",
      " 7.8000e+01 8.2000e+01 7.4000e+01 7.5000e+01 6.3000e+01 7.3000e+01\n",
      " 9.4000e+01 9.6000e+01 9.0000e+01 4.2000e+01 1.0000e+02 6.5000e+01\n",
      " 3.6000e+01 8.7000e+01 8.1000e+01 9.9999e+04 4.5000e+01 4.0000e+01\n",
      " 5.5000e+01 6.1000e+01 6.7000e+01 8.6000e+01 1.0800e+02 9.8000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  51.  60.  66.  62.  64.  68.  70.  57.  50.  48.  56.  58.  54.\n",
      "  52.  46.  88.  72.  76.  69.  92.  80.  84.  44.  78.  82.  74.  75.\n",
      "  63.  73.  94.  96.  90.  42. 100.  65.  36.  87.  81.  45.  40.  55.\n",
      "  61.  67.  86. 108.  98.]\n",
      "-----------------------------------------\n",
      "NC1_HYST hysterectomy@2@2 [1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  10591\n",
      "# of filtered=2 after:  1241 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_HYST hysterectomy@2@2 [       nan 1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  56706\n",
      "# of filtered=2 after:  7295 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_MNSAG menarche_onset_age@(x!=66666)&(x!=77777)&(x!=99999)@x [1.5000e+01 7.7777e+04 1.4000e+01 1.7000e+01 1.2000e+01 1.9000e+01\n",
      " 2.0000e+01 1.6000e+01 1.8000e+01 9.9999e+04 1.3000e+01 2.1000e+01\n",
      " 2.8000e+01 1.1000e+01 2.2000e+01 2.5000e+01 2.3000e+01 2.4000e+01\n",
      " 2.9000e+01 1.0000e+01        nan 2.6000e+01 9.0000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [15. nan 14. 17. 12. 19. 20. 16. 18. 13. 21. 28. 11. 22. 25. 23. 24. 29.\n",
      " 10. 26.  9.]\n",
      "-----------------------------------------\n",
      "CT1_MNSAG menarche_onset_age@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 2.1000e+01 7.7777e+04 1.2000e+01 1.3000e+01 1.6000e+01\n",
      " 1.7000e+01 1.4000e+01 1.5000e+01 1.9000e+01 1.8000e+01 1.1000e+01\n",
      " 9.9999e+04 2.0000e+01 2.2000e+01 1.0000e+01 2.5000e+01 2.3000e+01\n",
      " 9.0000e+00 2.4000e+01 2.7000e+01 2.6000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 21. 12. 13. 16. 17. 14. 15. 19. 18. 11. 20. 22. 10. 25. 23.  9. 24.\n",
      " 27. 26.]\n",
      "-----------------------------------------\n",
      "AS1_MNSAG menarche_onset_age@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.9000e+01 1.4000e+01 7.7777e+04 1.3000e+01 1.5000e+01\n",
      " 2.4000e+01 1.6000e+01 1.7000e+01 1.8000e+01 9.9999e+04 2.0000e+01\n",
      " 1.2000e+01 2.1000e+01 1.1000e+01 2.2000e+01 1.0000e+01 2.3000e+01\n",
      " 2.5000e+01 2.7000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 19. 14. 13. 15. 24. 16. 17. 18. 20. 12. 21. 11. 22. 10. 23. 25. 27.]\n",
      "-----------------------------------------\n",
      "NC1_PMAG menopause_age@(x!=66666)&(x!=77777)&(x!=99999)@x [9.9999e+04 7.7777e+04 5.1000e+01 4.6000e+01 5.0000e+01 5.4000e+01\n",
      " 5.2000e+01 5.7000e+01 4.7000e+01 4.5000e+01 4.4000e+01 4.8000e+01\n",
      " 4.9000e+01 4.2000e+01 5.6000e+01 3.8000e+01 4.0000e+01 4.3000e+01\n",
      " 3.9000e+01 5.3000e+01 3.4000e+01 5.9000e+01 5.5000e+01 4.1000e+01\n",
      " 5.8000e+01 3.5000e+01 2.5000e+01 3.3000e+01 3.7000e+01 6.0000e+01\n",
      " 3.6000e+01 3.2000e+01 3.0000e+01 6.3000e+01 3.1000e+01 2.9000e+01\n",
      " 2.8000e+01 2.2000e+01 6.4000e+01 6.5000e+01 7.0000e+01 2.7000e+01\n",
      " 6.2000e+01        nan 2.4000e+01 6.1000e+01 2.6000e+01 1.9000e+01\n",
      " 2.1000e+01 6.7000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 51. 46. 50. 54. 52. 57. 47. 45. 44. 48. 49. 42. 56. 38. 40. 43. 39.\n",
      " 53. 34. 59. 55. 41. 58. 35. 25. 33. 37. 60. 36. 32. 30. 63. 31. 29. 28.\n",
      " 22. 64. 65. 70. 27. 62. 24. 61. 26. 19. 21. 67.]\n",
      "-----------------------------------------\n",
      "CT1_PMAG menopause_age@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 5.3000e+01 7.7777e+04 3.4000e+01 4.8000e+01 5.1000e+01\n",
      " 5.2000e+01 5.0000e+01 5.4000e+01 3.5000e+01 4.2000e+01 5.9000e+01\n",
      " 5.6000e+01 4.9000e+01 4.0000e+01 4.7000e+01 5.5000e+01 4.6000e+01\n",
      " 4.1000e+01 5.8000e+01 3.9000e+01 2.7000e+01 5.7000e+01 3.6000e+01\n",
      " 9.9999e+04 6.1000e+01 4.3000e+01 4.5000e+01 4.4000e+01 3.8000e+01\n",
      " 2.2000e+01 3.0000e+01 3.7000e+01 3.1000e+01 3.2000e+01 3.3000e+01\n",
      " 2.8000e+01 2.5000e+01 6.0000e+01 2.6000e+01 2.4000e+01 1.8000e+01\n",
      " 2.9000e+01 2.3000e+01 6.3000e+01 6.8000e+01 6.4000e+01 1.9000e+01\n",
      " 6.2000e+01 6.5000e+01 6.7000e+01 2.1000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 53. 34. 48. 51. 52. 50. 54. 35. 42. 59. 56. 49. 40. 47. 55. 46. 41.\n",
      " 58. 39. 27. 57. 36. 61. 43. 45. 44. 38. 22. 30. 37. 31. 32. 33. 28. 25.\n",
      " 60. 26. 24. 18. 29. 23. 63. 68. 64. 19. 62. 65. 67. 21.]\n",
      "-----------------------------------------\n",
      "NC1_MENCIR menopause_cycle@(x!=66666)&(x!=77777)&(x!=99999)@x [7.7777e+04 3.0000e+01 9.9999e+04 2.8000e+01 2.5000e+01 1.8000e+01\n",
      " 2.9000e+01 2.6000e+01 2.0000e+01 1.2000e+02 3.5000e+01 2.7000e+01\n",
      " 6.0000e+00 2.4000e+01 2.1000e+01 6.0000e+01 4.0000e+01 3.1000e+01\n",
      " 3.3000e+01 2.3000e+01 3.4000e+01        nan 1.5000e+01 3.2000e+01\n",
      " 2.2000e+01 8.0000e+01 1.7000e+01 4.5000e+01 3.6000e+01 3.7000e+01\n",
      " 5.0000e+01 1.0000e+01 4.0000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  30.  28.  25.  18.  29.  26.  20. 120.  35.  27.   6.  24.  21.\n",
      "  60.  40.  31.  33.  23.  34.  15.  32.  22.  80.  17.  45.  36.  37.\n",
      "  50.  10.   4.]\n",
      "-----------------------------------------\n",
      "CT1_MENCIR menopause_cycle@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 7.7777e+04 2.8000e+01 2.4000e+01 2.5000e+01 2.7000e+01\n",
      " 3.0000e+01 2.9000e+01 2.6000e+01 3.1000e+01 9.9999e+04 3.2000e+01\n",
      " 3.5000e+01 2.3000e+01 2.2000e+01 4.0000e+01 2.0000e+01 4.5000e+01\n",
      " 3.3000e+01 6.0000e+01 5.3000e+01 3.4000e+01 5.0000e+01 2.1000e+01\n",
      " 3.8000e+01 1.6000e+01 3.9000e+01 2.2700e+02 1.8000e+01 4.2000e+01\n",
      " 1.5000e+01 5.4000e+01 1.7000e+01 1.9000e+01 4.8000e+01 4.3000e+01\n",
      " 3.7000e+01 9.0000e+01 4.6000e+01 3.2500e+02 5.5000e+01 3.6000e+01\n",
      " 2.2800e+02 2.8800e+02 5.2000e+01 5.1000e+01 2.2600e+02 1.2500e+02\n",
      " 5.7000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  28.  24.  25.  27.  30.  29.  26.  31.  32.  35.  23.  22.  40.\n",
      "  20.  45.  33.  60.  53.  34.  50.  21.  38.  16.  39. 227.  18.  42.\n",
      "  15.  54.  17.  19.  48.  43.  37.  90.  46. 325.  55.  36. 228. 288.\n",
      "  52.  51. 226. 125.  57.]\n",
      "-----------------------------------------\n",
      "NC1_OVAT ovarian_extraction@(x>1)&(x<5)@2 [6.6666e+04 1.0000e+00 7.7777e+04 2.0000e+00 4.0000e+00 9.9999e+04\n",
      "        nan 3.0000e+00]\n",
      "# of filtered=1 before:  1444\n",
      "# of filtered=2 after:  98 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_OVARY ovarian_extraction@(x>1)&(x<5)@2 [       nan 1.0000e+00 6.6666e+04 7.7777e+04 9.9999e+04 2.0000e+00\n",
      " 3.0000e+00]\n",
      "# of filtered=1 before:  18267\n",
      "# of filtered=2 after:  1507 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_OVAT ovarian_extraction@(x>1)&(x<5)@2 [       nan 6.6666e+04 7.7777e+04 1.0000e+00 2.0000e+00 4.0000e+00\n",
      " 9.9999e+04 3.0000e+00]\n",
      "# of filtered=1 before:  36504\n",
      "# of filtered=2 after:  2725 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_CHILDNO child_delivery_number@(x!=66666)&(x!=77777)&(x!=99999)@x [4.0000e+00 7.7777e+04 3.0000e+00 5.0000e+00 2.0000e+00 8.0000e+00\n",
      " 7.0000e+00 6.0000e+00 1.0000e+00 9.0000e+00 1.2000e+01 1.0000e+01\n",
      " 9.9999e+04 1.1000e+01        nan]\n",
      "# of filtered=1 before:  614\n",
      "# of filtered=2 after:  3539 , conversion unique [ 4. nan  3.  5.  2.  8.  7.  6.  1.  9. 12. 10. 11.]\n",
      "-----------------------------------------\n",
      "CT1_CHILDNO child_delivery_number@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.0000e+00 7.7777e+04 1.0000e+00 2.0000e+00 3.0000e+00\n",
      " 5.0000e+00 6.0000e+00 9.9999e+04 7.0000e+00 8.0000e+00 9.0000e+00\n",
      " 1.0000e+01 1.2000e+01]\n",
      "# of filtered=1 before:  6315\n",
      "# of filtered=2 after:  35082 , conversion unique [nan  4.  1.  2.  3.  5.  6.  7.  8.  9. 10. 12.]\n",
      "-----------------------------------------\n",
      "NC1_BIGBABY big_baby@2@2 [1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04        nan 6.6666e+04]\n",
      "# of filtered=1 before:  7603\n",
      "# of filtered=2 after:  743 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_BIGBABY big_baby@2@2 [       nan 1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  56355\n",
      "# of filtered=2 after:  4325 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_SMALLBABY small_baby@2@2 [6.6666e+04 1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  4023\n",
      "# of filtered=2 after:  178 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_SMALLBABY small_baby@2@2 [       nan 1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  58044\n",
      "# of filtered=2 after:  2602 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_CHILD_P child_present@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.0000e+00 1.0000e+00 7.7777e+04 2.0000e+00 3.0000e+00\n",
      " 5.0000e+00 7.0000e+00 9.9999e+04 6.0000e+00 0.0000e+00 9.0000e+00\n",
      " 8.0000e+00]\n",
      "# of filtered=1 before:  277\n",
      "# of filtered=2 after:  1491 , conversion unique [nan  4.  1.  2.  3.  5.  7.  6.  0.  9.  8.]\n",
      "-----------------------------------------\n",
      "AS1_CHILD_D child_dead@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 0.0000e+00 1.0000e+00 7.7777e+04 2.0000e+00 9.9999e+04\n",
      " 3.0000e+00 4.0000e+00]\n",
      "# of filtered=1 before:  235\n",
      "# of filtered=2 after:  46 , conversion unique [nan  0.  1.  2.  3.  4.]\n",
      "-----------------------------------------\n",
      "NC1_HCT hematocrit@(x!=66666)&(x!=77777)&(x!=99999)@x [3.6300e+01 4.4500e+01 4.2000e+01 3.9400e+01 3.9800e+01 4.0500e+01\n",
      " 4.0100e+01 4.4100e+01 3.5200e+01 4.4900e+01 4.4800e+01 3.3200e+01\n",
      " 4.3200e+01 4.6100e+01 3.3400e+01 4.0300e+01 4.1000e+01 3.9900e+01\n",
      " 4.2900e+01 3.5400e+01 4.4600e+01 4.3400e+01 3.7900e+01 3.6500e+01\n",
      " 4.5900e+01 4.6800e+01 3.8200e+01 4.1100e+01 4.8000e+01 2.1800e+01\n",
      " 4.6500e+01 3.8100e+01 4.3700e+01 4.2800e+01 3.6600e+01 3.7700e+01\n",
      " 3.7100e+01 4.0400e+01 4.1200e+01 4.2200e+01 4.5800e+01 3.9700e+01\n",
      " 3.6000e+01 3.4700e+01 4.5500e+01 5.2100e+01 3.4400e+01 3.7400e+01\n",
      " 3.3700e+01 4.2100e+01 4.1700e+01 4.5400e+01 4.1900e+01 3.8800e+01\n",
      " 4.2700e+01 3.8900e+01 4.0600e+01 4.3100e+01 3.7800e+01 4.0700e+01\n",
      " 4.4300e+01 4.1500e+01 4.4400e+01 3.8600e+01 4.6400e+01 3.4600e+01\n",
      " 3.5100e+01 3.0500e+01 3.2700e+01 4.8600e+01 3.6700e+01 5.3200e+01\n",
      " 3.8500e+01 3.7500e+01 4.4000e+01 3.3600e+01 4.2600e+01 4.3900e+01\n",
      " 3.8000e+01 4.2500e+01 5.1000e+01 4.7500e+01 3.7000e+01 4.0200e+01\n",
      " 2.6100e+01 5.0000e+01 4.7600e+01 4.6600e+01 3.3500e+01 4.3300e+01\n",
      " 3.8700e+01 3.8300e+01 3.6100e+01 4.8100e+01 3.9600e+01 4.1800e+01\n",
      " 3.7200e+01 3.1100e+01 4.5600e+01 3.8400e+01 4.2300e+01 3.9000e+01\n",
      " 4.0800e+01 4.9900e+01 3.9500e+01 3.6900e+01 3.5900e+01 4.1600e+01\n",
      " 3.3100e+01 3.4000e+01 4.5000e+01 4.1400e+01 4.8900e+01 3.5000e+01\n",
      " 3.5300e+01 3.3300e+01 4.5300e+01 3.2500e+01 3.6800e+01 3.9100e+01\n",
      " 3.2300e+01 3.9300e+01 3.4900e+01 3.5600e+01 4.3800e+01 3.4300e+01\n",
      " 4.4200e+01 4.7900e+01 5.0600e+01 4.8200e+01 4.3000e+01 4.0000e+01\n",
      " 3.7600e+01 4.6900e+01 3.9200e+01 4.4700e+01 4.3600e+01 3.2200e+01\n",
      " 4.2400e+01 4.5700e+01 3.4800e+01 3.6200e+01 4.7200e+01 4.0900e+01\n",
      " 4.7100e+01 4.9100e+01 4.9600e+01 4.3500e+01 3.7300e+01 3.5500e+01\n",
      " 4.8700e+01 4.6000e+01 5.0500e+01 4.6300e+01 4.7800e+01 3.3800e+01\n",
      " 4.1300e+01 3.6400e+01 3.4500e+01 4.6700e+01 4.8300e+01 5.2200e+01\n",
      " 4.8500e+01 2.9000e+01 3.2400e+01 3.2100e+01 3.5700e+01 3.4200e+01\n",
      " 3.0900e+01 3.0200e+01 5.0200e+01 4.8400e+01 4.7300e+01 4.9500e+01\n",
      " 4.5200e+01 4.6200e+01 4.5100e+01 4.9200e+01 2.8900e+01 3.1800e+01\n",
      " 4.7000e+01 5.1500e+01 5.0300e+01 3.2800e+01 3.1700e+01 3.5800e+01\n",
      " 4.7700e+01 3.1900e+01 2.9900e+01 5.1300e+01 3.4100e+01 4.9800e+01\n",
      " 3.2900e+01 3.0300e+01 3.1200e+01 3.2600e+01 5.1200e+01 3.1300e+01\n",
      " 5.3000e+01 5.0800e+01 5.3900e+01 2.5100e+01 4.9400e+01 4.8800e+01\n",
      " 5.3400e+01 3.2000e+01 5.4600e+01 2.5700e+01 3.0700e+01 4.9300e+01\n",
      " 3.1400e+01 4.7400e+01 3.0600e+01 2.9200e+01 5.7100e+01 5.1600e+01\n",
      " 3.1600e+01 2.8700e+01 4.9700e+01 2.8500e+01 2.7800e+01 5.0400e+01\n",
      " 5.2600e+01 3.3000e+01 5.1800e+01 5.1100e+01 5.0900e+01 3.3900e+01\n",
      " 2.9700e+01 2.8000e+01 5.1400e+01 2.2400e+01 2.9300e+01 5.3100e+01\n",
      " 5.1700e+01 3.0100e+01 3.0400e+01 4.9000e+01 2.6200e+01 5.0700e+01\n",
      " 5.2300e+01 2.8600e+01 5.5300e+01 5.2400e+01 3.0800e+01 5.2800e+01\n",
      " 3.1500e+01 5.4200e+01 5.2900e+01 3.1000e+01 2.8100e+01 2.3900e+01\n",
      " 5.1900e+01        nan 5.4500e+01 2.8800e+01 5.8700e+01 2.6900e+01\n",
      " 5.2700e+01 2.5600e+01 5.4100e+01 5.0100e+01 2.7600e+01 5.3600e+01\n",
      " 2.7400e+01 5.6800e+01 2.4800e+01 5.5500e+01 9.9999e+04 2.9600e+01\n",
      " 2.5200e+01 2.5500e+01 2.2800e+01 2.5400e+01 5.2500e+01 3.0000e+01\n",
      " 2.6000e+01 2.6800e+01 5.4000e+01 5.3300e+01 2.0900e+01 1.7100e+01\n",
      " 2.9500e+01 5.3800e+01 2.7000e+01 5.3500e+01 2.8300e+01 5.4400e+01\n",
      " 2.9800e+01 5.2000e+01 2.9400e+01 5.4800e+01 2.5800e+01 5.5200e+01\n",
      " 2.7900e+01 2.6500e+01 2.8400e+01 2.9100e+01 2.4000e+01 2.4500e+01\n",
      " 2.3400e+01 2.1600e+01 2.2100e+01 5.7400e+01 5.4300e+01 2.7500e+01\n",
      " 2.7700e+01 2.4900e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [36.3 44.5 42.  39.4 39.8 40.5 40.1 44.1 35.2 44.9 44.8 33.2 43.2 46.1\n",
      " 33.4 40.3 41.  39.9 42.9 35.4 44.6 43.4 37.9 36.5 45.9 46.8 38.2 41.1\n",
      " 48.  21.8 46.5 38.1 43.7 42.8 36.6 37.7 37.1 40.4 41.2 42.2 45.8 39.7\n",
      " 36.  34.7 45.5 52.1 34.4 37.4 33.7 42.1 41.7 45.4 41.9 38.8 42.7 38.9\n",
      " 40.6 43.1 37.8 40.7 44.3 41.5 44.4 38.6 46.4 34.6 35.1 30.5 32.7 48.6\n",
      " 36.7 53.2 38.5 37.5 44.  33.6 42.6 43.9 38.  42.5 51.  47.5 37.  40.2\n",
      " 26.1 50.  47.6 46.6 33.5 43.3 38.7 38.3 36.1 48.1 39.6 41.8 37.2 31.1\n",
      " 45.6 38.4 42.3 39.  40.8 49.9 39.5 36.9 35.9 41.6 33.1 34.  45.  41.4\n",
      " 48.9 35.  35.3 33.3 45.3 32.5 36.8 39.1 32.3 39.3 34.9 35.6 43.8 34.3\n",
      " 44.2 47.9 50.6 48.2 43.  40.  37.6 46.9 39.2 44.7 43.6 32.2 42.4 45.7\n",
      " 34.8 36.2 47.2 40.9 47.1 49.1 49.6 43.5 37.3 35.5 48.7 46.  50.5 46.3\n",
      " 47.8 33.8 41.3 36.4 34.5 46.7 48.3 52.2 48.5 29.  32.4 32.1 35.7 34.2\n",
      " 30.9 30.2 50.2 48.4 47.3 49.5 45.2 46.2 45.1 49.2 28.9 31.8 47.  51.5\n",
      " 50.3 32.8 31.7 35.8 47.7 31.9 29.9 51.3 34.1 49.8 32.9 30.3 31.2 32.6\n",
      " 51.2 31.3 53.  50.8 53.9 25.1 49.4 48.8 53.4 32.  54.6 25.7 30.7 49.3\n",
      " 31.4 47.4 30.6 29.2 57.1 51.6 31.6 28.7 49.7 28.5 27.8 50.4 52.6 33.\n",
      " 51.8 51.1 50.9 33.9 29.7 28.  51.4 22.4 29.3 53.1 51.7 30.1 30.4 49.\n",
      " 26.2 50.7 52.3 28.6 55.3 52.4 30.8 52.8 31.5 54.2 52.9 31.  28.1 23.9\n",
      " 51.9  nan 54.5 28.8 58.7 26.9 52.7 25.6 54.1 50.1 27.6 53.6 27.4 56.8\n",
      " 24.8 55.5 29.6 25.2 25.5 22.8 25.4 52.5 30.  26.  26.8 54.  53.3 20.9\n",
      " 17.1 29.5 53.8 27.  53.5 28.3 54.4 29.8 52.  29.4 54.8 25.8 55.2 27.9\n",
      " 26.5 28.4 29.1 24.  24.5 23.4 21.6 22.1 57.4 54.3 27.5 27.7 24.9]\n",
      "-----------------------------------------\n",
      "CT1_HCT hematocrit@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 4.5700e+01 4.5200e+01 4.3000e+01 3.6500e+01\n",
      " 3.9200e+01 4.2300e+01 4.2200e+01 4.6800e+01 4.0700e+01 4.6200e+01\n",
      " 4.4000e+01 4.2900e+01 4.8800e+01 4.2500e+01 4.4100e+01 3.6900e+01\n",
      " 4.1200e+01 4.3600e+01 3.9500e+01 3.4200e+01 4.2000e+01 3.5300e+01\n",
      " 4.3400e+01 3.3800e+01 3.9000e+01 4.4600e+01 3.7700e+01 4.0500e+01\n",
      " 3.5600e+01 4.8100e+01 3.8600e+01 3.7500e+01 3.7900e+01 4.0300e+01\n",
      " 4.0000e+01 3.8800e+01 4.3800e+01 4.3700e+01 4.3200e+01 4.7600e+01\n",
      " 4.0600e+01 4.3100e+01 5.0600e+01 4.9900e+01 3.8700e+01 3.5200e+01\n",
      " 4.7500e+01 4.3500e+01 4.8300e+01 4.2700e+01 4.7000e+01 3.5000e+01\n",
      " 4.7200e+01 4.0800e+01 4.4500e+01 4.1300e+01 4.1400e+01 4.4200e+01\n",
      " 3.9100e+01 3.7400e+01 3.6100e+01 3.9400e+01 3.8200e+01 4.3300e+01\n",
      " 3.3100e+01 3.9900e+01 3.8000e+01 4.0200e+01 4.1600e+01 3.9700e+01\n",
      " 4.2800e+01 3.5400e+01 4.2600e+01 4.1900e+01 4.5300e+01 4.5900e+01\n",
      " 4.3900e+01 3.8400e+01 3.0300e+01 3.7300e+01 3.9600e+01 4.2100e+01\n",
      " 3.5900e+01 4.0400e+01 4.4700e+01 4.0100e+01 4.5800e+01 4.4300e+01\n",
      " 3.7800e+01 3.6700e+01 3.6400e+01 5.1400e+01 4.6000e+01 3.7200e+01\n",
      " 4.7100e+01 3.2300e+01 4.6500e+01 4.1100e+01 3.8100e+01 3.6600e+01\n",
      " 3.0000e+01 3.2700e+01 3.7000e+01 3.7600e+01 3.2600e+01 4.6600e+01\n",
      " 4.0900e+01 4.5400e+01 4.5600e+01 4.1500e+01 4.6300e+01 4.6900e+01\n",
      " 3.6000e+01 3.8900e+01 4.1800e+01 4.8600e+01 3.8500e+01 3.3600e+01\n",
      " 2.8900e+01 4.1700e+01 3.9800e+01 2.0300e+01 4.9600e+01 4.7400e+01\n",
      " 5.0900e+01 4.9200e+01 4.4800e+01 3.9300e+01 4.8500e+01 4.6400e+01\n",
      " 5.0300e+01 4.5100e+01 4.9000e+01 4.2400e+01 2.0900e+01 4.6100e+01\n",
      " 5.0500e+01 4.8400e+01 4.5000e+01 4.9400e+01 4.5500e+01 4.4900e+01\n",
      " 3.5700e+01 4.7700e+01 4.4400e+01 3.2900e+01 4.8200e+01 3.8300e+01\n",
      " 3.1800e+01 4.7300e+01 3.4700e+01 3.6200e+01 3.2100e+01 5.1100e+01\n",
      " 2.9100e+01 4.8000e+01 3.7100e+01 4.1000e+01 5.2100e+01 3.4500e+01\n",
      " 3.4400e+01 4.8700e+01 3.5800e+01 3.4900e+01 5.1600e+01 3.3500e+01\n",
      " 5.0800e+01 3.5500e+01 3.6300e+01 4.6700e+01 4.7800e+01 5.1800e+01\n",
      " 3.3700e+01 5.1500e+01 2.4000e+01 2.8600e+01 5.0400e+01 3.6800e+01\n",
      " 3.2000e+01 4.7900e+01 4.9800e+01 5.4300e+01 2.9300e+01 4.9700e+01\n",
      " 5.4400e+01 5.5200e+01 5.4900e+01 3.4100e+01 3.3200e+01 5.1700e+01\n",
      " 3.3000e+01 4.9300e+01 4.9100e+01 5.2300e+01 3.0800e+01 5.3600e+01\n",
      " 3.4800e+01 2.9900e+01 3.2500e+01 3.5100e+01 4.9500e+01 5.2500e+01\n",
      " 5.0700e+01 2.9500e+01 3.1500e+01 5.3500e+01 2.7000e+01 5.0100e+01\n",
      " 3.4600e+01 3.2200e+01 5.1000e+01 3.1300e+01 2.8700e+01 3.0400e+01\n",
      " 2.6000e+01 5.1300e+01 4.8900e+01 3.4300e+01 2.8500e+01 2.8300e+01\n",
      " 3.0200e+01 3.4000e+01 3.3300e+01 3.2400e+01 3.2800e+01 5.1200e+01\n",
      " 5.1900e+01 3.0100e+01 5.0000e+01 2.5200e+01 3.3900e+01 2.7600e+01\n",
      " 2.9700e+01 3.1000e+01 3.3400e+01 3.0700e+01 2.9200e+01 2.8800e+01\n",
      " 2.7700e+01 3.1400e+01 3.0900e+01 3.1200e+01 2.9000e+01 5.4100e+01\n",
      " 5.2800e+01 5.4600e+01 3.1700e+01 9.9999e+04 3.1900e+01 5.3300e+01\n",
      " 5.3100e+01 2.7800e+01 5.2900e+01 3.0600e+01 5.0200e+01 2.6500e+01\n",
      " 5.4800e+01 5.4200e+01 2.9800e+01 5.2700e+01 5.2000e+01 5.2200e+01\n",
      " 2.5300e+01 5.3000e+01 2.7400e+01 5.2400e+01 2.7900e+01 3.1100e+01\n",
      " 2.3600e+01 2.9400e+01 3.0500e+01 2.6700e+01 3.1600e+01 2.6800e+01\n",
      " 5.3200e+01 2.7200e+01 2.2900e+01 2.9600e+01 2.8400e+01 2.4700e+01\n",
      " 5.5500e+01 2.8200e+01 2.8100e+01 2.5700e+01 2.2700e+01 5.2600e+01\n",
      " 2.6200e+01 1.9500e+01 2.3100e+01 5.6400e+01 2.6900e+01 5.3900e+01\n",
      " 2.5500e+01 5.9500e+01 2.4800e+01 2.3800e+01 2.8000e+01 5.3400e+01\n",
      " 2.7100e+01 5.6200e+01 2.0000e+01 2.7300e+01 5.4000e+01 2.1100e+01\n",
      " 2.5000e+01 2.5800e+01 2.4900e+01 2.4300e+01 2.2600e+01 5.4500e+01\n",
      " 2.4200e+01 5.3800e+01 5.5600e+01 2.6600e+01 2.2300e+01 5.5400e+01\n",
      " 5.8300e+01 5.3700e+01 2.6100e+01 5.5700e+01 5.9800e+01 2.7500e+01\n",
      " 2.3400e+01 5.8000e+01 5.6100e+01 2.6300e+01 5.5900e+01 1.8500e+01\n",
      " 2.5100e+01 2.4500e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 45.7 45.2 43.  36.5 39.2 42.3 42.2 46.8 40.7 46.2 44.  42.9 48.8\n",
      " 42.5 44.1 36.9 41.2 43.6 39.5 34.2 42.  35.3 43.4 33.8 39.  44.6 37.7\n",
      " 40.5 35.6 48.1 38.6 37.5 37.9 40.3 40.  38.8 43.8 43.7 43.2 47.6 40.6\n",
      " 43.1 50.6 49.9 38.7 35.2 47.5 43.5 48.3 42.7 47.  35.  47.2 40.8 44.5\n",
      " 41.3 41.4 44.2 39.1 37.4 36.1 39.4 38.2 43.3 33.1 39.9 38.  40.2 41.6\n",
      " 39.7 42.8 35.4 42.6 41.9 45.3 45.9 43.9 38.4 30.3 37.3 39.6 42.1 35.9\n",
      " 40.4 44.7 40.1 45.8 44.3 37.8 36.7 36.4 51.4 46.  37.2 47.1 32.3 46.5\n",
      " 41.1 38.1 36.6 30.  32.7 37.  37.6 32.6 46.6 40.9 45.4 45.6 41.5 46.3\n",
      " 46.9 36.  38.9 41.8 48.6 38.5 33.6 28.9 41.7 39.8 20.3 49.6 47.4 50.9\n",
      " 49.2 44.8 39.3 48.5 46.4 50.3 45.1 49.  42.4 20.9 46.1 50.5 48.4 45.\n",
      " 49.4 45.5 44.9 35.7 47.7 44.4 32.9 48.2 38.3 31.8 47.3 34.7 36.2 32.1\n",
      " 51.1 29.1 48.  37.1 41.  52.1 34.5 34.4 48.7 35.8 34.9 51.6 33.5 50.8\n",
      " 35.5 36.3 46.7 47.8 51.8 33.7 51.5 24.  28.6 50.4 36.8 32.  47.9 49.8\n",
      " 54.3 29.3 49.7 54.4 55.2 54.9 34.1 33.2 51.7 33.  49.3 49.1 52.3 30.8\n",
      " 53.6 34.8 29.9 32.5 35.1 49.5 52.5 50.7 29.5 31.5 53.5 27.  50.1 34.6\n",
      " 32.2 51.  31.3 28.7 30.4 26.  51.3 48.9 34.3 28.5 28.3 30.2 34.  33.3\n",
      " 32.4 32.8 51.2 51.9 30.1 50.  25.2 33.9 27.6 29.7 31.  33.4 30.7 29.2\n",
      " 28.8 27.7 31.4 30.9 31.2 29.  54.1 52.8 54.6 31.7 31.9 53.3 53.1 27.8\n",
      " 52.9 30.6 50.2 26.5 54.8 54.2 29.8 52.7 52.  52.2 25.3 53.  27.4 52.4\n",
      " 27.9 31.1 23.6 29.4 30.5 26.7 31.6 26.8 53.2 27.2 22.9 29.6 28.4 24.7\n",
      " 55.5 28.2 28.1 25.7 22.7 52.6 26.2 19.5 23.1 56.4 26.9 53.9 25.5 59.5\n",
      " 24.8 23.8 28.  53.4 27.1 56.2 20.  27.3 54.  21.1 25.  25.8 24.9 24.3\n",
      " 22.6 54.5 24.2 53.8 55.6 26.6 22.3 55.4 58.3 53.7 26.1 55.7 59.8 27.5\n",
      " 23.4 58.  56.1 26.3 55.9 18.5 25.1 24.5]\n",
      "-----------------------------------------\n",
      "AS1_HCT hematocrit@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 3.6700e+01 3.9900e+01 4.8500e+01 4.6800e+01 3.7300e+01\n",
      " 4.1400e+01 3.6800e+01 3.5600e+01 3.6500e+01 3.8100e+01 4.3100e+01\n",
      " 4.5600e+01 4.3400e+01 4.6900e+01 2.9100e+01 4.0200e+01 4.0100e+01\n",
      " 4.3800e+01 4.2500e+01 3.8800e+01 4.4500e+01 4.8300e+01 4.6600e+01\n",
      " 3.8500e+01 4.1600e+01 4.7200e+01 3.7600e+01 4.2800e+01 4.4000e+01\n",
      " 4.6200e+01 4.9200e+01 4.0900e+01 4.7700e+01 4.0300e+01 4.2600e+01\n",
      " 4.2100e+01 4.8800e+01 3.7900e+01 4.2900e+01 4.1700e+01 4.6000e+01\n",
      " 3.7500e+01 4.6700e+01 4.1000e+01 4.4900e+01 4.0500e+01 4.6400e+01\n",
      " 3.9300e+01 3.9400e+01 4.1100e+01 4.3300e+01 4.5900e+01 3.5000e+01\n",
      " 3.7700e+01 3.5700e+01 3.9100e+01 4.8600e+01 3.5100e+01 3.6300e+01\n",
      " 4.7000e+01 4.9300e+01 4.3700e+01 4.7300e+01 3.8000e+01 3.9700e+01\n",
      " 4.3600e+01 3.7200e+01 4.4200e+01 3.7800e+01 5.4100e+01 4.0400e+01\n",
      " 4.5800e+01 4.1300e+01 3.8600e+01 4.5100e+01 3.5300e+01 3.1200e+01\n",
      " 3.7000e+01 4.2400e+01 3.7400e+01 4.7600e+01 3.8700e+01 4.3500e+01\n",
      " 5.0700e+01 3.6400e+01 4.2700e+01 3.3900e+01 3.5200e+01 3.6200e+01\n",
      " 3.4900e+01 3.6900e+01 4.0600e+01 3.9600e+01 3.2800e+01 4.5300e+01\n",
      " 3.8200e+01 4.5700e+01 4.2200e+01 3.0000e+01 4.2000e+01 5.1500e+01\n",
      " 3.9000e+01 4.8400e+01 3.5500e+01 4.4800e+01 3.7100e+01 4.8000e+01\n",
      " 4.4600e+01 4.0800e+01 3.4400e+01 3.3700e+01 3.9500e+01 4.3900e+01\n",
      " 4.1800e+01 4.6300e+01 3.5800e+01 3.6100e+01 4.2300e+01 5.0000e+01\n",
      " 3.1300e+01 3.4700e+01 4.4400e+01 3.9200e+01 3.8300e+01 4.8700e+01\n",
      " 4.1500e+01 4.8100e+01 4.5200e+01 3.8900e+01 4.7400e+01 4.7100e+01\n",
      " 4.1200e+01 5.4000e+01 5.1400e+01 3.4600e+01 3.3300e+01 3.6000e+01\n",
      " 3.5900e+01 3.8400e+01 4.7900e+01 3.3400e+01 4.5000e+01 4.6100e+01\n",
      " 4.0000e+01 4.3200e+01 4.3000e+01 3.1700e+01 4.4300e+01 2.5400e+01\n",
      " 5.0300e+01 2.9700e+01 4.5500e+01 3.4200e+01 3.0300e+01 3.2900e+01\n",
      " 3.2500e+01 4.4700e+01 2.7600e+01 3.9800e+01 4.6500e+01 4.1900e+01\n",
      " 4.9100e+01 5.0100e+01 4.0700e+01 4.9600e+01 3.4000e+01 3.6600e+01\n",
      " 3.4800e+01 5.0500e+01 5.1300e+01 2.6500e+01 4.9000e+01 4.8900e+01\n",
      " 3.4100e+01 4.4100e+01 3.5400e+01 3.1000e+01 4.9900e+01 5.0600e+01\n",
      " 4.9700e+01 3.4300e+01 3.3800e+01 4.7800e+01 5.0400e+01 3.2700e+01\n",
      " 4.9800e+01 5.3900e+01 2.7000e+01 3.1900e+01 3.1800e+01 4.7500e+01\n",
      " 3.1400e+01 5.5700e+01 4.8200e+01 2.9500e+01 2.8100e+01 2.9900e+01\n",
      " 3.3000e+01 3.0600e+01 3.0800e+01 3.4500e+01 4.9400e+01 3.0100e+01\n",
      " 5.8000e+01 4.5400e+01 5.6600e+01 2.4400e+01 2.1500e+01 5.1200e+01\n",
      " 2.1100e+01 1.9600e+01 2.8800e+01 5.0800e+01 5.2200e+01 3.2000e+01\n",
      " 3.1500e+01 2.9300e+01 2.1400e+01 2.8500e+01 2.0900e+01 2.5200e+01\n",
      " 5.3000e+01 2.6700e+01 2.5800e+01 3.3600e+01 2.9600e+01 3.2400e+01\n",
      " 2.5500e+01 5.2000e+01 2.6100e+01 2.2900e+01 5.6100e+01 5.1000e+01\n",
      " 4.9500e+01 5.0900e+01 5.1100e+01 5.3500e+01 5.1700e+01 3.2600e+01\n",
      " 3.1600e+01 3.0700e+01 5.0200e+01 2.7900e+01 5.2800e+01 2.5700e+01\n",
      " 2.8000e+01 2.7500e+01 3.3100e+01 2.7200e+01 3.0900e+01 3.2200e+01\n",
      " 3.0500e+01 2.7400e+01 5.2700e+01 5.4900e+01 5.2900e+01 5.2100e+01\n",
      " 5.1900e+01 2.9200e+01 2.2500e+01 3.3500e+01 2.9800e+01 3.3200e+01\n",
      " 2.3100e+01 2.7700e+01 2.8600e+01 2.8900e+01 5.1800e+01 3.2100e+01\n",
      " 5.2500e+01 3.0200e+01 2.8400e+01 5.8700e+01 2.3600e+01 1.4000e+01\n",
      " 2.2000e+01 2.3200e+01 5.4400e+01 5.3200e+01 3.2300e+01 2.3700e+01\n",
      " 5.2300e+01 5.3100e+01 9.9999e+04 5.1600e+01 2.7300e+01 5.5100e+01\n",
      " 5.5500e+01 5.2600e+01 2.4300e+01 2.8700e+01 5.3800e+01 3.1100e+01\n",
      " 2.1800e+01 2.9400e+01 3.0400e+01 2.5000e+01 2.9000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 36.7 39.9 48.5 46.8 37.3 41.4 36.8 35.6 36.5 38.1 43.1 45.6 43.4\n",
      " 46.9 29.1 40.2 40.1 43.8 42.5 38.8 44.5 48.3 46.6 38.5 41.6 47.2 37.6\n",
      " 42.8 44.  46.2 49.2 40.9 47.7 40.3 42.6 42.1 48.8 37.9 42.9 41.7 46.\n",
      " 37.5 46.7 41.  44.9 40.5 46.4 39.3 39.4 41.1 43.3 45.9 35.  37.7 35.7\n",
      " 39.1 48.6 35.1 36.3 47.  49.3 43.7 47.3 38.  39.7 43.6 37.2 44.2 37.8\n",
      " 54.1 40.4 45.8 41.3 38.6 45.1 35.3 31.2 37.  42.4 37.4 47.6 38.7 43.5\n",
      " 50.7 36.4 42.7 33.9 35.2 36.2 34.9 36.9 40.6 39.6 32.8 45.3 38.2 45.7\n",
      " 42.2 30.  42.  51.5 39.  48.4 35.5 44.8 37.1 48.  44.6 40.8 34.4 33.7\n",
      " 39.5 43.9 41.8 46.3 35.8 36.1 42.3 50.  31.3 34.7 44.4 39.2 38.3 48.7\n",
      " 41.5 48.1 45.2 38.9 47.4 47.1 41.2 54.  51.4 34.6 33.3 36.  35.9 38.4\n",
      " 47.9 33.4 45.  46.1 40.  43.2 43.  31.7 44.3 25.4 50.3 29.7 45.5 34.2\n",
      " 30.3 32.9 32.5 44.7 27.6 39.8 46.5 41.9 49.1 50.1 40.7 49.6 34.  36.6\n",
      " 34.8 50.5 51.3 26.5 49.  48.9 34.1 44.1 35.4 31.  49.9 50.6 49.7 34.3\n",
      " 33.8 47.8 50.4 32.7 49.8 53.9 27.  31.9 31.8 47.5 31.4 55.7 48.2 29.5\n",
      " 28.1 29.9 33.  30.6 30.8 34.5 49.4 30.1 58.  45.4 56.6 24.4 21.5 51.2\n",
      " 21.1 19.6 28.8 50.8 52.2 32.  31.5 29.3 21.4 28.5 20.9 25.2 53.  26.7\n",
      " 25.8 33.6 29.6 32.4 25.5 52.  26.1 22.9 56.1 51.  49.5 50.9 51.1 53.5\n",
      " 51.7 32.6 31.6 30.7 50.2 27.9 52.8 25.7 28.  27.5 33.1 27.2 30.9 32.2\n",
      " 30.5 27.4 52.7 54.9 52.9 52.1 51.9 29.2 22.5 33.5 29.8 33.2 23.1 27.7\n",
      " 28.6 28.9 51.8 32.1 52.5 30.2 28.4 58.7 23.6 14.  22.  23.2 54.4 53.2\n",
      " 32.3 23.7 52.3 53.1 51.6 27.3 55.1 55.5 52.6 24.3 28.7 53.8 31.1 21.8\n",
      " 29.4 30.4 25.  29. ]\n",
      "-----------------------------------------\n",
      "NC1_HB hemoglobin@(x!=66666)&(x!=77777)&(x!=99999)@x [1.2700e+01 1.5700e+01 1.3300e+01 1.2900e+01 1.3600e+01 1.4200e+01\n",
      " 1.4500e+01 1.2200e+01 1.4700e+01 1.3100e+01 1.0900e+01 1.4400e+01\n",
      " 1.5100e+01 1.5500e+01 1.1800e+01 1.3900e+01 1.3200e+01 1.3500e+01\n",
      " 1.2400e+01 1.4800e+01 1.5000e+01 1.6300e+01 1.5600e+01 1.3000e+01\n",
      " 1.3800e+01 1.4300e+01 1.6400e+01 4.6000e+00 1.6200e+01 1.4000e+01\n",
      " 1.2800e+01 1.2500e+01 1.1300e+01 1.1400e+01 1.4600e+01 1.5400e+01\n",
      " 1.5900e+01 1.1500e+01 1.2300e+01 1.3700e+01 1.5800e+01 9.7000e+00\n",
      " 1.1900e+01 1.6000e+01 1.6700e+01 1.2100e+01 1.6500e+01 1.0100e+01\n",
      " 1.0500e+01 1.4900e+01 1.4100e+01 1.2000e+01 1.5200e+01 1.3400e+01\n",
      " 7.2000e+00 1.2600e+01 1.5300e+01 1.0600e+01 1.6900e+01 1.1700e+01\n",
      " 1.1600e+01 1.1000e+01 1.1100e+01 1.6100e+01 1.7000e+01 1.6600e+01\n",
      " 1.7100e+01 1.0700e+01 9.5000e+00 1.7300e+01 1.0000e+01 9.6000e+00\n",
      " 1.6800e+01 1.7600e+01 1.1200e+01 8.5000e+00 1.0800e+01 8.9000e+00\n",
      " 1.7500e+01 1.0300e+01 1.0200e+01 9.2000e+00 9.8000e+00 1.8200e+01\n",
      " 1.7200e+01 1.9000e+01 8.0000e+00 9.4000e+00 1.8400e+01 7.9000e+00\n",
      " 9.9000e+00 8.1000e+00 8.4000e+00 1.7400e+01 1.8300e+01 8.7000e+00\n",
      " 1.8100e+01 7.4000e+00 1.7700e+01 7.3000e+00 1.0400e+01 8.8000e+00\n",
      " 8.3000e+00 9.0000e+00 7.1000e+00 1.7800e+01        nan 1.7900e+01\n",
      " 1.8500e+01 1.9200e+01 1.8600e+01 7.5000e+00 6.4000e+00 1.9300e+01\n",
      " 9.9999e+04 9.3000e+00 1.8000e+01 8.2000e+00 8.6000e+00 5.9000e+00\n",
      " 7.7000e+00 7.8000e+00 4.2000e+00 9.1000e+00 7.6000e+00 6.5000e+00\n",
      " 5.5000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [12.7 15.7 13.3 12.9 13.6 14.2 14.5 12.2 14.7 13.1 10.9 14.4 15.1 15.5\n",
      " 11.8 13.9 13.2 13.5 12.4 14.8 15.  16.3 15.6 13.  13.8 14.3 16.4  4.6\n",
      " 16.2 14.  12.8 12.5 11.3 11.4 14.6 15.4 15.9 11.5 12.3 13.7 15.8  9.7\n",
      " 11.9 16.  16.7 12.1 16.5 10.1 10.5 14.9 14.1 12.  15.2 13.4  7.2 12.6\n",
      " 15.3 10.6 16.9 11.7 11.6 11.  11.1 16.1 17.  16.6 17.1 10.7  9.5 17.3\n",
      " 10.   9.6 16.8 17.6 11.2  8.5 10.8  8.9 17.5 10.3 10.2  9.2  9.8 18.2\n",
      " 17.2 19.   8.   9.4 18.4  7.9  9.9  8.1  8.4 17.4 18.3  8.7 18.1  7.4\n",
      " 17.7  7.3 10.4  8.8  8.3  9.   7.1 17.8  nan 17.9 18.5 19.2 18.6  7.5\n",
      "  6.4 19.3  9.3 18.   8.2  8.6  5.9  7.7  7.8  4.2  9.1  7.6  6.5  5.5]\n",
      "-----------------------------------------\n",
      "CT1_HB hemoglobin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.2900e+01 1.5700e+01 1.5300e+01 1.3000e+01 1.4300e+01\n",
      " 1.1700e+01 1.2400e+01 1.4000e+01 1.5500e+01 1.6500e+01 1.3800e+01\n",
      " 1.5200e+01 1.3400e+01 1.4800e+01 1.5100e+01 1.5600e+01 1.6700e+01\n",
      " 1.3900e+01 1.5000e+01 1.2300e+01 1.1100e+01 1.5400e+01 1.4100e+01\n",
      " 1.2700e+01 1.2100e+01 1.3600e+01 1.2000e+01 1.3500e+01 9.9999e+04\n",
      " 1.1000e+01 1.4700e+01 1.1200e+01 1.2600e+01 1.4900e+01 1.2800e+01\n",
      " 1.2200e+01 1.1500e+01 1.6300e+01 1.3100e+01 1.2500e+01 1.3700e+01\n",
      " 1.6800e+01 1.7300e+01 1.1800e+01 1.4400e+01 1.6400e+01 1.3300e+01\n",
      " 1.5900e+01 1.6000e+01 1.1300e+01 1.6100e+01 1.5800e+01 1.4500e+01\n",
      " 1.4600e+01 7.7000e+00 1.0300e+01 1.0600e+01 1.3200e+01 8.9000e+00\n",
      " 1.1900e+01 1.7000e+01 1.6200e+01 1.4200e+01 9.9000e+00 9.8000e+00\n",
      " 1.7200e+01 9.1000e+00 8.8000e+00 9.6000e+00 1.6900e+01 1.1400e+01\n",
      " 1.6600e+01 9.7000e+00 1.0400e+01 8.4000e+00 5.8000e+00 1.7600e+01\n",
      " 5.5000e+00 1.0700e+01 1.1600e+01 1.0500e+01 1.0900e+01 8.5000e+00\n",
      " 1.7700e+01 1.7900e+01 1.0800e+01 1.7500e+01 1.7400e+01 9.2000e+00\n",
      " 1.7100e+01 9.4000e+00 1.8200e+01 1.8400e+01 1.8300e+01 1.8800e+01\n",
      " 1.8000e+01 8.6000e+00 1.7800e+01 9.0000e+00 9.5000e+00 1.8100e+01\n",
      " 7.6000e+00 1.0100e+01 8.2000e+00 9.3000e+00 7.3000e+00 8.1000e+00\n",
      " 1.0200e+01 8.3000e+00 6.4000e+00 8.7000e+00 7.9000e+00 1.0000e+01\n",
      " 1.9000e+01 7.8000e+00 7.4000e+00 1.8600e+01 1.8700e+01 1.5000e+00\n",
      " 7.2000e+00 6.3000e+00 1.8500e+01 1.9300e+01 1.9100e+01 6.7000e+00\n",
      " 8.0000e+00 6.5000e+00 7.5000e+00 6.1000e+00 1.9700e+01 1.9400e+01\n",
      " 1.2000e+00 2.2100e+01 1.8900e+01 6.6000e+00 2.2000e+01 5.7000e+00\n",
      " 5.6000e+00 2.1100e+01 1.9800e+01 2.0500e+01 7.0000e+00 6.2000e+00\n",
      " 2.2300e+01 6.8000e+00 2.0800e+01 6.9000e+00 1.9600e+01 2.0700e+01\n",
      " 1.9200e+01 2.2500e+01 5.2000e+00 1.9500e+01 7.1000e+00 1.9900e+01\n",
      " 2.0900e+01 2.0000e+01 2.0400e+01 1.0000e+00 2.1600e+01 2.0300e+01\n",
      " 4.9000e+00 6.0000e+00 2.0600e+01 2.0200e+01 5.3000e+00 5.4000e+00\n",
      " 4.8000e+00]\n",
      "# of filtered=1 before:  1\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 12.9 15.7 15.3 13.  14.3 11.7 12.4 14.  15.5 16.5 13.8 15.2 13.4\n",
      " 14.8 15.1 15.6 16.7 13.9 15.  12.3 11.1 15.4 14.1 12.7 12.1 13.6 12.\n",
      " 13.5 11.  14.7 11.2 12.6 14.9 12.8 12.2 11.5 16.3 13.1 12.5 13.7 16.8\n",
      " 17.3 11.8 14.4 16.4 13.3 15.9 16.  11.3 16.1 15.8 14.5 14.6  7.7 10.3\n",
      " 10.6 13.2  8.9 11.9 17.  16.2 14.2  9.9  9.8 17.2  9.1  8.8  9.6 16.9\n",
      " 11.4 16.6  9.7 10.4  8.4  5.8 17.6  5.5 10.7 11.6 10.5 10.9  8.5 17.7\n",
      " 17.9 10.8 17.5 17.4  9.2 17.1  9.4 18.2 18.4 18.3 18.8 18.   8.6 17.8\n",
      "  9.   9.5 18.1  7.6 10.1  8.2  9.3  7.3  8.1 10.2  8.3  6.4  8.7  7.9\n",
      " 10.  19.   7.8  7.4 18.6 18.7  1.5  7.2  6.3 18.5 19.3 19.1  6.7  8.\n",
      "  6.5  7.5  6.1 19.7 19.4  1.2 22.1 18.9  6.6 22.   5.7  5.6 21.1 19.8\n",
      " 20.5  7.   6.2 22.3  6.8 20.8  6.9 19.6 20.7 19.2 22.5  5.2 19.5  7.1\n",
      " 19.9 20.9 20.  20.4  1.  21.6 20.3  4.9  6.  20.6 20.2  5.3  5.4  4.8]\n",
      "-----------------------------------------\n",
      "AS1_HB hemoglobin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.2000e+01 1.2500e+01 1.5800e+01 1.5900e+01 1.1300e+01\n",
      " 1.3700e+01 1.2700e+01 1.1900e+01 1.2800e+01 1.4200e+01 1.5400e+01\n",
      " 1.6000e+01 9.0000e+00 1.3300e+01 1.5000e+01 1.4500e+01 1.2900e+01\n",
      " 1.4700e+01 1.6400e+01 1.5200e+01 1.3200e+01 1.4300e+01 1.6300e+01\n",
      " 1.3800e+01 1.4000e+01 1.5600e+01 1.6200e+01 1.3100e+01 1.2600e+01\n",
      " 1.4100e+01 1.2400e+01 1.3500e+01 1.5700e+01 1.2300e+01 1.5500e+01\n",
      " 1.4600e+01 1.3400e+01 1.4900e+01 1.4800e+01 1.3000e+01 1.0600e+01\n",
      " 1.1600e+01 1.6700e+01 1.6500e+01 1.1100e+01 1.1000e+01 1.3900e+01\n",
      " 1.5300e+01 1.1400e+01 1.5100e+01 1.2200e+01 1.7300e+01 1.3600e+01\n",
      " 9.8000e+00 1.6600e+01 1.1700e+01 1.2100e+01 1.1800e+01 1.0200e+01\n",
      " 1.4400e+01 1.6800e+01 1.0700e+01 1.6100e+01 1.1200e+01 1.1500e+01\n",
      " 1.8400e+01 1.7000e+01 1.0300e+01 7.3000e+00 9.6000e+00 9.5000e+00\n",
      " 1.0500e+01 8.8000e+00 1.0400e+01 8.0000e+00 1.0900e+01 9.3000e+00\n",
      " 1.0800e+01 1.7200e+01 1.8100e+01 9.2000e+00 1.0100e+01 9.7000e+00\n",
      " 1.8600e+01 9.4000e+00 1.0000e+01 1.8900e+01 1.7100e+01 6.9000e+00\n",
      " 5.8000e+00 7.1000e+00 6.4000e+00 8.6000e+00 8.3000e+00 1.6900e+01\n",
      " 9.1000e+00 1.7500e+01 6.7000e+00 8.4000e+00 5.6000e+00 7.6000e+00\n",
      " 7.5000e+00 8.5000e+00 8.1000e+00 9.9000e+00 7.7000e+00 1.7900e+01\n",
      " 1.7700e+01 1.7400e+01 7.8000e+00 8.2000e+00 8.9000e+00 7.9000e+00\n",
      " 7.0000e+00 1.7600e+01 6.6000e+00 3.7000e+00 7.4000e+00 1.8000e+01\n",
      " 9.9999e+04 1.7800e+01 1.9500e+01 8.7000e+00 6.0000e+00 5.7000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 12.  12.5 15.8 15.9 11.3 13.7 12.7 11.9 12.8 14.2 15.4 16.   9.\n",
      " 13.3 15.  14.5 12.9 14.7 16.4 15.2 13.2 14.3 16.3 13.8 14.  15.6 16.2\n",
      " 13.1 12.6 14.1 12.4 13.5 15.7 12.3 15.5 14.6 13.4 14.9 14.8 13.  10.6\n",
      " 11.6 16.7 16.5 11.1 11.  13.9 15.3 11.4 15.1 12.2 17.3 13.6  9.8 16.6\n",
      " 11.7 12.1 11.8 10.2 14.4 16.8 10.7 16.1 11.2 11.5 18.4 17.  10.3  7.3\n",
      "  9.6  9.5 10.5  8.8 10.4  8.  10.9  9.3 10.8 17.2 18.1  9.2 10.1  9.7\n",
      " 18.6  9.4 10.  18.9 17.1  6.9  5.8  7.1  6.4  8.6  8.3 16.9  9.1 17.5\n",
      "  6.7  8.4  5.6  7.6  7.5  8.5  8.1  9.9  7.7 17.9 17.7 17.4  7.8  8.2\n",
      "  8.9  7.9  7.  17.6  6.6  3.7  7.4 18.  17.8 19.5  8.7  6.   5.7]\n",
      "-----------------------------------------\n",
      "NC1_PLAT platelet@(x!=66666)&(x!=77777)&(x!=99999)@x [2.1700e+02 2.2300e+02 2.7000e+02 2.2900e+02 2.9400e+02 3.2500e+02\n",
      " 2.7900e+02 2.8200e+02 1.8000e+01 2.6900e+02 3.5700e+02 3.4600e+02\n",
      " 2.2200e+02 1.9400e+02 2.6500e+02 1.6500e+02 2.0000e+02 2.9500e+02\n",
      " 2.5200e+02 2.0500e+02 4.1900e+02 2.5300e+02 2.5400e+02 2.8100e+02\n",
      " 2.6000e+02 3.0800e+02 2.3300e+02 2.4600e+02 6.6666e+04 2.1600e+02\n",
      " 3.1500e+02 2.6600e+02 2.5100e+02 2.4700e+02 2.8800e+02 2.7500e+02\n",
      " 1.1500e+02 4.1700e+02 3.7700e+02 3.0400e+02 2.3400e+02 3.6900e+02\n",
      " 2.3000e+02 2.2600e+02 2.0400e+02 3.1000e+02 3.1400e+02 3.0000e+02\n",
      " 3.6000e+02 1.9700e+02 2.1900e+02 3.9500e+02 2.9000e+02 2.2800e+02\n",
      " 2.1800e+02 2.7200e+02 2.4100e+02 3.4400e+02 2.3200e+02 2.0100e+02\n",
      " 4.7100e+02 3.1900e+02 2.7800e+02 3.2900e+02 3.3400e+02 1.9800e+02\n",
      " 3.1300e+02 3.4300e+02 3.4500e+02 1.8500e+02 1.5200e+02 2.1300e+02\n",
      " 4.1100e+02 3.0500e+02 4.0100e+02 2.5800e+02 3.3800e+02 2.7400e+02\n",
      " 3.4000e+02 1.9200e+02 2.8300e+02 2.8000e+02 2.9600e+02 1.7600e+02\n",
      " 3.7800e+02 2.1500e+02 2.2000e+02 3.3200e+02 7.8000e+01 3.7300e+02\n",
      " 3.2600e+02 2.6700e+02 3.1600e+02 3.9400e+02 2.8900e+02 2.7300e+02\n",
      " 2.4200e+02 4.1500e+02 2.4000e+02 3.7200e+02 2.9700e+02 2.0700e+02\n",
      " 2.3900e+02 3.1700e+02 2.5900e+02 2.9900e+02 3.2800e+02 2.3100e+02\n",
      " 3.1100e+02 2.0900e+02 2.1400e+02 2.8500e+02 2.9200e+02 2.4300e+02\n",
      " 8.1000e+01 3.0900e+02 2.2400e+02 3.2700e+02 1.8900e+02 3.7600e+02\n",
      " 2.4500e+02 2.9300e+02 3.3900e+02 3.5000e+02 1.8800e+02 1.8700e+02\n",
      " 1.5600e+02 1.8100e+02 2.4800e+02 2.8600e+02 2.8400e+02 3.1200e+02\n",
      " 2.9100e+02 1.7000e+02 2.6200e+02 2.7700e+02 4.1000e+02 2.5500e+02\n",
      " 2.3600e+02 2.3500e+02 1.6700e+02 2.3800e+02 3.3600e+02 3.1800e+02\n",
      " 2.4400e+02 3.6100e+02 2.7100e+02 6.4000e+01 2.5700e+02 3.0200e+02\n",
      " 1.1900e+02 1.9600e+02 2.1100e+02 3.8300e+02 1.9300e+02 2.9800e+02\n",
      " 2.8700e+02 2.0300e+02 3.5400e+02 3.0600e+02 2.0600e+02 1.8600e+02\n",
      " 1.7800e+02 2.6400e+02 2.6100e+02 1.3700e+02 2.3700e+02 3.6500e+02\n",
      " 4.9700e+02 4.0200e+02 3.2100e+02 3.5500e+02 2.4900e+02 4.4300e+02\n",
      " 3.7900e+02 2.2700e+02 3.5100e+02 1.6800e+02 3.7400e+02 2.6800e+02\n",
      " 3.4800e+02 1.2900e+02 3.6400e+02 1.3900e+02 3.3000e+02 2.5600e+02\n",
      " 2.1200e+02 3.3300e+02 2.6300e+02 1.6600e+02 1.1400e+02 3.0700e+02\n",
      " 1.9100e+02 3.4200e+02 4.0600e+02 2.2100e+02 3.6300e+02 2.7600e+02\n",
      " 3.2000e+02 1.6400e+02 1.9900e+02 3.4900e+02 1.3200e+02 1.2200e+02\n",
      " 1.0000e+02 1.5700e+02 1.8300e+02 4.3700e+02 3.4100e+02 1.7900e+02\n",
      " 1.4700e+02 3.8500e+02 2.1000e+02 4.1300e+02 3.0300e+02 3.9900e+02\n",
      " 3.8900e+02 3.6700e+02 1.7400e+02 3.5600e+02 1.7700e+02 4.5200e+02\n",
      " 2.5000e+02 1.5300e+02 3.9100e+02 3.4700e+02 1.6300e+02 1.7500e+02\n",
      " 1.2500e+02 3.2200e+02 1.5400e+02 1.7200e+02 1.7300e+02 3.2300e+02\n",
      " 3.7000e+02 4.0000e+02 3.3100e+02 1.8000e+02 1.9000e+02 5.0700e+02\n",
      " 1.4000e+02 3.5800e+02 3.7500e+02 3.0100e+02 1.7100e+02 1.5100e+02\n",
      " 1.2400e+02 3.2400e+02 3.8700e+02 3.6600e+02 1.8200e+02 2.2500e+02\n",
      " 1.4900e+02 3.8600e+02 5.7800e+02 1.6000e+02 1.1700e+02 4.4100e+02\n",
      " 4.9300e+02 3.5900e+02 1.2600e+02 4.2200e+02 3.6200e+02 4.2700e+02\n",
      " 3.8200e+02 3.3700e+02 3.3500e+02 3.5300e+02 1.2300e+02 1.6900e+02\n",
      " 1.8400e+02 1.6100e+02 1.4600e+02 2.0800e+02 1.5000e+02 5.4200e+02\n",
      " 3.6800e+02 4.6800e+02 4.0700e+02 1.3600e+02 4.0500e+02 3.9800e+02\n",
      " 1.4800e+02 5.0600e+02 4.2500e+02 1.4500e+02 8.3000e+01 1.6200e+02\n",
      " 1.9500e+02 3.9700e+02 1.5500e+02 4.3900e+02 3.9200e+02 1.1100e+02\n",
      " 5.1800e+02 4.3000e+02 5.5300e+02 1.4100e+02 1.5900e+02 2.0200e+02\n",
      " 4.8500e+02 3.8000e+02 3.9300e+02 1.3100e+02 4.6400e+02 1.4400e+02\n",
      " 3.8400e+02 1.0800e+02 4.2100e+02 4.2400e+02 4.4600e+02 3.9000e+02\n",
      " 5.1900e+02 4.5600e+02 5.2500e+02 2.5000e+01 2.6000e+01 9.7000e+01\n",
      " 3.5200e+02 3.7100e+02 3.8100e+02 4.3500e+02 4.3200e+02 1.5800e+02\n",
      " 8.2000e+01 1.2000e+02 1.4200e+02 1.1800e+02 8.0000e+01 9.5000e+01\n",
      " 4.3300e+02 9.3000e+01 8.6000e+01 4.4500e+02 4.2800e+02 5.5000e+01\n",
      " 4.9000e+01 4.0300e+02 3.9600e+02 4.5100e+02 7.5000e+01 4.4700e+02\n",
      " 1.1200e+02 5.0200e+02 4.1800e+02 1.3400e+02 1.2800e+02 5.0900e+02\n",
      " 4.7300e+02 5.5600e+02 6.5000e+01 4.0800e+02 8.7000e+01 4.8400e+02\n",
      " 4.1200e+02 4.3600e+02 1.0700e+02 4.1400e+02 1.4300e+02 4.0400e+02\n",
      " 1.1300e+02 5.3000e+01 5.1500e+02 5.8400e+02 1.0900e+02 4.5000e+02\n",
      " 9.9000e+01 1.1600e+02 1.0100e+02 1.3500e+02 3.8800e+02 4.2900e+02\n",
      " 4.2000e+02 9.0000e+01 4.3400e+02 1.2700e+02 5.5500e+02 4.7900e+02\n",
      " 5.1200e+02 4.5300e+02 1.3000e+02 1.3300e+02 1.1000e+02 6.8100e+02\n",
      "        nan 6.6000e+01 9.6000e+01 5.2300e+02 5.4400e+02 4.2300e+02\n",
      " 4.4800e+02 4.7400e+02 4.4200e+02 1.0500e+02 4.1600e+02 4.8800e+02\n",
      " 4.7200e+02 1.0200e+02 5.8000e+02 1.3800e+02 6.2200e+02 6.5400e+02\n",
      " 4.6200e+02 9.9999e+04 9.2000e+01 5.2900e+02 1.0400e+02 1.2100e+02\n",
      " 1.0300e+02 6.2000e+01 3.1000e+01 5.3200e+02 4.3100e+02 4.3800e+02\n",
      " 4.6300e+02 8.8000e+01 7.6000e+01 4.0900e+02 4.7000e+01 7.9000e+01\n",
      " 4.5700e+02 4.8000e+01 4.8700e+02 4.9800e+02 4.4900e+02 5.3000e+02\n",
      " 1.0000e+01 5.4300e+02 8.4000e+01 5.2100e+02 5.3900e+02 5.1000e+01\n",
      " 4.5900e+02 5.3500e+02 4.5800e+02 8.4800e+02 5.4000e+01 6.7600e+02\n",
      " 1.0600e+02 1.5000e+01 4.6900e+02 4.8000e+02 7.7000e+01 6.9000e+01\n",
      " 4.8200e+02 4.7000e+02 7.0000e+01 7.1000e+01 4.6700e+02 4.4000e+02\n",
      " 6.3000e+01 5.6100e+02 5.4000e+02 4.5500e+02 7.4000e+01 4.4400e+02\n",
      " 4.7700e+02 4.2600e+02 9.1000e+01 8.5000e+01 7.2000e+01 6.7000e+01\n",
      " 8.9000e+01 6.0700e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [217. 223. 270. 229. 294. 325. 279. 282.  18. 269. 357. 346. 222. 194.\n",
      " 265. 165. 200. 295. 252. 205. 419. 253. 254. 281. 260. 308. 233. 246.\n",
      "  nan 216. 315. 266. 251. 247. 288. 275. 115. 417. 377. 304. 234. 369.\n",
      " 230. 226. 204. 310. 314. 300. 360. 197. 219. 395. 290. 228. 218. 272.\n",
      " 241. 344. 232. 201. 471. 319. 278. 329. 334. 198. 313. 343. 345. 185.\n",
      " 152. 213. 411. 305. 401. 258. 338. 274. 340. 192. 283. 280. 296. 176.\n",
      " 378. 215. 220. 332.  78. 373. 326. 267. 316. 394. 289. 273. 242. 415.\n",
      " 240. 372. 297. 207. 239. 317. 259. 299. 328. 231. 311. 209. 214. 285.\n",
      " 292. 243.  81. 309. 224. 327. 189. 376. 245. 293. 339. 350. 188. 187.\n",
      " 156. 181. 248. 286. 284. 312. 291. 170. 262. 277. 410. 255. 236. 235.\n",
      " 167. 238. 336. 318. 244. 361. 271.  64. 257. 302. 119. 196. 211. 383.\n",
      " 193. 298. 287. 203. 354. 306. 206. 186. 178. 264. 261. 137. 237. 365.\n",
      " 497. 402. 321. 355. 249. 443. 379. 227. 351. 168. 374. 268. 348. 129.\n",
      " 364. 139. 330. 256. 212. 333. 263. 166. 114. 307. 191. 342. 406. 221.\n",
      " 363. 276. 320. 164. 199. 349. 132. 122. 100. 157. 183. 437. 341. 179.\n",
      " 147. 385. 210. 413. 303. 399. 389. 367. 174. 356. 177. 452. 250. 153.\n",
      " 391. 347. 163. 175. 125. 322. 154. 172. 173. 323. 370. 400. 331. 180.\n",
      " 190. 507. 140. 358. 375. 301. 171. 151. 124. 324. 387. 366. 182. 225.\n",
      " 149. 386. 578. 160. 117. 441. 493. 359. 126. 422. 362. 427. 382. 337.\n",
      " 335. 353. 123. 169. 184. 161. 146. 208. 150. 542. 368. 468. 407. 136.\n",
      " 405. 398. 148. 506. 425. 145.  83. 162. 195. 397. 155. 439. 392. 111.\n",
      " 518. 430. 553. 141. 159. 202. 485. 380. 393. 131. 464. 144. 384. 108.\n",
      " 421. 424. 446. 390. 519. 456. 525.  25.  26.  97. 352. 371. 381. 435.\n",
      " 432. 158.  82. 120. 142. 118.  80.  95. 433.  93.  86. 445. 428.  55.\n",
      "  49. 403. 396. 451.  75. 447. 112. 502. 418. 134. 128. 509. 473. 556.\n",
      "  65. 408.  87. 484. 412. 436. 107. 414. 143. 404. 113.  53. 515. 584.\n",
      " 109. 450.  99. 116. 101. 135. 388. 429. 420.  90. 434. 127. 555. 479.\n",
      " 512. 453. 130. 133. 110. 681.  66.  96. 523. 544. 423. 448. 474. 442.\n",
      " 105. 416. 488. 472. 102. 580. 138. 622. 654. 462.  92. 529. 104. 121.\n",
      " 103.  62.  31. 532. 431. 438. 463.  88.  76. 409.  47.  79. 457.  48.\n",
      " 487. 498. 449. 530.  10. 543.  84. 521. 539.  51. 459. 535. 458. 848.\n",
      "  54. 676. 106.  15. 469. 480.  77.  69. 482. 470.  70.  71. 467. 440.\n",
      "  63. 561. 540. 455.  74. 444. 477. 426.  91.  85.  72.  67.  89. 607.]\n",
      "-----------------------------------------\n",
      "CT1_PLAT platelet@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 2.6000e+02 1.9400e+02 2.9600e+02 2.9400e+02\n",
      " 3.5300e+02 2.7400e+02 2.5200e+02 1.8100e+02 3.0600e+02 3.4400e+02\n",
      " 2.0700e+02 2.1100e+02 3.2300e+02 2.4000e+02 2.6600e+02 1.5700e+02\n",
      " 2.0200e+02 2.6900e+02 2.4200e+02 1.4200e+02 2.5900e+02 2.2800e+02\n",
      " 3.2100e+02 2.0600e+02 2.4500e+02 2.2100e+02 1.3100e+02 2.3800e+02\n",
      " 2.4800e+02 2.1900e+02 4.3900e+02 2.4700e+02 3.1900e+02 3.0400e+02\n",
      " 2.7100e+02 2.3100e+02 2.5800e+02 2.3600e+02 2.0400e+02 1.8200e+02\n",
      " 4.2800e+02 2.0800e+02 2.8100e+02 1.6900e+02 1.9100e+02 2.0000e+02\n",
      " 2.6400e+02 1.5300e+02 2.9300e+02 1.7000e+02 2.5700e+02 2.8200e+02\n",
      " 2.4400e+02 2.8000e+02 2.1500e+02 2.9100e+02 3.1700e+02 2.9900e+02\n",
      " 4.0600e+02 1.9200e+02 2.2000e+02 2.0100e+02 1.8000e+02 2.5500e+02\n",
      " 1.8400e+02 2.3500e+02 4.1900e+02 1.5600e+02 3.4100e+02 2.7300e+02\n",
      " 3.3400e+02 2.3400e+02 2.2700e+02 2.0500e+02 2.1300e+02 2.8700e+02\n",
      " 3.7400e+02 1.5000e+02 3.7900e+02 4.8300e+02 2.6500e+02 3.5000e+02\n",
      " 2.7800e+02 2.1400e+02 1.9700e+02 2.8500e+02 2.4300e+02 2.4600e+02\n",
      " 2.2600e+02 3.0300e+02 2.8300e+02 1.9300e+02 1.9000e+02 2.9000e+02\n",
      " 1.4500e+02 2.5300e+02 2.6300e+02 3.1500e+02 3.2800e+02 2.7500e+02\n",
      " 2.3200e+02 3.9200e+02 2.2200e+02 3.3600e+02 2.5600e+02 2.7700e+02\n",
      " 2.3900e+02 3.0200e+02 2.1200e+02 3.9800e+02 2.2900e+02 1.8800e+02\n",
      " 3.7300e+02 2.7000e+02 2.0300e+02 1.6000e+02 3.1600e+02 2.5000e+02\n",
      " 2.4100e+02 2.8800e+02 2.8900e+02 3.4500e+02 3.0100e+02 3.6300e+02\n",
      " 3.9300e+02 3.1400e+02 1.9900e+02 2.1800e+02 2.3000e+02 1.7500e+02\n",
      " 3.2900e+02 2.2500e+02 1.6700e+02 2.9500e+02 1.1500e+02 2.1700e+02\n",
      " 1.6600e+02 1.8700e+02 2.5400e+02 3.6900e+02 3.8000e+02 3.4000e+02\n",
      " 3.5600e+02 5.0000e+01 3.0700e+02 2.9800e+02 2.8400e+02 3.0000e+02\n",
      " 1.9500e+02 3.1200e+02 3.3100e+02 2.2400e+02 3.1100e+02 2.2300e+02\n",
      " 1.6100e+02 3.4600e+02 2.9200e+02 3.9900e+02 2.0900e+02 2.1600e+02\n",
      " 1.8300e+02 3.0800e+02 5.2500e+02 2.6800e+02 1.7300e+02 3.3200e+02\n",
      " 3.4700e+02 2.9700e+02 1.4800e+02 4.1100e+02 1.6800e+02 1.7600e+02\n",
      " 3.2700e+02 4.6300e+02 1.5100e+02 2.6700e+02 2.3300e+02 2.7200e+02\n",
      " 2.7600e+02 2.1000e+02 1.7800e+02 3.2500e+02 1.7700e+02 1.2700e+02\n",
      " 2.5100e+02 1.7900e+02 2.4900e+02 3.3800e+02 3.1800e+02 2.7900e+02\n",
      " 1.2400e+02 3.0900e+02 1.1600e+02 1.7200e+02 1.6400e+02 1.9600e+02\n",
      " 2.3700e+02 1.8900e+02 3.9400e+02 1.3500e+02 1.8600e+02 1.5800e+02\n",
      " 3.5400e+02 3.2600e+02 1.8500e+02 1.3300e+02 3.5700e+02 3.3300e+02\n",
      " 3.4900e+02 3.1300e+02 3.7100e+02 1.5400e+02 3.4300e+02 2.6200e+02\n",
      " 3.5200e+02 5.1700e+02 3.6100e+02 4.0100e+02 3.9000e+02 1.3700e+02\n",
      " 6.2000e+01 2.8600e+02 1.7100e+02 3.1000e+02 1.6200e+02 3.3500e+02\n",
      " 3.6800e+02 3.8100e+02 3.8600e+02 1.2600e+02 3.5100e+02 1.5500e+02\n",
      " 1.2800e+02 3.0500e+02 3.7500e+02 3.7800e+02 3.3000e+01 3.3900e+02\n",
      " 4.3400e+02 3.2000e+02 5.1200e+02 3.9100e+02 1.1000e+02 4.2200e+02\n",
      " 3.4800e+02 3.2400e+02 4.2500e+02 4.1400e+02 3.5900e+02 3.6000e+02\n",
      " 3.6700e+02 3.8900e+02 4.1200e+02 9.3000e+01 3.8700e+02 3.2200e+02\n",
      " 1.9800e+02 1.7400e+02 1.3200e+02 4.7200e+02 1.5900e+02 2.6100e+02\n",
      " 4.9800e+02 3.4200e+02 3.5800e+02 8.2000e+01 1.4400e+02 1.5200e+02\n",
      " 4.1600e+02 3.3000e+02 1.2300e+02 1.4700e+02 4.0000e+02 4.1500e+02\n",
      " 3.6500e+02 3.6600e+02 7.3000e+01 3.9500e+02 4.6200e+02 3.6400e+02\n",
      " 1.0200e+02 1.3000e+02 3.7000e+02 6.5000e+01 4.1000e+02 1.4900e+02\n",
      " 1.2900e+02 1.4000e+02 3.6200e+02 3.5500e+02 1.4300e+02 4.0800e+02\n",
      " 3.9600e+02 4.4800e+02 9.4000e+01 1.6500e+02 4.9900e+02 4.3500e+02\n",
      " 3.7600e+02 4.3800e+02 4.0500e+02 3.8800e+02 3.7700e+02 2.4000e+01\n",
      " 1.6300e+02 5.3400e+02 1.2200e+02 7.0000e+01 9.2000e+01 1.1100e+02\n",
      " 4.0300e+02 4.1800e+02 1.0900e+02 7.0900e+02 4.2100e+02 1.3600e+02\n",
      " 4.3300e+02 5.1100e+02 3.8300e+02 1.2000e+02 4.3100e+02 1.0600e+02\n",
      " 5.0100e+02 4.9400e+02 4.3700e+02 3.3700e+02 1.4100e+02 1.3900e+02\n",
      " 6.3000e+01 4.2900e+02 3.7200e+02 4.5800e+02 4.4900e+02 1.1900e+02\n",
      " 4.5300e+02 1.4600e+02 3.8500e+02 4.0700e+02 4.5500e+02 8.8000e+01\n",
      " 4.9200e+02 1.0400e+02 3.9700e+02 9.5000e+01 1.1700e+02 5.2700e+02\n",
      " 4.8500e+02 4.1300e+02 4.6900e+02 1.0300e+02 4.5200e+02 1.1200e+02\n",
      " 4.4600e+02 9.9999e+04 4.5700e+02 4.2600e+02 1.2100e+02 5.1500e+02\n",
      " 5.0800e+02 4.6400e+02 1.1800e+02 8.6000e+01 1.3800e+02 8.3000e+01\n",
      " 3.8400e+02 1.1300e+02 4.3000e+02 3.8200e+02 4.7000e+02 4.2000e+02\n",
      " 4.4700e+02 5.4500e+02 8.1600e+02 4.4200e+02 9.1000e+01 4.1700e+02\n",
      " 4.0900e+02 4.3000e+01 4.7600e+02 6.2000e+02 5.4000e+02 4.0400e+02\n",
      " 4.6100e+02 4.3600e+02 1.0500e+02 5.5500e+02 5.6500e+02 4.2700e+02\n",
      " 1.3400e+02 4.4100e+02 9.9000e+02 4.8000e+01 4.0200e+02 1.1400e+02\n",
      " 4.4000e+02 7.5000e+01 5.2800e+02 1.2500e+02 7.2000e+01 7.8000e+01\n",
      " 5.5700e+02 3.5000e+01 6.9000e+01 7.1000e+01 4.8700e+02 7.6000e+01\n",
      " 4.2300e+02 4.5100e+02 4.8600e+02 4.7400e+02 8.0000e+01 6.4000e+01\n",
      " 3.9000e+01 1.0700e+02 1.0800e+02 5.3000e+01 2.0000e+01 4.6700e+02\n",
      " 4.7500e+02 6.3000e+02 5.0700e+02 9.0000e+01 1.6000e+01 8.5000e+01\n",
      " 4.4300e+02 5.3100e+02 8.9000e+01 4.6000e+02 9.9000e+01 5.5300e+02\n",
      " 1.0000e+02 6.0000e+01 6.1000e+02 3.4000e+01 5.8900e+02 6.1000e+01\n",
      " 7.9000e+01 5.1900e+02 5.3800e+02 9.7000e+01 5.5000e+01 3.0000e+01\n",
      " 4.9700e+02 6.8000e+01 4.6000e+01 4.7100e+02 8.4000e+01 4.8000e+02\n",
      " 5.2000e+01 4.6600e+02 4.0000e+00 4.5000e+02 4.8800e+02 4.7800e+02\n",
      " 4.2400e+02 4.1000e+01 6.9100e+02 1.0100e+02 2.8000e+01 6.3800e+02\n",
      " 5.9000e+01 5.6100e+02 8.2400e+02 7.4800e+02 4.4400e+02 5.6800e+02\n",
      " 4.8200e+02 5.4700e+02 5.0300e+02 4.9000e+01 4.3200e+02 9.8000e+02\n",
      " 4.4500e+02 4.9100e+02 5.0900e+02 8.7300e+02 8.7000e+01 7.7000e+01\n",
      " 6.4800e+02 5.4100e+02 4.8100e+02 5.3200e+02 4.5400e+02 5.1400e+02\n",
      " 9.6000e+01 4.7900e+02 4.8900e+02 9.8000e+01 4.9000e+02 4.7700e+02\n",
      " 4.9600e+02 4.8400e+02 5.4900e+02 5.3500e+02 6.1300e+02 4.5600e+02\n",
      " 1.1420e+03 3.6000e+01 1.8000e+01 9.4300e+02 5.4800e+02 4.9500e+02\n",
      " 4.9300e+02 4.6800e+02 5.0200e+02 7.1400e+02 4.2000e+01 6.7000e+01\n",
      " 7.4000e+01 5.8000e+01 5.4400e+02 3.8000e+01 4.6500e+02 4.5900e+02\n",
      " 1.4000e+01 5.3600e+02 5.7900e+02 6.9700e+02 6.0300e+02 5.1600e+02\n",
      " 6.7500e+02 5.2600e+02 5.6000e+01 4.7300e+02 5.4000e+01 7.6100e+02\n",
      " 6.8700e+02 9.0000e+00 4.5000e+01 5.7000e+01 5.8400e+02 5.0500e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  260.  194.  296.  294.  353.  274.  252.  181.  306.  344.  207.\n",
      "  211.  323.  240.  266.  157.  202.  269.  242.  142.  259.  228.  321.\n",
      "  206.  245.  221.  131.  238.  248.  219.  439.  247.  319.  304.  271.\n",
      "  231.  258.  236.  204.  182.  428.  208.  281.  169.  191.  200.  264.\n",
      "  153.  293.  170.  257.  282.  244.  280.  215.  291.  317.  299.  406.\n",
      "  192.  220.  201.  180.  255.  184.  235.  419.  156.  341.  273.  334.\n",
      "  234.  227.  205.  213.  287.  374.  150.  379.  483.  265.  350.  278.\n",
      "  214.  197.  285.  243.  246.  226.  303.  283.  193.  190.  290.  145.\n",
      "  253.  263.  315.  328.  275.  232.  392.  222.  336.  256.  277.  239.\n",
      "  302.  212.  398.  229.  188.  373.  270.  203.  160.  316.  250.  241.\n",
      "  288.  289.  345.  301.  363.  393.  314.  199.  218.  230.  175.  329.\n",
      "  225.  167.  295.  115.  217.  166.  187.  254.  369.  380.  340.  356.\n",
      "   50.  307.  298.  284.  300.  195.  312.  331.  224.  311.  223.  161.\n",
      "  346.  292.  399.  209.  216.  183.  308.  525.  268.  173.  332.  347.\n",
      "  297.  148.  411.  168.  176.  327.  463.  151.  267.  233.  272.  276.\n",
      "  210.  178.  325.  177.  127.  251.  179.  249.  338.  318.  279.  124.\n",
      "  309.  116.  172.  164.  196.  237.  189.  394.  135.  186.  158.  354.\n",
      "  326.  185.  133.  357.  333.  349.  313.  371.  154.  343.  262.  352.\n",
      "  517.  361.  401.  390.  137.   62.  286.  171.  310.  162.  335.  368.\n",
      "  381.  386.  126.  351.  155.  128.  305.  375.  378.   33.  339.  434.\n",
      "  320.  512.  391.  110.  422.  348.  324.  425.  414.  359.  360.  367.\n",
      "  389.  412.   93.  387.  322.  198.  174.  132.  472.  159.  261.  498.\n",
      "  342.  358.   82.  144.  152.  416.  330.  123.  147.  400.  415.  365.\n",
      "  366.   73.  395.  462.  364.  102.  130.  370.   65.  410.  149.  129.\n",
      "  140.  362.  355.  143.  408.  396.  448.   94.  165.  499.  435.  376.\n",
      "  438.  405.  388.  377.   24.  163.  534.  122.   70.   92.  111.  403.\n",
      "  418.  109.  709.  421.  136.  433.  511.  383.  120.  431.  106.  501.\n",
      "  494.  437.  337.  141.  139.   63.  429.  372.  458.  449.  119.  453.\n",
      "  146.  385.  407.  455.   88.  492.  104.  397.   95.  117.  527.  485.\n",
      "  413.  469.  103.  452.  112.  446.  457.  426.  121.  515.  508.  464.\n",
      "  118.   86.  138.   83.  384.  113.  430.  382.  470.  420.  447.  545.\n",
      "  816.  442.   91.  417.  409.   43.  476.  620.  540.  404.  461.  436.\n",
      "  105.  555.  565.  427.  134.  441.  990.   48.  402.  114.  440.   75.\n",
      "  528.  125.   72.   78.  557.   35.   69.   71.  487.   76.  423.  451.\n",
      "  486.  474.   80.   64.   39.  107.  108.   53.   20.  467.  475.  630.\n",
      "  507.   90.   16.   85.  443.  531.   89.  460.   99.  553.  100.   60.\n",
      "  610.   34.  589.   61.   79.  519.  538.   97.   55.   30.  497.   68.\n",
      "   46.  471.   84.  480.   52.  466.    4.  450.  488.  478.  424.   41.\n",
      "  691.  101.   28.  638.   59.  561.  824.  748.  444.  568.  482.  547.\n",
      "  503.   49.  432.  980.  445.  491.  509.  873.   87.   77.  648.  541.\n",
      "  481.  532.  454.  514.   96.  479.  489.   98.  490.  477.  496.  484.\n",
      "  549.  535.  613.  456. 1142.   36.   18.  943.  548.  495.  493.  468.\n",
      "  502.  714.   42.   67.   74.   58.  544.   38.  465.  459.   14.  536.\n",
      "  579.  697.  603.  516.  675.  526.   56.  473.   54.  761.  687.    9.\n",
      "   45.   57.  584.  505.]\n",
      "-----------------------------------------\n",
      "AS1_PLAT platelet@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 3.2200e+02 2.3900e+02 3.3200e+02 2.4300e+02 2.0500e+02\n",
      " 2.6100e+02 2.5700e+02 2.3500e+02 3.1100e+02 4.1000e+02 2.5900e+02\n",
      " 3.1900e+02 3.8100e+02 1.9900e+02 4.0100e+02 2.4900e+02 3.0600e+02\n",
      " 2.4800e+02 3.4000e+02 3.0400e+02 2.6600e+02 2.0800e+02 1.6500e+02\n",
      " 2.7100e+02 2.9000e+02 2.5600e+02 2.2700e+02 2.8100e+02 2.2100e+02\n",
      " 3.3800e+02 2.7300e+02 2.1600e+02 4.0400e+02 2.1300e+02 2.1100e+02\n",
      " 5.0800e+02 2.5000e+02 3.2100e+02 2.3600e+02 2.8600e+02 2.6500e+02\n",
      " 2.6000e+02 2.5400e+02 2.9900e+02 2.5200e+02 2.4100e+02 1.9800e+02\n",
      " 2.8300e+02 3.7900e+02 3.1300e+02 1.8600e+02 3.1700e+02 2.7500e+02\n",
      " 2.1000e+02 2.2300e+02 4.2100e+02 4.0200e+02 3.2600e+02 2.2200e+02\n",
      " 1.7800e+02 2.3300e+02 2.2500e+02 2.4700e+02 1.5000e+02 2.2800e+02\n",
      " 2.9200e+02 2.4600e+02 2.8700e+02 2.1700e+02 2.7400e+02 1.3500e+02\n",
      " 1.1800e+02 3.2900e+02 3.0000e+02 3.1800e+02 2.6800e+02 2.1800e+02\n",
      " 2.1400e+02 3.5100e+02 1.9100e+02 3.9400e+02 2.8200e+02 2.3000e+02\n",
      " 3.0200e+02 2.7800e+02 2.8400e+02 2.2000e+02 2.5800e+02 2.6900e+02\n",
      " 3.7500e+02 3.3900e+02 2.4200e+02 1.5300e+02 3.6600e+02 4.2900e+02\n",
      " 2.6300e+02 2.9100e+02 3.9000e+02 1.6300e+02 2.3100e+02 2.3800e+02\n",
      " 2.5300e+02 3.8000e+02 2.1500e+02 3.1000e+02 4.5600e+02 2.5100e+02\n",
      " 1.7600e+02 2.0600e+02 1.9300e+02 3.4500e+02 2.9400e+02 3.6400e+02\n",
      " 3.0100e+02 3.0900e+02 2.4400e+02 2.8000e+02 3.6100e+02 2.2600e+02\n",
      " 2.6200e+02 1.8800e+02 3.5000e+02 1.6700e+02 1.8100e+02 2.1900e+02\n",
      " 3.6300e+02 3.3000e+02 2.2400e+02 3.0300e+02 4.2600e+02 2.9300e+02\n",
      " 2.0700e+02 2.0100e+02 3.1200e+02 3.3600e+02 2.6700e+02 3.0700e+02\n",
      " 1.6800e+02 1.8300e+02 3.3700e+02 2.9500e+02 2.3400e+02 1.9400e+02\n",
      " 1.8500e+02 2.6400e+02 2.5500e+02 2.0300e+02 2.8900e+02 3.1600e+02\n",
      " 1.3300e+02 4.3100e+02 3.7700e+02 3.3100e+02 4.2300e+02 2.4500e+02\n",
      " 2.3700e+02 1.9600e+02 2.7200e+02 3.1400e+02 4.2000e+01 3.2300e+02\n",
      " 2.8800e+02 1.7200e+02 3.6000e+02 1.7900e+02 1.4700e+02 4.8100e+02\n",
      " 3.4600e+02 3.3400e+02 2.9800e+02 3.0500e+02 3.5300e+02 3.0800e+02\n",
      " 3.2400e+02 4.4200e+02 3.7100e+02 2.7700e+02 3.7000e+02 3.4700e+02\n",
      " 1.5600e+02 3.4400e+02 3.2000e+02 3.7600e+02 1.7300e+02 3.5200e+02\n",
      " 3.8500e+02 3.6800e+02 4.0000e+02 3.2500e+02 2.7000e+02 2.7600e+02\n",
      " 6.2000e+01 2.0200e+02 4.1200e+02 3.7300e+02 2.8500e+02 1.0300e+02\n",
      " 2.0900e+02 3.6500e+02 3.2700e+02 3.2800e+02 1.8400e+02 3.4100e+02\n",
      " 4.4300e+02 4.2800e+02 1.3000e+02 3.3500e+02 1.8900e+02 2.9600e+02\n",
      " 3.5700e+02 4.6500e+02 2.3200e+02 1.9500e+02 1.9000e+02 2.9700e+02\n",
      " 5.4000e+01 3.6200e+02 2.4000e+02 3.4800e+02 1.9700e+02 2.0400e+02\n",
      " 3.9800e+02 2.2900e+02 3.5900e+02 1.7700e+02 4.0800e+02 5.9100e+02\n",
      " 4.7700e+02 4.2200e+02 1.8000e+02 3.4300e+02 3.8900e+02 3.8300e+02\n",
      " 4.1100e+02 3.3300e+02 4.0600e+02 1.5400e+02 1.6100e+02 5.3000e+01\n",
      " 4.5200e+02 4.5400e+02 4.0900e+02 3.1500e+02 2.1200e+02 1.7400e+02\n",
      " 1.7000e+02 3.6700e+02 3.9100e+02 1.6000e+02 4.8700e+02 4.0700e+02\n",
      " 3.4200e+02 1.5100e+02 4.0300e+02 3.5600e+02 1.5900e+02 7.3000e+01\n",
      " 2.7900e+02 1.3100e+02 1.6900e+02 2.0000e+02 1.9200e+02 6.5000e+01\n",
      " 4.4800e+02 3.4900e+02 4.1500e+02 4.4400e+02 1.8200e+02 1.8700e+02\n",
      " 3.9300e+02 3.7200e+02 1.6400e+02 4.8500e+02 4.8800e+02 1.7500e+02\n",
      " 1.6600e+02 3.7800e+02 3.9700e+02 1.4200e+02 1.4900e+02 1.3600e+02\n",
      " 1.4100e+02 1.5700e+02 1.4000e+02 3.8400e+02 1.1000e+02 6.8000e+01\n",
      " 4.2000e+02 1.2700e+02 3.5400e+02 3.8700e+02 1.7100e+02 4.1600e+02\n",
      " 4.2400e+02 3.7400e+02 1.3800e+02 4.1300e+02 3.5500e+02 3.5800e+02\n",
      " 3.8600e+02 1.5200e+02 9.0000e+00 4.4700e+02 1.3700e+02 3.8200e+02\n",
      " 9.7000e+01 3.6900e+02 8.2100e+02 1.2800e+02 4.0500e+02 4.7900e+02\n",
      " 1.4800e+02 3.9200e+02 6.9000e+01 1.5500e+02 4.6100e+02 9.9000e+01\n",
      " 1.4500e+02 7.7000e+01 4.3800e+02 1.2600e+02 7.8000e+01 5.0000e+01\n",
      " 4.7100e+02 5.2400e+02 5.3800e+02 7.0000e+00 4.3700e+02 4.1800e+02\n",
      " 4.8300e+02 4.9200e+02 4.2700e+02 1.5800e+02 1.0100e+02 6.1000e+01\n",
      " 1.4600e+02 9.2000e+01 8.7000e+01 5.6500e+02 9.4000e+01 4.3200e+02\n",
      " 8.8000e+01 1.3900e+02 1.6200e+02 1.4400e+02 1.0400e+02 3.2000e+01\n",
      " 1.0200e+02 1.1500e+02 1.1300e+02 4.2500e+02 4.6700e+02 5.5000e+02\n",
      " 1.1400e+02 5.2600e+02 1.2900e+02 3.8800e+02 8.2000e+01 5.3100e+02\n",
      " 4.4900e+02 4.5000e+02 9.3000e+01 4.1900e+02 1.4300e+02 4.5300e+02\n",
      " 5.4000e+02 4.7300e+02 3.0000e+01 1.2200e+02 4.4600e+02 4.3000e+02\n",
      " 4.6600e+02 6.0000e+02 1.2000e+02 1.3400e+02 4.9600e+02 4.5900e+02\n",
      " 4.7200e+02 4.9700e+02 9.0000e+01 4.3300e+02 6.1200e+02 3.8000e+01\n",
      " 1.1900e+02 1.3200e+02 4.7600e+02 6.6700e+02 3.9600e+02 1.1600e+02\n",
      " 4.9500e+02 3.5000e+01 4.4100e+02 3.9900e+02 1.6000e+01 3.9500e+02\n",
      " 7.5000e+01 8.4000e+01 5.0700e+02 1.0500e+02 6.6000e+01 4.4500e+02\n",
      " 5.9000e+01 1.2300e+02 4.8000e+02 1.1100e+02 4.0000e+01 9.9999e+04\n",
      " 4.1400e+02 4.9000e+01 5.2200e+02 1.0600e+02 8.5000e+01 5.1200e+02\n",
      " 1.0800e+02 4.3600e+02 4.4000e+02 1.2400e+02 2.8000e+01 1.2500e+02\n",
      " 4.6300e+02 6.0000e+01 4.7500e+02 4.6000e+02 5.2100e+02 4.8600e+02\n",
      " 5.2300e+02 4.8000e+01 4.5100e+02 9.6000e+01 6.3000e+01 4.7400e+02\n",
      " 4.5500e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 322. 239. 332. 243. 205. 261. 257. 235. 311. 410. 259. 319. 381.\n",
      " 199. 401. 249. 306. 248. 340. 304. 266. 208. 165. 271. 290. 256. 227.\n",
      " 281. 221. 338. 273. 216. 404. 213. 211. 508. 250. 321. 236. 286. 265.\n",
      " 260. 254. 299. 252. 241. 198. 283. 379. 313. 186. 317. 275. 210. 223.\n",
      " 421. 402. 326. 222. 178. 233. 225. 247. 150. 228. 292. 246. 287. 217.\n",
      " 274. 135. 118. 329. 300. 318. 268. 218. 214. 351. 191. 394. 282. 230.\n",
      " 302. 278. 284. 220. 258. 269. 375. 339. 242. 153. 366. 429. 263. 291.\n",
      " 390. 163. 231. 238. 253. 380. 215. 310. 456. 251. 176. 206. 193. 345.\n",
      " 294. 364. 301. 309. 244. 280. 361. 226. 262. 188. 350. 167. 181. 219.\n",
      " 363. 330. 224. 303. 426. 293. 207. 201. 312. 336. 267. 307. 168. 183.\n",
      " 337. 295. 234. 194. 185. 264. 255. 203. 289. 316. 133. 431. 377. 331.\n",
      " 423. 245. 237. 196. 272. 314.  42. 323. 288. 172. 360. 179. 147. 481.\n",
      " 346. 334. 298. 305. 353. 308. 324. 442. 371. 277. 370. 347. 156. 344.\n",
      " 320. 376. 173. 352. 385. 368. 400. 325. 270. 276.  62. 202. 412. 373.\n",
      " 285. 103. 209. 365. 327. 328. 184. 341. 443. 428. 130. 335. 189. 296.\n",
      " 357. 465. 232. 195. 190. 297.  54. 362. 240. 348. 197. 204. 398. 229.\n",
      " 359. 177. 408. 591. 477. 422. 180. 343. 389. 383. 411. 333. 406. 154.\n",
      " 161.  53. 452. 454. 409. 315. 212. 174. 170. 367. 391. 160. 487. 407.\n",
      " 342. 151. 403. 356. 159.  73. 279. 131. 169. 200. 192.  65. 448. 349.\n",
      " 415. 444. 182. 187. 393. 372. 164. 485. 488. 175. 166. 378. 397. 142.\n",
      " 149. 136. 141. 157. 140. 384. 110.  68. 420. 127. 354. 387. 171. 416.\n",
      " 424. 374. 138. 413. 355. 358. 386. 152.   9. 447. 137. 382.  97. 369.\n",
      " 821. 128. 405. 479. 148. 392.  69. 155. 461.  99. 145.  77. 438. 126.\n",
      "  78.  50. 471. 524. 538.   7. 437. 418. 483. 492. 427. 158. 101.  61.\n",
      " 146.  92.  87. 565.  94. 432.  88. 139. 162. 144. 104.  32. 102. 115.\n",
      " 113. 425. 467. 550. 114. 526. 129. 388.  82. 531. 449. 450.  93. 419.\n",
      " 143. 453. 540. 473.  30. 122. 446. 430. 466. 600. 120. 134. 496. 459.\n",
      " 472. 497.  90. 433. 612.  38. 119. 132. 476. 667. 396. 116. 495.  35.\n",
      " 441. 399.  16. 395.  75.  84. 507. 105.  66. 445.  59. 123. 480. 111.\n",
      "  40. 414.  49. 522. 106.  85. 512. 108. 436. 440. 124.  28. 125. 463.\n",
      "  60. 475. 460. 521. 486. 523.  48. 451.  96.  63. 474. 455.]\n",
      "-----------------------------------------\n",
      "NC1_RBC_B rbc@(x!=66666)&(x!=77777)&(x!=99999)@x [4.0900e+00 4.7200e+00 4.6500e+00 4.2800e+00 4.4700e+00 4.5700e+00\n",
      " 4.7300e+00 4.1000e+00 3.9600e+00 4.3500e+00 4.6300e+00 4.0600e+00\n",
      " 3.6700e+00 4.6700e+00 4.6400e+00 4.8100e+00 3.5400e+00 4.1800e+00\n",
      " 4.5500e+00 4.4600e+00 4.4400e+00 4.3100e+00 4.2500e+00 3.7700e+00\n",
      " 4.8700e+00 4.3600e+00 4.8800e+00 3.9900e+00 5.0600e+00 4.9200e+00\n",
      " 3.9700e+00 4.3300e+00 4.7100e+00 4.9900e+00 4.9800e+00 4.1300e+00\n",
      " 4.7400e+00 4.2700e+00 4.2000e+00 3.9200e+00 4.3800e+00 4.0300e+00\n",
      " 4.3000e+00 4.7700e+00 4.1600e+00 3.8700e+00 3.4500e+00 5.1300e+00\n",
      " 4.0200e+00 4.1900e+00 3.5600e+00 3.8300e+00 4.5000e+00 4.0000e+00\n",
      " 4.3700e+00 4.7600e+00 4.2900e+00 4.4800e+00 4.6000e+00 4.1500e+00\n",
      " 4.5200e+00 4.0800e+00 5.3900e+00 4.6100e+00 4.4200e+00 4.5300e+00\n",
      " 3.7100e+00 3.9100e+00 3.3600e+00 5.1500e+00 4.7800e+00 3.5800e+00\n",
      " 5.5800e+00 4.1400e+00 4.4900e+00 3.9300e+00 3.6300e+00 4.3900e+00\n",
      " 3.7800e+00 4.4500e+00 3.9800e+00 4.1700e+00 4.9700e+00 4.2400e+00\n",
      " 4.8600e+00 4.5100e+00 3.9000e+00 4.1100e+00 4.6200e+00 4.8500e+00\n",
      " 4.5800e+00 5.0200e+00 3.3800e+00 3.9500e+00 4.0700e+00 5.1400e+00\n",
      " 4.2600e+00 3.8400e+00 3.6200e+00 4.6600e+00 5.0500e+00 4.4000e+00\n",
      " 3.9400e+00 4.1200e+00 4.2200e+00 4.3200e+00 4.9100e+00 5.0000e+00\n",
      " 4.0500e+00 4.2300e+00 3.7500e+00 3.2700e+00 3.4800e+00 3.8100e+00\n",
      " 5.0900e+00 3.7900e+00 4.5600e+00 4.0400e+00 4.8900e+00 4.4300e+00\n",
      " 4.6900e+00 4.3400e+00 4.4100e+00 3.6500e+00 3.6400e+00 3.8600e+00\n",
      " 4.5400e+00 3.7000e+00 4.2100e+00 4.9400e+00 4.8200e+00 3.7600e+00\n",
      " 5.2000e+00 4.7500e+00 5.2900e+00 4.8300e+00 3.8500e+00 5.1000e+00\n",
      " 4.9300e+00 4.5900e+00 4.7000e+00 5.0800e+00 3.1600e+00 4.8400e+00\n",
      " 5.4400e+00 5.1700e+00 4.0100e+00 5.0400e+00 5.1100e+00 3.4900e+00\n",
      " 5.0100e+00 3.6600e+00 5.0300e+00 5.2100e+00 4.8000e+00 4.7900e+00\n",
      " 3.8200e+00 3.5100e+00 5.4700e+00 5.6500e+00 3.7300e+00 3.8900e+00\n",
      " 5.4000e+00 3.2500e+00 3.4600e+00 3.5200e+00 2.6400e+00 3.5500e+00\n",
      " 5.1800e+00 3.5700e+00 3.8800e+00 3.3700e+00 4.9500e+00 5.3200e+00\n",
      " 3.8000e+00 4.6800e+00 4.9600e+00 3.3100e+00 5.3500e+00 5.3300e+00\n",
      " 5.5100e+00 5.1900e+00 3.7200e+00 5.2200e+00 5.3000e+00 3.2200e+00\n",
      " 5.2800e+00 5.1200e+00 5.0700e+00 5.2700e+00 5.6200e+00 5.3700e+00\n",
      " 5.5900e+00 4.9000e+00 5.1600e+00 5.5000e+00 3.1500e+00 3.7400e+00\n",
      " 2.9400e+00 5.5300e+00 3.6800e+00 3.5900e+00 3.5000e+00 5.2600e+00\n",
      " 5.4600e+00 3.6100e+00 3.3400e+00 3.2400e+00 3.2800e+00 5.3400e+00\n",
      " 5.4900e+00 5.3600e+00 5.3800e+00 5.4300e+00 3.3900e+00 5.8800e+00\n",
      " 5.7100e+00 3.3500e+00 6.3100e+00 5.7000e+00 3.6900e+00 5.4200e+00\n",
      " 3.4700e+00 3.4200e+00 5.2500e+00 5.2400e+00 3.4400e+00 3.0500e+00\n",
      " 5.6400e+00 3.2600e+00 3.0100e+00 5.2300e+00 5.5600e+00 5.9200e+00\n",
      " 3.2300e+00 3.2000e+00 3.4100e+00 3.0700e+00 3.1800e+00 5.7600e+00\n",
      " 3.6000e+00 5.7200e+00 5.6000e+00 5.6700e+00 3.5300e+00 2.4200e+00\n",
      " 5.6100e+00 5.4800e+00 3.2100e+00 5.6600e+00 5.4100e+00 3.0300e+00\n",
      " 5.4500e+00 3.1100e+00 5.3100e+00 3.4300e+00 2.6900e+00 6.0500e+00\n",
      " 2.7900e+00 3.4000e+00 3.2900e+00 5.5700e+00 3.3300e+00 5.7400e+00\n",
      " 3.0400e+00 3.1900e+00 5.6300e+00        nan 5.6800e+00 5.8900e+00\n",
      " 5.9000e+00 3.3000e+00 5.5400e+00 5.8500e+00 5.5200e+00 5.9400e+00\n",
      " 5.5500e+00 5.6900e+00 5.8100e+00 2.8800e+00 6.4300e+00 5.9300e+00\n",
      " 9.9999e+04 5.8000e+00 5.7500e+00 2.5100e+00 2.9600e+00 5.8200e+00\n",
      " 6.2000e+00 5.7700e+00 2.9300e+00 2.6300e+00 2.8300e+00 5.7300e+00\n",
      " 2.9800e+00 6.0200e+00 5.8300e+00 6.0300e+00 6.0600e+00 5.8400e+00\n",
      " 3.0600e+00 2.4400e+00 2.9200e+00 2.3400e+00 3.0800e+00 6.1000e+00\n",
      " 3.1700e+00 2.6100e+00 3.3200e+00 5.7900e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [4.09 4.72 4.65 4.28 4.47 4.57 4.73 4.1  3.96 4.35 4.63 4.06 3.67 4.67\n",
      " 4.64 4.81 3.54 4.18 4.55 4.46 4.44 4.31 4.25 3.77 4.87 4.36 4.88 3.99\n",
      " 5.06 4.92 3.97 4.33 4.71 4.99 4.98 4.13 4.74 4.27 4.2  3.92 4.38 4.03\n",
      " 4.3  4.77 4.16 3.87 3.45 5.13 4.02 4.19 3.56 3.83 4.5  4.   4.37 4.76\n",
      " 4.29 4.48 4.6  4.15 4.52 4.08 5.39 4.61 4.42 4.53 3.71 3.91 3.36 5.15\n",
      " 4.78 3.58 5.58 4.14 4.49 3.93 3.63 4.39 3.78 4.45 3.98 4.17 4.97 4.24\n",
      " 4.86 4.51 3.9  4.11 4.62 4.85 4.58 5.02 3.38 3.95 4.07 5.14 4.26 3.84\n",
      " 3.62 4.66 5.05 4.4  3.94 4.12 4.22 4.32 4.91 5.   4.05 4.23 3.75 3.27\n",
      " 3.48 3.81 5.09 3.79 4.56 4.04 4.89 4.43 4.69 4.34 4.41 3.65 3.64 3.86\n",
      " 4.54 3.7  4.21 4.94 4.82 3.76 5.2  4.75 5.29 4.83 3.85 5.1  4.93 4.59\n",
      " 4.7  5.08 3.16 4.84 5.44 5.17 4.01 5.04 5.11 3.49 5.01 3.66 5.03 5.21\n",
      " 4.8  4.79 3.82 3.51 5.47 5.65 3.73 3.89 5.4  3.25 3.46 3.52 2.64 3.55\n",
      " 5.18 3.57 3.88 3.37 4.95 5.32 3.8  4.68 4.96 3.31 5.35 5.33 5.51 5.19\n",
      " 3.72 5.22 5.3  3.22 5.28 5.12 5.07 5.27 5.62 5.37 5.59 4.9  5.16 5.5\n",
      " 3.15 3.74 2.94 5.53 3.68 3.59 3.5  5.26 5.46 3.61 3.34 3.24 3.28 5.34\n",
      " 5.49 5.36 5.38 5.43 3.39 5.88 5.71 3.35 6.31 5.7  3.69 5.42 3.47 3.42\n",
      " 5.25 5.24 3.44 3.05 5.64 3.26 3.01 5.23 5.56 5.92 3.23 3.2  3.41 3.07\n",
      " 3.18 5.76 3.6  5.72 5.6  5.67 3.53 2.42 5.61 5.48 3.21 5.66 5.41 3.03\n",
      " 5.45 3.11 5.31 3.43 2.69 6.05 2.79 3.4  3.29 5.57 3.33 5.74 3.04 3.19\n",
      " 5.63  nan 5.68 5.89 5.9  3.3  5.54 5.85 5.52 5.94 5.55 5.69 5.81 2.88\n",
      " 6.43 5.93 5.8  5.75 2.51 2.96 5.82 6.2  5.77 2.93 2.63 2.83 5.73 2.98\n",
      " 6.02 5.83 6.03 6.06 5.84 3.06 2.44 2.92 2.34 3.08 6.1  3.17 2.61 3.32\n",
      " 5.79]\n",
      "-----------------------------------------\n",
      "CT1_RBC_B rbc@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 5.0700e+00 5.0800e+00 4.8800e+00 3.8700e+00\n",
      " 4.2200e+00 4.8000e+00 4.9000e+00 4.4500e+00 4.8500e+00 4.6100e+00\n",
      " 4.8900e+00 4.8700e+00 5.1000e+00 4.7700e+00 5.5800e+00 4.3800e+00\n",
      " 5.1100e+00 4.0000e+00 4.7400e+00 4.9600e+00 4.5200e+00 5.3800e+00\n",
      " 4.0300e+00 4.6700e+00 4.0900e+00 4.3600e+00 3.8900e+00 4.8200e+00\n",
      " 3.8600e+00 4.4000e+00 4.0400e+00 4.0200e+00 4.3200e+00 4.3900e+00\n",
      " 4.4400e+00 4.0700e+00 5.6900e+00 4.5700e+00 4.1000e+00 4.0100e+00\n",
      " 4.4200e+00 4.6000e+00 4.5600e+00 4.1700e+00 4.9500e+00 4.9800e+00\n",
      " 4.6800e+00 4.7500e+00 5.4100e+00 5.3100e+00 3.8000e+00 5.0500e+00\n",
      " 4.1600e+00 4.6600e+00 5.3200e+00 4.6900e+00 4.4700e+00 5.1400e+00\n",
      " 4.2000e+00 4.9400e+00 4.7300e+00 4.5100e+00 3.9000e+00 4.5300e+00\n",
      " 4.1300e+00 4.2400e+00 4.1800e+00 4.3000e+00 4.2600e+00 4.4300e+00\n",
      " 3.9900e+00 4.2900e+00 4.7800e+00 4.3300e+00 4.3100e+00 4.5900e+00\n",
      " 4.3500e+00 4.2300e+00 4.5000e+00 4.5800e+00 5.0100e+00 5.4300e+00\n",
      " 4.7900e+00 4.7000e+00 4.6200e+00 4.8400e+00 4.0600e+00 4.7200e+00\n",
      " 3.7300e+00 3.9200e+00 5.2800e+00 4.9700e+00 3.9300e+00 4.9100e+00\n",
      " 5.3900e+00 4.9300e+00 4.4600e+00 4.6500e+00 4.2100e+00 5.6700e+00\n",
      " 4.1200e+00 4.6300e+00 3.9800e+00 3.7700e+00 3.7100e+00 4.4100e+00\n",
      " 4.1400e+00 4.0500e+00 5.5700e+00 4.1100e+00 4.2700e+00 4.8600e+00\n",
      " 4.7600e+00 4.9200e+00 5.4600e+00 5.0000e+00 4.9900e+00 4.8300e+00\n",
      " 4.5400e+00 5.1200e+00 4.6400e+00 4.4800e+00 4.8100e+00 4.7100e+00\n",
      " 5.2400e+00 4.0800e+00 4.4900e+00 5.1500e+00 5.0300e+00 5.3700e+00\n",
      " 5.2200e+00 4.3700e+00 3.9400e+00 4.2800e+00 5.1600e+00 4.3400e+00\n",
      " 5.1900e+00 4.5500e+00 5.2700e+00 5.4500e+00 4.2500e+00 5.9900e+00\n",
      " 5.2300e+00 3.9100e+00 5.5300e+00 5.0600e+00 2.9600e+00 5.0900e+00\n",
      " 5.9100e+00 5.5100e+00 3.9600e+00 3.8200e+00 3.5900e+00 4.1900e+00\n",
      " 5.0200e+00 5.2900e+00 5.2000e+00 5.7600e+00 5.3000e+00 5.3400e+00\n",
      " 5.1800e+00 5.0400e+00 3.7800e+00 5.6100e+00 5.4400e+00 3.3800e+00\n",
      " 5.7200e+00 3.9500e+00 3.7600e+00 5.3300e+00 3.7200e+00 3.7900e+00\n",
      " 3.8500e+00 4.1500e+00 3.9700e+00 5.2500e+00 5.6300e+00 5.4700e+00\n",
      " 3.8800e+00 5.8000e+00 3.5500e+00 5.6200e+00 3.8300e+00 3.7500e+00\n",
      " 3.7000e+00 3.7400e+00 5.5500e+00 5.4200e+00 5.4900e+00 3.6900e+00\n",
      " 5.7500e+00 3.6300e+00 5.5400e+00 3.6000e+00 3.5200e+00 5.1300e+00\n",
      " 5.9300e+00 5.4800e+00 6.0100e+00 5.2600e+00 5.6800e+00 3.8100e+00\n",
      " 5.6500e+00 5.3600e+00 3.6800e+00 5.6000e+00 5.1700e+00 5.8700e+00\n",
      " 5.5900e+00 5.5000e+00 5.3500e+00 3.8400e+00 5.2100e+00 3.3300e+00\n",
      " 3.6100e+00 5.9000e+00 5.4000e+00 3.5800e+00 3.3000e+00 3.6400e+00\n",
      " 5.7000e+00 3.5300e+00 3.4900e+00 5.5200e+00 5.7100e+00 5.5600e+00\n",
      " 3.6500e+00 3.5400e+00 5.7700e+00 3.4800e+00 3.5700e+00 3.5000e+00\n",
      " 6.0800e+00 3.6600e+00 2.8400e+00 3.2400e+00 3.1100e+00 5.8500e+00\n",
      " 6.0600e+00 3.1800e+00 3.1200e+00 3.6200e+00 5.6600e+00 6.3100e+00\n",
      " 5.7400e+00 2.9800e+00 6.4400e+00 3.5600e+00 9.9999e+04 5.8300e+00\n",
      " 3.4000e+00 3.4200e+00 2.8500e+00 3.4400e+00 5.7800e+00 3.2700e+00\n",
      " 3.2500e+00 3.4300e+00 5.6400e+00 3.4600e+00 6.2000e+00 3.1600e+00\n",
      " 5.7300e+00 5.8200e+00 5.7900e+00 3.1400e+00 6.5000e+00 3.0800e+00\n",
      " 3.3500e+00 6.1500e+00 5.9200e+00 6.0000e+00 2.7300e+00 3.2900e+00\n",
      " 3.0100e+00 5.8900e+00 3.3900e+00 2.9500e+00 6.8600e+00 3.3200e+00\n",
      " 5.8100e+00 6.0200e+00 3.4700e+00 5.9500e+00 3.3600e+00 3.4100e+00\n",
      " 3.3700e+00 3.6700e+00 3.4500e+00 1.8500e+00 2.9300e+00 1.5300e+00\n",
      " 3.2200e+00 5.8400e+00 2.8900e+00 6.0300e+00 2.6600e+00 5.8800e+00\n",
      " 3.0900e+00 6.1200e+00 5.8600e+00 6.2800e+00 6.1300e+00 3.2100e+00\n",
      " 5.9700e+00 5.9800e+00 3.1900e+00 5.9600e+00 3.5100e+00 7.0700e+00\n",
      " 2.7100e+00 3.1500e+00 6.1600e+00 3.1700e+00 6.3200e+00 6.0400e+00\n",
      " 2.2500e+00 6.3900e+00 2.6400e+00 6.3000e+00 5.9400e+00 3.3100e+00\n",
      " 6.0700e+00 3.0000e+00 2.8200e+00 3.2800e+00 3.2600e+00 3.3400e+00\n",
      " 2.5600e+00 2.7800e+00 3.0700e+00 6.0900e+00 3.0600e+00 6.0500e+00\n",
      " 3.1300e+00 3.0400e+00 6.1800e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 5.07 5.08 4.88 3.87 4.22 4.8  4.9  4.45 4.85 4.61 4.89 4.87 5.1\n",
      " 4.77 5.58 4.38 5.11 4.   4.74 4.96 4.52 5.38 4.03 4.67 4.09 4.36 3.89\n",
      " 4.82 3.86 4.4  4.04 4.02 4.32 4.39 4.44 4.07 5.69 4.57 4.1  4.01 4.42\n",
      " 4.6  4.56 4.17 4.95 4.98 4.68 4.75 5.41 5.31 3.8  5.05 4.16 4.66 5.32\n",
      " 4.69 4.47 5.14 4.2  4.94 4.73 4.51 3.9  4.53 4.13 4.24 4.18 4.3  4.26\n",
      " 4.43 3.99 4.29 4.78 4.33 4.31 4.59 4.35 4.23 4.5  4.58 5.01 5.43 4.79\n",
      " 4.7  4.62 4.84 4.06 4.72 3.73 3.92 5.28 4.97 3.93 4.91 5.39 4.93 4.46\n",
      " 4.65 4.21 5.67 4.12 4.63 3.98 3.77 3.71 4.41 4.14 4.05 5.57 4.11 4.27\n",
      " 4.86 4.76 4.92 5.46 5.   4.99 4.83 4.54 5.12 4.64 4.48 4.81 4.71 5.24\n",
      " 4.08 4.49 5.15 5.03 5.37 5.22 4.37 3.94 4.28 5.16 4.34 5.19 4.55 5.27\n",
      " 5.45 4.25 5.99 5.23 3.91 5.53 5.06 2.96 5.09 5.91 5.51 3.96 3.82 3.59\n",
      " 4.19 5.02 5.29 5.2  5.76 5.3  5.34 5.18 5.04 3.78 5.61 5.44 3.38 5.72\n",
      " 3.95 3.76 5.33 3.72 3.79 3.85 4.15 3.97 5.25 5.63 5.47 3.88 5.8  3.55\n",
      " 5.62 3.83 3.75 3.7  3.74 5.55 5.42 5.49 3.69 5.75 3.63 5.54 3.6  3.52\n",
      " 5.13 5.93 5.48 6.01 5.26 5.68 3.81 5.65 5.36 3.68 5.6  5.17 5.87 5.59\n",
      " 5.5  5.35 3.84 5.21 3.33 3.61 5.9  5.4  3.58 3.3  3.64 5.7  3.53 3.49\n",
      " 5.52 5.71 5.56 3.65 3.54 5.77 3.48 3.57 3.5  6.08 3.66 2.84 3.24 3.11\n",
      " 5.85 6.06 3.18 3.12 3.62 5.66 6.31 5.74 2.98 6.44 3.56 5.83 3.4  3.42\n",
      " 2.85 3.44 5.78 3.27 3.25 3.43 5.64 3.46 6.2  3.16 5.73 5.82 5.79 3.14\n",
      " 6.5  3.08 3.35 6.15 5.92 6.   2.73 3.29 3.01 5.89 3.39 2.95 6.86 3.32\n",
      " 5.81 6.02 3.47 5.95 3.36 3.41 3.37 3.67 3.45 1.85 2.93 1.53 3.22 5.84\n",
      " 2.89 6.03 2.66 5.88 3.09 6.12 5.86 6.28 6.13 3.21 5.97 5.98 3.19 5.96\n",
      " 3.51 7.07 2.71 3.15 6.16 3.17 6.32 6.04 2.25 6.39 2.64 6.3  5.94 3.31\n",
      " 6.07 3.   2.82 3.28 3.26 3.34 2.56 2.78 3.07 6.09 3.06 6.05 3.13 3.04\n",
      " 6.18]\n",
      "-----------------------------------------\n",
      "AS1_RBC rbc@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.1100e+00 3.8500e+00 5.2600e+00 4.7900e+00 4.1300e+00\n",
      " 3.8900e+00 3.8400e+00 3.8600e+00 3.8800e+00 4.0600e+00 4.3900e+00\n",
      " 4.8700e+00 5.0000e+00 3.4300e+00 4.3200e+00 4.4400e+00 4.2800e+00\n",
      " 4.6100e+00 4.8500e+00 4.7200e+00 4.7300e+00 4.8800e+00 5.0800e+00\n",
      " 4.4800e+00 5.1000e+00 4.0500e+00 5.0100e+00 5.1100e+00 4.6800e+00\n",
      " 5.2100e+00 4.2600e+00 4.1400e+00 4.5900e+00 4.5000e+00 4.5100e+00\n",
      " 4.8100e+00 4.2900e+00 4.5400e+00 4.0100e+00 4.2400e+00 4.0900e+00\n",
      " 4.7400e+00 4.0700e+00 5.1600e+00 4.6900e+00 4.3500e+00 4.3700e+00\n",
      " 4.4300e+00 4.9900e+00 3.6100e+00 4.3800e+00 4.1800e+00 4.7500e+00\n",
      " 4.9100e+00 4.5600e+00 4.0400e+00 4.4200e+00 4.5500e+00 3.9600e+00\n",
      " 4.0300e+00 3.9200e+00 4.5200e+00 5.1800e+00 5.5500e+00 4.8300e+00\n",
      " 3.1900e+00 3.5700e+00 4.9300e+00 4.0800e+00 5.3900e+00 5.1900e+00\n",
      " 3.8100e+00 4.4000e+00 4.5800e+00 5.4100e+00 4.7700e+00 4.3300e+00\n",
      " 4.0000e+00 4.3000e+00 5.6200e+00 4.1600e+00 4.3600e+00 5.6000e+00\n",
      " 3.9000e+00 3.7400e+00 3.2000e+00 4.3100e+00 4.4600e+00 5.3000e+00\n",
      " 3.6500e+00 3.6300e+00 3.9700e+00 4.4100e+00 5.0900e+00 5.0300e+00\n",
      " 5.5100e+00 4.0200e+00 3.6800e+00 5.1500e+00 4.4700e+00 4.2300e+00\n",
      " 3.2100e+00 5.1400e+00 4.6600e+00 5.5700e+00 4.9700e+00 4.5300e+00\n",
      " 4.8200e+00 3.9900e+00 3.9500e+00 3.5800e+00 4.1700e+00 3.8000e+00\n",
      " 4.9200e+00 5.3100e+00 4.7000e+00 4.2000e+00 4.9600e+00 4.1900e+00\n",
      " 3.7700e+00 3.5500e+00 4.2200e+00 4.6700e+00 3.9400e+00 3.6600e+00\n",
      " 3.6000e+00 4.2500e+00 4.7800e+00 5.6700e+00 4.1200e+00 3.9100e+00\n",
      " 5.7700e+00 3.5000e+00 4.4900e+00 3.9300e+00 4.9400e+00 4.6400e+00\n",
      " 4.7100e+00 3.7900e+00 5.1700e+00 4.1500e+00 5.2200e+00 4.8900e+00\n",
      " 4.9500e+00 3.8200e+00 5.4000e+00 4.6200e+00 3.9800e+00 4.3400e+00\n",
      " 5.0600e+00 4.6300e+00 4.6000e+00 3.7800e+00 5.7400e+00 3.7600e+00\n",
      " 4.6500e+00 5.2800e+00 5.3600e+00 3.8300e+00 4.8600e+00 3.5900e+00\n",
      " 3.7300e+00 3.6900e+00 3.7500e+00 4.9000e+00 5.2000e+00 4.2700e+00\n",
      " 3.4500e+00 3.8700e+00 5.0500e+00 5.1200e+00 3.6400e+00 5.1300e+00\n",
      " 4.1000e+00 5.5600e+00 5.5000e+00 5.2500e+00 3.4700e+00 3.7100e+00\n",
      " 5.4700e+00 5.3300e+00 3.4900e+00 4.4500e+00 4.8400e+00 2.4500e+00\n",
      " 5.8400e+00 3.5400e+00 5.2400e+00 4.9800e+00 4.2100e+00 5.4800e+00\n",
      " 5.5400e+00 3.6700e+00 5.2300e+00 5.3800e+00 3.3200e+00 5.7600e+00\n",
      " 5.4500e+00 3.0900e+00 5.0200e+00 4.7600e+00 3.7200e+00 5.9100e+00\n",
      " 5.3500e+00 4.8000e+00 4.5700e+00 5.3400e+00 3.2400e+00 5.0400e+00\n",
      " 3.3800e+00 3.6200e+00 5.8100e+00 5.0700e+00 6.2700e+00 5.6500e+00\n",
      " 3.5300e+00 3.4800e+00 2.1500e+00 2.1100e+00 3.4400e+00 5.3700e+00\n",
      " 5.6600e+00 5.4400e+00 3.0400e+00 2.4100e+00 3.5100e+00 3.1100e+00\n",
      " 5.5300e+00 3.4000e+00 3.0300e+00 5.2900e+00 5.4300e+00 5.5200e+00\n",
      " 2.6400e+00 5.8200e+00 2.6700e+00 2.5500e+00 5.2700e+00 5.7900e+00\n",
      " 3.5600e+00 5.4900e+00 3.3000e+00 5.6300e+00 3.7000e+00 3.3100e+00\n",
      " 5.5900e+00 3.1300e+00 3.4200e+00 3.0000e+00 5.4600e+00 5.3200e+00\n",
      " 3.2700e+00 2.9000e+00 5.5800e+00 5.8900e+00 5.7500e+00 3.4100e+00\n",
      " 3.1200e+00 2.7600e+00 3.2200e+00 3.3300e+00 2.9600e+00 2.7900e+00\n",
      " 5.7200e+00 5.6400e+00 5.8300e+00 3.4600e+00 6.0000e+00 2.4300e+00\n",
      " 5.7100e+00 1.5500e+00 5.4200e+00 5.6900e+00 2.9900e+00 3.3900e+00\n",
      " 3.2600e+00 5.7800e+00 3.2500e+00 5.6100e+00 3.5200e+00 3.3600e+00\n",
      " 9.9999e+04 5.9500e+00 2.4600e+00 3.3400e+00 3.0100e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 4.11 3.85 5.26 4.79 4.13 3.89 3.84 3.86 3.88 4.06 4.39 4.87 5.\n",
      " 3.43 4.32 4.44 4.28 4.61 4.85 4.72 4.73 4.88 5.08 4.48 5.1  4.05 5.01\n",
      " 5.11 4.68 5.21 4.26 4.14 4.59 4.5  4.51 4.81 4.29 4.54 4.01 4.24 4.09\n",
      " 4.74 4.07 5.16 4.69 4.35 4.37 4.43 4.99 3.61 4.38 4.18 4.75 4.91 4.56\n",
      " 4.04 4.42 4.55 3.96 4.03 3.92 4.52 5.18 5.55 4.83 3.19 3.57 4.93 4.08\n",
      " 5.39 5.19 3.81 4.4  4.58 5.41 4.77 4.33 4.   4.3  5.62 4.16 4.36 5.6\n",
      " 3.9  3.74 3.2  4.31 4.46 5.3  3.65 3.63 3.97 4.41 5.09 5.03 5.51 4.02\n",
      " 3.68 5.15 4.47 4.23 3.21 5.14 4.66 5.57 4.97 4.53 4.82 3.99 3.95 3.58\n",
      " 4.17 3.8  4.92 5.31 4.7  4.2  4.96 4.19 3.77 3.55 4.22 4.67 3.94 3.66\n",
      " 3.6  4.25 4.78 5.67 4.12 3.91 5.77 3.5  4.49 3.93 4.94 4.64 4.71 3.79\n",
      " 5.17 4.15 5.22 4.89 4.95 3.82 5.4  4.62 3.98 4.34 5.06 4.63 4.6  3.78\n",
      " 5.74 3.76 4.65 5.28 5.36 3.83 4.86 3.59 3.73 3.69 3.75 4.9  5.2  4.27\n",
      " 3.45 3.87 5.05 5.12 3.64 5.13 4.1  5.56 5.5  5.25 3.47 3.71 5.47 5.33\n",
      " 3.49 4.45 4.84 2.45 5.84 3.54 5.24 4.98 4.21 5.48 5.54 3.67 5.23 5.38\n",
      " 3.32 5.76 5.45 3.09 5.02 4.76 3.72 5.91 5.35 4.8  4.57 5.34 3.24 5.04\n",
      " 3.38 3.62 5.81 5.07 6.27 5.65 3.53 3.48 2.15 2.11 3.44 5.37 5.66 5.44\n",
      " 3.04 2.41 3.51 3.11 5.53 3.4  3.03 5.29 5.43 5.52 2.64 5.82 2.67 2.55\n",
      " 5.27 5.79 3.56 5.49 3.3  5.63 3.7  3.31 5.59 3.13 3.42 3.   5.46 5.32\n",
      " 3.27 2.9  5.58 5.89 5.75 3.41 3.12 2.76 3.22 3.33 2.96 2.79 5.72 5.64\n",
      " 5.83 3.46 6.   2.43 5.71 1.55 5.42 5.69 2.99 3.39 3.26 5.78 3.25 5.61\n",
      " 3.52 3.36 5.95 2.46 3.34 3.01]\n",
      "-----------------------------------------\n",
      "NC1_WBC_B wbc@(x!=66666)&(x!=77777)&(x!=99999)@x [5.5000e+00 7.4000e+00 4.8000e+00 6.4000e+00 5.0000e+00 6.1000e+00\n",
      " 9.8000e+00 4.7000e+00 6.6000e+00 8.5000e+00 9.6000e+00 6.7000e+00\n",
      " 4.5000e+00 7.2000e+00 1.0100e+01 3.6000e+00 7.5000e+00 4.6000e+00\n",
      " 5.7000e+00 9.0000e+00 7.0000e+00 5.1000e+00 8.6000e+00 6.8000e+00\n",
      " 5.2000e+00 9.2000e+00 5.6000e+00 2.8000e+00 6.3000e+00 9.1000e+00\n",
      " 9.9000e+00 5.3000e+00 4.9000e+00 9.3000e+00 7.3000e+00 7.6000e+00\n",
      " 4.0000e+00 6.9000e+00 3.8000e+00 1.1200e+01 1.2100e+01 7.7000e+00\n",
      " 8.3000e+00 4.2000e+00 1.0400e+01 8.9000e+00 6.5000e+00 4.4000e+00\n",
      " 9.7000e+00 5.9000e+00 8.2000e+00 8.1000e+00 8.0000e+00 1.0000e+01\n",
      " 7.1000e+00 4.3000e+00 3.4000e+00 7.8000e+00 6.2000e+00 1.1100e+01\n",
      " 6.0000e+00 4.1000e+00 8.4000e+00 1.0200e+01 8.8000e+00 1.4400e+01\n",
      " 5.4000e+00 7.9000e+00 1.3600e+01 3.9000e+00 1.1800e+01 2.0100e+01\n",
      " 1.0700e+01 1.4600e+01 1.2300e+01 1.1700e+01 5.8000e+00 8.7000e+00\n",
      " 1.6500e+01 1.0900e+01 1.1900e+01 3.7000e+00 1.0300e+01 3.3000e+00\n",
      " 3.0000e+00 1.4200e+01 3.5000e+00 1.0500e+01 2.9000e+00 1.5000e+01\n",
      " 1.2400e+01 9.5000e+00 2.5000e+00 1.4800e+01 1.1400e+01 1.0600e+01\n",
      " 1.3100e+01 9.4000e+00 1.3500e+01 1.7000e+01 1.5300e+01 1.2800e+01\n",
      " 3.1000e+00 2.6000e+00 1.3000e+01 1.2200e+01 1.1300e+01 1.7200e+01\n",
      " 1.2900e+01 1.0800e+01 1.5100e+01 1.3300e+01 1.3900e+01 3.2000e+00\n",
      " 1.3700e+01 1.3400e+01 1.1500e+01 1.3200e+01 2.4000e+00 1.2500e+01\n",
      " 1.1000e+01 1.5500e+01 1.5400e+01 1.8600e+01 1.2000e+01 1.7800e+01\n",
      " 1.6700e+01 1.1600e+01 2.0000e+00 1.2700e+01 1.7900e+01 1.4900e+01\n",
      " 1.5600e+01 2.1000e+00 1.4000e+01 1.9300e+01 1.4300e+01 2.2000e+00\n",
      " 2.3000e+00 1.8400e+01 1.2600e+01 1.6600e+01        nan 2.7000e+00\n",
      " 1.6800e+01 1.6300e+01 1.3800e+01 1.4100e+01 2.0400e+01 9.9999e+04\n",
      " 1.5200e+01 1.6100e+01 1.5900e+01 1.5800e+01 1.8500e+01 1.7300e+01\n",
      " 1.5700e+01 1.7700e+01 1.9000e+01 1.7100e+01 1.9000e+00 2.2500e+01\n",
      " 1.6900e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  3 , conversion unique [ 5.5  7.4  4.8  6.4  5.   6.1  9.8  4.7  6.6  8.5  9.6  6.7  4.5  7.2\n",
      " 10.1  3.6  7.5  4.6  5.7  9.   7.   5.1  8.6  6.8  5.2  9.2  5.6  2.8\n",
      "  6.3  9.1  9.9  5.3  4.9  9.3  7.3  7.6  4.   6.9  3.8 11.2 12.1  7.7\n",
      "  8.3  4.2 10.4  8.9  6.5  4.4  9.7  5.9  8.2  8.1  8.  10.   7.1  4.3\n",
      "  3.4  7.8  6.2 11.1  6.   4.1  8.4 10.2  8.8 14.4  5.4  7.9 13.6  3.9\n",
      " 11.8 20.1 10.7 14.6 12.3 11.7  5.8  8.7 16.5 10.9 11.9  3.7 10.3  3.3\n",
      "  3.  14.2  3.5 10.5  2.9 15.  12.4  9.5  2.5 14.8 11.4 10.6 13.1  9.4\n",
      " 13.5 17.  15.3 12.8  3.1  2.6 13.  12.2 11.3 17.2 12.9 10.8 15.1 13.3\n",
      " 13.9  3.2 13.7 13.4 11.5 13.2  2.4 12.5 11.  15.5 15.4 18.6 12.  17.8\n",
      " 16.7 11.6  2.  12.7 17.9 14.9 15.6  2.1 14.  19.3 14.3  2.2  2.3 18.4\n",
      " 12.6 16.6  nan  2.7 16.8 16.3 13.8 14.1 20.4 15.2 16.1 15.9 15.8 18.5\n",
      " 17.3 15.7 17.7 19.  17.1  1.9 22.5 16.9]\n",
      "-----------------------------------------\n",
      "CT1_WBC_B wbc@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 6.3800e+00 ... 1.3380e+01 1.0980e+01 1.2300e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  6.38  4.77 ... 13.38 10.98 12.3 ]\n",
      "-----------------------------------------\n",
      "AS1_WBC wbc@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 5.2000e+00 5.5000e+00 7.4000e+00 8.5000e+00 5.8000e+00\n",
      " 6.2000e+00 7.2000e+00 4.0000e+00 5.9000e+00 6.8000e+00 5.6000e+00\n",
      " 4.8000e+00 9.1000e+00 6.3000e+00 5.7000e+00 6.1000e+00 7.8000e+00\n",
      " 6.9000e+00 7.0000e+00 4.7000e+00 5.1000e+00 4.4000e+00 6.5000e+00\n",
      " 4.2000e+00 7.6000e+00 8.9000e+00 6.4000e+00 7.5000e+00 1.0800e+01\n",
      " 6.0000e+00 1.1500e+01 8.0000e+00 5.0000e+00 9.2000e+00 7.1000e+00\n",
      " 9.5000e+00 1.1200e+01 7.7000e+00 8.6000e+00 5.3000e+00 3.5000e+00\n",
      " 4.9000e+00 8.2000e+00 1.3100e+01 5.4000e+00 6.6000e+00 9.6000e+00\n",
      " 4.6000e+00 8.7000e+00 4.3000e+00 1.0600e+01 3.2000e+00 8.3000e+00\n",
      " 4.5000e+00 3.9000e+00 9.7000e+00 4.1000e+00 8.4000e+00 1.1300e+01\n",
      " 1.0200e+01 8.8000e+00 7.9000e+00 6.7000e+00 1.0400e+01 8.1000e+00\n",
      " 7.3000e+00 9.9000e+00 3.6000e+00 9.0000e+00 3.8000e+00 1.0700e+01\n",
      " 2.3000e+00 1.0900e+01 9.8000e+00 1.0100e+01 3.7000e+00 3.0000e+00\n",
      " 1.1700e+01 9.4000e+00 1.1400e+01 1.2400e+01 1.6000e+00 3.4000e+00\n",
      " 1.2900e+01 1.0300e+01 2.4000e+00 1.5400e+01 1.0500e+01 1.9000e+00\n",
      " 1.1800e+01 1.3700e+01 1.3500e+01 3.3000e+00 1.3300e+01 9.3000e+00\n",
      " 1.0000e+01 1.4600e+01 1.2600e+01 1.2200e+01 1.1600e+01 1.1000e+01\n",
      " 2.7000e+00 1.4000e+01 1.2000e+01 3.1000e+00 1.4700e+01 1.4400e+01\n",
      " 1.2500e+01 1.2100e+01 1.3600e+01 1.1100e+01 1.3200e+01 1.3400e+01\n",
      " 1.4200e+01 1.5300e+01 1.7600e+01 1.4500e+01 1.4100e+01 2.6000e+00\n",
      " 1.3000e+01 1.2300e+01 1.5800e+01 1.7700e+01 2.8000e+00 2.9000e+00\n",
      " 1.6000e+01 1.1900e+01 1.6600e+01 1.7900e+01 1.6300e+01 2.3500e+01\n",
      " 1.5500e+01 1.2800e+01 1.8800e+01 1.5700e+01 1.2700e+01 2.2000e+00\n",
      " 9.9999e+04 1.3900e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  5.2  5.5  7.4  8.5  5.8  6.2  7.2  4.   5.9  6.8  5.6  4.8  9.1\n",
      "  6.3  5.7  6.1  7.8  6.9  7.   4.7  5.1  4.4  6.5  4.2  7.6  8.9  6.4\n",
      "  7.5 10.8  6.  11.5  8.   5.   9.2  7.1  9.5 11.2  7.7  8.6  5.3  3.5\n",
      "  4.9  8.2 13.1  5.4  6.6  9.6  4.6  8.7  4.3 10.6  3.2  8.3  4.5  3.9\n",
      "  9.7  4.1  8.4 11.3 10.2  8.8  7.9  6.7 10.4  8.1  7.3  9.9  3.6  9.\n",
      "  3.8 10.7  2.3 10.9  9.8 10.1  3.7  3.  11.7  9.4 11.4 12.4  1.6  3.4\n",
      " 12.9 10.3  2.4 15.4 10.5  1.9 11.8 13.7 13.5  3.3 13.3  9.3 10.  14.6\n",
      " 12.6 12.2 11.6 11.   2.7 14.  12.   3.1 14.7 14.4 12.5 12.1 13.6 11.1\n",
      " 13.2 13.4 14.2 15.3 17.6 14.5 14.1  2.6 13.  12.3 15.8 17.7  2.8  2.9\n",
      " 16.  11.9 16.6 17.9 16.3 23.5 15.5 12.8 18.8 15.7 12.7  2.2 13.9]\n",
      "-----------------------------------------\n",
      "NC1_MCV mcv@(x!=66666)&(x!=77777)&(x!=99999)@x [8.8800e+01 9.4300e+01 9.0400e+01 9.2100e+01 8.9000e+01 8.8700e+01\n",
      " 8.4700e+01 1.0750e+02 9.8100e+01 9.0800e+01 9.6800e+01 9.6900e+01\n",
      " 9.2600e+01 9.9500e+01 9.1700e+01 9.4200e+01 9.6500e+01 9.0100e+01\n",
      " 8.9500e+01 9.6600e+01 9.7400e+01 9.3900e+01 9.4700e+01 1.0220e+02\n",
      " 8.9100e+01 9.3400e+01 9.1600e+01 9.0700e+01 6.6666e+04 9.6300e+01\n",
      " 9.2000e+01 8.7200e+01 5.4800e+01 9.2200e+01 9.2300e+01 8.7000e+01\n",
      " 8.8100e+01 1.0210e+02 9.6100e+01 9.1800e+01 9.3100e+01 9.3000e+01\n",
      " 1.0050e+02 9.2400e+01 1.0160e+02 8.5600e+01 8.9200e+01 9.4600e+01\n",
      " 9.7700e+01 9.2700e+01 9.7900e+01 9.5900e+01 8.9700e+01 9.0600e+01\n",
      " 9.9000e+01 9.6400e+01 8.2200e+01 9.2800e+01 1.0150e+02 9.3500e+01\n",
      " 8.8500e+01 9.7600e+01 9.4100e+01 9.5600e+01 9.7000e+01 1.0250e+02\n",
      " 9.3200e+01 9.1900e+01 8.1000e+01 9.7300e+01 9.5700e+01 9.7100e+01\n",
      " 1.0260e+02 9.5400e+01 7.7100e+01 1.0510e+02 9.0000e+01 9.0300e+01\n",
      " 8.6800e+01 9.9600e+01 8.8400e+01 8.9800e+01 9.8900e+01 9.5500e+01\n",
      " 9.3300e+01 9.0500e+01 9.4900e+01 8.8900e+01 8.6300e+01 9.6200e+01\n",
      " 9.1400e+01 6.9100e+01 1.0030e+02 8.4000e+01 9.5200e+01 9.5800e+01\n",
      " 8.8600e+01 9.3800e+01 8.9600e+01 1.0370e+02 9.5300e+01 8.7300e+01\n",
      " 8.6100e+01 9.1200e+01 9.1000e+01 9.0900e+01 8.5900e+01 9.2900e+01\n",
      " 9.3700e+01 1.1000e+02 9.5100e+01 9.8500e+01 1.0690e+02 9.1300e+01\n",
      " 8.6400e+01 9.9900e+01 9.4400e+01 8.8200e+01 8.6600e+01 9.6700e+01\n",
      " 8.7100e+01 8.0700e+01 8.9900e+01 9.6000e+01 8.4400e+01 8.1600e+01\n",
      " 8.7900e+01 9.8200e+01 1.0280e+02 9.3600e+01 8.5400e+01 9.7800e+01\n",
      " 1.0170e+02 1.0040e+02 9.1500e+01 9.2500e+01 9.9400e+01 1.0440e+02\n",
      " 9.8300e+01 9.5000e+01 1.0130e+02 8.3100e+01 8.7700e+01 1.0080e+02\n",
      " 8.6900e+01 9.4000e+01 8.7500e+01 1.0140e+02 9.4500e+01 8.3600e+01\n",
      " 9.8600e+01 9.9800e+01 8.7400e+01 9.7500e+01 1.0460e+02 7.4500e+01\n",
      " 9.9700e+01 1.0070e+02 8.2400e+01 1.0380e+02 8.9400e+01 1.0770e+02\n",
      " 8.2000e+01 1.0180e+02 9.0200e+01 8.7600e+01 9.1100e+01 8.8000e+01\n",
      " 1.0110e+02 8.7800e+01 1.0290e+02 8.4800e+01 1.0420e+02 1.0470e+02\n",
      " 1.0430e+02 9.8700e+01 1.1120e+02 1.0980e+02 9.8000e+01 1.0090e+02\n",
      " 8.2800e+01 9.4800e+01 8.1800e+01 1.0230e+02 1.0120e+02 8.5200e+01\n",
      " 8.0600e+01 9.8800e+01 9.9200e+01 8.6000e+01 7.3300e+01 1.0650e+02\n",
      " 1.0060e+02 8.3300e+01 8.8300e+01 9.7200e+01 1.0320e+02 8.3200e+01\n",
      " 8.9300e+01 8.3900e+01 8.3700e+01 8.5000e+01 1.0710e+02 1.1590e+02\n",
      " 1.0620e+02 8.1300e+01 7.2700e+01 8.4900e+01 1.0020e+02 1.0410e+02\n",
      " 7.1700e+01 8.4600e+01 7.9300e+01 8.5300e+01 6.8700e+01 9.9100e+01\n",
      " 7.4000e+01 1.0000e+02 1.0450e+02 1.0200e+02 1.0330e+02 8.6500e+01\n",
      " 8.1700e+01 1.0240e+02 7.5200e+01 1.0300e+02 8.5100e+01 7.7800e+01\n",
      " 1.0360e+02 1.0490e+02 9.8400e+01 7.4100e+01 9.9999e+04 7.7600e+01\n",
      " 8.0100e+01 8.4100e+01 8.2700e+01 1.0270e+02 7.6900e+01 1.0190e+02\n",
      " 1.0610e+02 8.3400e+01 1.0100e+02 1.1350e+02 8.5700e+01 1.0560e+02\n",
      " 9.9300e+01 6.7000e+01 1.0480e+02 7.5600e+01 8.4500e+01 8.5800e+01\n",
      " 7.0800e+01 1.0640e+02 6.9900e+01 8.6700e+01 8.2500e+01 7.8700e+01\n",
      " 1.0350e+02 7.0200e+01 1.0590e+02 1.0530e+02 8.1900e+01 1.0870e+02\n",
      " 8.6200e+01 8.1100e+01 7.7500e+01 8.3000e+01 1.1080e+02 7.1000e+01\n",
      " 7.6700e+01 1.0340e+02 1.0010e+02 8.2900e+01 1.0920e+02 1.0680e+02\n",
      " 8.5500e+01 1.1610e+02 1.0780e+02 7.3600e+01 1.0400e+02 8.0500e+01\n",
      " 8.3500e+01 7.9400e+01 1.0850e+02 6.1800e+01 8.2300e+01 1.0390e+02\n",
      " 8.3800e+01 6.9300e+01 1.0670e+02 7.3200e+01 1.0660e+02 1.0720e+02\n",
      " 8.0800e+01 7.0000e+01 6.7800e+01 1.0310e+02 7.6800e+01 7.9900e+01\n",
      " 7.6600e+01 7.4700e+01 7.4600e+01 1.0540e+02 7.1300e+01 7.9100e+01\n",
      " 1.0580e+02 1.0520e+02 7.9500e+01 1.0810e+02 7.2400e+01 1.0500e+02\n",
      " 6.2500e+01 7.9000e+01 7.1900e+01 7.5100e+01 8.0900e+01 7.8100e+01\n",
      " 8.0400e+01 1.0840e+02 7.6000e+01 1.1810e+02 8.4300e+01 1.0630e+02\n",
      " 7.8500e+01 7.3100e+01 1.0990e+02 1.0760e+02 1.2310e+02 1.0930e+02\n",
      " 8.2100e+01 1.1460e+02 1.1070e+02 7.5000e+01 1.2510e+02 1.1110e+02\n",
      " 8.0000e+01 1.0890e+02 1.1550e+02 1.1250e+02 7.3500e+01 6.3800e+01\n",
      " 1.1360e+02        nan 1.0860e+02 1.0570e+02 1.1790e+02 1.1040e+02\n",
      " 7.7300e+01 6.5000e+01 1.0880e+02 6.6700e+01 7.4400e+01 7.4200e+01\n",
      " 1.1470e+02 1.1270e+02 1.1210e+02 5.6700e+01 7.9800e+01 6.0800e+01\n",
      " 1.0740e+02 1.1030e+02 1.0910e+02 7.8600e+01 8.1400e+01 6.3300e+01\n",
      " 1.1310e+02 8.0300e+01 8.4200e+01 7.8900e+01 6.2800e+01 6.7600e+01\n",
      " 7.5300e+01 1.1130e+02 1.0700e+02 1.0600e+02 7.6200e+01 5.8300e+01\n",
      " 7.7200e+01 7.9600e+01 1.1060e+02 6.5600e+01 7.7400e+01 6.5500e+01\n",
      " 6.1700e+01 1.1200e+02 8.2600e+01 5.7100e+01 7.8300e+01 6.7900e+01\n",
      " 1.1010e+02 6.9400e+01 6.6800e+01 7.8000e+01 7.0100e+01 1.1320e+02\n",
      " 7.8800e+01 8.0200e+01 6.3100e+01 1.2550e+02 7.4300e+01 6.6900e+01\n",
      " 7.1100e+01 1.0550e+02 8.1500e+01 7.2100e+01 7.3900e+01 7.1200e+01\n",
      " 6.8100e+01 7.6100e+01 7.7700e+01 6.5800e+01 7.3400e+01 7.5900e+01\n",
      " 8.1200e+01 7.8200e+01 7.2800e+01 1.0800e+02 1.0950e+02 7.0900e+01\n",
      " 7.3000e+01 1.1620e+02 6.1500e+01 6.6600e+01 7.8400e+01 1.0830e+02\n",
      " 7.2000e+01 1.1340e+02 6.3400e+01 7.6400e+01 6.6400e+01 7.1800e+01\n",
      " 6.4000e+01 6.2300e+01 7.2500e+01 1.0790e+02 6.7500e+01 7.6300e+01\n",
      " 5.7500e+01 1.1560e+02 7.5800e+01 6.9200e+01 7.2600e+01 6.4500e+01\n",
      " 1.1290e+02 5.8700e+01 1.1750e+02 6.2700e+01 7.6500e+01 1.1100e+02\n",
      " 1.1490e+02 6.9000e+01 1.1020e+02 6.8600e+01 6.8300e+01 6.9700e+01\n",
      " 7.3800e+01 6.4700e+01 7.0700e+01 1.0960e+02 1.2090e+02 1.1050e+02\n",
      " 7.5700e+01 7.7900e+01 1.1160e+02 6.5300e+01 6.2900e+01 1.0820e+02\n",
      " 7.4900e+01 7.4800e+01 6.8900e+01 7.3700e+01 6.0700e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 88.8  94.3  90.4  92.1  89.   88.7  84.7 107.5  98.1  90.8  96.8  96.9\n",
      "  92.6  99.5  91.7  94.2  96.5  90.1  89.5  96.6  97.4  93.9  94.7 102.2\n",
      "  89.1  93.4  91.6  90.7   nan  96.3  92.   87.2  54.8  92.2  92.3  87.\n",
      "  88.1 102.1  96.1  91.8  93.1  93.  100.5  92.4 101.6  85.6  89.2  94.6\n",
      "  97.7  92.7  97.9  95.9  89.7  90.6  99.   96.4  82.2  92.8 101.5  93.5\n",
      "  88.5  97.6  94.1  95.6  97.  102.5  93.2  91.9  81.   97.3  95.7  97.1\n",
      " 102.6  95.4  77.1 105.1  90.   90.3  86.8  99.6  88.4  89.8  98.9  95.5\n",
      "  93.3  90.5  94.9  88.9  86.3  96.2  91.4  69.1 100.3  84.   95.2  95.8\n",
      "  88.6  93.8  89.6 103.7  95.3  87.3  86.1  91.2  91.   90.9  85.9  92.9\n",
      "  93.7 110.   95.1  98.5 106.9  91.3  86.4  99.9  94.4  88.2  86.6  96.7\n",
      "  87.1  80.7  89.9  96.   84.4  81.6  87.9  98.2 102.8  93.6  85.4  97.8\n",
      " 101.7 100.4  91.5  92.5  99.4 104.4  98.3  95.  101.3  83.1  87.7 100.8\n",
      "  86.9  94.   87.5 101.4  94.5  83.6  98.6  99.8  87.4  97.5 104.6  74.5\n",
      "  99.7 100.7  82.4 103.8  89.4 107.7  82.  101.8  90.2  87.6  91.1  88.\n",
      " 101.1  87.8 102.9  84.8 104.2 104.7 104.3  98.7 111.2 109.8  98.  100.9\n",
      "  82.8  94.8  81.8 102.3 101.2  85.2  80.6  98.8  99.2  86.   73.3 106.5\n",
      " 100.6  83.3  88.3  97.2 103.2  83.2  89.3  83.9  83.7  85.  107.1 115.9\n",
      " 106.2  81.3  72.7  84.9 100.2 104.1  71.7  84.6  79.3  85.3  68.7  99.1\n",
      "  74.  100.  104.5 102.  103.3  86.5  81.7 102.4  75.2 103.   85.1  77.8\n",
      " 103.6 104.9  98.4  74.1  77.6  80.1  84.1  82.7 102.7  76.9 101.9 106.1\n",
      "  83.4 101.  113.5  85.7 105.6  99.3  67.  104.8  75.6  84.5  85.8  70.8\n",
      " 106.4  69.9  86.7  82.5  78.7 103.5  70.2 105.9 105.3  81.9 108.7  86.2\n",
      "  81.1  77.5  83.  110.8  71.   76.7 103.4 100.1  82.9 109.2 106.8  85.5\n",
      " 116.1 107.8  73.6 104.   80.5  83.5  79.4 108.5  61.8  82.3 103.9  83.8\n",
      "  69.3 106.7  73.2 106.6 107.2  80.8  70.   67.8 103.1  76.8  79.9  76.6\n",
      "  74.7  74.6 105.4  71.3  79.1 105.8 105.2  79.5 108.1  72.4 105.   62.5\n",
      "  79.   71.9  75.1  80.9  78.1  80.4 108.4  76.  118.1  84.3 106.3  78.5\n",
      "  73.1 109.9 107.6 123.1 109.3  82.1 114.6 110.7  75.  125.1 111.1  80.\n",
      " 108.9 115.5 112.5  73.5  63.8 113.6 108.6 105.7 117.9 110.4  77.3  65.\n",
      " 108.8  66.7  74.4  74.2 114.7 112.7 112.1  56.7  79.8  60.8 107.4 110.3\n",
      " 109.1  78.6  81.4  63.3 113.1  80.3  84.2  78.9  62.8  67.6  75.3 111.3\n",
      " 107.  106.   76.2  58.3  77.2  79.6 110.6  65.6  77.4  65.5  61.7 112.\n",
      "  82.6  57.1  78.3  67.9 110.1  69.4  66.8  78.   70.1 113.2  78.8  80.2\n",
      "  63.1 125.5  74.3  66.9  71.1 105.5  81.5  72.1  73.9  71.2  68.1  76.1\n",
      "  77.7  65.8  73.4  75.9  81.2  78.2  72.8 108.  109.5  70.9  73.  116.2\n",
      "  61.5  66.6  78.4 108.3  72.  113.4  63.4  76.4  66.4  71.8  64.   62.3\n",
      "  72.5 107.9  67.5  76.3  57.5 115.6  75.8  69.2  72.6  64.5 112.9  58.7\n",
      " 117.5  62.7  76.5 111.  114.9  69.  110.2  68.6  68.3  69.7  73.8  64.7\n",
      "  70.7 109.6 120.9 110.5  75.7  77.9 111.6  65.3  62.9 108.2  74.9  74.8\n",
      "  68.9  73.7  60.7]\n",
      "-----------------------------------------\n",
      "CT1_MCV mcv@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 9.0100e+01 8.9000e+01 8.8100e+01 9.4300e+01\n",
      " 9.2900e+01 9.2200e+01 9.4800e+01 9.6500e+01 8.8300e+01 9.4500e+01\n",
      " 8.6800e+01 9.1800e+01 9.6900e+01 8.7500e+01 9.7000e+01 8.6300e+01\n",
      " 9.2300e+01 8.6900e+01 8.7900e+01 8.7400e+01 8.5900e+01 8.4900e+01\n",
      " 8.9900e+01 8.9200e+01 9.6800e+01 9.0700e+01 9.0000e+01 8.7600e+01\n",
      " 1.0270e+02 9.8300e+01 9.2500e+01 8.7300e+01 9.1200e+01 8.4500e+01\n",
      " 9.1500e+01 9.3200e+01 8.7700e+01 9.3600e+01 9.3000e+01 8.8500e+01\n",
      " 9.6700e+01 9.5600e+01 9.5400e+01 9.3500e+01 9.4000e+01 9.5100e+01\n",
      " 9.2600e+01 9.4100e+01 9.5000e+01 9.3300e+01 9.0800e+01 9.1000e+01\n",
      " 9.5500e+01 9.9200e+01 9.2400e+01 9.2100e+01 9.3100e+01 9.2700e+01\n",
      " 8.6700e+01 9.9300e+01 7.7100e+01 9.6100e+01 8.7200e+01 7.9200e+01\n",
      " 9.2800e+01 8.2000e+01 9.3900e+01 8.8400e+01 9.0600e+01 6.9400e+01\n",
      " 8.6600e+01 9.4400e+01 1.0160e+02 9.5200e+01 8.9800e+01 8.0000e+01\n",
      " 8.6400e+01 6.9700e+01 8.8200e+01 8.9400e+01 9.2000e+01 8.9100e+01\n",
      " 9.7300e+01 9.0900e+01 9.4900e+01 9.1400e+01 9.4200e+01 8.4100e+01\n",
      " 8.3300e+01 9.4600e+01 8.6000e+01 8.9700e+01 8.3900e+01 9.5800e+01\n",
      " 9.7600e+01 8.9300e+01 8.8000e+01 1.0070e+02 9.4700e+01 9.0200e+01\n",
      " 7.7500e+01 9.3800e+01 9.3700e+01 9.0500e+01 9.6300e+01 8.4800e+01\n",
      " 9.8800e+01 7.5400e+01 6.6600e+01 8.5000e+01 9.8100e+01 8.3600e+01\n",
      " 9.9500e+01 7.3900e+01 9.1900e+01 8.8700e+01 8.2900e+01 9.3400e+01\n",
      " 9.1600e+01 8.8900e+01 9.8200e+01 9.5700e+01 8.3500e+01 9.7900e+01\n",
      " 9.5900e+01 7.5600e+01 8.9600e+01 8.7000e+01 8.5300e+01 9.5300e+01\n",
      " 9.6000e+01 9.1700e+01 8.6200e+01 9.0400e+01 7.7600e+01 9.1300e+01\n",
      " 9.8400e+01 8.4300e+01 7.3400e+01 7.1400e+01 9.7200e+01 8.9500e+01\n",
      " 5.3800e+01 8.8600e+01 8.4200e+01 8.8800e+01 8.1500e+01 8.4000e+01\n",
      " 8.5200e+01 9.6200e+01 9.7800e+01 8.3100e+01 7.0600e+01 1.0000e+02\n",
      " 8.5500e+01 8.5400e+01 8.7800e+01 1.0110e+02 8.3200e+01 9.8000e+01\n",
      " 9.7400e+01 8.2500e+01 9.9000e+01 8.5100e+01 9.6400e+01 8.4600e+01\n",
      " 7.8000e+01 9.7100e+01 8.6500e+01 8.1700e+01 9.8700e+01 6.4500e+01\n",
      " 7.4500e+01 9.6600e+01 6.7800e+01 8.3400e+01 1.0090e+02 9.8600e+01\n",
      " 9.9800e+01 8.5700e+01 7.7200e+01 9.7700e+01 9.0300e+01 9.1100e+01\n",
      " 7.2500e+01 7.9000e+01 8.3000e+01 9.8500e+01 8.0600e+01 7.7800e+01\n",
      " 8.6100e+01 8.2300e+01 8.7100e+01 1.0570e+02 7.9300e+01 8.4700e+01\n",
      " 8.5600e+01 1.0020e+02 7.9700e+01 8.4400e+01 1.0170e+02 8.0300e+01\n",
      " 6.2700e+01 7.3300e+01 1.0230e+02 1.0460e+02 9.7500e+01 7.6600e+01\n",
      " 7.5200e+01 9.9400e+01 6.7300e+01 8.5800e+01 8.3700e+01 7.4700e+01\n",
      " 9.9100e+01 8.1000e+01 7.7900e+01 8.1400e+01 7.8900e+01 1.0910e+02\n",
      " 9.9600e+01 1.0360e+02 8.2600e+01 7.8800e+01 1.0180e+02 7.9500e+01\n",
      " 6.6200e+01 9.9700e+01 7.6500e+01 1.0250e+02 1.0310e+02 1.0540e+02\n",
      " 8.2200e+01 7.9600e+01 1.0050e+02 8.2800e+01 8.2700e+01 1.0280e+02\n",
      " 7.1600e+01 6.4800e+01 8.1800e+01 8.1900e+01 1.0030e+02 1.0200e+02\n",
      " 8.0200e+01 1.0080e+02 1.0450e+02 6.8400e+01 1.0120e+02 8.2400e+01\n",
      " 7.1700e+01 1.0100e+02 1.0220e+02 6.8300e+01 9.8900e+01 7.5700e+01\n",
      " 7.0500e+01 7.9900e+01 7.4200e+01 5.9700e+01 8.1600e+01 7.7000e+01\n",
      " 6.9200e+01 7.4900e+01 6.7400e+01 7.0800e+01 1.0580e+02 8.1300e+01\n",
      " 7.6200e+01 8.0400e+01 7.8700e+01 6.8200e+01 8.2100e+01 7.1800e+01\n",
      " 7.1900e+01 1.0190e+02 6.3500e+01 7.9400e+01 7.8500e+01 7.0200e+01\n",
      " 6.5300e+01 1.0920e+02 7.2700e+01 1.0370e+02 6.2800e+01 5.7900e+01\n",
      " 1.0150e+02 1.0240e+02 6.8800e+01 8.3800e+01 7.2200e+01 8.1100e+01\n",
      " 6.8700e+01 1.0780e+02 1.0060e+02 6.0300e+01 1.0490e+02 7.8600e+01\n",
      " 1.0290e+02 1.0500e+02 5.9300e+01 1.1130e+02 1.0380e+02 1.0040e+02\n",
      " 7.5800e+01 7.0900e+01 7.1200e+01 8.0700e+01 6.6700e+01 8.0900e+01\n",
      " 7.7400e+01 1.0870e+02 7.4400e+01 7.8300e+01 1.0130e+02 7.2100e+01\n",
      " 6.7200e+01 7.4800e+01 8.0800e+01 9.9999e+04 6.4600e+01 6.2600e+01\n",
      " 7.5300e+01 1.1320e+02 8.0500e+01 7.6400e+01 7.7300e+01 1.0520e+02\n",
      " 7.3000e+01 1.0350e+02 7.6700e+01 8.1200e+01 1.0210e+02 8.0100e+01\n",
      " 7.9100e+01 7.8400e+01 1.0260e+02 1.1160e+02 1.0390e+02 7.0700e+01\n",
      " 1.0320e+02 7.2800e+01 7.1500e+01 7.3500e+01 6.0900e+01 1.2340e+02\n",
      " 7.4100e+01 7.9800e+01 1.0340e+02 6.8900e+01 7.3800e+01 6.5000e+01\n",
      " 7.8200e+01 6.9900e+01 7.2400e+01 6.6400e+01 1.0560e+02 6.3300e+01\n",
      " 6.3400e+01 7.1100e+01 7.2300e+01 1.1400e+02 1.1620e+02 1.0400e+02\n",
      " 7.2600e+01 6.3200e+01 7.5500e+01 1.0680e+02 1.0440e+02 5.6500e+01\n",
      " 1.0140e+02 7.6900e+01 6.9100e+01 7.3600e+01 6.3100e+01 7.8100e+01\n",
      " 7.1000e+01 7.6300e+01 7.3200e+01 1.0900e+02 7.6000e+01 1.0690e+02\n",
      " 1.0410e+02 6.5700e+01 7.2900e+01 6.9000e+01 6.8500e+01 7.6100e+01\n",
      " 6.2200e+01 7.0000e+01 7.4300e+01 1.1070e+02 6.9300e+01 1.0760e+02\n",
      " 7.5100e+01 7.6800e+01 1.0650e+02 7.7700e+01 7.3100e+01 1.0620e+02\n",
      " 6.4000e+01 7.4000e+01 6.6500e+01 1.0430e+02 7.0100e+01 6.6000e+01\n",
      " 6.6900e+01 7.5000e+01 1.0530e+02 6.5900e+01 7.4600e+01 6.8100e+01\n",
      " 1.0550e+02 1.0600e+02 6.7100e+01 7.0300e+01 1.1710e+02 1.3890e+02\n",
      " 1.0330e+02 6.7500e+01 1.1880e+02 1.0470e+02 1.0710e+02 6.7700e+01\n",
      " 1.0640e+02 5.9900e+01 1.1790e+02 5.8700e+01 7.5900e+01 6.6100e+01\n",
      " 1.2750e+02 5.9500e+01 1.1550e+02 1.0930e+02 6.9600e+01 6.5400e+01\n",
      " 7.0400e+01 6.9800e+01 6.2500e+01 1.0420e+02 6.4700e+01 1.0300e+02\n",
      " 1.0630e+02 1.0510e+02 1.0800e+02 6.7600e+01 1.0770e+02 6.4900e+01\n",
      " 1.0790e+02 7.3700e+01 6.8000e+01 6.4300e+01 6.4100e+01 6.5800e+01\n",
      " 6.6300e+01 6.1800e+01 1.0700e+02 1.1180e+02 6.0600e+01 5.9100e+01\n",
      " 7.1300e+01 6.5500e+01 6.4400e+01 6.5600e+01 6.3900e+01 6.7000e+01\n",
      " 6.7900e+01 6.2300e+01 1.0480e+02 1.0850e+02 1.0720e+02 7.2000e+01\n",
      " 6.0800e+01 1.0590e+02 5.8500e+01 6.0000e+01 1.1080e+02 6.5100e+01\n",
      " 1.1250e+02 1.0740e+02 1.1190e+02 6.1500e+01 5.7300e+01 1.0610e+02\n",
      " 5.9000e+01 1.1340e+02 1.1240e+02 6.1200e+01 5.7700e+01 1.1040e+02\n",
      " 1.1090e+02 1.0750e+02 6.4200e+01 6.8600e+01 1.1610e+02 1.0730e+02\n",
      " 1.1720e+02 6.3600e+01 1.0980e+02 1.1310e+02 5.9800e+01 1.1540e+02\n",
      " 1.0990e+02 1.0880e+02 6.0100e+01 6.9500e+01 6.2100e+01 1.0810e+02\n",
      " 6.5200e+01 6.1100e+01 1.0890e+02 6.3800e+01 6.3000e+01 1.1930e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  90.1  89.   88.1  94.3  92.9  92.2  94.8  96.5  88.3  94.5  86.8\n",
      "  91.8  96.9  87.5  97.   86.3  92.3  86.9  87.9  87.4  85.9  84.9  89.9\n",
      "  89.2  96.8  90.7  90.   87.6 102.7  98.3  92.5  87.3  91.2  84.5  91.5\n",
      "  93.2  87.7  93.6  93.   88.5  96.7  95.6  95.4  93.5  94.   95.1  92.6\n",
      "  94.1  95.   93.3  90.8  91.   95.5  99.2  92.4  92.1  93.1  92.7  86.7\n",
      "  99.3  77.1  96.1  87.2  79.2  92.8  82.   93.9  88.4  90.6  69.4  86.6\n",
      "  94.4 101.6  95.2  89.8  80.   86.4  69.7  88.2  89.4  92.   89.1  97.3\n",
      "  90.9  94.9  91.4  94.2  84.1  83.3  94.6  86.   89.7  83.9  95.8  97.6\n",
      "  89.3  88.  100.7  94.7  90.2  77.5  93.8  93.7  90.5  96.3  84.8  98.8\n",
      "  75.4  66.6  85.   98.1  83.6  99.5  73.9  91.9  88.7  82.9  93.4  91.6\n",
      "  88.9  98.2  95.7  83.5  97.9  95.9  75.6  89.6  87.   85.3  95.3  96.\n",
      "  91.7  86.2  90.4  77.6  91.3  98.4  84.3  73.4  71.4  97.2  89.5  53.8\n",
      "  88.6  84.2  88.8  81.5  84.   85.2  96.2  97.8  83.1  70.6 100.   85.5\n",
      "  85.4  87.8 101.1  83.2  98.   97.4  82.5  99.   85.1  96.4  84.6  78.\n",
      "  97.1  86.5  81.7  98.7  64.5  74.5  96.6  67.8  83.4 100.9  98.6  99.8\n",
      "  85.7  77.2  97.7  90.3  91.1  72.5  79.   83.   98.5  80.6  77.8  86.1\n",
      "  82.3  87.1 105.7  79.3  84.7  85.6 100.2  79.7  84.4 101.7  80.3  62.7\n",
      "  73.3 102.3 104.6  97.5  76.6  75.2  99.4  67.3  85.8  83.7  74.7  99.1\n",
      "  81.   77.9  81.4  78.9 109.1  99.6 103.6  82.6  78.8 101.8  79.5  66.2\n",
      "  99.7  76.5 102.5 103.1 105.4  82.2  79.6 100.5  82.8  82.7 102.8  71.6\n",
      "  64.8  81.8  81.9 100.3 102.   80.2 100.8 104.5  68.4 101.2  82.4  71.7\n",
      " 101.  102.2  68.3  98.9  75.7  70.5  79.9  74.2  59.7  81.6  77.   69.2\n",
      "  74.9  67.4  70.8 105.8  81.3  76.2  80.4  78.7  68.2  82.1  71.8  71.9\n",
      " 101.9  63.5  79.4  78.5  70.2  65.3 109.2  72.7 103.7  62.8  57.9 101.5\n",
      " 102.4  68.8  83.8  72.2  81.1  68.7 107.8 100.6  60.3 104.9  78.6 102.9\n",
      " 105.   59.3 111.3 103.8 100.4  75.8  70.9  71.2  80.7  66.7  80.9  77.4\n",
      " 108.7  74.4  78.3 101.3  72.1  67.2  74.8  80.8  64.6  62.6  75.3 113.2\n",
      "  80.5  76.4  77.3 105.2  73.  103.5  76.7  81.2 102.1  80.1  79.1  78.4\n",
      " 102.6 111.6 103.9  70.7 103.2  72.8  71.5  73.5  60.9 123.4  74.1  79.8\n",
      " 103.4  68.9  73.8  65.   78.2  69.9  72.4  66.4 105.6  63.3  63.4  71.1\n",
      "  72.3 114.  116.2 104.   72.6  63.2  75.5 106.8 104.4  56.5 101.4  76.9\n",
      "  69.1  73.6  63.1  78.1  71.   76.3  73.2 109.   76.  106.9 104.1  65.7\n",
      "  72.9  69.   68.5  76.1  62.2  70.   74.3 110.7  69.3 107.6  75.1  76.8\n",
      " 106.5  77.7  73.1 106.2  64.   74.   66.5 104.3  70.1  66.   66.9  75.\n",
      " 105.3  65.9  74.6  68.1 105.5 106.   67.1  70.3 117.1 138.9 103.3  67.5\n",
      " 118.8 104.7 107.1  67.7 106.4  59.9 117.9  58.7  75.9  66.1 127.5  59.5\n",
      " 115.5 109.3  69.6  65.4  70.4  69.8  62.5 104.2  64.7 103.  106.3 105.1\n",
      " 108.   67.6 107.7  64.9 107.9  73.7  68.   64.3  64.1  65.8  66.3  61.8\n",
      " 107.  111.8  60.6  59.1  71.3  65.5  64.4  65.6  63.9  67.   67.9  62.3\n",
      " 104.8 108.5 107.2  72.   60.8 105.9  58.5  60.  110.8  65.1 112.5 107.4\n",
      " 111.9  61.5  57.3 106.1  59.  113.4 112.4  61.2  57.7 110.4 110.9 107.5\n",
      "  64.2  68.6 116.1 107.3 117.2  63.6 109.8 113.1  59.8 115.4 109.9 108.8\n",
      "  60.1  69.5  62.1 108.1  65.2  61.1 108.9  63.8  63.  119.3]\n",
      "-----------------------------------------\n",
      "NC1_MCH mch@(x!=66666)&(x!=77777)&(x!=99999)@x [3.1100e+01 3.3200e+01 2.8700e+01 3.1000e+01 2.8800e+01 2.9900e+01\n",
      " 3.0100e+01 3.5200e+01 3.0900e+01 3.2200e+01 2.9100e+01 3.1800e+01\n",
      " 2.9800e+01 3.0800e+01 3.2600e+01 3.0500e+01 2.9500e+01 3.1300e+01\n",
      " 3.1600e+01 3.2900e+01 3.0300e+01 3.4000e+01 3.3400e+01 3.2100e+01\n",
      " 6.6666e+04 3.2700e+01 1.1600e+01 3.1200e+01 2.9600e+01 2.8600e+01\n",
      " 3.4200e+01 3.1700e+01 3.0000e+01 3.3000e+01 2.9700e+01 3.2300e+01\n",
      " 3.3500e+01 3.0400e+01 3.2400e+01 2.6700e+01 3.3700e+01 3.2000e+01\n",
      " 3.1500e+01 3.5000e+01 2.5600e+01 3.5300e+01 3.4800e+01 2.8900e+01\n",
      " 2.2400e+01 3.5900e+01 2.9000e+01 3.1400e+01 3.4400e+01 3.3600e+01\n",
      " 3.0700e+01 3.2800e+01 3.3900e+01 3.4100e+01 2.9300e+01 1.9000e+01\n",
      " 3.1900e+01 2.9200e+01 3.0600e+01 2.9400e+01 2.8400e+01 3.4300e+01\n",
      " 2.7600e+01 3.5500e+01 3.2500e+01 3.3100e+01 2.5400e+01 2.7800e+01\n",
      " 2.7500e+01 3.3300e+01 3.4700e+01 3.6100e+01 2.7700e+01 3.3800e+01\n",
      " 2.7100e+01 2.7200e+01 2.3700e+01 2.8000e+01 3.6800e+01 2.5800e+01\n",
      " 2.8100e+01 3.0200e+01 2.6300e+01 3.5100e+01 2.7000e+01 2.3300e+01\n",
      " 2.8200e+01 3.4900e+01 2.3400e+01 3.4600e+01 2.6500e+01 3.6000e+01\n",
      " 2.4200e+01 3.4500e+01 3.5800e+01 2.6000e+01 2.1300e+01 2.8500e+01\n",
      " 2.2000e+01 2.4400e+01 2.0900e+01 2.5100e+01 2.3800e+01 2.8300e+01\n",
      " 2.4500e+01 2.4700e+01 2.4600e+01 3.5600e+01 3.8300e+01 1.8600e+01\n",
      " 3.6400e+01 2.7900e+01 2.1500e+01 2.1200e+01 2.6200e+01 2.6100e+01\n",
      " 3.5400e+01 2.1700e+01 2.7400e+01 2.5000e+01 3.7400e+01 2.0100e+01\n",
      " 3.7300e+01 2.6400e+01 3.5700e+01 2.5900e+01 2.2200e+01 2.3200e+01\n",
      " 3.6600e+01 2.6800e+01 1.6300e+01 2.7300e+01 2.6900e+01 3.7000e+01\n",
      " 2.6600e+01 2.5700e+01 2.2500e+01 2.0400e+01 2.3500e+01 2.0700e+01\n",
      " 3.6300e+01 2.4300e+01 2.2900e+01 2.1900e+01 3.6200e+01 3.7600e+01\n",
      " 2.0300e+01 1.9400e+01 2.2600e+01 2.3600e+01 4.2200e+01 2.3900e+01\n",
      " 2.1000e+01 2.5500e+01 2.3000e+01 3.9300e+01 3.8100e+01 4.0700e+01\n",
      " 4.0000e+01 3.6700e+01 2.4100e+01 3.7100e+01 3.7500e+01 1.8400e+01\n",
      " 3.7200e+01        nan 3.8800e+01 3.7900e+01 2.4800e+01 2.0200e+01\n",
      " 2.3100e+01 3.6900e+01 3.6500e+01 1.5200e+01 1.7600e+01 1.7500e+01\n",
      " 2.5300e+01 1.8900e+01 3.7700e+01 2.1400e+01 1.8300e+01 1.9900e+01\n",
      " 3.8000e+01 1.5000e+01 1.9500e+01 1.9600e+01 9.9999e+04 2.4000e+01\n",
      " 2.2300e+01 2.1600e+01 2.0500e+01 1.9200e+01 4.0300e+01 2.2800e+01\n",
      " 1.9100e+01 1.8100e+01 1.6000e+01 2.1100e+01 2.2100e+01 2.5200e+01\n",
      " 3.9500e+01 1.7400e+01 2.4900e+01 2.0600e+01 2.2700e+01 1.9300e+01\n",
      " 1.7800e+01 1.8800e+01 1.7700e+01 3.8200e+01 1.9800e+01 1.6500e+01\n",
      " 4.1500e+01 1.8500e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [31.1 33.2 28.7 31.  28.8 29.9 30.1 35.2 30.9 32.2 29.1 31.8 29.8 30.8\n",
      " 32.6 30.5 29.5 31.3 31.6 32.9 30.3 34.  33.4 32.1  nan 32.7 11.6 31.2\n",
      " 29.6 28.6 34.2 31.7 30.  33.  29.7 32.3 33.5 30.4 32.4 26.7 33.7 32.\n",
      " 31.5 35.  25.6 35.3 34.8 28.9 22.4 35.9 29.  31.4 34.4 33.6 30.7 32.8\n",
      " 33.9 34.1 29.3 19.  31.9 29.2 30.6 29.4 28.4 34.3 27.6 35.5 32.5 33.1\n",
      " 25.4 27.8 27.5 33.3 34.7 36.1 27.7 33.8 27.1 27.2 23.7 28.  36.8 25.8\n",
      " 28.1 30.2 26.3 35.1 27.  23.3 28.2 34.9 23.4 34.6 26.5 36.  24.2 34.5\n",
      " 35.8 26.  21.3 28.5 22.  24.4 20.9 25.1 23.8 28.3 24.5 24.7 24.6 35.6\n",
      " 38.3 18.6 36.4 27.9 21.5 21.2 26.2 26.1 35.4 21.7 27.4 25.  37.4 20.1\n",
      " 37.3 26.4 35.7 25.9 22.2 23.2 36.6 26.8 16.3 27.3 26.9 37.  26.6 25.7\n",
      " 22.5 20.4 23.5 20.7 36.3 24.3 22.9 21.9 36.2 37.6 20.3 19.4 22.6 23.6\n",
      " 42.2 23.9 21.  25.5 23.  39.3 38.1 40.7 40.  36.7 24.1 37.1 37.5 18.4\n",
      " 37.2 38.8 37.9 24.8 20.2 23.1 36.9 36.5 15.2 17.6 17.5 25.3 18.9 37.7\n",
      " 21.4 18.3 19.9 38.  15.  19.5 19.6 24.  22.3 21.6 20.5 19.2 40.3 22.8\n",
      " 19.1 18.1 16.  21.1 22.1 25.2 39.5 17.4 24.9 20.6 22.7 19.3 17.8 18.8\n",
      " 17.7 38.2 19.8 16.5 41.5 18.5]\n",
      "-----------------------------------------\n",
      "CT1_MCH mch@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 3.1000e+01 3.0100e+01 2.9300e+01 3.0200e+01\n",
      " 2.9400e+01 2.9200e+01 3.1600e+01 3.1300e+01 2.9100e+01 3.2100e+01\n",
      " 2.9600e+01 3.2700e+01 2.9900e+01 3.1700e+01 3.0800e+01 2.9500e+01\n",
      " 2.8800e+01 2.8500e+01 2.8600e+01 3.0000e+01 2.9700e+01 3.3900e+01\n",
      " 3.2200e+01 3.1800e+01 3.1100e+01 2.8200e+01 3.0500e+01 2.8300e+01\n",
      " 2.8700e+01 3.1200e+01 3.1400e+01 3.3600e+01 2.8100e+01 3.3100e+01\n",
      " 3.2400e+01 3.2600e+01 3.2900e+01 3.0700e+01 3.0300e+01 3.0900e+01\n",
      " 3.0400e+01 2.9800e+01 3.3800e+01 3.0600e+01 2.9000e+01 2.4300e+01\n",
      " 2.4600e+01 2.6700e+01 2.8000e+01 2.8400e+01 2.0800e+01 3.4800e+01\n",
      " 2.5400e+01 2.8900e+01 2.0500e+01 2.7900e+01 2.7800e+01 2.7300e+01\n",
      " 3.1900e+01 3.2800e+01 2.3700e+01 3.1500e+01 3.3000e+01 2.2900e+01\n",
      " 1.7900e+01 2.6400e+01 3.2500e+01 2.1800e+01 3.3500e+01 2.2500e+01\n",
      " 3.2000e+01 3.2300e+01 2.4000e+01 2.7000e+01 2.1300e+01 2.1000e+01\n",
      " 1.5400e+01 2.7400e+01 2.5200e+01 3.3200e+01 2.7600e+01 3.3700e+01\n",
      " 1.8600e+01 2.1100e+01 2.7700e+01 2.7100e+01 2.7500e+01 3.4000e+01\n",
      " 2.4900e+01 3.3300e+01 2.6600e+01 1.9300e+01 2.7200e+01 2.4200e+01\n",
      " 1.9800e+01 2.3600e+01 2.2700e+01 2.5600e+01 2.6200e+01 2.4700e+01\n",
      " 2.6000e+01 2.4800e+01 3.3400e+01 2.5800e+01 3.4700e+01 2.6900e+01\n",
      " 2.5900e+01 1.5100e+01 2.2600e+01 3.5100e+01 3.4500e+01 2.3000e+01\n",
      " 1.9700e+01 2.6800e+01 3.5300e+01 2.5300e+01 3.6900e+01 2.6500e+01\n",
      " 1.9500e+01 3.5000e+01 2.3900e+01 2.4500e+01 2.3200e+01 3.4200e+01\n",
      " 2.5500e+01 3.4900e+01 2.0400e+01 1.8500e+01 2.6300e+01 2.6100e+01\n",
      " 3.5600e+01 1.9900e+01 3.4300e+01 2.2000e+01 1.9000e+01 2.3400e+01\n",
      " 2.0600e+01 1.7000e+01 2.5700e+01 2.3300e+01 2.3800e+01 2.2100e+01\n",
      " 1.8300e+01 1.6100e+01 2.0900e+01 1.9100e+01 3.7000e+01 3.4100e+01\n",
      " 3.5900e+01 3.4400e+01 1.7500e+01 1.5700e+01 3.5200e+01 2.1700e+01\n",
      " 1.6900e+01 2.4400e+01 3.4600e+01 1.7400e+01 3.7900e+01 2.0000e+01\n",
      " 2.1200e+01 2.4100e+01 3.6600e+01 2.2400e+01 3.6200e+01 2.0200e+01\n",
      " 9.9999e+04 1.8800e+01 2.5100e+01 2.3100e+01 3.8800e+01 2.3500e+01\n",
      " 2.5000e+01 2.0700e+01 2.0300e+01 2.1500e+01 2.1600e+01 1.6800e+01\n",
      " 4.1800e+01 2.2800e+01 1.9400e+01 2.1900e+01 1.8900e+01 3.9800e+01\n",
      " 2.1400e+01 3.9600e+01 1.5300e+01 2.2300e+01 1.7200e+01 1.6000e+01\n",
      " 1.7100e+01 2.2200e+01 3.5400e+01 3.6500e+01 2.0100e+01 1.8200e+01\n",
      " 3.6300e+01 1.8100e+01 3.5700e+01 3.9000e+01 4.7600e+01 1.8000e+01\n",
      " 3.6100e+01 3.8600e+01 1.6600e+01 3.9100e+01 1.9200e+01 3.5500e+01\n",
      " 3.6000e+01 3.5800e+01 3.6700e+01 1.7800e+01 1.7300e+01 1.8400e+01\n",
      " 1.9600e+01 1.7700e+01 3.7200e+01 1.8700e+01 1.6200e+01 1.4300e+01\n",
      " 1.4500e+01 3.8500e+01 3.8000e+01 1.7600e+01 1.4700e+01 3.8300e+01\n",
      " 3.7300e+01 3.7100e+01 3.6400e+01 3.7600e+01 3.8100e+01 1.6700e+01\n",
      " 4.0400e+01 3.7500e+01 3.6800e+01 1.5200e+01 5.0500e+01 1.6500e+01\n",
      " 4.0700e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 31.  30.1 29.3 30.2 29.4 29.2 31.6 31.3 29.1 32.1 29.6 32.7 29.9\n",
      " 31.7 30.8 29.5 28.8 28.5 28.6 30.  29.7 33.9 32.2 31.8 31.1 28.2 30.5\n",
      " 28.3 28.7 31.2 31.4 33.6 28.1 33.1 32.4 32.6 32.9 30.7 30.3 30.9 30.4\n",
      " 29.8 33.8 30.6 29.  24.3 24.6 26.7 28.  28.4 20.8 34.8 25.4 28.9 20.5\n",
      " 27.9 27.8 27.3 31.9 32.8 23.7 31.5 33.  22.9 17.9 26.4 32.5 21.8 33.5\n",
      " 22.5 32.  32.3 24.  27.  21.3 21.  15.4 27.4 25.2 33.2 27.6 33.7 18.6\n",
      " 21.1 27.7 27.1 27.5 34.  24.9 33.3 26.6 19.3 27.2 24.2 19.8 23.6 22.7\n",
      " 25.6 26.2 24.7 26.  24.8 33.4 25.8 34.7 26.9 25.9 15.1 22.6 35.1 34.5\n",
      " 23.  19.7 26.8 35.3 25.3 36.9 26.5 19.5 35.  23.9 24.5 23.2 34.2 25.5\n",
      " 34.9 20.4 18.5 26.3 26.1 35.6 19.9 34.3 22.  19.  23.4 20.6 17.  25.7\n",
      " 23.3 23.8 22.1 18.3 16.1 20.9 19.1 37.  34.1 35.9 34.4 17.5 15.7 35.2\n",
      " 21.7 16.9 24.4 34.6 17.4 37.9 20.  21.2 24.1 36.6 22.4 36.2 20.2 18.8\n",
      " 25.1 23.1 38.8 23.5 25.  20.7 20.3 21.5 21.6 16.8 41.8 22.8 19.4 21.9\n",
      " 18.9 39.8 21.4 39.6 15.3 22.3 17.2 16.  17.1 22.2 35.4 36.5 20.1 18.2\n",
      " 36.3 18.1 35.7 39.  47.6 18.  36.1 38.6 16.6 39.1 19.2 35.5 36.  35.8\n",
      " 36.7 17.8 17.3 18.4 19.6 17.7 37.2 18.7 16.2 14.3 14.5 38.5 38.  17.6\n",
      " 14.7 38.3 37.3 37.1 36.4 37.6 38.1 16.7 40.4 37.5 36.8 15.2 50.5 16.5\n",
      " 40.7]\n",
      "-----------------------------------------\n",
      "NC1_MCHC mchc@(x!=66666)&(x!=77777)&(x!=99999)@x [3.5100e+01 3.5200e+01 3.1700e+01 3.3600e+01 3.2300e+01 3.5500e+01\n",
      " 3.2800e+01 3.4800e+01 3.2100e+01 3.2900e+01 3.3200e+01 3.3300e+01\n",
      " 3.2700e+01 3.5300e+01 3.3000e+01 3.3800e+01 3.2400e+01 3.2200e+01\n",
      " 3.2000e+01 3.4500e+01 3.5700e+01 3.4000e+01 3.5400e+01 6.6666e+04\n",
      " 3.3900e+01 3.4600e+01 2.1200e+01 3.4900e+01 3.4700e+01 3.3500e+01\n",
      " 3.1300e+01 3.0600e+01 3.3400e+01 3.4200e+01 3.4300e+01 3.4400e+01\n",
      " 3.3700e+01 3.2600e+01 3.2500e+01 3.4100e+01 3.3100e+01 3.6300e+01\n",
      " 3.5900e+01 3.1100e+01 2.9100e+01 3.1400e+01 3.0500e+01 3.1900e+01\n",
      " 3.0100e+01 2.7600e+01 3.5000e+01 3.0800e+01 2.9500e+01 3.1500e+01\n",
      " 3.6000e+01 3.6700e+01 3.0700e+01 3.0000e+01 3.1600e+01 3.5800e+01\n",
      " 3.1000e+01 3.1800e+01 3.6200e+01 3.5600e+01 3.0200e+01 3.6100e+01\n",
      " 2.9300e+01 3.1200e+01 3.6500e+01 2.9200e+01 3.7200e+01 3.0400e+01\n",
      " 3.0900e+01 2.7700e+01 3.0300e+01 2.9800e+01 3.7100e+01 2.8300e+01\n",
      " 2.6300e+01 2.9600e+01 3.7500e+01 2.9700e+01 3.6400e+01 2.8000e+01\n",
      " 2.8900e+01 3.6600e+01 2.8600e+01 2.8800e+01 2.9000e+01        nan\n",
      " 2.9400e+01 2.6800e+01 3.8400e+01 2.8100e+01 2.7500e+01 2.5800e+01\n",
      " 2.9900e+01 9.9999e+04 2.6600e+01 2.7800e+01 3.6900e+01 2.5900e+01\n",
      " 4.8900e+01 2.4600e+01 2.7300e+01 2.8400e+01 2.6100e+01 3.6800e+01\n",
      " 2.7100e+01 3.7900e+01 2.7400e+01 2.6400e+01 2.8500e+01 2.5500e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [35.1 35.2 31.7 33.6 32.3 35.5 32.8 34.8 32.1 32.9 33.2 33.3 32.7 35.3\n",
      " 33.  33.8 32.4 32.2 32.  34.5 35.7 34.  35.4  nan 33.9 34.6 21.2 34.9\n",
      " 34.7 33.5 31.3 30.6 33.4 34.2 34.3 34.4 33.7 32.6 32.5 34.1 33.1 36.3\n",
      " 35.9 31.1 29.1 31.4 30.5 31.9 30.1 27.6 35.  30.8 29.5 31.5 36.  36.7\n",
      " 30.7 30.  31.6 35.8 31.  31.8 36.2 35.6 30.2 36.1 29.3 31.2 36.5 29.2\n",
      " 37.2 30.4 30.9 27.7 30.3 29.8 37.1 28.3 26.3 29.6 37.5 29.7 36.4 28.\n",
      " 28.9 36.6 28.6 28.8 29.  29.4 26.8 38.4 28.1 27.5 25.8 29.9 26.6 27.8\n",
      " 36.9 25.9 48.9 24.6 27.3 28.4 26.1 36.8 27.1 37.9 27.4 26.4 28.5 25.5]\n",
      "-----------------------------------------\n",
      "CT1_MCHC mchc@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 3.4400e+01 3.3800e+01 3.3300e+01 3.2100e+01\n",
      " 3.1600e+01 3.3100e+01 3.4300e+01 3.2700e+01 3.2500e+01 3.2900e+01\n",
      " 3.4000e+01 3.3600e+01 3.2300e+01 3.4200e+01 3.2800e+01 3.5400e+01\n",
      " 3.2400e+01 3.2000e+01 3.1400e+01 3.3000e+01 3.3900e+01 3.3700e+01\n",
      " 3.2200e+01 3.4800e+01 3.1700e+01 3.4700e+01 3.5200e+01 3.3200e+01\n",
      " 3.4600e+01 3.3500e+01 3.2600e+01 3.1900e+01 3.1100e+01 3.1500e+01\n",
      " 2.9900e+01 3.5300e+01 3.5100e+01 3.1800e+01 2.9400e+01 3.5600e+01\n",
      " 3.4900e+01 3.3400e+01 3.4100e+01 3.0700e+01 3.5800e+01 3.0300e+01\n",
      " 2.6900e+01 3.5900e+01 3.4500e+01 3.6000e+01 2.9800e+01 3.5500e+01\n",
      " 3.1000e+01 2.9100e+01 3.6600e+01 3.1300e+01 2.8600e+01 3.1200e+01\n",
      " 3.5700e+01 2.6300e+01 3.0400e+01 3.5000e+01 3.0000e+01 3.0900e+01\n",
      " 3.0200e+01 2.9200e+01 3.0500e+01 3.0600e+01 2.4200e+01 3.0800e+01\n",
      " 3.6200e+01 2.9300e+01 3.6100e+01 2.7900e+01 3.0100e+01 2.7100e+01\n",
      " 2.8500e+01 2.8100e+01 2.9500e+01 2.8400e+01 2.9600e+01 2.7500e+01\n",
      " 2.9700e+01 2.9000e+01 2.7200e+01 2.5400e+01 2.8900e+01 9.9999e+04\n",
      " 3.6800e+01 2.8800e+01 2.7400e+01 3.6300e+01 3.6400e+01 3.6500e+01\n",
      " 2.8300e+01 2.7800e+01 2.8200e+01 2.7700e+01 2.7600e+01 2.8700e+01\n",
      " 2.7000e+01 3.6900e+01 2.6500e+01 2.8000e+01 2.6200e+01 2.6800e+01\n",
      " 2.7300e+01 2.5600e+01 3.7000e+01 2.4700e+01 3.6700e+01 2.4800e+01\n",
      " 2.6400e+01 2.5700e+01 3.7600e+01 3.7100e+01 2.6000e+01 2.5900e+01\n",
      " 5.4300e+01 3.8100e+01 3.7200e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 34.4 33.8 33.3 32.1 31.6 33.1 34.3 32.7 32.5 32.9 34.  33.6 32.3\n",
      " 34.2 32.8 35.4 32.4 32.  31.4 33.  33.9 33.7 32.2 34.8 31.7 34.7 35.2\n",
      " 33.2 34.6 33.5 32.6 31.9 31.1 31.5 29.9 35.3 35.1 31.8 29.4 35.6 34.9\n",
      " 33.4 34.1 30.7 35.8 30.3 26.9 35.9 34.5 36.  29.8 35.5 31.  29.1 36.6\n",
      " 31.3 28.6 31.2 35.7 26.3 30.4 35.  30.  30.9 30.2 29.2 30.5 30.6 24.2\n",
      " 30.8 36.2 29.3 36.1 27.9 30.1 27.1 28.5 28.1 29.5 28.4 29.6 27.5 29.7\n",
      " 29.  27.2 25.4 28.9 36.8 28.8 27.4 36.3 36.4 36.5 28.3 27.8 28.2 27.7\n",
      " 27.6 28.7 27.  36.9 26.5 28.  26.2 26.8 27.3 25.6 37.  24.7 36.7 24.8\n",
      " 26.4 25.7 37.6 37.1 26.  25.9 54.3 38.1 37.2]\n",
      "-----------------------------------------\n",
      "NC1_T_BIL total_bilirubin@(x!=66666)&(x!=77777)&(x!=99999)@x [6.6666e+04        nan 6.8000e-01 1.2900e+00 8.7000e-01 7.7000e-01\n",
      " 1.2600e+00 1.2500e+00 7.2000e-01 7.3000e-01 6.2000e-01 9.0000e-01\n",
      " 4.6000e-01 2.9500e+00 8.3000e-01 1.1400e+00 7.4000e-01 1.0000e+00\n",
      " 9.9000e-01 1.1000e+00 8.5000e-01 9.5000e-01 8.0000e-01 3.9000e-01\n",
      " 6.5000e-01 1.6600e+00 6.0000e-01 6.7000e-01 8.9000e-01 1.0600e+00\n",
      " 5.5000e-01 8.4000e-01 1.4700e+00 9.8000e-01 7.6000e-01 6.9000e-01\n",
      " 6.6000e-01 1.2200e+00 5.2000e-01 5.9000e-01 1.2100e+00 1.0300e+00\n",
      " 9.4000e-01 7.8000e-01 8.8000e-01 1.2700e+00 5.8000e-01 1.4200e+00\n",
      " 2.4000e-01 2.1000e+00 8.2000e-01 1.3500e+00 1.1200e+00 1.2300e+00\n",
      " 5.7000e-01 1.0500e+00 7.1000e-01 1.1700e+00 1.1900e+00 9.7000e-01\n",
      " 4.9000e-01 1.2000e+00 1.1600e+00 9.2000e-01 2.0000e+00 8.6000e-01\n",
      " 3.6000e-01 1.0800e+00 5.6000e-01 1.0900e+00 9.6000e-01 1.3800e+00\n",
      " 9.1000e-01 7.0000e-01 1.0100e+00 2.0300e+00 6.1000e-01 1.0400e+00\n",
      " 9.3000e-01 7.9000e-01 2.1500e+00 4.2000e-01 6.3000e-01 1.9700e+00\n",
      " 1.3700e+00 8.1000e-01 1.4800e+00 6.4000e-01 1.7900e+00 5.0000e-01\n",
      " 1.1100e+00 3.3000e-01 1.9900e+00 1.2400e+00 4.3000e-01 1.0200e+00\n",
      " 4.1000e-01 7.5000e-01 1.3000e+00 3.5000e-01 4.8000e-01 1.4300e+00\n",
      " 4.5000e-01 4.7000e-01 1.8300e+00 3.7000e-01 1.3200e+00 5.4000e-01\n",
      " 1.6000e+00 1.6900e+00 1.1800e+00 2.0000e-01 1.3400e+00 1.5400e+00\n",
      " 1.8900e+00 1.4900e+00 1.2800e+00 1.1500e+00 5.3000e-01 3.8000e-01\n",
      " 1.4600e+00 1.3600e+00 1.0700e+00 2.0900e+00 1.7800e+00 1.5300e+00\n",
      " 5.1000e-01 4.4000e-01 3.0000e-01 2.3200e+00 1.1300e+00 1.3900e+00\n",
      " 1.5100e+00 1.9000e+00 1.7600e+00 1.4100e+00 3.4000e-01 1.7400e+00\n",
      " 1.8400e+00 1.9800e+00 1.5900e+00 2.4800e+00 2.1800e+00 2.1100e+00\n",
      " 2.4900e+00 4.0000e-01 3.1000e-01 1.5200e+00 1.6300e+00 1.5600e+00\n",
      " 2.6000e+00 2.9000e-01 1.5000e+00 1.7700e+00 1.6400e+00 1.7200e+00\n",
      " 2.7800e+00 2.2600e+00 1.4000e+00 1.4500e+00 1.3300e+00 2.1700e+00\n",
      " 2.6000e-01 1.4400e+00 1.3100e+00 1.9100e+00 3.2000e-01 2.0500e+00\n",
      " 2.3100e+00 1.7300e+00 1.6500e+00 2.0400e+00 1.6100e+00 1.7000e+00\n",
      " 2.5000e-01 1.6700e+00 1.9600e+00 2.6600e+00 1.5500e+00 1.7100e+00\n",
      " 2.3300e+00 2.5100e+00 1.8500e+00 1.8000e+00 2.1600e+00 1.8100e+00\n",
      " 2.2300e+00 1.9300e+00 1.8600e+00 1.9400e+00 2.8000e-01 2.6500e+00\n",
      " 1.6200e+00 3.1400e+00 1.8200e+00 2.4600e+00 1.5700e+00 2.0100e+00\n",
      " 2.8700e+00 2.0700e+00 1.5800e+00 2.5500e+00 2.3800e+00 1.6800e+00\n",
      " 2.3400e+00 2.2000e+00 2.8000e+00 7.1900e+00 2.2400e+00 1.8700e+00\n",
      " 1.8800e+00 3.4500e+00 2.8400e+00 2.9000e+00 2.3700e+00 2.5300e+00\n",
      " 2.3000e-01 2.1200e+00 1.7500e+00 9.9999e+04 2.2800e+00 2.2500e+00\n",
      " 2.1900e+00 2.0600e+00 2.1300e+00 2.9800e+00 2.0200e+00 2.1000e-01\n",
      " 2.2100e+00 3.6500e+00]\n",
      "# of filtered=1 before:  118\n",
      "# of filtered=2 after:  4 , conversion unique [ nan 0.68 1.29 0.87 0.77 1.26 1.25 0.72 0.73 0.62 0.9  0.46 2.95 0.83\n",
      " 1.14 0.74 1.   0.99 1.1  0.85 0.95 0.8  0.39 0.65 1.66 0.6  0.67 0.89\n",
      " 1.06 0.55 0.84 1.47 0.98 0.76 0.69 0.66 1.22 0.52 0.59 1.21 1.03 0.94\n",
      " 0.78 0.88 1.27 0.58 1.42 0.24 2.1  0.82 1.35 1.12 1.23 0.57 1.05 0.71\n",
      " 1.17 1.19 0.97 0.49 1.2  1.16 0.92 2.   0.86 0.36 1.08 0.56 1.09 0.96\n",
      " 1.38 0.91 0.7  1.01 2.03 0.61 1.04 0.93 0.79 2.15 0.42 0.63 1.97 1.37\n",
      " 0.81 1.48 0.64 1.79 0.5  1.11 0.33 1.99 1.24 0.43 1.02 0.41 0.75 1.3\n",
      " 0.35 0.48 1.43 0.45 0.47 1.83 0.37 1.32 0.54 1.6  1.69 1.18 0.2  1.34\n",
      " 1.54 1.89 1.49 1.28 1.15 0.53 0.38 1.46 1.36 1.07 2.09 1.78 1.53 0.51\n",
      " 0.44 0.3  2.32 1.13 1.39 1.51 1.9  1.76 1.41 0.34 1.74 1.84 1.98 1.59\n",
      " 2.48 2.18 2.11 2.49 0.4  0.31 1.52 1.63 1.56 2.6  0.29 1.5  1.77 1.64\n",
      " 1.72 2.78 2.26 1.4  1.45 1.33 2.17 0.26 1.44 1.31 1.91 0.32 2.05 2.31\n",
      " 1.73 1.65 2.04 1.61 1.7  0.25 1.67 1.96 2.66 1.55 1.71 2.33 2.51 1.85\n",
      " 1.8  2.16 1.81 2.23 1.93 1.86 1.94 0.28 2.65 1.62 3.14 1.82 2.46 1.57\n",
      " 2.01 2.87 2.07 1.58 2.55 2.38 1.68 2.34 2.2  2.8  7.19 2.24 1.87 1.88\n",
      " 3.45 2.84 2.9  2.37 2.53 0.23 2.12 1.75 2.28 2.25 2.19 2.06 2.13 2.98\n",
      " 2.02 0.21 2.21 3.65]\n",
      "-----------------------------------------\n",
      "CT1_TBILIR total_bilirubin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 7.0000e-01 1.3000e+00 8.0000e-01 5.0000e-01\n",
      " 3.0000e-01 4.0000e-01 6.0000e-01 1.0000e+00 1.5000e+00 1.6000e+00\n",
      " 9.0000e-01 1.2000e+00 1.1000e+00 2.0000e+00 1.7000e+00 2.8000e+00\n",
      " 1.8000e+00 1.9000e+00 1.4000e+00 2.7000e+00 2.4000e+00 9.9999e+04\n",
      " 2.3000e+00 2.0000e-01 2.5000e+00 2.1000e+00 2.2000e+00 2.6000e+00\n",
      " 5.1000e+00 3.0000e+00 2.9000e+00 3.3000e+00 3.8000e+00 4.4000e+00\n",
      " 1.0000e-01 3.1000e+00 4.3000e+00 3.2000e+00 3.6000e+00 3.4000e+00\n",
      " 3.5000e+00 5.6000e+00 5.2000e+00 5.3000e+00 1.1000e+01 4.2000e+00\n",
      " 5.4000e+00]\n",
      "# of filtered=1 before:  3741\n",
      "# of filtered=2 after:  96 , conversion unique [ nan  0.7  1.3  0.8  0.5  0.3  0.4  0.6  1.   1.5  1.6  0.9  1.2  1.1\n",
      "  2.   1.7  2.8  1.8  1.9  1.4  2.7  2.4  2.3  0.2  2.5  2.1  2.2  2.6\n",
      "  5.1  3.   2.9  3.3  3.8  4.4  0.1  3.1  4.3  3.2  3.6  3.4  3.5  5.6\n",
      "  5.2  5.3 11.   4.2  5.4]\n",
      "-----------------------------------------\n",
      "AS1_TOTBIL total_bilirubin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.3000e-01 5.7000e-01 3.9000e-01 9.5000e-01 3.1000e-01\n",
      " 1.2600e+00 3.3000e-01 4.4000e-01 2.7000e-01 3.0000e-01 1.2100e+00\n",
      " 3.6000e-01 4.7000e-01 5.3000e-01 8.2000e-01 4.5000e-01 5.1000e-01\n",
      " 4.6000e-01 4.8000e-01 2.1300e+00 9.1000e-01 6.8000e-01 9.9000e-01\n",
      " 7.3000e-01 8.9000e-01 7.4000e-01 7.8000e-01 4.0000e-01 5.2000e-01\n",
      " 8.3000e-01 8.1000e-01 7.2000e-01 5.4000e-01 1.0800e+00 4.1000e-01\n",
      " 3.4000e-01 4.2000e-01 4.9000e-01 3.8000e-01 3.5000e-01 8.0000e-01\n",
      " 8.7000e-01 1.3000e+00 6.6000e-01 1.0300e+00 7.1000e-01 3.7000e-01\n",
      " 6.1000e-01 3.2000e-01 5.8000e-01 5.5000e-01 7.0000e-01 6.2000e-01\n",
      " 7.7000e-01 5.6000e-01 1.0900e+00 6.4000e-01 6.3000e-01 1.3500e+00\n",
      " 6.5000e-01 8.6000e-01 7.9000e-01 6.7000e-01 1.0400e+00 1.0600e+00\n",
      " 2.4000e-01 2.9000e-01 1.1800e+00 5.9000e-01 9.2000e-01 2.0000e-01\n",
      " 5.0000e-01 8.8000e-01 7.6000e-01 8.5000e-01 2.3000e-01 6.9000e-01\n",
      " 9.7000e-01 1.1400e+00 9.8000e-01 1.5200e+00 2.6000e-01 2.2000e-01\n",
      " 1.3600e+00 9.6000e-01 2.1000e-01 1.3400e+00 2.7300e+00 1.8000e-01\n",
      " 1.2500e+00 2.8000e-01 1.0200e+00 1.4300e+00 1.5900e+00 1.7000e-01\n",
      " 1.1500e+00 2.2200e+00 6.0000e-01 1.6100e+00 1.3900e+00 1.4500e+00\n",
      " 2.5300e+00 9.4000e-01 1.2200e+00 1.0500e+00 1.7700e+00 1.1900e+00\n",
      " 1.7000e+00 1.1100e+00 2.5000e-01 1.0100e+00 1.4700e+00 1.4000e+00\n",
      " 9.3000e-01 1.1600e+00 7.5000e-01 1.4400e+00 1.0700e+00 2.0800e+00\n",
      " 1.3100e+00 2.4600e+00 8.4000e-01 1.1300e+00 1.5800e+00 1.0000e+00\n",
      " 1.6000e-01 1.7600e+00 1.6900e+00 1.9800e+00 1.1000e+00 1.5700e+00\n",
      " 1.3700e+00 9.0000e-01 1.4900e+00 1.1200e+00 1.1700e+00 2.2800e+00\n",
      " 1.9000e-01 1.5000e+00 2.3800e+00 2.9800e+00 1.3200e+00 1.2400e+00\n",
      " 1.2300e+00 1.6800e+00 1.3800e+00 1.2800e+00 1.2000e+00 2.1700e+00\n",
      " 1.9100e+00 2.3700e+00 1.2900e+00 1.6200e+00 1.6400e+00 1.2700e+00\n",
      " 4.0200e+00 8.6700e+00 1.7100e+00 1.8900e+00 1.4100e+00 1.5600e+00\n",
      " 1.6500e+00 1.5500e+00 2.1200e+00 1.9300e+00 2.7900e+00 1.4600e+00\n",
      " 2.0300e+00 1.6700e+00 1.4800e+00 1.9400e+00 2.4300e+00 1.7200e+00\n",
      " 2.4400e+00 1.6600e+00 2.2300e+00 2.2400e+00 1.5100e+00 1.4200e+00\n",
      " 1.5000e-01 2.1400e+00 1.7900e+00 1.8800e+00 1.9600e+00 2.5600e+00\n",
      " 1.4000e-01 1.5400e+00 1.3300e+00 1.7300e+00 2.7000e+00 1.6000e+00\n",
      " 1.9000e+00 2.8700e+00 2.1600e+00 3.3200e+00 1.8300e+00 1.7800e+00\n",
      " 2.6300e+00 1.5300e+00 1.6300e+00 1.8000e+00 3.7400e+00 3.3000e+00\n",
      " 1.9900e+00 2.0900e+00 2.4700e+00 2.5400e+00 2.0600e+00 3.5800e+00\n",
      " 1.8100e+00 1.7400e+00 9.9999e+04 1.1000e-01 2.1800e+00 2.0000e+00\n",
      " 2.0500e+00 2.1100e+00 3.5000e+00]\n",
      "# of filtered=1 before:  21\n",
      "# of filtered=2 after:  1 , conversion unique [ nan 0.43 0.57 0.39 0.95 0.31 1.26 0.33 0.44 0.27 0.3  1.21 0.36 0.47\n",
      " 0.53 0.82 0.45 0.51 0.46 0.48 2.13 0.91 0.68 0.99 0.73 0.89 0.74 0.78\n",
      " 0.4  0.52 0.83 0.81 0.72 0.54 1.08 0.41 0.34 0.42 0.49 0.38 0.35 0.8\n",
      " 0.87 1.3  0.66 1.03 0.71 0.37 0.61 0.32 0.58 0.55 0.7  0.62 0.77 0.56\n",
      " 1.09 0.64 0.63 1.35 0.65 0.86 0.79 0.67 1.04 1.06 0.24 0.29 1.18 0.59\n",
      " 0.92 0.2  0.5  0.88 0.76 0.85 0.23 0.69 0.97 1.14 0.98 1.52 0.26 0.22\n",
      " 1.36 0.96 0.21 1.34 2.73 0.18 1.25 0.28 1.02 1.43 1.59 0.17 1.15 2.22\n",
      " 0.6  1.61 1.39 1.45 2.53 0.94 1.22 1.05 1.77 1.19 1.7  1.11 0.25 1.01\n",
      " 1.47 1.4  0.93 1.16 0.75 1.44 1.07 2.08 1.31 2.46 0.84 1.13 1.58 1.\n",
      " 0.16 1.76 1.69 1.98 1.1  1.57 1.37 0.9  1.49 1.12 1.17 2.28 0.19 1.5\n",
      " 2.38 2.98 1.32 1.24 1.23 1.68 1.38 1.28 1.2  2.17 1.91 2.37 1.29 1.62\n",
      " 1.64 1.27 4.02 8.67 1.71 1.89 1.41 1.56 1.65 1.55 2.12 1.93 2.79 1.46\n",
      " 2.03 1.67 1.48 1.94 2.43 1.72 2.44 1.66 2.23 2.24 1.51 1.42 0.15 2.14\n",
      " 1.79 1.88 1.96 2.56 0.14 1.54 1.33 1.73 2.7  1.6  1.9  2.87 2.16 3.32\n",
      " 1.83 1.78 2.63 1.53 1.63 1.8  3.74 3.3  1.99 2.09 2.47 2.54 2.06 3.58\n",
      " 1.81 1.74 0.11 2.18 2.   2.05 2.11 3.5 ]\n",
      "-----------------------------------------\n",
      "NC1_BUN bun@(x!=66666)&(x!=77777)&(x!=99999)@x [9.6000e+00 1.4000e+01 1.4200e+01 1.5100e+01 1.2300e+01 1.3200e+01\n",
      " 1.5300e+01 1.2200e+01 1.4300e+01 1.6100e+01 1.8600e+01 1.0400e+01\n",
      " 1.2500e+01 1.5800e+01 2.6700e+01 1.8000e+01 1.8800e+01 1.5900e+01\n",
      " 2.0500e+01 1.3700e+01 1.1800e+01 1.9200e+01 3.1500e+01 1.6500e+01\n",
      " 2.1800e+01 1.1100e+01 1.5400e+01 1.7800e+01 2.2500e+01 2.0700e+01\n",
      " 1.8300e+01 1.3600e+01 1.2100e+01 1.7500e+01 1.8500e+01 2.2600e+01\n",
      " 1.3100e+01 2.3800e+01 1.9600e+01 9.1000e+00 1.1000e+01 1.9800e+01\n",
      " 8.6000e+00 8.1000e+00 1.6200e+01 2.7600e+01 1.5700e+01 2.1200e+01\n",
      " 2.0600e+01 1.3300e+01 1.3900e+01 1.9300e+01 1.7100e+01 1.4500e+01\n",
      " 1.9400e+01 1.7000e+01 8.9000e+00 1.4100e+01 2.3000e+01 1.7700e+01\n",
      " 1.9000e+01 1.5600e+01 1.1200e+01 1.8900e+01 2.4200e+01 1.0900e+01\n",
      " 1.5200e+01 2.9800e+01 2.4400e+01 1.4600e+01 2.2800e+01 1.0300e+01\n",
      " 1.4900e+01 9.3000e+00 2.0200e+01 2.0100e+01 1.3500e+01 1.6300e+01\n",
      " 1.3400e+01 1.1900e+01 1.7600e+01 2.5300e+01 1.6700e+01 1.6400e+01\n",
      " 1.2800e+01 2.1400e+01 1.4400e+01 1.3800e+01 1.2600e+01 1.9700e+01\n",
      " 2.6100e+01 2.3200e+01 2.2000e+01 1.1600e+01 1.8700e+01 1.2000e+01\n",
      " 1.7900e+01 1.8400e+01 1.6900e+01 1.9900e+01 1.5000e+01 1.9100e+01\n",
      " 7.4000e+00 1.5500e+01 1.4700e+01 2.6000e+01 1.1300e+01 2.8500e+01\n",
      " 2.0800e+01 2.3600e+01 1.1400e+01 1.6600e+01 2.3100e+01 2.1000e+01\n",
      " 1.1700e+01 2.0000e+01 2.4700e+01 1.8200e+01 1.3000e+01 2.7300e+01\n",
      " 1.0700e+01 6.9000e+00 8.4000e+00 1.2400e+01 9.2000e+00 1.0800e+01\n",
      " 2.1600e+01 1.0100e+01 1.7300e+01 1.7200e+01 2.2700e+01 1.1500e+01\n",
      " 1.7400e+01 1.8100e+01 2.1100e+01 1.2900e+01 2.0400e+01 2.3500e+01\n",
      " 2.2200e+01 9.7000e+00 2.0900e+01 1.9500e+01 2.1700e+01 1.4800e+01\n",
      " 1.0200e+01 2.3300e+01 2.9700e+01 7.8000e+00 9.5000e+00 2.1500e+01\n",
      " 3.0500e+01 9.0000e+00 3.0000e+01 1.0600e+01 9.8000e+00 2.5600e+01\n",
      " 2.4100e+01 1.0500e+01 3.4000e+01 2.0300e+01 7.5000e+00 1.6800e+01\n",
      " 1.6000e+01 2.8400e+01 2.2400e+01 8.7000e+00 2.2100e+01 2.6400e+01\n",
      " 9.9000e+00 1.2700e+01 2.1900e+01 2.5900e+01 2.4300e+01 2.8900e+01\n",
      " 3.4300e+01 8.2000e+00 2.2900e+01 2.6900e+01 3.6800e+01 2.3400e+01\n",
      " 2.4000e+01 2.8000e+01 3.3600e+01 2.7000e+01 3.1300e+01 2.5100e+01\n",
      " 8.5000e+00 2.6500e+01 2.4800e+01 3.0900e+01 3.5200e+01 2.9000e+01\n",
      " 3.2000e+01 8.8000e+00 6.6000e+00 3.5700e+01 2.9600e+01 7.5100e+01\n",
      " 3.0300e+01 2.9900e+01 2.5800e+01 7.9000e+00 3.2900e+01 1.0000e+01\n",
      " 2.9200e+01 3.0600e+01 5.2600e+01 6.8000e+00 3.2100e+01 2.5500e+01\n",
      " 2.7100e+01 2.6200e+01 7.3000e+00 7.1000e+00 2.8700e+01 4.2700e+01\n",
      " 2.1300e+01 2.2300e+01 3.1200e+01 2.3900e+01 2.5400e+01 2.8600e+01\n",
      " 2.9400e+01 8.3000e+00 2.9300e+01 3.4200e+01 2.5200e+01 2.7500e+01\n",
      " 3.7400e+01 2.6600e+01 2.3700e+01 7.2000e+00 3.1700e+01 3.2300e+01\n",
      " 2.9500e+01 2.7700e+01 7.6000e+00 9.4000e+00 2.6800e+01 7.7000e+00\n",
      " 6.7000e+00 2.4500e+01 4.3300e+01 3.0200e+01 3.5000e+01 2.5000e+01\n",
      " 3.6600e+01 2.5700e+01 3.8900e+01 3.3000e+01 2.8300e+01 3.0700e+01\n",
      " 2.6300e+01 2.7400e+01 3.1800e+01 2.7200e+01 2.4900e+01 5.0500e+01\n",
      " 2.8100e+01 2.8800e+01 8.0300e+01 3.9600e+01 6.1000e+00 4.1700e+01\n",
      " 2.7900e+01 3.6300e+01 3.1600e+01 2.4600e+01 2.9100e+01 3.0100e+01\n",
      " 3.7100e+01 3.3400e+01 3.6500e+01 3.4100e+01 4.1600e+01 4.1300e+01\n",
      "        nan 4.9100e+01 3.5800e+01 8.0000e+00 3.4600e+01 4.0200e+01\n",
      " 3.4900e+01 3.2800e+01 6.3000e+00 6.0000e+00 3.2200e+01 3.0400e+01\n",
      " 3.3100e+01 4.7400e+01 3.1900e+01 4.3600e+01 3.2400e+01 4.0100e+01\n",
      " 6.5000e+00 5.9000e+00 5.1000e+00 7.0000e+00 3.9100e+01 5.6000e+00\n",
      " 6.4000e+00 5.7000e+00 3.5400e+01 2.8200e+01 3.3500e+01 4.0800e+01\n",
      " 2.7800e+01 3.1400e+01 3.4500e+01 3.4700e+01 9.9999e+04 5.2000e+00\n",
      " 3.8100e+01 3.7900e+01 5.3600e+01 5.3000e+00 5.4300e+01 5.4000e+01\n",
      " 6.2000e+00 6.9600e+01 3.3300e+01 3.3900e+01 3.7000e+01 1.7410e+02\n",
      " 3.2700e+01 4.7900e+01 3.2500e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  9.6  14.   14.2  15.1  12.3  13.2  15.3  12.2  14.3  16.1  18.6  10.4\n",
      "  12.5  15.8  26.7  18.   18.8  15.9  20.5  13.7  11.8  19.2  31.5  16.5\n",
      "  21.8  11.1  15.4  17.8  22.5  20.7  18.3  13.6  12.1  17.5  18.5  22.6\n",
      "  13.1  23.8  19.6   9.1  11.   19.8   8.6   8.1  16.2  27.6  15.7  21.2\n",
      "  20.6  13.3  13.9  19.3  17.1  14.5  19.4  17.    8.9  14.1  23.   17.7\n",
      "  19.   15.6  11.2  18.9  24.2  10.9  15.2  29.8  24.4  14.6  22.8  10.3\n",
      "  14.9   9.3  20.2  20.1  13.5  16.3  13.4  11.9  17.6  25.3  16.7  16.4\n",
      "  12.8  21.4  14.4  13.8  12.6  19.7  26.1  23.2  22.   11.6  18.7  12.\n",
      "  17.9  18.4  16.9  19.9  15.   19.1   7.4  15.5  14.7  26.   11.3  28.5\n",
      "  20.8  23.6  11.4  16.6  23.1  21.   11.7  20.   24.7  18.2  13.   27.3\n",
      "  10.7   6.9   8.4  12.4   9.2  10.8  21.6  10.1  17.3  17.2  22.7  11.5\n",
      "  17.4  18.1  21.1  12.9  20.4  23.5  22.2   9.7  20.9  19.5  21.7  14.8\n",
      "  10.2  23.3  29.7   7.8   9.5  21.5  30.5   9.   30.   10.6   9.8  25.6\n",
      "  24.1  10.5  34.   20.3   7.5  16.8  16.   28.4  22.4   8.7  22.1  26.4\n",
      "   9.9  12.7  21.9  25.9  24.3  28.9  34.3   8.2  22.9  26.9  36.8  23.4\n",
      "  24.   28.   33.6  27.   31.3  25.1   8.5  26.5  24.8  30.9  35.2  29.\n",
      "  32.    8.8   6.6  35.7  29.6  75.1  30.3  29.9  25.8   7.9  32.9  10.\n",
      "  29.2  30.6  52.6   6.8  32.1  25.5  27.1  26.2   7.3   7.1  28.7  42.7\n",
      "  21.3  22.3  31.2  23.9  25.4  28.6  29.4   8.3  29.3  34.2  25.2  27.5\n",
      "  37.4  26.6  23.7   7.2  31.7  32.3  29.5  27.7   7.6   9.4  26.8   7.7\n",
      "   6.7  24.5  43.3  30.2  35.   25.   36.6  25.7  38.9  33.   28.3  30.7\n",
      "  26.3  27.4  31.8  27.2  24.9  50.5  28.1  28.8  80.3  39.6   6.1  41.7\n",
      "  27.9  36.3  31.6  24.6  29.1  30.1  37.1  33.4  36.5  34.1  41.6  41.3\n",
      "   nan  49.1  35.8   8.   34.6  40.2  34.9  32.8   6.3   6.   32.2  30.4\n",
      "  33.1  47.4  31.9  43.6  32.4  40.1   6.5   5.9   5.1   7.   39.1   5.6\n",
      "   6.4   5.7  35.4  28.2  33.5  40.8  27.8  31.4  34.5  34.7   5.2  38.1\n",
      "  37.9  53.6   5.3  54.3  54.    6.2  69.6  33.3  33.9  37.  174.1  32.7\n",
      "  47.9  32.5]\n",
      "-----------------------------------------\n",
      "CT1_BUN bun@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.2100e+01 1.7000e+01 2.1000e+01 1.3000e+01 1.4200e+01\n",
      " 1.4000e+01 1.6000e+01 1.5500e+01 2.0000e+01 1.2000e+01 2.0800e+01\n",
      " 1.0000e+01 2.5000e+01 1.5000e+01 1.8000e+01 1.3400e+01 1.9000e+01\n",
      " 1.7300e+01 1.6300e+01 1.4500e+01 9.0000e+00 1.7100e+01 1.1000e+01\n",
      " 8.0000e+00 1.2900e+01 2.6700e+01 1.7700e+01 1.6200e+01 1.4700e+01\n",
      " 8.7000e+00 8.6000e+00 1.5900e+01 1.8300e+01 1.9300e+01 1.5300e+01\n",
      " 1.8600e+01 1.6400e+01 1.4400e+01 2.2000e+01 1.0600e+01 1.1800e+01\n",
      " 3.3000e+01 1.0500e+01 1.3200e+01 1.7500e+01 7.0000e+00 1.4600e+01\n",
      " 1.3700e+01 1.5200e+01 2.3000e+01 2.1100e+01 1.8800e+01 1.3100e+01\n",
      " 1.7900e+01 1.2600e+01 1.6600e+01 1.8900e+01 9.5000e+00 1.2400e+01\n",
      " 1.5600e+01 1.0800e+01 1.9500e+01 1.1700e+01 1.8200e+01 1.0200e+01\n",
      " 1.4100e+01 1.8400e+01 1.2500e+01 1.1500e+01 1.3800e+01 6.0000e+00\n",
      " 1.4900e+01 3.0000e+01 1.1900e+01 1.9700e+01 2.6000e+01 2.1200e+01\n",
      " 9.2000e+00 1.6100e+01 9.3000e+00 1.5800e+01 2.0500e+01 2.0700e+01\n",
      " 1.6900e+01 1.5400e+01 1.5700e+01 1.0900e+01 1.8700e+01 1.0700e+01\n",
      " 2.4000e+01 1.5100e+01 2.3500e+01 1.7400e+01 2.0300e+01 1.7800e+01\n",
      " 1.3500e+01 1.7200e+01 2.9300e+01 1.2200e+01 1.0300e+01 1.9200e+01\n",
      " 1.3300e+01 1.9600e+01 2.4600e+01 2.1300e+01 1.9100e+01 2.2700e+01\n",
      " 2.9000e+01 1.4300e+01 1.2800e+01 2.5200e+01 2.3200e+01 2.0100e+01\n",
      " 1.8100e+01 3.3200e+01 1.3600e+01 1.6800e+01 1.2300e+01 1.7600e+01\n",
      " 1.3900e+01 1.1400e+01 1.0400e+01 2.5700e+01 9.4000e+00 3.4000e+01\n",
      " 1.9900e+01 2.6300e+01 9.9000e+00 1.8500e+01 3.2000e+01 2.1400e+01\n",
      " 1.1600e+01 1.2700e+01 4.3000e+01 2.8000e+01 2.4100e+01 2.1700e+01\n",
      " 1.4800e+01 1.6700e+01 7.9000e+00 9.6000e+00 1.0100e+01 9.8000e+00\n",
      " 2.2600e+01 9.1000e+00 2.8200e+01 2.2500e+01 1.9400e+01 2.3100e+01\n",
      " 1.1100e+01 2.1600e+01 4.1400e+01 8.5000e+00 2.3300e+01 2.9200e+01\n",
      " 2.5500e+01 2.7000e+01 1.6500e+01 2.1800e+01 2.1900e+01 6.4000e+01\n",
      " 2.2400e+01 1.1200e+01 7.4000e+00 3.1000e+01 7.7000e+00 9.9999e+04\n",
      " 2.6600e+01 2.0200e+01 1.9800e+01 2.5800e+01 8.1000e+00 2.2800e+01\n",
      " 2.2200e+01 7.5000e+00 2.0400e+01 9.7000e+00 6.9000e+00 1.1300e+01\n",
      " 5.2000e+00 2.7100e+01 3.6300e+01 8.8000e+00 2.5300e+01 6.4000e+00\n",
      " 2.5100e+01 6.8000e+00 2.3400e+01 2.8500e+01 8.9000e+00 2.0900e+01\n",
      " 2.0600e+01 2.6400e+01 2.4200e+01 5.7100e+01 2.1500e+01 2.3800e+01\n",
      " 6.2000e+00 2.8300e+01 6.5000e+00 2.2300e+01 4.2300e+01 7.1000e+00\n",
      " 2.9100e+01 2.2100e+01 2.3900e+01 5.0000e+01 7.6000e+00 3.8000e+01\n",
      " 2.3600e+01 2.4400e+01 2.6100e+01 2.4800e+01 2.4300e+01 3.2600e+01\n",
      " 2.4500e+01 7.3000e+00 2.4900e+01 2.2900e+01 8.4000e+00 3.0400e+01\n",
      " 2.5900e+01 6.6000e+00 5.0000e+00 2.7500e+01 2.6900e+01 4.1700e+01\n",
      " 2.5600e+01 2.4700e+01 7.3500e+01 8.3000e+00 3.5000e+01 2.5400e+01\n",
      " 4.0000e+01 5.7000e+00 7.8000e+00 8.2000e+00 3.2400e+01 8.4000e+01\n",
      " 2.9900e+01 2.8700e+01 2.9400e+01 2.8100e+01 7.2000e+00 4.2000e+01\n",
      " 2.7700e+01 9.5000e+01 6.3000e+00 2.7600e+01 2.8600e+01 3.0500e+01\n",
      " 2.8800e+01 3.1100e+01 3.3400e+01 6.7000e+00 2.7400e+01 3.7000e+01\n",
      " 2.7800e+01 2.8400e+01 2.9700e+01 6.1000e+00 2.6200e+01 2.3700e+01\n",
      " 3.1200e+01 4.5000e+01 2.6500e+01 5.7000e+01 3.9000e+01 5.8000e+00\n",
      " 5.2000e+01 3.0300e+01 4.9400e+01 6.5900e+01 4.7000e+01 3.6000e+01\n",
      " 3.7500e+01 3.2200e+01 7.1000e+01 3.2100e+01 4.0500e+01 5.5000e+01\n",
      " 3.1800e+01 4.6000e+01 5.1000e+00 5.9000e+00 6.9000e+01 4.5700e+01\n",
      " 3.5900e+01 6.6500e+01 2.6800e+01 3.0700e+01 4.0200e+01 3.5700e+01\n",
      " 8.0000e+01 4.9200e+01 3.9100e+01 3.0200e+01 2.7300e+01 4.1000e+01\n",
      " 3.2800e+01 9.4000e+01 2.7200e+01 5.3000e+00 3.0800e+01 4.8000e+01\n",
      " 4.2200e+01 3.7900e+01 3.8200e+01 4.4000e+01 3.0600e+01 6.2000e+01\n",
      " 5.1000e+01 5.8000e+01 3.8100e+01 3.6900e+01 3.7300e+01 4.9000e+01\n",
      " 6.8000e+01 7.2000e+01 2.7900e+01 7.0700e+01 5.6000e+00 5.5000e+00\n",
      " 6.1000e+01 5.4000e+00 6.3000e+01 5.4000e+01 6.6000e+01 4.4600e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 12.1 17.  21.  13.  14.2 14.  16.  15.5 20.  12.  20.8 10.  25.\n",
      " 15.  18.  13.4 19.  17.3 16.3 14.5  9.  17.1 11.   8.  12.9 26.7 17.7\n",
      " 16.2 14.7  8.7  8.6 15.9 18.3 19.3 15.3 18.6 16.4 14.4 22.  10.6 11.8\n",
      " 33.  10.5 13.2 17.5  7.  14.6 13.7 15.2 23.  21.1 18.8 13.1 17.9 12.6\n",
      " 16.6 18.9  9.5 12.4 15.6 10.8 19.5 11.7 18.2 10.2 14.1 18.4 12.5 11.5\n",
      " 13.8  6.  14.9 30.  11.9 19.7 26.  21.2  9.2 16.1  9.3 15.8 20.5 20.7\n",
      " 16.9 15.4 15.7 10.9 18.7 10.7 24.  15.1 23.5 17.4 20.3 17.8 13.5 17.2\n",
      " 29.3 12.2 10.3 19.2 13.3 19.6 24.6 21.3 19.1 22.7 29.  14.3 12.8 25.2\n",
      " 23.2 20.1 18.1 33.2 13.6 16.8 12.3 17.6 13.9 11.4 10.4 25.7  9.4 34.\n",
      " 19.9 26.3  9.9 18.5 32.  21.4 11.6 12.7 43.  28.  24.1 21.7 14.8 16.7\n",
      "  7.9  9.6 10.1  9.8 22.6  9.1 28.2 22.5 19.4 23.1 11.1 21.6 41.4  8.5\n",
      " 23.3 29.2 25.5 27.  16.5 21.8 21.9 64.  22.4 11.2  7.4 31.   7.7 26.6\n",
      " 20.2 19.8 25.8  8.1 22.8 22.2  7.5 20.4  9.7  6.9 11.3  5.2 27.1 36.3\n",
      "  8.8 25.3  6.4 25.1  6.8 23.4 28.5  8.9 20.9 20.6 26.4 24.2 57.1 21.5\n",
      " 23.8  6.2 28.3  6.5 22.3 42.3  7.1 29.1 22.1 23.9 50.   7.6 38.  23.6\n",
      " 24.4 26.1 24.8 24.3 32.6 24.5  7.3 24.9 22.9  8.4 30.4 25.9  6.6  5.\n",
      " 27.5 26.9 41.7 25.6 24.7 73.5  8.3 35.  25.4 40.   5.7  7.8  8.2 32.4\n",
      " 84.  29.9 28.7 29.4 28.1  7.2 42.  27.7 95.   6.3 27.6 28.6 30.5 28.8\n",
      " 31.1 33.4  6.7 27.4 37.  27.8 28.4 29.7  6.1 26.2 23.7 31.2 45.  26.5\n",
      " 57.  39.   5.8 52.  30.3 49.4 65.9 47.  36.  37.5 32.2 71.  32.1 40.5\n",
      " 55.  31.8 46.   5.1  5.9 69.  45.7 35.9 66.5 26.8 30.7 40.2 35.7 80.\n",
      " 49.2 39.1 30.2 27.3 41.  32.8 94.  27.2  5.3 30.8 48.  42.2 37.9 38.2\n",
      " 44.  30.6 62.  51.  58.  38.1 36.9 37.3 49.  68.  72.  27.9 70.7  5.6\n",
      "  5.5 61.   5.4 63.  54.  66.  44.6]\n",
      "-----------------------------------------\n",
      "AS1_BUN_TR bun@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.6600e+01 1.4100e+01 2.1000e+01 1.6500e+01 9.9000e+00\n",
      " 6.3000e+00 1.5800e+01 1.5500e+01 1.2800e+01 2.0800e+01 9.0000e+00\n",
      " 1.5900e+01 1.7500e+01 1.3400e+01 8.4000e+00 1.0900e+01 1.2100e+01\n",
      " 1.4700e+01 1.1800e+01 2.0500e+01 2.3200e+01 1.1700e+01 1.2000e+01\n",
      " 1.3600e+01 1.0000e+01 1.6300e+01 2.1800e+01 1.1400e+01 1.6000e+01\n",
      " 2.1300e+01 1.7600e+01 1.6400e+01 1.3100e+01 2.0900e+01 1.5700e+01\n",
      " 1.6200e+01 1.3300e+01 1.2200e+01 1.4600e+01 1.0600e+01 9.1000e+00\n",
      " 2.0700e+01 1.0700e+01 1.0100e+01 1.4400e+01 1.8500e+01 1.0500e+01\n",
      " 2.2700e+01 1.9100e+01 1.4500e+01 2.0300e+01 2.0200e+01 9.7000e+00\n",
      " 1.0800e+01 2.2500e+01 1.5600e+01 2.0000e+01 2.3400e+01 1.6100e+01\n",
      " 1.1300e+01 1.2400e+01 1.8000e+01 1.8200e+01 1.6700e+01 1.2600e+01\n",
      " 1.1200e+01 2.1400e+01 1.2300e+01 8.6000e+00 1.6900e+01 6.9000e+00\n",
      " 1.4300e+01 1.5100e+01 1.4000e+01 1.4200e+01 1.4800e+01 2.0100e+01\n",
      " 1.7400e+01 1.6800e+01 1.9700e+01 1.5400e+01 1.2700e+01 1.2500e+01\n",
      " 1.3800e+01 1.5300e+01 9.6000e+00 1.7800e+01 2.0400e+01 9.5000e+00\n",
      " 1.2900e+01 1.8900e+01 1.3000e+01 1.5200e+01 1.1600e+01 1.3900e+01\n",
      " 1.4900e+01 1.3700e+01 1.3500e+01 1.7300e+01 9.2000e+00 2.2400e+01\n",
      " 2.0600e+01 1.9000e+01 1.1900e+01 1.5000e+01 9.3000e+00 1.7700e+01\n",
      " 1.0300e+01 1.7100e+01 6.7000e+00 1.0400e+01 1.7000e+01 1.1100e+01\n",
      " 1.8400e+01 9.4000e+00 1.7200e+01 8.8000e+00 1.8600e+01 7.5000e+00\n",
      " 1.3200e+01 1.1000e+01 2.4300e+01 1.1500e+01 2.3000e+01 2.2900e+01\n",
      " 8.2000e+00 1.8700e+01 9.8000e+00 8.9000e+00 8.5000e+00 7.1000e+00\n",
      " 2.4000e+01 7.6000e+00 2.5700e+01 2.2200e+01 1.8800e+01 1.8300e+01\n",
      " 2.1900e+01 2.1700e+01 7.0000e+00 7.9000e+00 8.0000e+00 1.9300e+01\n",
      " 3.0200e+01 2.7800e+01 1.0200e+01 2.1500e+01 8.1000e+00 1.7900e+01\n",
      " 1.8100e+01 8.3000e+00 3.4100e+01 2.9300e+01 2.2100e+01 1.9600e+01\n",
      " 8.7000e+00 6.8000e+00 1.9500e+01 2.3600e+01 2.2000e+01 1.9200e+01\n",
      " 2.4100e+01 2.1100e+01 2.1600e+01 1.9400e+01 1.9800e+01 3.1100e+01\n",
      " 7.2000e+00 3.0600e+01 2.6100e+01 3.0900e+01 7.4000e+00 2.4400e+01\n",
      " 4.4200e+01 3.2000e+01 2.7600e+01 2.5500e+01 2.3900e+01 7.8000e+00\n",
      " 2.5300e+01 1.9900e+01 2.9200e+01 2.3100e+01 2.1200e+01 7.7000e+00\n",
      " 2.3300e+01 3.6500e+01 6.5000e+00 2.2800e+01 2.2300e+01 3.1200e+01\n",
      " 6.4000e+00 3.0300e+01 3.3500e+01 2.4200e+01 2.8400e+01 2.5600e+01\n",
      " 2.3700e+01 7.3000e+00 2.8700e+01 2.2600e+01 2.5200e+01 2.6800e+01\n",
      " 2.6300e+01 2.6200e+01 2.4900e+01 2.6000e+01 2.7300e+01 2.4700e+01\n",
      " 2.4500e+01 2.8900e+01 6.1000e+00 2.3800e+01 2.9600e+01 2.8300e+01\n",
      " 3.0700e+01 2.6500e+01 2.4600e+01 3.3100e+01 2.9900e+01 3.4200e+01\n",
      " 2.5100e+01 9.9999e+04 2.9800e+01 5.7900e+01 3.2900e+01 2.5900e+01\n",
      " 2.4800e+01 2.5400e+01 8.8700e+01 3.8000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 16.6 14.1 21.  16.5  9.9  6.3 15.8 15.5 12.8 20.8  9.  15.9 17.5\n",
      " 13.4  8.4 10.9 12.1 14.7 11.8 20.5 23.2 11.7 12.  13.6 10.  16.3 21.8\n",
      " 11.4 16.  21.3 17.6 16.4 13.1 20.9 15.7 16.2 13.3 12.2 14.6 10.6  9.1\n",
      " 20.7 10.7 10.1 14.4 18.5 10.5 22.7 19.1 14.5 20.3 20.2  9.7 10.8 22.5\n",
      " 15.6 20.  23.4 16.1 11.3 12.4 18.  18.2 16.7 12.6 11.2 21.4 12.3  8.6\n",
      " 16.9  6.9 14.3 15.1 14.  14.2 14.8 20.1 17.4 16.8 19.7 15.4 12.7 12.5\n",
      " 13.8 15.3  9.6 17.8 20.4  9.5 12.9 18.9 13.  15.2 11.6 13.9 14.9 13.7\n",
      " 13.5 17.3  9.2 22.4 20.6 19.  11.9 15.   9.3 17.7 10.3 17.1  6.7 10.4\n",
      " 17.  11.1 18.4  9.4 17.2  8.8 18.6  7.5 13.2 11.  24.3 11.5 23.  22.9\n",
      "  8.2 18.7  9.8  8.9  8.5  7.1 24.   7.6 25.7 22.2 18.8 18.3 21.9 21.7\n",
      "  7.   7.9  8.  19.3 30.2 27.8 10.2 21.5  8.1 17.9 18.1  8.3 34.1 29.3\n",
      " 22.1 19.6  8.7  6.8 19.5 23.6 22.  19.2 24.1 21.1 21.6 19.4 19.8 31.1\n",
      "  7.2 30.6 26.1 30.9  7.4 24.4 44.2 32.  27.6 25.5 23.9  7.8 25.3 19.9\n",
      " 29.2 23.1 21.2  7.7 23.3 36.5  6.5 22.8 22.3 31.2  6.4 30.3 33.5 24.2\n",
      " 28.4 25.6 23.7  7.3 28.7 22.6 25.2 26.8 26.3 26.2 24.9 26.  27.3 24.7\n",
      " 24.5 28.9  6.1 23.8 29.6 28.3 30.7 26.5 24.6 33.1 29.9 34.2 25.1 29.8\n",
      " 57.9 32.9 25.9 24.8 25.4 88.7 38. ]\n",
      "-----------------------------------------\n",
      "NC1_CREATINE creatinine@(x!=66666)&(x!=77777)&(x!=99999)@x [8.2000e-01 1.0000e+00 8.7000e-01 8.6000e-01 8.4000e-01 1.1400e+00\n",
      " 9.4000e-01 9.7000e-01 1.1100e+00 8.1000e-01 7.8000e-01 8.0000e-01\n",
      " 8.5000e-01 1.2300e+00 9.9000e-01 9.5000e-01 9.0000e-01 7.9000e-01\n",
      " 8.3000e-01 1.3100e+00 7.1000e-01 1.0500e+00 7.4000e-01 1.0700e+00\n",
      " 1.1000e+00 9.3000e-01 1.2600e+00 1.3000e+00 7.3000e-01 1.0600e+00\n",
      " 9.8000e-01 1.1900e+00 1.4100e+00 1.0200e+00 8.8000e-01 6.3000e-01\n",
      " 1.1600e+00 9.1000e-01 1.2800e+00 7.0000e-01 6.0000e-01 1.1700e+00\n",
      " 7.6000e-01 1.2900e+00 1.0100e+00 1.7400e+00 1.1500e+00 8.9000e-01\n",
      " 7.2000e-01 9.2000e-01 1.1800e+00 1.0300e+00 1.0800e+00 5.6000e-01\n",
      " 1.2100e+00 9.6000e-01 7.5000e-01 7.7000e-01 1.0900e+00 1.1200e+00\n",
      " 1.3900e+00 1.2700e+00 1.4200e+00 1.2000e+00 1.2200e+00 1.0400e+00\n",
      " 5.3000e-01 1.4000e+00 1.3300e+00 1.4500e+00 1.2400e+00 1.5100e+00\n",
      " 6.7000e-01 1.6800e+00 1.7300e+00 1.3200e+00 1.5500e+00 6.9000e-01\n",
      " 1.3600e+00 1.9800e+00 6.1000e-01 1.1300e+00 1.4300e+00 1.3700e+00\n",
      " 1.3500e+00 4.5800e+00 2.4400e+00 1.5900e+00 1.8300e+00 1.5000e+00\n",
      " 6.8000e-01 1.8400e+00 1.2500e+00 1.7700e+00 1.6100e+00 1.5400e+00\n",
      " 1.8900e+00 7.8500e+00 1.6400e+00 1.4800e+00 1.8500e+00 1.3400e+00\n",
      " 6.6000e-01 1.7200e+00 6.5000e-01 1.4900e+00 1.5200e+00 1.3800e+00\n",
      " 1.6600e+00 2.6800e+00 1.7900e+00 1.6000e+00 1.8000e+00 1.5300e+00\n",
      " 1.7100e+00 1.7800e+00 1.8200e+00 1.4700e+00 1.4600e+00 2.1100e+00\n",
      " 6.2000e-01 6.4000e-01 3.0000e+00 1.7000e+00 2.7300e+00 2.1200e+00\n",
      " 1.7500e+00 2.0200e+00 2.2900e+00 1.4400e+00 3.2900e+00 1.6500e+00\n",
      " 5.2500e+00 1.5700e+00 2.3200e+00 1.6200e+00 1.5600e+00        nan\n",
      " 3.9000e+00 2.3000e+00 1.9300e+00 5.1000e-01 2.0700e+00 4.7000e-01\n",
      " 1.5800e+00 1.6700e+00 1.8800e+00 5.9000e-01 1.9400e+00 5.7000e-01\n",
      " 2.2500e+00 2.0100e+00 2.1800e+00 2.0000e+00 2.1300e+00 4.5000e-01\n",
      " 1.6900e+00 2.6500e+00 1.6300e+00 9.9999e+04 2.6700e+00 5.4000e-01\n",
      " 1.0510e+01 2.0600e+00 5.2000e-01 7.3700e+00 2.5900e+00 6.0400e+00\n",
      " 2.5800e+00]\n",
      "# of filtered=1 before:  526\n",
      "# of filtered=2 after:  1 , conversion unique [ 0.82  1.    0.87  0.86  0.84  1.14  0.94  0.97  1.11  0.81  0.78  0.8\n",
      "  0.85  1.23  0.99  0.95  0.9   0.79  0.83  1.31  0.71  1.05  0.74  1.07\n",
      "  1.1   0.93  1.26  1.3   0.73  1.06  0.98  1.19  1.41  1.02  0.88  0.63\n",
      "  1.16  0.91  1.28  0.7   0.6   1.17  0.76  1.29  1.01  1.74  1.15  0.89\n",
      "  0.72  0.92  1.18  1.03  1.08  0.56  1.21  0.96  0.75  0.77  1.09  1.12\n",
      "  1.39  1.27  1.42  1.2   1.22  1.04  0.53  1.4   1.33  1.45  1.24  1.51\n",
      "  0.67  1.68  1.73  1.32  1.55  0.69  1.36  1.98  0.61  1.13  1.43  1.37\n",
      "  1.35  4.58  2.44  1.59  1.83  1.5   0.68  1.84  1.25  1.77  1.61  1.54\n",
      "  1.89  7.85  1.64  1.48  1.85  1.34  0.66  1.72  0.65  1.49  1.52  1.38\n",
      "  1.66  2.68  1.79  1.6   1.8   1.53  1.71  1.78  1.82  1.47  1.46  2.11\n",
      "  0.62  0.64  3.    1.7   2.73  2.12  1.75  2.02  2.29  1.44  3.29  1.65\n",
      "  5.25  1.57  2.32  1.62  1.56   nan  3.9   2.3   1.93  0.51  2.07  0.47\n",
      "  1.58  1.67  1.88  0.59  1.94  0.57  2.25  2.01  2.18  2.    2.13  0.45\n",
      "  1.69  2.65  1.63  2.67  0.54 10.51  2.06  0.52  7.37  2.59  6.04  2.58]\n",
      "-----------------------------------------\n",
      "CT1_CREATININE creatinine@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 8.0000e-01 1.1000e+00 8.8000e-01 6.0000e-01 7.0000e-01\n",
      " 6.1000e-01 9.0000e-01 7.5000e-01 1.0000e+00 8.3000e-01 1.1200e+00\n",
      " 7.8000e-01 5.7000e-01 6.5000e-01 8.9000e-01 7.3000e-01 6.9000e-01\n",
      " 1.3000e+00 6.8000e-01 9.9000e-01 1.0800e+00 5.4000e-01 1.3500e+00\n",
      " 8.7000e-01 7.1000e-01 6.6000e-01 1.0600e+00 1.0300e+00 8.4000e-01\n",
      " 7.9000e-01 6.2000e-01 1.2000e+00 8.2000e-01 9.4000e-01 6.3000e-01\n",
      " 4.3000e-01 6.4000e-01 6.7000e-01 1.3200e+00 1.0700e+00 5.9000e-01\n",
      " 1.2500e+00 9.8000e-01 9.1000e-01 7.7000e-01 7.6000e-01 9.6000e-01\n",
      " 5.3000e-01 5.8000e-01 7.2000e-01 8.6000e-01 5.0000e-01 1.0400e+00\n",
      " 1.0100e+00 9.3000e-01 1.0200e+00 5.2000e-01 9.2000e-01 8.1000e-01\n",
      " 5.5000e-01 1.4000e+00 8.5000e-01 1.0500e+00 5.6000e-01 9.5000e-01\n",
      " 4.1000e-01 9.7000e-01 1.1300e+00 1.1600e+00 2.6000e+00 7.4000e-01\n",
      " 1.2800e+00 1.4500e+00 1.1800e+00 5.1000e-01 1.5000e+00 1.0900e+00\n",
      " 1.8000e+00 1.2400e+00 1.3300e+00 4.0000e-01 1.3100e+00 1.2200e+00\n",
      " 4.9000e-01 1.2100e+00 1.2300e+00 1.2600e+00 1.1900e+00 1.9000e+00\n",
      " 1.1400e+00 1.1700e+00 5.8000e+00 2.0600e+00 1.1100e+00 1.2700e+00\n",
      " 4.8000e-01 1.4900e+00 2.7200e+00 1.7000e+00 1.6000e+00 2.4000e+00\n",
      " 2.3000e+00 2.4300e+00 1.1500e+00 4.6000e-01 1.2900e+00 2.0000e+00\n",
      " 1.1400e+01 1.3800e+00 1.5700e+00 2.1000e+00 2.6700e+00 1.4400e+00\n",
      " 3.9000e-01 1.4100e+00 1.5200e+00 1.5600e+00 4.7000e-01 1.3400e+00\n",
      " 3.2000e+00 1.6600e+00 5.7000e+00 2.2000e+00 1.9600e+00 1.4200e+00\n",
      " 2.0900e+00 2.9000e+00 7.3000e+00 1.5400e+00 7.8000e+00 4.4000e-01\n",
      " 1.7500e+00 1.8300e+00 3.4000e+00 1.3900e+00 4.5000e-01 2.5200e+00\n",
      " 4.8000e+00 7.2000e+00 2.8000e+00 5.1000e+00 3.0000e+00 2.2900e+00\n",
      " 2.2700e+00 6.6000e+00 3.3000e+00 5.0000e+00 1.3600e+00 3.5000e+00\n",
      " 9.6200e+00 3.1000e+00 9.9999e+04 3.8000e+00 1.0100e+01 4.2000e-01\n",
      " 1.7000e+01 4.1000e+00 2.7000e+00 8.2000e+00 2.3200e+00 6.5000e+00\n",
      " 3.0000e-01 6.4000e+00 1.4600e+00 1.4300e+00 1.9100e+00 1.9300e+00\n",
      " 8.1700e+00 1.7700e+00 1.3700e+00 1.7600e+00 2.2300e+00 2.6500e+00\n",
      " 1.4800e+00 3.8900e+00 1.8200e+00 1.8700e+00 9.7000e+00 2.1500e+00\n",
      " 1.8900e+00 1.5800e+00 4.4900e+00 1.9400e+00 2.0400e+00 4.2000e+00\n",
      " 1.6900e+00 1.5500e+00 2.0100e+00 2.1600e+00 1.4700e+00 6.7100e+00\n",
      " 1.5300e+00 3.7000e-01 1.9200e+00 1.6300e+00 1.1350e+01 2.1100e+00\n",
      " 2.5000e+00 1.5100e+00 1.8500e+00 2.9200e+00 2.3700e+00 6.0000e+00\n",
      " 2.2200e+00 3.7200e+00 1.6500e+00 4.6000e+00 1.6700e+00 1.6200e+00\n",
      " 1.7900e+00 3.6000e-01 4.2700e+00 1.6800e+00 1.0360e+01 2.5100e+00\n",
      " 1.6400e+00 3.3100e+00 2.0700e+00 2.5400e+00 2.3600e+00 1.9500e+00\n",
      " 2.4700e+00 5.3700e+00 4.3500e+00 1.4500e+01 1.7300e+00]\n",
      "# of filtered=1 before:  7669\n",
      "# of filtered=2 after:  12 , conversion unique [  nan  0.8   1.1   0.88  0.6   0.7   0.61  0.9   0.75  1.    0.83  1.12\n",
      "  0.78  0.57  0.65  0.89  0.73  0.69  1.3   0.68  0.99  1.08  0.54  1.35\n",
      "  0.87  0.71  0.66  1.06  1.03  0.84  0.79  0.62  1.2   0.82  0.94  0.63\n",
      "  0.43  0.64  0.67  1.32  1.07  0.59  1.25  0.98  0.91  0.77  0.76  0.96\n",
      "  0.53  0.58  0.72  0.86  0.5   1.04  1.01  0.93  1.02  0.52  0.92  0.81\n",
      "  0.55  1.4   0.85  1.05  0.56  0.95  0.41  0.97  1.13  1.16  2.6   0.74\n",
      "  1.28  1.45  1.18  0.51  1.5   1.09  1.8   1.24  1.33  0.4   1.31  1.22\n",
      "  0.49  1.21  1.23  1.26  1.19  1.9   1.14  1.17  5.8   2.06  1.11  1.27\n",
      "  0.48  1.49  2.72  1.7   1.6   2.4   2.3   2.43  1.15  0.46  1.29  2.\n",
      " 11.4   1.38  1.57  2.1   2.67  1.44  0.39  1.41  1.52  1.56  0.47  1.34\n",
      "  3.2   1.66  5.7   2.2   1.96  1.42  2.09  2.9   7.3   1.54  7.8   0.44\n",
      "  1.75  1.83  3.4   1.39  0.45  2.52  4.8   7.2   2.8   5.1   3.    2.29\n",
      "  2.27  6.6   3.3   5.    1.36  3.5   9.62  3.1   3.8  10.1   0.42 17.\n",
      "  4.1   2.7   8.2   2.32  6.5   0.3   6.4   1.46  1.43  1.91  1.93  8.17\n",
      "  1.77  1.37  1.76  2.23  2.65  1.48  3.89  1.82  1.87  9.7   2.15  1.89\n",
      "  1.58  4.49  1.94  2.04  4.2   1.69  1.55  2.01  2.16  1.47  6.71  1.53\n",
      "  0.37  1.92  1.63 11.35  2.11  2.5   1.51  1.85  2.92  2.37  6.    2.22\n",
      "  3.72  1.65  4.6   1.67  1.62  1.79  0.36  4.27  1.68 10.36  2.51  1.64\n",
      "  3.31  2.07  2.54  2.36  1.95  2.47  5.37  4.35 14.5   1.73]\n",
      "-----------------------------------------\n",
      "AS1_CREATININE_TR creatinine@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 8.0000e-01 9.0000e-01 1.5000e+00 1.1000e+00 7.0000e-01\n",
      " 6.0000e-01 1.4000e+00 1.0000e+00 1.2000e+00 1.3000e+00 5.0000e-01\n",
      " 2.7000e+00 2.9000e+00 4.1000e+00 2.4000e+00 2.0000e+00 2.1000e+00\n",
      " 1.7000e+00 2.3000e+00 1.9000e+00 1.6000e+00 4.0000e-01 2.2000e+00\n",
      " 1.8000e+00 3.1000e+00 2.8000e+00 9.9999e+04 1.3000e+01 4.0000e+00]\n",
      "# of filtered=1 before:  933\n",
      "# of filtered=2 after:  2 , conversion unique [ nan  0.8  0.9  1.5  1.1  0.7  0.6  1.4  1.   1.2  1.3  0.5  2.7  2.9\n",
      "  4.1  2.4  2.   2.1  1.7  2.3  1.9  1.6  0.4  2.2  1.8  3.1  2.8 13.\n",
      "  4. ]\n",
      "-----------------------------------------\n",
      "NC1_BLOOD16_U blood_in_urine@(x>1)&(x<6)@2 [6.6666e+04        nan 1.0000e+00 0.0000e+00 3.0000e+00 2.0000e+00\n",
      " 9.9999e+04 4.0000e+00]\n",
      "# of filtered=1 before:  825\n",
      "# of filtered=2 after:  1299 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_BLOOD16_U blood_in_urine@(x>0)&(x<5)@2 [        nan -1.0000e+00  3.0000e+00  0.0000e+00  1.0000e+00  2.0000e+00\n",
      "  9.9999e+04]\n",
      "# of filtered=1 before:  261\n",
      "# of filtered=2 after:  523 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_GLU16_U glucose_in_urine@(x>1)&(x<6)@2 [0.0000e+00 4.0000e+00 1.0000e+00 5.0000e+00 2.0000e+00 3.0000e+00\n",
      " 9.9999e+04        nan]\n",
      "# of filtered=1 before:  1316\n",
      "# of filtered=2 after:  698 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_GLU16_U glucose_in_urine@(x>0)&(x<5)@2 [        nan -1.0000e+00  4.0000e+00  0.0000e+00  1.0000e+00  2.0000e+00\n",
      "  3.0000e+00  9.9999e+04]\n",
      "# of filtered=1 before:  102\n",
      "# of filtered=2 after:  606 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_ALT alt@(x!=66666)&(x!=77777)&(x!=99999)@x [2.0000e+01 4.0000e+01 1.9000e+01 2.3000e+01 1.7000e+01 1.5000e+01\n",
      " 2.1000e+01 3.7000e+01 3.1000e+01 2.4000e+01 1.6000e+01 1.2000e+01\n",
      " 2.7000e+01 3.8000e+01 9.0000e+00 4.3000e+01 2.6000e+01 4.2000e+01\n",
      " 3.0000e+01 1.4000e+01 3.3000e+01 1.1000e+01 5.1000e+01 1.0000e+01\n",
      " 5.0000e+01 1.3000e+01 1.8000e+01 4.7000e+01 3.2000e+01 2.9000e+01\n",
      " 3.4000e+01 3.6000e+01 2.5000e+01 2.8000e+01 2.2000e+01 5.6000e+01\n",
      " 3.5000e+01 8.0000e+00 3.9000e+01 4.9000e+01 5.2000e+01 4.6000e+01\n",
      " 5.3000e+01 4.1000e+01 4.5000e+01 6.3000e+01 6.0000e+01 6.9000e+01\n",
      " 6.4000e+01 3.0300e+02 4.4000e+01 7.0000e+00 8.3000e+01 7.5000e+01\n",
      " 8.4000e+01 5.4000e+01 4.8000e+01 7.2000e+01 6.8000e+01 6.6000e+01\n",
      " 8.6000e+01 5.5000e+01 1.0200e+02 7.4000e+01 6.1000e+01 1.0900e+02\n",
      " 1.0300e+02 7.9000e+01 6.2000e+01 5.7000e+01 7.7000e+01 6.5000e+01\n",
      " 1.6200e+02 7.8000e+01 7.3000e+01 9.8000e+01 9.9999e+04 8.0000e+01\n",
      " 6.7000e+01 2.2600e+02 5.8000e+01 6.0000e+00 9.7000e+01 8.5000e+01\n",
      " 1.0100e+02 2.9000e+02 8.7000e+01 7.6000e+01 1.3700e+02 1.0000e+02\n",
      " 7.0000e+01 8.2000e+01 1.2000e+02 5.2400e+02 1.1500e+02 8.9000e+01\n",
      " 7.1000e+01 1.2700e+02 1.4600e+02 1.0500e+02 9.3000e+01 8.8000e+01\n",
      " 5.9000e+01 9.5000e+01 1.1000e+02 1.1600e+02 9.6000e+01 1.0400e+02\n",
      " 2.4300e+02 1.5500e+02 1.6900e+02 1.1200e+02 9.4000e+01 1.4300e+02\n",
      "        nan 1.9800e+02 1.4500e+02 1.6700e+02 1.8400e+02 1.1800e+02\n",
      " 1.2900e+02 1.2800e+02 1.4100e+02 2.0100e+02 1.3100e+02 1.2300e+02\n",
      " 1.2200e+02 9.0000e+01 1.4800e+02 1.4900e+02 1.1100e+02 8.1000e+01\n",
      " 1.0700e+02 1.2600e+02 2.5300e+02 9.1000e+02 2.9900e+02 1.6500e+02\n",
      " 9.1000e+01 1.9000e+02 1.0600e+02 2.6600e+02 1.5800e+02 1.5600e+02\n",
      " 1.1300e+02 1.6600e+02 1.2500e+02 4.1900e+02 1.1700e+02 8.0000e+02\n",
      " 1.3900e+02 1.4400e+02 9.9000e+01 1.3500e+02 1.4000e+02 2.8100e+02\n",
      " 2.1500e+02 9.2000e+01 1.1400e+02 2.7000e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 20.  40.  19.  23.  17.  15.  21.  37.  31.  24.  16.  12.  27.  38.\n",
      "   9.  43.  26.  42.  30.  14.  33.  11.  51.  10.  50.  13.  18.  47.\n",
      "  32.  29.  34.  36.  25.  28.  22.  56.  35.   8.  39.  49.  52.  46.\n",
      "  53.  41.  45.  63.  60.  69.  64. 303.  44.   7.  83.  75.  84.  54.\n",
      "  48.  72.  68.  66.  86.  55. 102.  74.  61. 109. 103.  79.  62.  57.\n",
      "  77.  65. 162.  78.  73.  98.  nan  80.  67. 226.  58.   6.  97.  85.\n",
      " 101. 290.  87.  76. 137. 100.  70.  82. 120. 524. 115.  89.  71. 127.\n",
      " 146. 105.  93.  88.  59.  95. 110. 116.  96. 104. 243. 155. 169. 112.\n",
      "  94. 143. 198. 145. 167. 184. 118. 129. 128. 141. 201. 131. 123. 122.\n",
      "  90. 148. 149. 111.  81. 107. 126. 253. 910. 299. 165.  91. 190. 106.\n",
      " 266. 158. 156. 113. 166. 125. 419. 117. 800. 139. 144.  99. 135. 140.\n",
      " 281. 215.  92. 114. 270.]\n",
      "-----------------------------------------\n",
      "CT1_ALT alt@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.3000e+01 1.4000e+01 1.6000e+01 2.0000e+01 1.5000e+01\n",
      " 2.6000e+01 2.2000e+01 3.0000e+01 1.7000e+01 1.1000e+01 1.8000e+01\n",
      " 3.4000e+01 2.1000e+01 2.9000e+01 8.0000e+00 3.6000e+01 3.3000e+01\n",
      " 1.0000e+01 3.7000e+01 9.0000e+00 1.2000e+01 2.7000e+01 9.9999e+04\n",
      " 1.9000e+01 2.5000e+01 6.9000e+01 2.3000e+01 3.8000e+01 3.1000e+01\n",
      " 9.5000e+01 2.8000e+01 2.4000e+01 4.2000e+01 4.6000e+01 3.5000e+01\n",
      " 4.4000e+01 3.9000e+01 4.9000e+01 5.1000e+01 5.0000e+01 3.2000e+01\n",
      " 4.7000e+01 7.6000e+01 5.6000e+01 4.0000e+01 4.1000e+01 7.0000e+00\n",
      " 1.2100e+02 1.1900e+02 4.8000e+01 4.5000e+01 6.0000e+00 7.4000e+01\n",
      " 5.9000e+01 7.0000e+01 1.2800e+02 7.8000e+01 6.6000e+01 1.3700e+02\n",
      " 8.1000e+01 5.3000e+01 5.7000e+01 4.3000e+01 6.0000e+01 8.5000e+01\n",
      " 7.3000e+01 5.5000e+01 5.8000e+01 7.9000e+01 5.4000e+01 6.8000e+01\n",
      " 6.2000e+01 7.5000e+01 8.6000e+01 8.4000e+01 2.5500e+02 6.5000e+01\n",
      " 2.2900e+02 7.2000e+01 1.0500e+02 5.2000e+01 1.0000e+02 8.2000e+01\n",
      " 6.9700e+02 1.0400e+02 6.7000e+01 1.0200e+02 8.0000e+01 1.2500e+02\n",
      " 1.0900e+02 6.4000e+01 9.3000e+01 6.1000e+01 1.7100e+02 1.1600e+02\n",
      " 8.7000e+01 3.2800e+02 8.8000e+01 1.3300e+02 1.0800e+02 2.0400e+02\n",
      " 2.3600e+02 9.6000e+01 2.6800e+02 7.7000e+01 8.3000e+01 1.5300e+02\n",
      " 9.7000e+01 1.4200e+02 1.0100e+02 9.4000e+01 7.1000e+01 1.3200e+02\n",
      " 6.3000e+01 1.1700e+02 1.1400e+02 8.9000e+01 1.6700e+02 1.0600e+02\n",
      " 1.5100e+02 9.0000e+01 1.1300e+02 1.7200e+02 1.3900e+02 1.6000e+02\n",
      " 1.9200e+02 1.1000e+02 1.2900e+02 3.5700e+02 1.5600e+02 2.9900e+02\n",
      " 9.2000e+01 3.2200e+02 1.9600e+02 1.6200e+02 1.5900e+02 2.1600e+02\n",
      " 1.8900e+02 1.3000e+02 1.0300e+02 9.9000e+01 9.1000e+01 3.1600e+02\n",
      " 1.1500e+02 3.6000e+02 1.2600e+02 1.3600e+02 2.0900e+02 3.6200e+02\n",
      " 1.7600e+02 1.1200e+02 1.1100e+02 1.0700e+02 1.4400e+02 1.8600e+02\n",
      " 3.0300e+02 1.5000e+02 9.8000e+01 1.1800e+02 1.4500e+02 3.5300e+02\n",
      " 8.8900e+02 1.2000e+02 1.2200e+02 2.5900e+02 4.4900e+02 2.7600e+02\n",
      " 1.3500e+02 1.2400e+02 2.2800e+02 2.3100e+02 1.3100e+02 2.5600e+02\n",
      " 2.0800e+02 2.1800e+02 6.8900e+02 1.4000e+02 2.5800e+02 1.4100e+02\n",
      " 8.1300e+02 2.1300e+02 5.7400e+02 2.4000e+02 2.8100e+02 1.7500e+02\n",
      " 1.9100e+02 1.7400e+02 1.3400e+02 1.5700e+02 8.4200e+02 2.6200e+02\n",
      " 2.4200e+02 2.0100e+02 1.6100e+02 1.4600e+02 1.8200e+02 1.8300e+02\n",
      " 1.3800e+02 1.6500e+02 4.2800e+02 1.6400e+02 1.8700e+02 1.7300e+02\n",
      " 7.8000e+02 1.5200e+02 2.4700e+02 9.4500e+02 4.1800e+02 1.2700e+02\n",
      " 1.8800e+02 1.4700e+02 4.3300e+02 3.6900e+02 1.6300e+02 1.6600e+02\n",
      " 1.9600e+01 1.8400e+02 1.7900e+02 1.0150e+03 3.3000e+02 2.8900e+02\n",
      " 2.5700e+02 6.0800e+02 2.2000e+02 1.5800e+02 2.3200e+02 1.4300e+02\n",
      " 2.1000e+02 1.4800e+02 1.4900e+02 2.8200e+02 2.0500e+02 3.3300e+02\n",
      " 2.9200e+02 1.2300e+02 2.9300e+02 2.7500e+02 6.5600e+02 3.3100e+02\n",
      " 5.9700e+02 3.0700e+02 1.3200e+01 2.2700e+02 2.2500e+02 2.7000e+02\n",
      " 3.7800e+02 2.9400e+02 5.0800e+02 7.7600e+02 2.6100e+02 1.8500e+02\n",
      " 3.5900e+02 3.2900e+02 2.4500e+02 2.9100e+02 6.5900e+02 1.5500e+02\n",
      " 2.6600e+02 1.9500e+02 2.1100e+02 1.8100e+02 2.1200e+02 5.7600e+02\n",
      " 2.4120e+03 2.8600e+02 1.9900e+02 5.6100e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [   nan   13.    14.    16.    20.    15.    26.    22.    30.    17.\n",
      "   11.    18.    34.    21.    29.     8.    36.    33.    10.    37.\n",
      "    9.    12.    27.    19.    25.    69.    23.    38.    31.    95.\n",
      "   28.    24.    42.    46.    35.    44.    39.    49.    51.    50.\n",
      "   32.    47.    76.    56.    40.    41.     7.   121.   119.    48.\n",
      "   45.     6.    74.    59.    70.   128.    78.    66.   137.    81.\n",
      "   53.    57.    43.    60.    85.    73.    55.    58.    79.    54.\n",
      "   68.    62.    75.    86.    84.   255.    65.   229.    72.   105.\n",
      "   52.   100.    82.   697.   104.    67.   102.    80.   125.   109.\n",
      "   64.    93.    61.   171.   116.    87.   328.    88.   133.   108.\n",
      "  204.   236.    96.   268.    77.    83.   153.    97.   142.   101.\n",
      "   94.    71.   132.    63.   117.   114.    89.   167.   106.   151.\n",
      "   90.   113.   172.   139.   160.   192.   110.   129.   357.   156.\n",
      "  299.    92.   322.   196.   162.   159.   216.   189.   130.   103.\n",
      "   99.    91.   316.   115.   360.   126.   136.   209.   362.   176.\n",
      "  112.   111.   107.   144.   186.   303.   150.    98.   118.   145.\n",
      "  353.   889.   120.   122.   259.   449.   276.   135.   124.   228.\n",
      "  231.   131.   256.   208.   218.   689.   140.   258.   141.   813.\n",
      "  213.   574.   240.   281.   175.   191.   174.   134.   157.   842.\n",
      "  262.   242.   201.   161.   146.   182.   183.   138.   165.   428.\n",
      "  164.   187.   173.   780.   152.   247.   945.   418.   127.   188.\n",
      "  147.   433.   369.   163.   166.    19.6  184.   179.  1015.   330.\n",
      "  289.   257.   608.   220.   158.   232.   143.   210.   148.   149.\n",
      "  282.   205.   333.   292.   123.   293.   275.   656.   331.   597.\n",
      "  307.    13.2  227.   225.   270.   378.   294.   508.   776.   261.\n",
      "  185.   359.   329.   245.   291.   659.   155.   266.   195.   211.\n",
      "  181.   212.   576.  2412.   286.   199.   561. ]\n",
      "-----------------------------------------\n",
      "AS1_ALT_TR alt@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 2.1000e+01 1.8000e+01 4.3000e+01 4.0000e+01 1.4000e+01\n",
      " 2.7000e+01 2.9000e+01 1.2000e+01 1.5000e+01 1.7000e+01 2.5000e+01\n",
      " 2.4000e+01 2.8000e+01 2.3000e+01 2.2000e+01 3.1000e+01 5.3000e+01\n",
      " 2.6000e+01 1.3000e+01 3.4000e+01 4.6000e+01 3.2000e+01 3.0000e+01\n",
      " 9.9000e+01 1.0000e+01 1.6000e+01 3.8000e+01 2.0000e+01 6.8000e+01\n",
      " 7.5000e+01 1.3200e+02 3.7000e+01 6.2000e+01 3.9000e+01 9.3000e+01\n",
      " 4.1000e+01 3.5000e+01 9.7000e+01 8.7000e+01 4.8000e+01 1.9000e+01\n",
      " 7.4000e+01 3.6000e+01 7.8000e+01 1.0000e+02 5.8000e+01 6.9000e+01\n",
      " 8.2000e+01 6.0000e+01 6.3000e+01 4.2000e+01 8.5000e+01 1.1000e+01\n",
      " 2.4800e+02 3.3000e+01 6.5000e+01 5.0000e+01 4.4000e+01 1.6400e+02\n",
      " 5.3100e+02 5.1000e+01 7.7000e+01 6.4000e+01 8.1000e+01 4.9000e+01\n",
      " 1.0200e+02 5.6000e+01 7.0000e+01 7.0000e+00 5.5000e+01 9.8000e+01\n",
      " 1.2000e+02 4.7000e+01 9.4000e+01 4.5000e+01 7.2000e+01 8.4000e+01\n",
      " 6.7000e+01 7.9000e+01 5.7000e+01 1.2300e+02 6.1000e+01 1.7400e+02\n",
      " 8.8000e+01 7.6000e+01 9.0000e+01 9.0000e+00 1.4400e+02 1.1000e+02\n",
      " 1.2200e+02 6.6000e+01 7.1000e+01 1.3400e+02 1.2700e+02 7.3000e+01\n",
      " 8.6000e+01 2.4900e+02 1.0500e+02 1.0300e+02 8.0000e+00 8.3000e+01\n",
      " 9.1000e+01 1.1200e+02 1.0700e+02 1.2600e+02 1.4970e+03 5.2000e+01\n",
      " 1.0400e+02 2.1700e+02 8.9000e+01 1.1600e+02 9.5000e+01 1.6200e+02\n",
      " 5.4000e+01 1.3500e+02 2.9400e+02 5.9000e+01 9.6000e+01 2.5800e+02\n",
      " 1.0900e+02 1.1900e+02 8.0000e+01 1.5100e+02 1.4000e+02 2.2600e+02\n",
      " 1.0100e+02 1.4100e+02 1.1800e+02 1.3000e+02 9.9999e+04 1.5600e+02\n",
      " 2.7200e+02 1.9800e+02 1.8900e+02 2.5200e+02 5.3400e+02 1.1500e+02\n",
      " 1.0800e+02 6.0000e+00 1.1700e+02 1.1100e+02 1.5800e+02 2.9600e+02\n",
      " 9.2000e+01 1.4600e+02 1.2400e+02 1.6800e+02 3.3400e+02 4.2300e+02\n",
      " 1.7800e+02 2.0100e+02 2.3000e+02 1.4300e+02 6.7300e+02 1.5900e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan   21.   18.   43.   40.   14.   27.   29.   12.   15.   17.   25.\n",
      "   24.   28.   23.   22.   31.   53.   26.   13.   34.   46.   32.   30.\n",
      "   99.   10.   16.   38.   20.   68.   75.  132.   37.   62.   39.   93.\n",
      "   41.   35.   97.   87.   48.   19.   74.   36.   78.  100.   58.   69.\n",
      "   82.   60.   63.   42.   85.   11.  248.   33.   65.   50.   44.  164.\n",
      "  531.   51.   77.   64.   81.   49.  102.   56.   70.    7.   55.   98.\n",
      "  120.   47.   94.   45.   72.   84.   67.   79.   57.  123.   61.  174.\n",
      "   88.   76.   90.    9.  144.  110.  122.   66.   71.  134.  127.   73.\n",
      "   86.  249.  105.  103.    8.   83.   91.  112.  107.  126. 1497.   52.\n",
      "  104.  217.   89.  116.   95.  162.   54.  135.  294.   59.   96.  258.\n",
      "  109.  119.   80.  151.  140.  226.  101.  141.  118.  130.  156.  272.\n",
      "  198.  189.  252.  534.  115.  108.    6.  117.  111.  158.  296.   92.\n",
      "  146.  124.  168.  334.  423.  178.  201.  230.  143.  673.  159.]\n",
      "-----------------------------------------\n",
      "NC1_AST ast@(x!=66666)&(x!=77777)&(x!=99999)@x [2.7000e+01 4.5000e+01 2.1000e+01 3.4000e+01 2.6000e+01 1.2000e+01\n",
      " 3.9000e+01 1.9000e+01 2.0000e+01 2.3000e+01 1.8000e+01 2.5000e+01\n",
      " 3.2000e+01 3.8000e+01 2.8000e+01 3.6000e+01 2.4000e+01 4.4000e+01\n",
      " 3.0000e+01 2.2000e+01 3.1000e+01 3.3000e+01 2.9000e+01 1.7000e+01\n",
      " 3.7000e+01 1.6000e+01 4.3000e+01 1.5000e+01 3.5000e+01 4.2000e+01\n",
      " 4.8000e+01 5.5000e+01 5.1000e+01 4.9000e+01 7.8000e+01 5.3000e+01\n",
      " 4.0000e+01 6.2000e+01 4.1000e+01 1.4000e+01 5.0900e+02 6.6000e+01\n",
      " 4.6000e+01 4.7000e+01 5.7000e+01 5.0000e+01 2.0400e+02 8.1000e+01\n",
      " 5.4000e+01 1.3000e+01 5.9000e+01 6.3000e+01 8.4000e+01 6.0000e+01\n",
      " 2.7800e+02 9.4000e+01 5.8000e+01 8.5000e+01 6.8000e+01 6.5000e+01\n",
      " 1.2800e+02 1.3600e+02 9.7000e+01 6.1000e+01 6.7000e+01 7.5000e+01\n",
      " 2.1400e+02 7.0000e+01 1.1000e+01 5.2000e+01 7.3000e+01 7.7000e+01\n",
      " 6.4000e+01 1.0000e+02 1.1100e+02 1.0000e+01 9.5000e+02 8.7000e+01\n",
      " 1.3700e+02 2.1300e+02 7.4000e+01 1.3100e+03 5.6000e+01 8.3000e+01\n",
      " 7.2000e+01 1.2000e+02 7.6000e+01 1.1200e+02 1.1700e+02 1.7100e+02\n",
      " 8.8000e+01 3.6900e+02 7.1000e+01 2.5700e+02 1.1300e+02 8.6000e+01\n",
      " 1.2700e+02 1.9400e+02 1.1800e+02        nan 9.5000e+01 1.5700e+02\n",
      " 9.8000e+01 1.1400e+02 1.3300e+02 1.6200e+02 1.0400e+02 1.6000e+02\n",
      " 2.0900e+02 2.8800e+02 6.9000e+01 1.1600e+02 1.6600e+02 1.0600e+02\n",
      " 1.1500e+02 2.1200e+02 1.2400e+02 1.2200e+02 8.0000e+00 9.9000e+01\n",
      " 9.3000e+01 2.2800e+02 2.9200e+02 9.2000e+01 9.1000e+01 8.2000e+01\n",
      " 1.2600e+02 1.5200e+02 2.0100e+02 7.9000e+01 1.9000e+02 1.3100e+02\n",
      " 2.5600e+02 1.7500e+03 3.0600e+02 1.1900e+02 1.7500e+02 1.2100e+02\n",
      " 8.0000e+01 1.3800e+02 2.2000e+02 2.4400e+02 1.0300e+02 1.7300e+02\n",
      " 1.2900e+02 4.9600e+02 9.9999e+04 1.9600e+02 1.0900e+02 1.4200e+02\n",
      " 3.4500e+02 2.3700e+02 2.4300e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  27.   45.   21.   34.   26.   12.   39.   19.   20.   23.   18.   25.\n",
      "   32.   38.   28.   36.   24.   44.   30.   22.   31.   33.   29.   17.\n",
      "   37.   16.   43.   15.   35.   42.   48.   55.   51.   49.   78.   53.\n",
      "   40.   62.   41.   14.  509.   66.   46.   47.   57.   50.  204.   81.\n",
      "   54.   13.   59.   63.   84.   60.  278.   94.   58.   85.   68.   65.\n",
      "  128.  136.   97.   61.   67.   75.  214.   70.   11.   52.   73.   77.\n",
      "   64.  100.  111.   10.  950.   87.  137.  213.   74. 1310.   56.   83.\n",
      "   72.  120.   76.  112.  117.  171.   88.  369.   71.  257.  113.   86.\n",
      "  127.  194.  118.   nan   95.  157.   98.  114.  133.  162.  104.  160.\n",
      "  209.  288.   69.  116.  166.  106.  115.  212.  124.  122.    8.   99.\n",
      "   93.  228.  292.   92.   91.   82.  126.  152.  201.   79.  190.  131.\n",
      "  256. 1750.  306.  119.  175.  121.   80.  138.  220.  244.  103.  173.\n",
      "  129.  496.  196.  109.  142.  345.  237.  243.]\n",
      "-----------------------------------------\n",
      "CT1_AST ast@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.8000e+01 2.5000e+01 1.9000e+01 1.5000e+01 2.1000e+01\n",
      " 2.4000e+01 2.6000e+01 2.3000e+01 2.2000e+01 2.0000e+01 2.8000e+01\n",
      " 1.4000e+01 3.5000e+01 1.7000e+01 1.6000e+01 9.9999e+04 2.7000e+01\n",
      " 1.2300e+02 1.0000e+01 3.3000e+01 5.9000e+01 3.0000e+01 2.9000e+01\n",
      " 3.6000e+01 3.1000e+01 3.2000e+01 1.3000e+01 4.0000e+01 1.1000e+01\n",
      " 6.3000e+01 4.9000e+01 6.4000e+01 4.6000e+01 3.4000e+01 4.4000e+01\n",
      " 3.7000e+01 1.0500e+02 1.2000e+01 3.8000e+01 7.2000e+01 4.2000e+01\n",
      " 4.3000e+01 3.9000e+01 5.3000e+01 4.5000e+01 5.0000e+01 4.1000e+01\n",
      " 6.2000e+01 5.1000e+01 5.4000e+01 4.7000e+01 6.8000e+01 1.5800e+02\n",
      " 4.8000e+01 4.6500e+02 7.3000e+01 6.1000e+01 8.8000e+01 7.7000e+01\n",
      " 5.2000e+02 9.2000e+01 7.1000e+01 8.1000e+01 5.5000e+01 5.2000e+01\n",
      " 6.9000e+01 6.0000e+01 6.7000e+01 9.3000e+01 5.6000e+01 7.0000e+01\n",
      " 7.6000e+01 3.5100e+02 5.7000e+01 1.0900e+02 8.7000e+01 2.2700e+02\n",
      " 1.5200e+02 6.5000e+01 7.9000e+01 7.8000e+01 1.4200e+02 9.0000e+00\n",
      " 8.5000e+01 5.8000e+01 1.0200e+02 9.7000e+01 1.0000e+02 6.6000e+01\n",
      " 7.4000e+01 1.3700e+02 4.8200e+02 1.3000e+02 1.4700e+02 2.0500e+02\n",
      " 1.1200e+02 9.1000e+01 1.5700e+02 2.3600e+02 9.4000e+01 2.1800e+02\n",
      " 2.2800e+02 1.1000e+02 1.1100e+02 7.5000e+01 1.2200e+02 1.3800e+02\n",
      " 8.0000e+01 1.1900e+02 1.5400e+02 8.3000e+01 9.8000e+01 1.1400e+02\n",
      " 7.0000e+00 8.2000e+01 1.4500e+02 1.1300e+02 1.5300e+02 1.7600e+02\n",
      " 9.5000e+01 1.2000e+02 1.4000e+02 8.0000e+00 1.1700e+02 1.6500e+02\n",
      " 1.3300e+02 1.4900e+02 1.4300e+02 2.1300e+02 9.9000e+01 1.1500e+02\n",
      " 8.4000e+01 6.0000e+02 8.9000e+01 2.2300e+02 1.9400e+02 3.0000e+02\n",
      " 1.0100e+02 2.2200e+02 2.2100e+02 9.6000e+01 2.4600e+02 2.8600e+02\n",
      " 2.9600e+02 2.7400e+02 1.0600e+02 6.2600e+02 1.1600e+02 1.6400e+02\n",
      " 6.0000e+00 8.6000e+01 3.0200e+02 1.5600e+02 1.2700e+02 2.4000e+02\n",
      " 2.0300e+02 1.3500e+02 1.0700e+02 1.2600e+02 1.0300e+02 1.0230e+03\n",
      " 4.1500e+02 1.4600e+02 1.3100e+02 5.0000e+00 1.9700e+02 1.3400e+02\n",
      " 1.5900e+02 2.0400e+02 4.5800e+02 1.2500e+02 2.0800e+02 1.8100e+02\n",
      " 2.1000e+02 1.3600e+02 4.0400e+02 2.3400e+02 1.1800e+02 1.2400e+02\n",
      " 1.3900e+02 4.9000e+02 3.0100e+02 4.9800e+02 5.6000e+02 2.7800e+02\n",
      " 1.0210e+03 3.4800e+02 1.8600e+02 1.7000e+02 1.5000e+02 2.8100e+02\n",
      " 1.0800e+02 3.0400e+02 2.1500e+02 3.4300e+02 9.0000e+01 2.5300e+02\n",
      " 1.0400e+02 4.1700e+02 1.7900e+02 2.3900e+01 1.7400e+02 1.8000e+02\n",
      " 1.2100e+02 1.6000e+02 1.8200e+02 1.7300e+02 5.4100e+02 1.4400e+02\n",
      " 3.0700e+02 3.5500e+02 1.2900e+02 1.3200e+02 3.8000e+02 2.1400e+02\n",
      " 2.5600e+02 2.4200e+02 3.2700e+02 2.2600e+02 3.6700e+02 1.6700e+02\n",
      " 1.9900e+02 2.3300e+02 2.5800e+02 1.8800e+02 1.6200e+02 2.4800e+02\n",
      " 1.4140e+03 4.2200e+02 1.8500e+02 2.6200e+02 4.8400e+02 1.7100e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [   nan   18.    25.    19.    15.    21.    24.    26.    23.    22.\n",
      "   20.    28.    14.    35.    17.    16.    27.   123.    10.    33.\n",
      "   59.    30.    29.    36.    31.    32.    13.    40.    11.    63.\n",
      "   49.    64.    46.    34.    44.    37.   105.    12.    38.    72.\n",
      "   42.    43.    39.    53.    45.    50.    41.    62.    51.    54.\n",
      "   47.    68.   158.    48.   465.    73.    61.    88.    77.   520.\n",
      "   92.    71.    81.    55.    52.    69.    60.    67.    93.    56.\n",
      "   70.    76.   351.    57.   109.    87.   227.   152.    65.    79.\n",
      "   78.   142.     9.    85.    58.   102.    97.   100.    66.    74.\n",
      "  137.   482.   130.   147.   205.   112.    91.   157.   236.    94.\n",
      "  218.   228.   110.   111.    75.   122.   138.    80.   119.   154.\n",
      "   83.    98.   114.     7.    82.   145.   113.   153.   176.    95.\n",
      "  120.   140.     8.   117.   165.   133.   149.   143.   213.    99.\n",
      "  115.    84.   600.    89.   223.   194.   300.   101.   222.   221.\n",
      "   96.   246.   286.   296.   274.   106.   626.   116.   164.     6.\n",
      "   86.   302.   156.   127.   240.   203.   135.   107.   126.   103.\n",
      " 1023.   415.   146.   131.     5.   197.   134.   159.   204.   458.\n",
      "  125.   208.   181.   210.   136.   404.   234.   118.   124.   139.\n",
      "  490.   301.   498.   560.   278.  1021.   348.   186.   170.   150.\n",
      "  281.   108.   304.   215.   343.    90.   253.   104.   417.   179.\n",
      "   23.9  174.   180.   121.   160.   182.   173.   541.   144.   307.\n",
      "  355.   129.   132.   380.   214.   256.   242.   327.   226.   367.\n",
      "  167.   199.   233.   258.   188.   162.   248.  1414.   422.   185.\n",
      "  262.   484.   171. ]\n",
      "-----------------------------------------\n",
      "AS1_AST_TR ast@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 2.4000e+01 2.6000e+01 3.8000e+01 3.0000e+01 1.9000e+01\n",
      " 3.3000e+01 2.5000e+01 2.1000e+01 2.2000e+01 2.3000e+01 2.7000e+01\n",
      " 3.1000e+01 3.5000e+01 2.9000e+01 2.8000e+01 3.7000e+01 3.2000e+01\n",
      " 3.6000e+01 4.8000e+01 1.7000e+01 2.0000e+01 4.9000e+01 5.6000e+01\n",
      " 1.5000e+01 1.8000e+01 5.3000e+01 4.6000e+01 2.0100e+02 5.0000e+01\n",
      " 6.6000e+01 6.7000e+01 3.4000e+01 8.1000e+01 4.2000e+01 5.4000e+01\n",
      " 1.4000e+01 4.1000e+01 4.3000e+01 6.3000e+01 3.9000e+01 6.0000e+01\n",
      " 4.0000e+01 6.8000e+01 1.6000e+01 2.5900e+02 4.1300e+02 9.9000e+01\n",
      " 8.4000e+01 5.7000e+01 9.6000e+01 4.7000e+01 9.1000e+01 5.1000e+01\n",
      " 8.7000e+01 6.4000e+01 4.4000e+01 4.5000e+01 8.8000e+01 5.5000e+01\n",
      " 5.2000e+01 7.1000e+01 6.2000e+01 5.8000e+01 1.2000e+02 6.5000e+01\n",
      " 7.3000e+01 7.5000e+01 1.3000e+01 8.5000e+01 8.6000e+01 8.3000e+01\n",
      " 5.9000e+01 1.2800e+02 1.1700e+02 2.5200e+02 7.0000e+01 8.0000e+01\n",
      " 1.5800e+02 9.0000e+01 9.7000e+01 2.1400e+02 7.2000e+01 7.6000e+01\n",
      " 6.1000e+01 1.1400e+02 6.9000e+01 7.4000e+01 7.2000e+02 2.1000e+02\n",
      " 8.9000e+01 7.8000e+01 2.1900e+02 1.2200e+02 1.0600e+02 1.2500e+02\n",
      " 2.3900e+02 9.8000e+01 7.9000e+01 2.5100e+02 2.0800e+02 1.1200e+02\n",
      " 1.4800e+02 1.1000e+01 9.4000e+01 1.0000e+02 1.7000e+02 1.7100e+02\n",
      " 1.2000e+01 1.2900e+02 1.0200e+02 8.2000e+01 2.2700e+02 1.7500e+02\n",
      " 1.1600e+02 7.7000e+01 1.8400e+02 1.0500e+02 1.1100e+02 1.0700e+02\n",
      " 1.1000e+02 1.6800e+02 9.9999e+04 1.3900e+02 3.7400e+02 2.0500e+02\n",
      " 2.3300e+02 1.6200e+02 1.3100e+02 9.5000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  24.  26.  38.  30.  19.  33.  25.  21.  22.  23.  27.  31.  35.\n",
      "  29.  28.  37.  32.  36.  48.  17.  20.  49.  56.  15.  18.  53.  46.\n",
      " 201.  50.  66.  67.  34.  81.  42.  54.  14.  41.  43.  63.  39.  60.\n",
      "  40.  68.  16. 259. 413.  99.  84.  57.  96.  47.  91.  51.  87.  64.\n",
      "  44.  45.  88.  55.  52.  71.  62.  58. 120.  65.  73.  75.  13.  85.\n",
      "  86.  83.  59. 128. 117. 252.  70.  80. 158.  90.  97. 214.  72.  76.\n",
      "  61. 114.  69.  74. 720. 210.  89.  78. 219. 122. 106. 125. 239.  98.\n",
      "  79. 251. 208. 112. 148.  11.  94. 100. 170. 171.  12. 129. 102.  82.\n",
      " 227. 175. 116.  77. 184. 105. 111. 107. 110. 168. 139. 374. 205. 233.\n",
      " 162. 131.  95.]\n",
      "-----------------------------------------\n",
      "NC1_R_GTP gtp@(x!=66666)&(x!=77777)&(x!=99999)@x [2.3000e+01 4.0000e+01 2.1000e+01 1.5000e+01 9.0000e+00 2.0000e+01\n",
      " 1.1600e+03 2.2000e+01 3.6000e+01 1.4000e+01 1.6000e+01 4.8000e+01\n",
      " 5.0000e+01 1.0000e+01 8.4000e+01 1.1000e+01 1.2000e+01 1.7000e+01\n",
      " 9.8000e+01 2.8000e+01 4.1000e+01 3.8000e+01 5.1000e+01 1.8000e+01\n",
      " 4.6000e+01 3.4000e+01 7.0000e+00 1.2900e+02 9.9999e+04 3.3000e+01\n",
      " 4.5000e+01 1.3000e+01 4.4000e+01 7.8000e+01 1.5800e+02 8.0000e+00\n",
      " 2.5000e+01 3.9000e+01 2.6000e+01 1.9000e+01 2.4000e+01 5.7000e+01\n",
      " 1.1000e+02 2.9000e+01 4.3000e+01 5.4000e+01 3.1000e+01 8.9000e+01\n",
      " 6.2000e+01 3.2300e+02 5.5000e+01 1.1300e+02 3.0000e+01 7.6000e+01\n",
      " 5.6000e+01 2.7000e+01 5.2000e+01 4.2000e+01 1.3400e+02 1.0500e+02\n",
      " 8.7000e+01 7.9000e+01 6.0000e+01 3.2000e+01 6.2700e+02 1.0000e+02\n",
      " 1.5600e+02 1.6900e+02 1.0200e+02 5.3000e+01 6.6000e+01 1.2000e+02\n",
      " 3.7000e+01 6.8000e+01 7.7000e+01 3.5000e+01 8.3100e+02 8.5000e+01\n",
      " 1.0800e+02 1.9100e+02 6.1700e+02 8.0000e+01 7.1000e+01 1.2400e+02\n",
      " 6.9000e+01 9.9000e+01 4.9000e+01 1.4900e+02 1.3000e+02 1.5900e+02\n",
      " 6.1000e+01 1.6500e+02 7.0000e+01 7.5000e+01 6.4000e+01 1.3200e+02\n",
      " 8.1000e+01 1.1500e+02 1.7100e+02 9.1000e+01 9.2000e+01 4.7000e+01\n",
      " 2.3800e+02 1.8200e+02 1.2200e+02 7.4000e+01 3.7000e+02 6.3000e+01\n",
      " 1.1600e+02 1.9300e+02 1.3100e+02 1.6300e+02 1.6700e+02 1.2600e+02\n",
      " 6.7000e+01 1.0600e+02 1.0950e+03 7.2000e+01 1.3600e+02 5.9000e+01\n",
      " 8.3000e+01 1.5300e+02 9.4000e+01 1.3900e+02 1.9800e+02 1.8800e+02\n",
      " 1.5400e+02 3.0100e+02 3.6600e+02 1.2700e+02 1.5500e+02 1.0100e+02\n",
      " 2.6000e+02 2.3200e+02 8.2000e+01 7.3000e+01 4.4400e+02 4.4200e+02\n",
      " 6.5000e+01 5.8000e+01 4.2300e+02 1.0400e+02 1.3700e+02 2.4000e+02\n",
      " 1.1100e+02 1.1800e+02 1.4100e+02 5.6300e+02 1.9200e+02 1.3800e+02\n",
      " 1.4500e+02 9.3000e+01 7.6700e+02 3.8900e+02 5.2800e+02 4.5500e+02\n",
      " 1.4200e+02 1.5100e+02 3.1000e+02 1.6000e+02 1.0900e+02 5.3000e+02\n",
      " 9.0000e+01 1.1400e+02 1.4000e+02 2.7600e+02 5.4800e+02 1.4700e+02\n",
      " 8.6000e+01 9.6000e+01 1.3300e+02 1.1900e+02 2.1000e+02 3.0500e+02\n",
      " 1.2500e+02 3.3600e+02 1.8100e+02 1.1200e+02 2.1500e+02 1.0700e+02\n",
      " 8.8000e+01 2.6900e+02 1.9000e+02 9.7000e+01 2.5900e+02 5.8500e+02\n",
      " 1.2800e+02 7.4700e+02 1.4600e+02 2.8000e+02 2.0800e+02 4.9100e+02\n",
      " 4.1400e+02 2.1900e+02 1.4800e+02 3.1600e+02 1.6100e+02 3.0300e+02\n",
      " 1.6800e+02 9.5000e+01 3.2700e+02 2.3300e+02 1.9500e+02 2.6300e+02\n",
      " 3.2500e+02 4.3400e+02 2.3700e+02 1.8300e+02 3.4500e+02 6.2600e+02\n",
      " 1.7300e+02 1.3200e+03 2.2300e+02 2.5300e+02 4.4300e+02 1.6600e+02\n",
      " 1.1750e+03 3.5900e+02 2.5200e+02 1.8500e+02 2.3900e+02 7.0600e+02\n",
      " 4.0000e+02 3.9600e+02 6.8500e+02 5.9900e+02 1.7700e+02 1.1700e+02\n",
      " 2.4100e+02 2.8600e+02 2.1700e+02 3.7800e+02 3.3700e+02        nan\n",
      " 6.4900e+02 6.3200e+02 3.7100e+02 2.3500e+02 1.2300e+02 2.8700e+02\n",
      " 1.8700e+02 4.3300e+02 1.3500e+02 1.5250e+03 5.5100e+02 3.7200e+02\n",
      " 1.7200e+02 2.1200e+02 1.8400e+02 2.0500e+02 1.0300e+02 2.8300e+02\n",
      " 2.0400e+02 1.2100e+02 2.1300e+02 3.7300e+02 1.5700e+02 1.8900e+02\n",
      " 1.7400e+02 1.9900e+02 2.4300e+02 2.4200e+02 2.4700e+02 1.7000e+02\n",
      " 2.2600e+02 2.1100e+02 1.3560e+03 8.6100e+02 2.0600e+02 1.5200e+02\n",
      " 4.7700e+02 1.7900e+02 2.8900e+02 2.0000e+02 2.5600e+02 1.9400e+02\n",
      " 3.2800e+02 8.5500e+02 5.6600e+02 9.6100e+02 2.7400e+02 1.5000e+02\n",
      " 6.1500e+02 1.8600e+02 4.0500e+02 9.4600e+02 2.8200e+02 1.4300e+02\n",
      " 4.6300e+02 2.4900e+02 1.3990e+03 2.4600e+02 2.2400e+02 2.9200e+02\n",
      " 2.0900e+02 9.8900e+02 1.6200e+02 2.0200e+02 2.7100e+02 3.6000e+02\n",
      " 2.2100e+02 7.5200e+02 2.1600e+02 5.0900e+02 1.8000e+02 2.5100e+02\n",
      " 2.0300e+02 3.2200e+02 3.2100e+02 2.2200e+02 8.2800e+02 3.5100e+02\n",
      " 7.0300e+02 2.1400e+02 8.2200e+02 9.4300e+02 6.5700e+02 4.0900e+02\n",
      " 6.9000e+02 1.7800e+02 1.2590e+03 2.9800e+02 2.7500e+02 3.4000e+02\n",
      " 2.6400e+02 2.9700e+02 5.7200e+02 4.1800e+02 1.2400e+03 1.4400e+02\n",
      " 4.3100e+02 1.9700e+02 6.0400e+02 2.8400e+02 1.7500e+02 2.7200e+02\n",
      " 3.3200e+02 4.9400e+02 2.6800e+02 3.1400e+02 2.2800e+02 2.5800e+02\n",
      " 4.2600e+02 2.9900e+02 6.3100e+02 2.3600e+02 9.1800e+02 1.9600e+02\n",
      " 3.5800e+02 2.4400e+02 2.5000e+02 3.1700e+02 5.3400e+02 3.9700e+02\n",
      " 6.1000e+02 2.9600e+02 2.3100e+02 2.5700e+02 3.0800e+02 1.6400e+02\n",
      " 3.4900e+02 3.1300e+02 2.8500e+02 2.0100e+02 4.3500e+02 3.5300e+02\n",
      " 4.6800e+02 3.0700e+02 7.0800e+02 3.8100e+02 9.8800e+02 5.9300e+02\n",
      " 3.8000e+02 3.8500e+02 3.4600e+02 3.1200e+02 2.2900e+02 1.7600e+02\n",
      " 3.9800e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  23.   40.   21.   15.    9.   20. 1160.   22.   36.   14.   16.   48.\n",
      "   50.   10.   84.   11.   12.   17.   98.   28.   41.   38.   51.   18.\n",
      "   46.   34.    7.  129.   nan   33.   45.   13.   44.   78.  158.    8.\n",
      "   25.   39.   26.   19.   24.   57.  110.   29.   43.   54.   31.   89.\n",
      "   62.  323.   55.  113.   30.   76.   56.   27.   52.   42.  134.  105.\n",
      "   87.   79.   60.   32.  627.  100.  156.  169.  102.   53.   66.  120.\n",
      "   37.   68.   77.   35.  831.   85.  108.  191.  617.   80.   71.  124.\n",
      "   69.   99.   49.  149.  130.  159.   61.  165.   70.   75.   64.  132.\n",
      "   81.  115.  171.   91.   92.   47.  238.  182.  122.   74.  370.   63.\n",
      "  116.  193.  131.  163.  167.  126.   67.  106. 1095.   72.  136.   59.\n",
      "   83.  153.   94.  139.  198.  188.  154.  301.  366.  127.  155.  101.\n",
      "  260.  232.   82.   73.  444.  442.   65.   58.  423.  104.  137.  240.\n",
      "  111.  118.  141.  563.  192.  138.  145.   93.  767.  389.  528.  455.\n",
      "  142.  151.  310.  160.  109.  530.   90.  114.  140.  276.  548.  147.\n",
      "   86.   96.  133.  119.  210.  305.  125.  336.  181.  112.  215.  107.\n",
      "   88.  269.  190.   97.  259.  585.  128.  747.  146.  280.  208.  491.\n",
      "  414.  219.  148.  316.  161.  303.  168.   95.  327.  233.  195.  263.\n",
      "  325.  434.  237.  183.  345.  626.  173. 1320.  223.  253.  443.  166.\n",
      " 1175.  359.  252.  185.  239.  706.  400.  396.  685.  599.  177.  117.\n",
      "  241.  286.  217.  378.  337.  649.  632.  371.  235.  123.  287.  187.\n",
      "  433.  135. 1525.  551.  372.  172.  212.  184.  205.  103.  283.  204.\n",
      "  121.  213.  373.  157.  189.  174.  199.  243.  242.  247.  170.  226.\n",
      "  211. 1356.  861.  206.  152.  477.  179.  289.  200.  256.  194.  328.\n",
      "  855.  566.  961.  274.  150.  615.  186.  405.  946.  282.  143.  463.\n",
      "  249. 1399.  246.  224.  292.  209.  989.  162.  202.  271.  360.  221.\n",
      "  752.  216.  509.  180.  251.  203.  322.  321.  222.  828.  351.  703.\n",
      "  214.  822.  943.  657.  409.  690.  178. 1259.  298.  275.  340.  264.\n",
      "  297.  572.  418. 1240.  144.  431.  197.  604.  284.  175.  272.  332.\n",
      "  494.  268.  314.  228.  258.  426.  299.  631.  236.  918.  196.  358.\n",
      "  244.  250.  317.  534.  397.  610.  296.  231.  257.  308.  164.  349.\n",
      "  313.  285.  201.  435.  353.  468.  307.  708.  381.  988.  593.  380.\n",
      "  385.  346.  312.  229.  176.  398.]\n",
      "-----------------------------------------\n",
      "CT1_R_GTP gtp@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 9.9999e+04 1.8000e+01 2.8000e+01 1.9000e+01 8.0000e+00\n",
      " 1.4000e+01 5.5000e+01 1.3000e+01 1.7000e+01 4.2000e+01 2.4000e+01\n",
      " 1.6000e+01 5.0000e+01 3.7000e+01 2.0000e+01 2.7000e+01 6.1000e+01\n",
      " 1.5000e+01 4.9000e+01 2.3000e+01 9.0000e+00 1.0000e+01 1.2000e+01\n",
      " 3.5000e+01 5.6000e+01 2.9000e+01 6.8500e+02 3.0000e+01 4.0000e+01\n",
      " 3.2000e+01 2.1000e+01 2.5000e+01 1.1000e+01 2.2000e+01 2.6000e+01\n",
      " 1.3300e+02 1.0900e+02 6.9000e+01 2.4000e+02 4.4000e+01 4.3000e+01\n",
      " 3.4000e+01 6.3000e+01 1.1900e+02 8.0000e+01 3.1000e+01 4.1000e+01\n",
      " 3.3000e+01 3.6000e+01 4.6000e+01 1.7000e+02 8.5000e+01 8.4000e+01\n",
      " 8.1000e+01 6.0000e+01 1.3700e+02 5.3000e+01 5.8000e+01 3.8000e+01\n",
      " 7.0000e+01 7.0000e+00 6.4000e+01 1.1500e+02 5.2000e+01 1.4500e+02\n",
      " 7.9000e+01 5.1000e+01 2.6800e+02 1.2900e+02 1.0200e+02 5.7000e+01\n",
      " 9.3000e+01 9.0000e+01 1.1400e+02 7.6000e+01 9.9000e+01 1.6600e+02\n",
      " 7.4000e+01 3.9000e+01 7.1000e+01 7.2000e+01 6.5000e+01 5.4000e+01\n",
      " 6.7000e+01 4.7000e+01 7.8000e+01 6.8000e+01 4.5000e+01 1.8900e+02\n",
      " 6.6000e+01 8.2000e+01 9.5000e+01 1.0500e+02 1.4100e+02 1.1200e+02\n",
      " 9.1000e+01 1.1800e+02 7.3000e+01 4.8000e+01 1.3600e+02 6.2000e+01\n",
      " 1.8600e+02 8.6000e+01 1.1000e+02 1.4400e+02 5.9000e+01 1.6000e+02\n",
      " 9.2000e+01 8.9000e+01 2.8800e+02 2.1400e+02 1.3900e+02 2.0900e+02\n",
      " 1.2200e+02 1.3000e+02 9.8000e+01 1.7600e+02 9.7000e+01 9.4000e+01\n",
      " 1.3800e+02 1.0300e+02 1.5800e+02 1.1300e+02 7.5000e+01 1.8100e+02\n",
      " 1.9900e+02 2.7400e+02 1.0800e+02 1.5400e+02 1.4000e+02 1.2100e+02\n",
      " 1.0000e+02 1.1700e+02 1.0600e+02 1.3200e+02 7.7000e+01 9.6000e+01\n",
      " 1.2500e+02 1.5300e+02 2.9000e+02 8.8000e+01 8.7000e+01 2.3400e+02\n",
      " 1.0100e+02 3.4900e+02 8.3000e+01 3.6900e+02 7.4900e+02 2.7800e+02\n",
      " 1.3500e+02 1.2300e+02 1.3400e+02 5.8600e+02 1.0700e+02 1.2600e+02\n",
      " 2.4800e+02 8.1300e+02 2.8900e+02 1.5100e+02 1.0400e+02 1.8500e+02\n",
      " 1.8000e+02 1.6200e+02 3.7400e+02 2.8100e+02 2.6300e+02 4.6900e+02\n",
      " 1.7700e+02 1.7400e+02 2.2600e+02 1.4200e+02 1.7300e+02 2.2400e+02\n",
      " 2.5100e+02 2.2000e+02 1.6100e+02 1.6800e+02 2.0400e+02 1.7500e+02\n",
      " 2.5000e+02 1.2400e+02 2.0700e+02 2.6900e+02 1.1100e+02 1.8300e+02\n",
      " 2.9700e+02 3.0400e+02 1.2800e+02 2.8200e+02 1.8800e+02 1.2700e+02\n",
      " 1.4600e+02 1.6900e+02 1.5700e+02 2.3500e+02 2.0200e+02 5.3200e+02\n",
      " 2.5500e+02 2.3000e+02 9.4900e+02 3.2400e+02 1.5000e+02 1.5900e+02\n",
      " 1.6500e+02 2.0800e+02 1.5500e+02 5.3100e+02 2.1200e+02 4.8200e+02\n",
      " 4.2300e+02 2.0600e+02 1.3100e+02 3.0600e+02 1.1600e+02 2.1500e+02\n",
      " 3.8900e+02 5.1800e+02 1.5200e+02 3.0000e+02 1.6700e+02 2.4700e+02\n",
      " 1.4700e+02 3.7200e+02 1.4800e+02 1.4900e+02 2.5700e+02 9.6500e+02\n",
      " 2.4400e+02 1.9200e+02 1.7200e+02 3.5600e+02 1.9000e+02 4.9500e+02\n",
      " 4.9600e+02 7.4400e+02 2.9200e+02 1.8700e+02 3.2000e+02 3.1200e+02\n",
      " 1.6400e+02 1.8400e+02 1.2000e+02 2.3800e+02 2.2900e+02 1.7100e+02\n",
      " 7.9200e+02 2.1800e+02 1.7900e+02 2.0300e+02 5.8100e+02 2.5800e+02\n",
      " 2.4200e+02 6.0500e+02 4.1800e+02 1.4300e+02 3.4200e+02 1.5600e+02\n",
      " 2.1600e+02 1.9100e+02 2.7700e+02 1.9400e+02 1.7800e+02 1.6300e+02\n",
      " 3.0300e+02 3.4100e+02 2.4600e+02 2.3100e+02 4.8100e+02 2.6200e+02\n",
      " 7.9600e+02 2.3600e+02 3.8700e+02 1.9800e+02 2.8400e+02 2.0000e+02\n",
      " 1.8200e+02 1.9600e+02 2.7200e+02 3.5000e+02 2.3200e+02 2.2500e+02\n",
      " 3.1700e+02 2.7300e+02 2.4100e+02 5.2800e+02 2.9300e+02 4.3000e+02\n",
      " 2.6400e+02 2.1100e+02 2.9600e+02 5.8500e+02 2.1900e+02 2.4300e+02\n",
      " 1.9700e+02 4.7600e+02 4.6800e+02 5.4300e+02 2.0500e+02 2.2700e+02\n",
      " 3.9500e+02 4.4600e+02 4.4900e+02 4.2500e+02 2.0100e+02 6.6100e+02\n",
      " 3.3400e+02 7.5000e+02 2.5900e+02 4.5800e+02 3.2500e+02 2.9100e+02\n",
      " 2.9800e+02 4.6100e+02 9.9900e+02 4.8600e+02 6.5800e+02 2.1700e+02\n",
      " 2.9500e+02 4.0400e+02 2.7500e+02 2.6600e+02 3.1400e+02 6.7400e+02\n",
      " 2.1300e+02 3.2200e+02 3.1100e+02 3.9900e+02 8.9200e+02 2.4500e+02\n",
      " 3.2900e+02 5.1300e+02 1.2040e+03 3.8800e+02 1.9500e+02 3.4400e+02\n",
      " 2.7000e+02 3.6600e+02 2.1000e+02 2.5600e+02 7.4800e+02 9.3500e+02\n",
      " 4.6300e+02 4.4100e+02 5.0300e+02 4.5400e+02 3.0800e+02 2.2200e+02\n",
      " 2.3700e+02 8.6800e+02 4.3100e+02 1.9300e+02 5.5400e+02 6.1600e+02\n",
      " 2.9900e+02 2.6500e+02 7.8000e+02 2.5400e+02 2.3300e+02 4.1100e+02\n",
      " 3.1000e+02 5.3000e+02 2.5200e+02 2.2300e+02 8.2600e+02 9.9900e+01\n",
      " 6.4100e+02 2.2800e+02 2.4900e+02 3.9800e+02 2.8700e+02 2.2100e+02\n",
      " 3.3300e+02 7.9000e+02 3.2100e+02 4.9300e+02 3.2600e+02 1.8130e+03\n",
      " 8.5400e+02 5.2000e+02 5.8800e+02 6.4400e+02 3.2800e+02 4.2400e+02\n",
      " 5.4400e+02 5.9800e+02 3.4700e+02 2.8500e+02 4.0200e+02 3.5900e+02\n",
      " 3.8400e+02 3.7100e+02 3.4300e+02 2.9400e+02 3.6700e+02 4.0000e+02\n",
      " 3.6300e+02 3.1500e+02 3.4000e+02 2.6100e+02 4.2700e+02 3.0500e+02\n",
      " 6.0700e+02 5.5700e+02 7.2400e+02 3.4500e+02 4.0900e+02 5.5800e+02\n",
      " 3.0900e+02 2.7900e+02 3.4800e+02 3.5800e+02 8.8700e+02 4.3700e+02\n",
      " 3.0100e+02 3.7800e+02 3.9300e+02 3.2300e+02 2.3900e+02 4.0800e+02\n",
      " 3.6500e+02 3.1800e+02 2.7600e+02 2.5300e+02 3.3000e+02 2.7100e+02\n",
      " 1.0170e+03 5.3900e+02 3.7600e+02 1.4090e+03 3.8200e+02 3.8000e+02\n",
      " 6.3500e+02 4.1400e+02 3.2700e+02 2.6700e+02 1.1600e+03 2.8600e+02\n",
      " 6.9200e+02 8.2900e+02 1.1760e+03 3.5700e+02 5.1200e+02 4.0600e+02\n",
      " 9.7300e+02 3.1600e+02 4.0700e+02 1.0900e+03 2.8000e+02 2.2280e+03\n",
      " 6.6600e+02 1.1250e+03 4.8700e+02 5.4200e+02 7.6300e+02 3.7300e+02\n",
      " 7.1500e+02 3.5100e+02 3.5300e+02 4.5600e+02 6.0300e+02 6.6400e+02\n",
      " 4.3900e+02 4.3800e+02 6.7900e+02 5.7800e+02 5.5200e+02 3.4600e+02\n",
      " 4.1000e+02 7.7300e+02 1.2080e+03 8.5600e+02 4.5900e+02 1.8810e+03\n",
      " 6.2400e+02 1.0850e+03 3.3800e+02 4.1300e+02 9.3000e+02 1.8470e+03\n",
      " 1.8220e+03 6.1300e+02 5.2300e+02 3.9600e+02 4.5200e+02 4.4400e+02\n",
      " 6.9000e+02 7.6400e+02 5.9400e+02 4.1700e+02 2.6000e+02 3.3500e+02\n",
      " 6.7700e+02 5.2900e+02 3.5200e+02 4.3300e+02 1.0160e+03 1.0650e+03\n",
      " 3.3900e+02 5.5100e+02 4.6600e+02 3.8300e+02 8.1000e+02 2.9900e+03]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [   nan   18.    28.    19.     8.    14.    55.    13.    17.    42.\n",
      "   24.    16.    50.    37.    20.    27.    61.    15.    49.    23.\n",
      "    9.    10.    12.    35.    56.    29.   685.    30.    40.    32.\n",
      "   21.    25.    11.    22.    26.   133.   109.    69.   240.    44.\n",
      "   43.    34.    63.   119.    80.    31.    41.    33.    36.    46.\n",
      "  170.    85.    84.    81.    60.   137.    53.    58.    38.    70.\n",
      "    7.    64.   115.    52.   145.    79.    51.   268.   129.   102.\n",
      "   57.    93.    90.   114.    76.    99.   166.    74.    39.    71.\n",
      "   72.    65.    54.    67.    47.    78.    68.    45.   189.    66.\n",
      "   82.    95.   105.   141.   112.    91.   118.    73.    48.   136.\n",
      "   62.   186.    86.   110.   144.    59.   160.    92.    89.   288.\n",
      "  214.   139.   209.   122.   130.    98.   176.    97.    94.   138.\n",
      "  103.   158.   113.    75.   181.   199.   274.   108.   154.   140.\n",
      "  121.   100.   117.   106.   132.    77.    96.   125.   153.   290.\n",
      "   88.    87.   234.   101.   349.    83.   369.   749.   278.   135.\n",
      "  123.   134.   586.   107.   126.   248.   813.   289.   151.   104.\n",
      "  185.   180.   162.   374.   281.   263.   469.   177.   174.   226.\n",
      "  142.   173.   224.   251.   220.   161.   168.   204.   175.   250.\n",
      "  124.   207.   269.   111.   183.   297.   304.   128.   282.   188.\n",
      "  127.   146.   169.   157.   235.   202.   532.   255.   230.   949.\n",
      "  324.   150.   159.   165.   208.   155.   531.   212.   482.   423.\n",
      "  206.   131.   306.   116.   215.   389.   518.   152.   300.   167.\n",
      "  247.   147.   372.   148.   149.   257.   965.   244.   192.   172.\n",
      "  356.   190.   495.   496.   744.   292.   187.   320.   312.   164.\n",
      "  184.   120.   238.   229.   171.   792.   218.   179.   203.   581.\n",
      "  258.   242.   605.   418.   143.   342.   156.   216.   191.   277.\n",
      "  194.   178.   163.   303.   341.   246.   231.   481.   262.   796.\n",
      "  236.   387.   198.   284.   200.   182.   196.   272.   350.   232.\n",
      "  225.   317.   273.   241.   528.   293.   430.   264.   211.   296.\n",
      "  585.   219.   243.   197.   476.   468.   543.   205.   227.   395.\n",
      "  446.   449.   425.   201.   661.   334.   750.   259.   458.   325.\n",
      "  291.   298.   461.   999.   486.   658.   217.   295.   404.   275.\n",
      "  266.   314.   674.   213.   322.   311.   399.   892.   245.   329.\n",
      "  513.  1204.   388.   195.   344.   270.   366.   210.   256.   748.\n",
      "  935.   463.   441.   503.   454.   308.   222.   237.   868.   431.\n",
      "  193.   554.   616.   299.   265.   780.   254.   233.   411.   310.\n",
      "  530.   252.   223.   826.    99.9  641.   228.   249.   398.   287.\n",
      "  221.   333.   790.   321.   493.   326.  1813.   854.   520.   588.\n",
      "  644.   328.   424.   544.   598.   347.   285.   402.   359.   384.\n",
      "  371.   343.   294.   367.   400.   363.   315.   340.   261.   427.\n",
      "  305.   607.   557.   724.   345.   409.   558.   309.   279.   348.\n",
      "  358.   887.   437.   301.   378.   393.   323.   239.   408.   365.\n",
      "  318.   276.   253.   330.   271.  1017.   539.   376.  1409.   382.\n",
      "  380.   635.   414.   327.   267.  1160.   286.   692.   829.  1176.\n",
      "  357.   512.   406.   973.   316.   407.  1090.   280.  2228.   666.\n",
      " 1125.   487.   542.   763.   373.   715.   351.   353.   456.   603.\n",
      "  664.   439.   438.   679.   578.   552.   346.   410.   773.  1208.\n",
      "  856.   459.  1881.   624.  1085.   338.   413.   930.  1847.  1822.\n",
      "  613.   523.   396.   452.   444.   690.   764.   594.   417.   260.\n",
      "  335.   677.   529.   352.   433.  1016.  1065.   339.   551.   466.\n",
      "  383.   810.  2990. ]\n",
      "-----------------------------------------\n",
      "AS1_R_GTP_TR gtp@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.3000e+01 1.4000e+01 4.1000e+01 1.1000e+02 1.2000e+01\n",
      " 3.9500e+02 2.0000e+01 8.0000e+00 1.7000e+01 2.3000e+01 4.2000e+01\n",
      " 5.6000e+01 2.6000e+01 9.0000e+00 2.7000e+01 1.5000e+01 2.9000e+01\n",
      " 1.1600e+02 1.6000e+01 2.1000e+01 1.1000e+01 5.8000e+01 1.8000e+01\n",
      " 2.8000e+01 4.0000e+01 1.9000e+01 4.4000e+01 2.9500e+02 1.0000e+01\n",
      " 3.1000e+01 3.8000e+01 1.5000e+02 2.4000e+01 3.2000e+01 1.3020e+03\n",
      " 4.9000e+01 6.7000e+01 4.8000e+01 6.2000e+01 7.6000e+01 3.3000e+01\n",
      " 4.3000e+01 3.5000e+01 8.8000e+01 3.0400e+02 6.3200e+02 1.4300e+02\n",
      " 3.9000e+01 2.5000e+01 3.6000e+01 7.8000e+01 3.7000e+01 1.5200e+02\n",
      " 1.5900e+02 5.9000e+01 5.7000e+01 7.4000e+01 1.7500e+02 4.7000e+01\n",
      " 2.1200e+02 4.6000e+01 6.0000e+00 1.9700e+02 2.8500e+02 1.0400e+02\n",
      " 5.4000e+01 5.1000e+01 7.9000e+01 8.6000e+01 1.0200e+02 9.0000e+01\n",
      " 4.5000e+01 1.2520e+03 9.5000e+01 2.2000e+01 5.0300e+02 1.4800e+02\n",
      " 5.7500e+02 8.5000e+01 8.4000e+01 1.9600e+02 8.7000e+01 1.0300e+03\n",
      " 1.3500e+02 3.7300e+02 1.0900e+02 7.3000e+01 3.0000e+01 3.4000e+01\n",
      " 1.3400e+02 6.4000e+01 6.3000e+01 6.8000e+01 6.9000e+01 5.2000e+01\n",
      " 2.3600e+02 6.0000e+01 5.3000e+01 6.1000e+01 1.1900e+02 1.5100e+02\n",
      " 8.2000e+01 8.3000e+01 7.0000e+00 1.0700e+02 5.0000e+01 2.8600e+02\n",
      " 9.6000e+01 9.8000e+01 8.1000e+01 1.1100e+02 2.6700e+02 7.0000e+01\n",
      " 5.5000e+01 1.4700e+02 1.2000e+02 1.8200e+02 6.5000e+01 1.6000e+02\n",
      " 8.0000e+01 9.7000e+01 3.8500e+02 2.6300e+02 1.4900e+02 6.6000e+01\n",
      " 2.5400e+02 1.4400e+02 7.5000e+01 1.4100e+02 2.1900e+02 7.7000e+01\n",
      " 9.4000e+01 1.8900e+02 2.9000e+02 9.1000e+01 1.1320e+03 8.9000e+01\n",
      " 5.0000e+00 1.0800e+02 3.1000e+02 1.3800e+02 3.4200e+02 4.9700e+02\n",
      " 1.2300e+02 5.5100e+02 1.8600e+02 3.6400e+02 4.0000e+00 5.0400e+02\n",
      " 9.2000e+01 1.7800e+02 2.7000e+02 7.1000e+01 4.1700e+02 1.1500e+02\n",
      " 1.8400e+02 1.2700e+02 5.4800e+02 2.7800e+02 1.6700e+02 1.3900e+02\n",
      " 2.0100e+02 1.0600e+02 2.3100e+02 1.2600e+02 9.3000e+01 5.5500e+02\n",
      " 2.5000e+02 3.0300e+02 1.1300e+02 4.6100e+02 3.6500e+02 1.4500e+02\n",
      " 9.9000e+01 1.9500e+02 1.7200e+02 3.2900e+02 1.0300e+02 7.2000e+01\n",
      " 2.2200e+02 1.0100e+02 5.2000e+02 1.2100e+02 2.0500e+02 1.6900e+02\n",
      " 1.1700e+02 2.1400e+02 1.3100e+02 2.0900e+02 1.4200e+02 1.2400e+02\n",
      " 1.2900e+02 4.5200e+02 5.5800e+02 1.9900e+02 1.0500e+02 2.4800e+02\n",
      " 2.7100e+02 1.2200e+02 1.7300e+02 1.2500e+02 5.0900e+02 1.7900e+02\n",
      " 2.5600e+02 1.6300e+02 2.6600e+02 1.6400e+02 3.1700e+02 1.3600e+02\n",
      " 1.1400e+02 2.9800e+02 2.3000e+02 9.5100e+02 1.2800e+02 3.5300e+02\n",
      " 1.8100e+02 7.1900e+02 3.4800e+02 1.4000e+02 1.0000e+02 1.6500e+02\n",
      " 1.1800e+02 2.2500e+02 9.6300e+02 4.4400e+02 3.1100e+02 1.3200e+02\n",
      " 1.8300e+02 1.1200e+02 3.0600e+02 4.0300e+02 1.6600e+02 3.3700e+02\n",
      " 1.6200e+02 1.3700e+02 1.5500e+02 1.7400e+02 2.1800e+02 4.3600e+02\n",
      " 1.3000e+02 1.8000e+02 1.6800e+02 2.0400e+02 1.9400e+02 2.0600e+02\n",
      " 1.5700e+02 2.4700e+02 6.7300e+02 2.5700e+02 2.2600e+02 2.6200e+02\n",
      " 2.7500e+02 1.9000e+02 2.4000e+02 2.8900e+02 5.8600e+02 1.3300e+02\n",
      " 1.5800e+02 1.7000e+02 6.1300e+02 4.6900e+02 3.5400e+02 2.3700e+02\n",
      " 2.4300e+02 2.7400e+02 4.5700e+02 2.0000e+02 1.4600e+02 2.2400e+02\n",
      " 3.8900e+02 1.7100e+02 2.1300e+02 1.9300e+02 1.5300e+02 3.9200e+02\n",
      " 5.9500e+02 3.6100e+02 2.4500e+02 4.8600e+02 9.9999e+04 6.9500e+02\n",
      " 2.7900e+02 1.4000e+03 1.9200e+02 3.1900e+02 6.6700e+02 5.5400e+02\n",
      " 1.8700e+02 6.0600e+02 1.5400e+02 7.0000e+02 3.6300e+02 5.4900e+02\n",
      " 4.0900e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan   13.   14.   41.  110.   12.  395.   20.    8.   17.   23.   42.\n",
      "   56.   26.    9.   27.   15.   29.  116.   16.   21.   11.   58.   18.\n",
      "   28.   40.   19.   44.  295.   10.   31.   38.  150.   24.   32. 1302.\n",
      "   49.   67.   48.   62.   76.   33.   43.   35.   88.  304.  632.  143.\n",
      "   39.   25.   36.   78.   37.  152.  159.   59.   57.   74.  175.   47.\n",
      "  212.   46.    6.  197.  285.  104.   54.   51.   79.   86.  102.   90.\n",
      "   45. 1252.   95.   22.  503.  148.  575.   85.   84.  196.   87. 1030.\n",
      "  135.  373.  109.   73.   30.   34.  134.   64.   63.   68.   69.   52.\n",
      "  236.   60.   53.   61.  119.  151.   82.   83.    7.  107.   50.  286.\n",
      "   96.   98.   81.  111.  267.   70.   55.  147.  120.  182.   65.  160.\n",
      "   80.   97.  385.  263.  149.   66.  254.  144.   75.  141.  219.   77.\n",
      "   94.  189.  290.   91. 1132.   89.    5.  108.  310.  138.  342.  497.\n",
      "  123.  551.  186.  364.    4.  504.   92.  178.  270.   71.  417.  115.\n",
      "  184.  127.  548.  278.  167.  139.  201.  106.  231.  126.   93.  555.\n",
      "  250.  303.  113.  461.  365.  145.   99.  195.  172.  329.  103.   72.\n",
      "  222.  101.  520.  121.  205.  169.  117.  214.  131.  209.  142.  124.\n",
      "  129.  452.  558.  199.  105.  248.  271.  122.  173.  125.  509.  179.\n",
      "  256.  163.  266.  164.  317.  136.  114.  298.  230.  951.  128.  353.\n",
      "  181.  719.  348.  140.  100.  165.  118.  225.  963.  444.  311.  132.\n",
      "  183.  112.  306.  403.  166.  337.  162.  137.  155.  174.  218.  436.\n",
      "  130.  180.  168.  204.  194.  206.  157.  247.  673.  257.  226.  262.\n",
      "  275.  190.  240.  289.  586.  133.  158.  170.  613.  469.  354.  237.\n",
      "  243.  274.  457.  200.  146.  224.  389.  171.  213.  193.  153.  392.\n",
      "  595.  361.  245.  486.  695.  279. 1400.  192.  319.  667.  554.  187.\n",
      "  606.  154.  700.  363.  549.  409.]\n",
      "-----------------------------------------\n",
      "NC1_TCHL total_cholesterol@(x!=66666)&(x!=77777)&(x!=99999)@x [1.8400e+02 1.7400e+02 2.2000e+02 2.3800e+02 1.5600e+02 1.9900e+02\n",
      " 1.8800e+02 1.6600e+02 2.4300e+02 2.0800e+02 2.0000e+02 2.3200e+02\n",
      " 2.1200e+02 2.2900e+02 1.5500e+02 2.5300e+02 1.3700e+02 1.7900e+02\n",
      " 2.1400e+02 1.8700e+02 2.1500e+02 1.4200e+02 1.6700e+02 2.0500e+02\n",
      " 1.8000e+02 1.8200e+02 2.6600e+02 2.2700e+02 2.0400e+02 2.5100e+02\n",
      " 1.2000e+02 2.5900e+02 1.9800e+02 1.8500e+02 2.0100e+02 2.0200e+02\n",
      " 2.5800e+02 1.6500e+02 1.9300e+02 1.5300e+02 2.1900e+02 1.5900e+02\n",
      " 2.2400e+02 2.2600e+02 1.7500e+02 2.1100e+02 1.9400e+02 1.7100e+02\n",
      " 2.3600e+02 3.0100e+02 1.6900e+02 1.9500e+02 1.6400e+02 2.4700e+02\n",
      " 2.2500e+02 2.0600e+02 1.9200e+02 2.2100e+02 2.6800e+02 2.6900e+02\n",
      " 2.2300e+02 1.4100e+02 2.1300e+02 1.7700e+02 2.0300e+02 2.4100e+02\n",
      " 1.8600e+02 2.4600e+02 1.0900e+02 2.4500e+02 1.8900e+02 1.6300e+02\n",
      " 1.3300e+02 2.3100e+02 2.3500e+02 1.5200e+02 1.7000e+02 1.5700e+02\n",
      " 1.7200e+02 2.6100e+02 2.7100e+02 1.5100e+02 1.6200e+02 3.1700e+02\n",
      " 1.3600e+02 1.7300e+02 1.7800e+02 2.0700e+02 1.9700e+02 2.2800e+02\n",
      " 1.6800e+02 2.5000e+02 1.0700e+02 2.4200e+02 1.8300e+02 1.2700e+02\n",
      " 1.4900e+02 1.5800e+02 1.2400e+02 1.5000e+02 1.1500e+02 2.1700e+02\n",
      " 1.0800e+02 1.2600e+02 2.5600e+02 2.3300e+02 1.8100e+02 1.2900e+02\n",
      " 1.4300e+02 1.9600e+02 2.8200e+02 2.1600e+02 1.1000e+02 2.6500e+02\n",
      " 1.5400e+02 2.6300e+02 2.2200e+02 2.5500e+02 1.4800e+02 1.3400e+02\n",
      " 1.1800e+02 2.0900e+02 2.3400e+02 2.4800e+02 2.3700e+02 2.7200e+02\n",
      " 2.6000e+02 1.7600e+02 2.9800e+02 1.6000e+02 2.8600e+02 1.3000e+02\n",
      " 1.9100e+02 2.6400e+02 2.3900e+02 2.5400e+02 1.4400e+02 2.1800e+02\n",
      " 2.8400e+02 2.7800e+02 2.4400e+02 1.9000e+02 1.4500e+02 1.3200e+02\n",
      " 2.1000e+02 1.2300e+02 2.6700e+02 3.1100e+02 2.6200e+02 1.4700e+02\n",
      " 1.1100e+02 2.5200e+02 2.4900e+02 2.8300e+02 1.4600e+02 1.6100e+02\n",
      " 2.9200e+02 2.7000e+02 2.7700e+02 2.8000e+02 2.7900e+02 1.1700e+02\n",
      " 2.9600e+02 2.3000e+02 3.0200e+02 2.9300e+02 2.7300e+02 1.3100e+02\n",
      " 1.3500e+02 1.0600e+02 2.7500e+02 1.3900e+02 2.9700e+02 2.8800e+02\n",
      " 3.3700e+02 2.5700e+02 1.1600e+02 1.4000e+02 1.3800e+02 2.4000e+02\n",
      " 2.9400e+02 2.7400e+02 3.0600e+02 1.2200e+02 2.8700e+02 1.2500e+02\n",
      " 2.8900e+02 2.8100e+02 2.9100e+02 2.7600e+02 3.4000e+02 2.9500e+02\n",
      " 1.0000e+02 2.9000e+02 3.0400e+02 1.2800e+02 1.1200e+02 3.6000e+02\n",
      " 3.2100e+02 3.0900e+02 1.0100e+02 3.3900e+02 9.9000e+01 1.1300e+02\n",
      " 3.9200e+02 3.1600e+02 3.0700e+02 1.0500e+02 3.0000e+02 3.9400e+02\n",
      " 3.4400e+02 2.9900e+02 3.0800e+02 1.1900e+02 2.8500e+02 1.1400e+02\n",
      " 9.5000e+01 1.2100e+02 3.5400e+02 4.2300e+02 3.2900e+02 3.1500e+02\n",
      " 9.3000e+01 3.1200e+02 3.1800e+02 1.0300e+02 9.4000e+01 3.2500e+02\n",
      " 3.4500e+02 3.0500e+02 3.1300e+02 3.2200e+02 9.6000e+01 3.2700e+02\n",
      " 1.0200e+02        nan 3.1000e+02 9.7000e+01 3.7200e+02 1.0400e+02\n",
      " 3.5300e+02 3.3000e+02 4.7800e+02 3.8200e+02 3.2800e+02 9.0000e+01\n",
      " 3.1400e+02 3.0300e+02 3.5000e+02 3.4600e+02 3.2000e+02 3.5700e+02\n",
      " 4.5000e+02 8.7000e+01 9.9999e+04 3.5800e+02 3.2400e+02 9.1000e+01\n",
      " 3.1900e+02 3.6500e+02 4.0300e+02 3.4900e+02 3.4700e+02 3.3100e+02\n",
      " 3.4800e+02 8.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [184. 174. 220. 238. 156. 199. 188. 166. 243. 208. 200. 232. 212. 229.\n",
      " 155. 253. 137. 179. 214. 187. 215. 142. 167. 205. 180. 182. 266. 227.\n",
      " 204. 251. 120. 259. 198. 185. 201. 202. 258. 165. 193. 153. 219. 159.\n",
      " 224. 226. 175. 211. 194. 171. 236. 301. 169. 195. 164. 247. 225. 206.\n",
      " 192. 221. 268. 269. 223. 141. 213. 177. 203. 241. 186. 246. 109. 245.\n",
      " 189. 163. 133. 231. 235. 152. 170. 157. 172. 261. 271. 151. 162. 317.\n",
      " 136. 173. 178. 207. 197. 228. 168. 250. 107. 242. 183. 127. 149. 158.\n",
      " 124. 150. 115. 217. 108. 126. 256. 233. 181. 129. 143. 196. 282. 216.\n",
      " 110. 265. 154. 263. 222. 255. 148. 134. 118. 209. 234. 248. 237. 272.\n",
      " 260. 176. 298. 160. 286. 130. 191. 264. 239. 254. 144. 218. 284. 278.\n",
      " 244. 190. 145. 132. 210. 123. 267. 311. 262. 147. 111. 252. 249. 283.\n",
      " 146. 161. 292. 270. 277. 280. 279. 117. 296. 230. 302. 293. 273. 131.\n",
      " 135. 106. 275. 139. 297. 288. 337. 257. 116. 140. 138. 240. 294. 274.\n",
      " 306. 122. 287. 125. 289. 281. 291. 276. 340. 295. 100. 290. 304. 128.\n",
      " 112. 360. 321. 309. 101. 339.  99. 113. 392. 316. 307. 105. 300. 394.\n",
      " 344. 299. 308. 119. 285. 114.  95. 121. 354. 423. 329. 315.  93. 312.\n",
      " 318. 103.  94. 325. 345. 305. 313. 322.  96. 327. 102.  nan 310.  97.\n",
      " 372. 104. 353. 330. 478. 382. 328.  90. 314. 303. 350. 346. 320. 357.\n",
      " 450.  87. 358. 324.  91. 319. 365. 403. 349. 347. 331. 348.  80.]\n",
      "-----------------------------------------\n",
      "CT1_TCHL total_cholesterol@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.8200e+02 2.3900e+02 1.6400e+02 2.5700e+02 1.6100e+02\n",
      " 1.9800e+02 2.2800e+02 1.9500e+02 1.7300e+02 1.3600e+02 2.0800e+02\n",
      " 1.7500e+02 2.4800e+02 2.1100e+02 1.3500e+02 2.5300e+02 1.8600e+02\n",
      " 1.8900e+02 1.7600e+02 2.2000e+02 1.5600e+02 1.7400e+02 2.0400e+02\n",
      " 1.9300e+02 2.5500e+02 1.3200e+02 2.0600e+02 1.7200e+02 1.7900e+02\n",
      " 1.8100e+02 2.4400e+02 1.2700e+02 1.7100e+02 1.9900e+02 2.2400e+02\n",
      " 2.1800e+02 1.4500e+02 1.5500e+02 2.6000e+02 1.7000e+02 2.0700e+02\n",
      " 1.2400e+02 2.1500e+02 1.9600e+02 1.8400e+02 2.0500e+02 2.1000e+02\n",
      " 2.4700e+02 2.6800e+02 1.6600e+02 1.3800e+02 2.1200e+02 1.9000e+02\n",
      " 2.2300e+02 2.2100e+02 2.0300e+02 2.5800e+02 1.2500e+02 1.6300e+02\n",
      " 1.9700e+02 1.3700e+02 1.5200e+02 1.6800e+02 2.9400e+02 1.7700e+02\n",
      " 1.5900e+02 2.7900e+02 2.1600e+02 2.2200e+02 1.6200e+02 2.3000e+02\n",
      " 1.8500e+02 2.1900e+02 2.2900e+02 2.3300e+02 2.2500e+02 1.8800e+02\n",
      " 2.6900e+02 2.4000e+02 1.6900e+02 2.8700e+02 1.5300e+02 2.7300e+02\n",
      " 2.0000e+02 1.4700e+02 2.0200e+02 2.3200e+02 1.9200e+02 2.3400e+02\n",
      " 1.9100e+02 1.7800e+02 2.2600e+02 1.4900e+02 2.2700e+02 1.8700e+02\n",
      " 1.9400e+02 2.3700e+02 1.4800e+02 2.8300e+02 2.3100e+02 2.6200e+02\n",
      " 1.5700e+02 3.2900e+02 1.5100e+02 2.3800e+02 2.6500e+02 1.8300e+02\n",
      " 1.8000e+02 1.2000e+02 1.6500e+02 1.6700e+02 1.5400e+02 3.0700e+02\n",
      " 2.1300e+02 1.5000e+02 2.5100e+02 2.4200e+02 2.1400e+02 1.2900e+02\n",
      " 1.3300e+02 2.1700e+02 2.0100e+02 2.3600e+02 9.8000e+01 1.1900e+02\n",
      " 1.3000e+02 1.6000e+02 2.5600e+02 2.5400e+02 1.5800e+02 1.1700e+02\n",
      " 2.8400e+02 2.4300e+02 2.4100e+02 2.5200e+02 2.7400e+02 2.8100e+02\n",
      " 2.8200e+02 2.0900e+02 1.2100e+02 2.9800e+02 2.4600e+02 1.2800e+02\n",
      " 1.1300e+02 2.4900e+02 2.7200e+02 2.3500e+02 1.4300e+02 3.5800e+02\n",
      " 2.6400e+02 2.6700e+02 1.3100e+02 2.7700e+02 1.4000e+02 2.9700e+02\n",
      " 1.2200e+02 1.4600e+02 1.4200e+02 2.7800e+02 1.2300e+02 2.5900e+02\n",
      " 2.5000e+02 1.3900e+02 2.8600e+02 2.6100e+02 2.7600e+02 1.4400e+02\n",
      " 1.0400e+02 1.1000e+02 2.7000e+02 2.6300e+02 3.0500e+02 2.7100e+02\n",
      " 1.0600e+02 2.4500e+02 1.4100e+02 2.6600e+02 3.7800e+02 1.3400e+02\n",
      " 3.1500e+02 2.8900e+02 1.0000e+02 1.1800e+02 3.0400e+02 3.4000e+02\n",
      " 9.7000e+01 3.0100e+02 2.9500e+02 1.0800e+02 2.8500e+02 1.1400e+02\n",
      " 3.1300e+02 2.9200e+02 2.8000e+02 1.1500e+02 2.7500e+02 1.2600e+02\n",
      " 2.9600e+02 9.6000e+01 1.0100e+02 3.3000e+02 1.1200e+02 3.0600e+02\n",
      " 2.9100e+02 1.0700e+02 1.0900e+02 3.0800e+02 3.2600e+02 1.1100e+02\n",
      " 9.1000e+01 3.1200e+02 3.2000e+02 1.0500e+02 3.0000e+02 3.7700e+02\n",
      " 3.6500e+02 1.1600e+02 3.1000e+02 2.9900e+02 2.8800e+02 3.0300e+02\n",
      " 9.3000e+01 3.4300e+02 4.0500e+02 2.9300e+02 3.0200e+02 3.2100e+02\n",
      " 2.9000e+02 3.2200e+02 1.0200e+02 3.0900e+02 1.0300e+02 3.4200e+02\n",
      " 3.1700e+02 3.4800e+02 9.0000e+01 3.7600e+02 3.2800e+02 9.9000e+01\n",
      " 3.3900e+02 3.1400e+02 3.4900e+02 3.3300e+02 3.9900e+02 3.1900e+02\n",
      " 8.5000e+01 3.1100e+02 9.4000e+01 8.2000e+01 3.9700e+02 3.3700e+02\n",
      " 3.6600e+02 3.3400e+02 3.2400e+02 4.3100e+02 3.9400e+02 3.4600e+02\n",
      " 3.2300e+02 3.6400e+02 3.5700e+02 3.2700e+02 8.3000e+01 4.3900e+02\n",
      " 9.5000e+01 7.6000e+01 3.3100e+02 3.1800e+02 7.9000e+01 3.4100e+02\n",
      " 3.6200e+02 3.2500e+02 3.7100e+02 3.7400e+02 4.3600e+02 3.3600e+02\n",
      " 3.1600e+02 8.8000e+01 3.6000e+02 3.4400e+02 9.9999e+04 4.0100e+02\n",
      " 9.2000e+01 3.7500e+02 3.8000e+02 3.7200e+02 4.2500e+02 3.3500e+02\n",
      " 3.6100e+02 4.2800e+02 3.8200e+02 8.6000e+01 3.8100e+02 4.5200e+02\n",
      " 3.9800e+02 3.6800e+02 3.4500e+02 4.3500e+02 8.7000e+01 8.1000e+01\n",
      " 3.9100e+02 3.6700e+02 3.5900e+02 3.8900e+02 5.2600e+02 3.5600e+02\n",
      " 3.5400e+02 3.4700e+02 3.5300e+02 3.3200e+02 4.2900e+02 8.0000e+01\n",
      " 6.0000e+02 3.6300e+02 3.7300e+02 7.8000e+01 3.3800e+02 6.7000e+01\n",
      " 4.1800e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 182. 239. 164. 257. 161. 198. 228. 195. 173. 136. 208. 175. 248.\n",
      " 211. 135. 253. 186. 189. 176. 220. 156. 174. 204. 193. 255. 132. 206.\n",
      " 172. 179. 181. 244. 127. 171. 199. 224. 218. 145. 155. 260. 170. 207.\n",
      " 124. 215. 196. 184. 205. 210. 247. 268. 166. 138. 212. 190. 223. 221.\n",
      " 203. 258. 125. 163. 197. 137. 152. 168. 294. 177. 159. 279. 216. 222.\n",
      " 162. 230. 185. 219. 229. 233. 225. 188. 269. 240. 169. 287. 153. 273.\n",
      " 200. 147. 202. 232. 192. 234. 191. 178. 226. 149. 227. 187. 194. 237.\n",
      " 148. 283. 231. 262. 157. 329. 151. 238. 265. 183. 180. 120. 165. 167.\n",
      " 154. 307. 213. 150. 251. 242. 214. 129. 133. 217. 201. 236.  98. 119.\n",
      " 130. 160. 256. 254. 158. 117. 284. 243. 241. 252. 274. 281. 282. 209.\n",
      " 121. 298. 246. 128. 113. 249. 272. 235. 143. 358. 264. 267. 131. 277.\n",
      " 140. 297. 122. 146. 142. 278. 123. 259. 250. 139. 286. 261. 276. 144.\n",
      " 104. 110. 270. 263. 305. 271. 106. 245. 141. 266. 378. 134. 315. 289.\n",
      " 100. 118. 304. 340.  97. 301. 295. 108. 285. 114. 313. 292. 280. 115.\n",
      " 275. 126. 296.  96. 101. 330. 112. 306. 291. 107. 109. 308. 326. 111.\n",
      "  91. 312. 320. 105. 300. 377. 365. 116. 310. 299. 288. 303.  93. 343.\n",
      " 405. 293. 302. 321. 290. 322. 102. 309. 103. 342. 317. 348.  90. 376.\n",
      " 328.  99. 339. 314. 349. 333. 399. 319.  85. 311.  94.  82. 397. 337.\n",
      " 366. 334. 324. 431. 394. 346. 323. 364. 357. 327.  83. 439.  95.  76.\n",
      " 331. 318.  79. 341. 362. 325. 371. 374. 436. 336. 316.  88. 360. 344.\n",
      " 401.  92. 375. 380. 372. 425. 335. 361. 428. 382.  86. 381. 452. 398.\n",
      " 368. 345. 435.  87.  81. 391. 367. 359. 389. 526. 356. 354. 347. 353.\n",
      " 332. 429.  80. 600. 363. 373.  78. 338.  67. 418.]\n",
      "-----------------------------------------\n",
      "AS1_TCHL_TR total_cholesterol@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.9000e+02 2.0600e+02 1.6300e+02 2.2900e+02 1.7100e+02\n",
      " 1.5400e+02 2.3800e+02 2.0900e+02 1.4200e+02 1.7500e+02 1.6600e+02\n",
      " 2.3900e+02 1.7400e+02 2.6000e+02 2.1100e+02 1.6800e+02 1.6900e+02\n",
      " 2.1600e+02 2.5600e+02 1.7900e+02 1.3600e+02 1.8600e+02 1.8200e+02\n",
      " 2.0000e+02 2.5200e+02 2.0300e+02 1.5200e+02 2.2200e+02 2.1000e+02\n",
      " 1.6100e+02 1.8800e+02 1.7000e+02 1.9500e+02 1.8000e+02 1.9300e+02\n",
      " 2.0700e+02 2.5900e+02 2.2500e+02 2.3200e+02 1.4900e+02 2.4000e+02\n",
      " 1.7700e+02 2.1300e+02 3.2000e+02 2.2400e+02 1.6500e+02 1.7600e+02\n",
      " 2.3600e+02 1.5000e+02 1.7300e+02 1.8300e+02 2.0400e+02 2.1900e+02\n",
      " 2.2000e+02 1.6000e+02 2.1500e+02 1.4700e+02 2.6300e+02 1.2800e+02\n",
      " 1.5700e+02 1.7800e+02 1.5500e+02 2.3000e+02 2.4400e+02 2.1700e+02\n",
      " 2.4700e+02 1.6700e+02 2.5100e+02 2.8600e+02 2.3700e+02 1.9900e+02\n",
      " 1.4500e+02 2.7800e+02 2.0100e+02 2.2600e+02 2.1400e+02 2.5300e+02\n",
      " 1.6400e+02 2.5400e+02 1.3400e+02 1.8400e+02 1.7200e+02 2.0500e+02\n",
      " 1.8100e+02 1.5900e+02 2.4500e+02 2.2100e+02 2.3100e+02 1.2100e+02\n",
      " 1.1100e+02 2.8000e+02 2.0200e+02 1.2500e+02 1.4000e+02 1.9800e+02\n",
      " 1.8900e+02 2.4600e+02 1.5800e+02 1.3800e+02 1.4400e+02 1.6200e+02\n",
      " 1.3500e+02 2.3500e+02 1.1500e+02 1.3700e+02 1.8700e+02 1.3300e+02\n",
      " 1.9200e+02 1.1600e+02 1.9600e+02 1.1900e+02 2.2300e+02 2.7900e+02\n",
      " 1.9100e+02 1.8500e+02 2.8700e+02 1.9700e+02 2.1200e+02 2.4800e+02\n",
      " 2.3300e+02 1.4300e+02 2.0800e+02 1.4800e+02 1.2700e+02 2.1800e+02\n",
      " 1.5300e+02 1.4600e+02 1.3100e+02 2.6100e+02 2.2700e+02 3.0400e+02\n",
      " 2.4100e+02 2.5000e+02 2.7700e+02 1.5600e+02 3.1700e+02 1.9400e+02\n",
      " 1.5100e+02 2.2800e+02 3.5800e+02 1.2900e+02 2.8100e+02 2.6500e+02\n",
      " 1.4100e+02 2.5700e+02 2.4900e+02 1.3200e+02 2.6700e+02 2.8200e+02\n",
      " 1.3900e+02 3.1200e+02 2.6400e+02 2.7000e+02 2.7300e+02 2.5500e+02\n",
      " 2.7600e+02 2.9100e+02 2.5800e+02 3.2700e+02 1.0200e+02 2.8400e+02\n",
      " 2.7400e+02 2.4200e+02 2.7200e+02 2.3400e+02 1.2600e+02 2.8800e+02\n",
      " 3.0700e+02 1.1200e+02 1.3000e+02 3.0300e+02 2.4300e+02 2.9000e+02\n",
      " 2.8900e+02 7.4000e+01 2.9400e+02 4.0000e+02 1.2400e+02 2.9600e+02\n",
      " 2.8300e+02 2.9300e+02 1.1000e+02 2.7100e+02 3.1800e+02 1.0900e+02\n",
      " 1.0700e+02 1.0400e+02 3.0000e+02 3.1400e+02 4.4000e+01 3.0100e+02\n",
      " 2.6900e+02 1.2200e+02 2.9700e+02 9.7000e+01 2.6200e+02 2.9800e+02\n",
      " 9.5000e+01 3.3900e+02 2.9900e+02 3.2400e+02 8.1000e+01 9.6000e+01\n",
      " 2.6600e+02 1.1800e+02 3.0200e+02 2.6800e+02 2.9200e+02 3.0500e+02\n",
      " 1.2000e+02 2.8500e+02 2.7500e+02 1.1400e+02 1.1300e+02 3.0900e+02\n",
      " 7.9000e+01 1.0100e+02 1.1700e+02 1.2300e+02 1.0000e+02 3.1300e+02\n",
      " 3.3000e+02 1.0600e+02 8.8000e+01 1.0500e+02 9.9999e+04 3.1100e+02\n",
      " 1.0800e+02 3.3500e+02 9.0000e+01 3.6900e+02 3.3100e+02 3.7200e+02\n",
      " 8.0000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 190. 206. 163. 229. 171. 154. 238. 209. 142. 175. 166. 239. 174.\n",
      " 260. 211. 168. 169. 216. 256. 179. 136. 186. 182. 200. 252. 203. 152.\n",
      " 222. 210. 161. 188. 170. 195. 180. 193. 207. 259. 225. 232. 149. 240.\n",
      " 177. 213. 320. 224. 165. 176. 236. 150. 173. 183. 204. 219. 220. 160.\n",
      " 215. 147. 263. 128. 157. 178. 155. 230. 244. 217. 247. 167. 251. 286.\n",
      " 237. 199. 145. 278. 201. 226. 214. 253. 164. 254. 134. 184. 172. 205.\n",
      " 181. 159. 245. 221. 231. 121. 111. 280. 202. 125. 140. 198. 189. 246.\n",
      " 158. 138. 144. 162. 135. 235. 115. 137. 187. 133. 192. 116. 196. 119.\n",
      " 223. 279. 191. 185. 287. 197. 212. 248. 233. 143. 208. 148. 127. 218.\n",
      " 153. 146. 131. 261. 227. 304. 241. 250. 277. 156. 317. 194. 151. 228.\n",
      " 358. 129. 281. 265. 141. 257. 249. 132. 267. 282. 139. 312. 264. 270.\n",
      " 273. 255. 276. 291. 258. 327. 102. 284. 274. 242. 272. 234. 126. 288.\n",
      " 307. 112. 130. 303. 243. 290. 289.  74. 294. 400. 124. 296. 283. 293.\n",
      " 110. 271. 318. 109. 107. 104. 300. 314.  44. 301. 269. 122. 297.  97.\n",
      " 262. 298.  95. 339. 299. 324.  81.  96. 266. 118. 302. 268. 292. 305.\n",
      " 120. 285. 275. 114. 113. 309.  79. 101. 117. 123. 100. 313. 330. 106.\n",
      "  88. 105. 311. 108. 335.  90. 369. 331. 372.  80.]\n",
      "-----------------------------------------\n",
      "NC1_HDL hdl_cholesterol@(x!=66666)&(x!=77777)&(x!=99999)@x [3.2000e+01 3.3000e+01 4.1000e+01 3.6000e+01 4.4000e+01 4.8000e+01\n",
      " 4.2000e+01 5.9000e+01 4.7000e+01 5.1000e+01 4.3000e+01 4.6000e+01\n",
      " 6.6000e+01 3.8000e+01 6.4000e+01 3.9000e+01 4.0000e+01 5.2000e+01\n",
      " 2.1000e+01 2.8000e+01 5.4000e+01 3.0000e+01 4.5000e+01 5.3000e+01\n",
      " 6.8000e+01 5.0000e+01 3.7000e+01 5.7000e+01 4.9000e+01 6.3000e+01\n",
      " 6.5000e+01 3.4000e+01 5.8000e+01 3.1000e+01 6.0000e+01 6.1000e+01\n",
      " 8.2000e+01 7.1000e+01 5.5000e+01 2.4000e+01 3.5000e+01 6.7000e+01\n",
      " 2.5000e+01 5.6000e+01 2.9000e+01 7.5000e+01 2.7000e+01 7.3000e+01\n",
      " 7.4000e+01 2.6000e+01 9.7000e+01 7.0000e+01 8.7000e+01 1.0500e+02\n",
      " 6.2000e+01 9.9000e+01 1.1000e+02 8.0000e+01 7.7000e+01 7.2000e+01\n",
      " 6.9000e+01 7.6000e+01 9.1000e+01 2.0000e+01 8.3000e+01 8.6000e+01\n",
      " 9.2000e+01 8.1000e+01 8.8000e+01 1.9000e+01 7.8000e+01 1.1300e+02\n",
      " 7.9000e+01 8.5000e+01 2.3000e+01 9.3000e+01 1.0900e+02 9.0000e+00\n",
      " 9.9999e+04 9.0000e+01 1.6000e+01 2.2000e+01 1.8000e+01 8.4000e+01\n",
      " 9.4000e+01        nan 9.5000e+01 1.2700e+02 8.9000e+01 1.0100e+02\n",
      " 1.0600e+02 1.0400e+02 1.4000e+01 9.8000e+01 1.0300e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 32.  33.  41.  36.  44.  48.  42.  59.  47.  51.  43.  46.  66.  38.\n",
      "  64.  39.  40.  52.  21.  28.  54.  30.  45.  53.  68.  50.  37.  57.\n",
      "  49.  63.  65.  34.  58.  31.  60.  61.  82.  71.  55.  24.  35.  67.\n",
      "  25.  56.  29.  75.  27.  73.  74.  26.  97.  70.  87. 105.  62.  99.\n",
      " 110.  80.  77.  72.  69.  76.  91.  20.  83.  86.  92.  81.  88.  19.\n",
      "  78. 113.  79.  85.  23.  93. 109.   9.  nan  90.  16.  22.  18.  84.\n",
      "  94.  95. 127.  89. 101. 106. 104.  14.  98. 103.]\n",
      "-----------------------------------------\n",
      "CT1_HDL hdl_cholesterol@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.2000e+01 4.6000e+01 5.8000e+01 2.8000e+01 6.7000e+01\n",
      " 3.5000e+01 9.9000e+01 3.9000e+01 3.7000e+01 4.4000e+01 5.9000e+01\n",
      " 6.0000e+01 8.0000e+01 3.3000e+01 4.3000e+01 6.9000e+01 5.5000e+01\n",
      " 3.6000e+01 6.1000e+01 7.0000e+01 5.7000e+01 5.0000e+01 7.9000e+01\n",
      " 4.7000e+01 4.5000e+01 7.3000e+01 4.0000e+01 5.2000e+01 7.1000e+01\n",
      " 3.4000e+01 8.2000e+01 6.5000e+01 5.4000e+01 4.9000e+01 5.1000e+01\n",
      " 6.3000e+01 4.8000e+01 7.6000e+01 4.1000e+01 5.3000e+01 5.6000e+01\n",
      " 3.1000e+01 6.2000e+01 9.0000e+01 7.2000e+01 3.0000e+01 3.8000e+01\n",
      " 6.4000e+01 6.6000e+01 8.5000e+01 7.8000e+01 7.5000e+01 3.2000e+01\n",
      " 7.4000e+01 8.4000e+01 9.8000e+01 8.3000e+01 8.7000e+01 8.1000e+01\n",
      " 2.5000e+01 7.7000e+01 6.8000e+01 8.9000e+01 2.7000e+01 9.6000e+01\n",
      " 2.9000e+01 8.6000e+01 1.8000e+01 1.1400e+02 9.1000e+01 1.0700e+02\n",
      " 1.1100e+02 9.5000e+01 2.6000e+01 9.4000e+01 1.0300e+02 9.2000e+01\n",
      " 1.0100e+02 9.3000e+01 8.8000e+01 2.4000e+01 9.7000e+01 2.2000e+01\n",
      " 1.0000e+02 1.0200e+02 1.0600e+02 1.1200e+02 1.2100e+02 1.7000e+01\n",
      " 1.1000e+02 2.0000e+01 1.2400e+02 1.0800e+02 1.2000e+02 2.3000e+01\n",
      " 1.0500e+02 2.1000e+01 1.1500e+02 1.5000e+01 1.6000e+01 1.0400e+02\n",
      " 1.2800e+02 1.2900e+02 7.0000e+00 8.0000e+00 1.3600e+02 1.9000e+01\n",
      " 1.0900e+02 1.1900e+02 9.9999e+04 1.4400e+02 1.2300e+02 1.1700e+02\n",
      " 1.1300e+02 1.3300e+02 1.3700e+02 1.3000e+01 1.2700e+02 1.2500e+02\n",
      " 1.1800e+02 1.4100e+02 1.1000e+01 1.1600e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  42.  46.  58.  28.  67.  35.  99.  39.  37.  44.  59.  60.  80.\n",
      "  33.  43.  69.  55.  36.  61.  70.  57.  50.  79.  47.  45.  73.  40.\n",
      "  52.  71.  34.  82.  65.  54.  49.  51.  63.  48.  76.  41.  53.  56.\n",
      "  31.  62.  90.  72.  30.  38.  64.  66.  85.  78.  75.  32.  74.  84.\n",
      "  98.  83.  87.  81.  25.  77.  68.  89.  27.  96.  29.  86.  18. 114.\n",
      "  91. 107. 111.  95.  26.  94. 103.  92. 101.  93.  88.  24.  97.  22.\n",
      " 100. 102. 106. 112. 121.  17. 110.  20. 124. 108. 120.  23. 105.  21.\n",
      " 115.  15.  16. 104. 128. 129.   7.   8. 136.  19. 109. 119. 144. 123.\n",
      " 117. 113. 133. 137.  13. 127. 125. 118. 141.  11. 116.]\n",
      "-----------------------------------------\n",
      "AS1_HDL_TR hdl_cholesterol@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.8000e+01 6.9000e+01 4.7000e+01 6.4000e+01 4.3000e+01\n",
      " 4.9000e+01 6.3000e+01 6.8000e+01 5.3000e+01 3.9000e+01 4.4000e+01\n",
      " 4.0000e+01 5.5000e+01 5.8000e+01 5.2000e+01 5.7000e+01 3.5000e+01\n",
      " 6.1000e+01 3.3000e+01 3.7000e+01 3.2000e+01 7.6000e+01 5.0000e+01\n",
      " 5.6000e+01 3.4000e+01 4.2000e+01 4.1000e+01 3.8000e+01 3.6000e+01\n",
      " 2.9000e+01 6.0000e+01 2.7000e+01 7.1000e+01 7.2000e+01 3.1000e+01\n",
      " 4.5000e+01 3.0000e+01 8.7000e+01 4.6000e+01 6.2000e+01 6.5000e+01\n",
      " 5.1000e+01 5.9000e+01 2.8000e+01 8.8000e+01 5.4000e+01 2.4000e+01\n",
      " 2.6000e+01 6.6000e+01 9.5000e+01 6.7000e+01 8.3000e+01 7.7000e+01\n",
      " 8.2000e+01 2.5000e+01 7.3000e+01 7.0000e+01 7.5000e+01 8.5000e+01\n",
      " 8.4000e+01 8.0000e+01 8.9000e+01 7.4000e+01 9.1000e+01 9.3000e+01\n",
      " 1.6000e+01 8.1000e+01 7.8000e+01 7.9000e+01 2.3000e+01 8.6000e+01\n",
      " 9.0000e+01 9.9999e+04 9.6000e+01 2.1000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 48. 69. 47. 64. 43. 49. 63. 68. 53. 39. 44. 40. 55. 58. 52. 57. 35.\n",
      " 61. 33. 37. 32. 76. 50. 56. 34. 42. 41. 38. 36. 29. 60. 27. 71. 72. 31.\n",
      " 45. 30. 87. 46. 62. 65. 51. 59. 28. 88. 54. 24. 26. 66. 95. 67. 83. 77.\n",
      " 82. 25. 73. 70. 75. 85. 84. 80. 89. 74. 91. 93. 16. 81. 78. 79. 23. 86.\n",
      " 90. 96. 21.]\n",
      "-----------------------------------------\n",
      "NC1_HBA1C hba1c@(x!=66666)&(x!=77777)&(x!=99999)@x [6.6666e+04        nan 5.3000e+00 5.6000e+00 6.3000e+00 5.5000e+00\n",
      " 5.9000e+00 5.7000e+00 6.6000e+00 5.4000e+00 7.7000e+00 5.8000e+00\n",
      " 6.2000e+00 6.0000e+00 5.0000e+00 7.1000e+00 5.1000e+00 6.7000e+00\n",
      " 6.4000e+00 6.1000e+00 4.9000e+00 8.8000e+00 6.5000e+00 7.2000e+00\n",
      " 5.2000e+00 7.5000e+00 1.3100e+01 7.6000e+00 4.7000e+00 9.9999e+04\n",
      " 4.3000e+00 1.1500e+01 6.9000e+00 8.9000e+00 7.3000e+00 7.4000e+00\n",
      " 4.8000e+00 9.6000e+00 7.9000e+00 9.3000e+00 4.6000e+00 4.5000e+00\n",
      " 8.3000e+00 8.4000e+00 9.2000e+00 8.1000e+00 7.0000e+00 6.8000e+00\n",
      " 2.2000e+00 8.0000e+00 8.2000e+00 9.0000e+00 7.8000e+00 8.5000e+00\n",
      " 1.0800e+01 9.4000e+00 1.0100e+01 8.6000e+00 9.5000e+00 9.7000e+00\n",
      " 1.2000e+01 9.8000e+00 1.1100e+01 1.0000e+01 3.8000e+00 4.4000e+00\n",
      " 1.1400e+01 3.9000e+00 9.1000e+00 1.3000e+01 1.1000e+01 4.2000e+00\n",
      " 1.2200e+01 3.3000e+00 1.0200e+01 1.3300e+01 1.1200e+01 4.0000e+00\n",
      " 4.1000e+00 3.6000e+00 1.0500e+01 1.1300e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  5.3  5.6  6.3  5.5  5.9  5.7  6.6  5.4  7.7  5.8  6.2  6.   5.\n",
      "  7.1  5.1  6.7  6.4  6.1  4.9  8.8  6.5  7.2  5.2  7.5 13.1  7.6  4.7\n",
      "  4.3 11.5  6.9  8.9  7.3  7.4  4.8  9.6  7.9  9.3  4.6  4.5  8.3  8.4\n",
      "  9.2  8.1  7.   6.8  2.2  8.   8.2  9.   7.8  8.5 10.8  9.4 10.1  8.6\n",
      "  9.5  9.7 12.   9.8 11.1 10.   3.8  4.4 11.4  3.9  9.1 13.  11.   4.2\n",
      " 12.2  3.3 10.2 13.3 11.2  4.   4.1  3.6 10.5 11.3]\n",
      "-----------------------------------------\n",
      "CT1_HBA1C hba1c@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 9.9999e+04 5.1000e+00 5.4000e+00 5.5000e+00\n",
      " 5.6000e+00 5.7000e+00 5.9000e+00 6.1000e+00 7.3000e+00 5.8000e+00\n",
      " 5.2000e+00 8.6000e+00 4.8000e+00 5.3000e+00 6.3000e+00 6.0000e+00\n",
      " 6.2000e+00 5.0000e+00 4.9000e+00 7.0000e+00 6.5000e+00 4.7000e+00\n",
      " 4.4000e+00 8.0000e+00 9.1000e+00 7.5000e+00 7.2000e+00 6.7000e+00\n",
      " 6.4000e+00 6.8000e+00 9.7000e+00 7.8000e+00 6.9000e+00 7.7000e+00\n",
      " 6.6000e+00 8.2000e+00 8.4000e+00 7.6000e+00 8.1000e+00 1.3600e+01\n",
      " 8.3000e+00 7.1000e+00 4.5000e+00 4.6000e+00 1.1800e+01 7.4000e+00\n",
      " 1.1700e+01 1.4900e+01 7.9000e+00 8.7000e+00 1.3900e+01 9.2000e+00\n",
      " 8.9000e+00 9.8000e+00 8.5000e+00 1.1100e+01 8.8000e+00 4.2000e+00\n",
      " 1.1900e+01 1.0100e+01 1.2700e+01 9.6000e+00 9.5000e+00 9.0000e+00\n",
      " 1.1000e+01 1.2200e+01 9.9000e+00 9.3000e+00 4.3000e+00 1.0700e+01\n",
      " 1.0300e+01 1.2400e+01 1.2100e+01 1.0800e+01 1.0900e+01 1.0400e+01\n",
      " 3.9000e+00 9.4000e+00 1.3300e+01 1.0200e+01 1.0500e+01 1.4500e+01\n",
      " 1.1200e+01 3.3000e+00 3.8000e+00 1.4600e+01 1.1400e+01 1.0600e+01\n",
      " 1.0000e+01 1.3400e+01 1.1300e+01 1.3100e+01 1.2800e+01 1.3000e+01\n",
      " 1.1500e+01 4.1000e+00 4.0000e+00 1.2300e+01 1.2500e+01 1.3800e+01\n",
      " 1.2600e+01 3.7000e+00 1.2900e+01 2.5000e+00 1.2000e+01 1.1600e+01\n",
      " 1.6200e+01 3.6000e+00 1.6600e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  5.1  5.4  5.5  5.6  5.7  5.9  6.1  7.3  5.8  5.2  8.6  4.8  5.3\n",
      "  6.3  6.   6.2  5.   4.9  7.   6.5  4.7  4.4  8.   9.1  7.5  7.2  6.7\n",
      "  6.4  6.8  9.7  7.8  6.9  7.7  6.6  8.2  8.4  7.6  8.1 13.6  8.3  7.1\n",
      "  4.5  4.6 11.8  7.4 11.7 14.9  7.9  8.7 13.9  9.2  8.9  9.8  8.5 11.1\n",
      "  8.8  4.2 11.9 10.1 12.7  9.6  9.5  9.  11.  12.2  9.9  9.3  4.3 10.7\n",
      " 10.3 12.4 12.1 10.8 10.9 10.4  3.9  9.4 13.3 10.2 10.5 14.5 11.2  3.3\n",
      "  3.8 14.6 11.4 10.6 10.  13.4 11.3 13.1 12.8 13.  11.5  4.1  4.  12.3\n",
      " 12.5 13.8 12.6  3.7 12.9  2.5 12.  11.6 16.2  3.6 16.6]\n",
      "-----------------------------------------\n",
      "AS1_HBA1C hba1c@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.0000e+00 6.1000e+00 5.4000e+00 7.5000e+00 6.5000e+00\n",
      " 5.8000e+00 5.7000e+00 1.0600e+01 5.2000e+00 5.9000e+00 5.6000e+00\n",
      " 5.3000e+00 5.1000e+00 8.2000e+00 6.7000e+00 5.5000e+00 6.6000e+00\n",
      " 8.9000e+00 6.2000e+00 6.4000e+00 5.0000e+00 7.6000e+00 6.3000e+00\n",
      " 6.8000e+00 4.8000e+00 1.0100e+01 4.4000e+00 1.0800e+01 8.7000e+00\n",
      " 9.3000e+00 7.3000e+00 8.8000e+00 4.9000e+00 7.2000e+00 9.4000e+00\n",
      " 9.0000e+00 7.0000e+00 4.1000e+00 7.7000e+00 7.4000e+00 9.1000e+00\n",
      " 8.0000e+00 8.1000e+00 4.6000e+00 7.8000e+00 7.1000e+00 4.2000e+00\n",
      " 9.5000e+00 9.7000e+00 8.6000e+00 9.2000e+00 7.9000e+00 8.4000e+00\n",
      " 8.3000e+00 1.0200e+01 8.5000e+00 6.9000e+00 1.2100e+01 4.7000e+00\n",
      " 1.1700e+01 1.0500e+01 4.5000e+00 1.0300e+01 1.1000e+01 1.1600e+01\n",
      " 9.8000e+00 1.0700e+01 1.2500e+01 1.3500e+01 1.0000e+01 1.1300e+01\n",
      " 9.9000e+00 1.1500e+01 1.3100e+01 1.0400e+01 1.3600e+01 1.2300e+01\n",
      " 4.3000e+00 1.2600e+01 9.6000e+00 1.3200e+01 1.0000e+00 9.9999e+04\n",
      " 1.0900e+01 1.1200e+01 1.2900e+01 1.1400e+01 1.2200e+01 1.2700e+01\n",
      " 1.2000e+01 1.1100e+01 1.6900e+01 1.3400e+01 1.1900e+01]\n",
      "# of filtered=1 before:  1\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  6.   6.1  5.4  7.5  6.5  5.8  5.7 10.6  5.2  5.9  5.6  5.3  5.1\n",
      "  8.2  6.7  5.5  6.6  8.9  6.2  6.4  5.   7.6  6.3  6.8  4.8 10.1  4.4\n",
      " 10.8  8.7  9.3  7.3  8.8  4.9  7.2  9.4  9.   7.   4.1  7.7  7.4  9.1\n",
      "  8.   8.1  4.6  7.8  7.1  4.2  9.5  9.7  8.6  9.2  7.9  8.4  8.3 10.2\n",
      "  8.5  6.9 12.1  4.7 11.7 10.5  4.5 10.3 11.  11.6  9.8 10.7 12.5 13.5\n",
      " 10.  11.3  9.9 11.5 13.1 10.4 13.6 12.3  4.3 12.6  9.6 13.2  1.  10.9\n",
      " 11.2 12.9 11.4 12.2 12.7 12.  11.1 16.9 13.4 11.9]\n",
      "-----------------------------------------\n",
      "AS1_FREET4 freet4@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.1200e+00 9.9999e+04 1.1500e+00 1.2700e+00 1.1000e+00\n",
      " 1.3500e+00 1.2100e+00 1.1700e+00 1.3100e+00 1.0900e+00 9.6000e-01\n",
      " 1.0600e+00 1.1300e+00 1.2200e+00 9.3000e-01 1.1800e+00 1.2300e+00\n",
      " 1.4500e+00 1.0500e+00 1.5000e+00 1.2600e+00 1.1400e+00 1.0800e+00\n",
      " 1.3400e+00 1.3800e+00 1.1100e+00 1.2900e+00 9.7000e-01 1.4100e+00\n",
      " 1.0300e+00 9.1000e-01 9.4000e-01 1.0400e+00 1.0200e+00 9.9000e-01\n",
      " 1.2000e+00 1.3000e+00 1.2400e+00 1.0100e+00 1.1900e+00 1.0700e+00\n",
      " 1.2500e+00 1.4300e+00 9.8000e-01 7.9000e-01 1.3200e+00 1.5700e+00\n",
      " 7.8000e-01 1.2800e+00 8.8000e-01 1.4400e+00 1.3300e+00 1.0000e+00\n",
      " 9.5000e-01 8.3000e-01 1.6600e+00 1.5600e+00 1.3900e+00 1.4200e+00\n",
      " 1.6000e+00 8.7000e-01 1.3600e+00 2.3500e+00 1.4700e+00 6.1000e-01\n",
      " 8.6000e-01 2.0600e+00 1.1600e+00 5.6000e-01 9.0000e-01 9.2000e-01\n",
      " 8.2000e-01 1.4000e+00 1.5400e+00 1.5200e+00 1.4900e+00 1.6400e+00\n",
      " 7.7000e-01]\n",
      "# of filtered=1 before:  2\n",
      "# of filtered=2 after:  0 , conversion unique [ nan 1.12 1.15 1.27 1.1  1.35 1.21 1.17 1.31 1.09 0.96 1.06 1.13 1.22\n",
      " 0.93 1.18 1.23 1.45 1.05 1.5  1.26 1.14 1.08 1.34 1.38 1.11 1.29 0.97\n",
      " 1.41 1.03 0.91 0.94 1.04 1.02 0.99 1.2  1.3  1.24 1.01 1.19 1.07 1.25\n",
      " 1.43 0.98 0.79 1.32 1.57 0.78 1.28 0.88 1.44 1.33 1.   0.95 0.83 1.66\n",
      " 1.56 1.39 1.42 1.6  0.87 1.36 2.35 1.47 0.61 0.86 2.06 1.16 0.56 0.9\n",
      " 0.92 0.82 1.4  1.54 1.52 1.49 1.64 0.77]\n",
      "-----------------------------------------\n",
      "AS1_TSH tsh@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 9.6000e-01 9.9999e+04 1.1400e+00 1.2300e+00 7.6000e-01\n",
      " 1.2700e+00 2.6300e+00 1.3500e+00 1.8500e+00 7.4000e-01 3.4300e+00\n",
      " 3.2800e+00 1.4000e+00 2.1600e+00 1.9500e+00 9.1000e-01 2.3100e+00\n",
      " 1.3000e+00 6.6000e-01 1.7000e+00 2.4400e+00 8.2000e-01 9.0000e-01\n",
      " 1.3700e+00 2.1200e+00 1.4700e+00 1.2400e+00 1.5300e+00 1.1300e+00\n",
      " 5.9000e-01 3.4000e+00 1.7800e+00 1.8200e+00 6.9000e-01 3.5400e+00\n",
      " 1.1600e+00 1.6600e+00 1.7100e+00 4.9900e+00 1.8300e+00 1.0800e+00\n",
      " 1.5900e+00 1.0000e+00 6.3000e-01 1.0400e+00 8.5000e-01 1.8400e+00\n",
      " 1.3300e+00 1.0100e+00 5.8000e-01 1.4400e+00 7.0000e-01 2.7500e+00\n",
      " 2.8700e+00 9.5000e-01 2.5700e+00 2.5100e+00 7.9000e-01 1.1700e+00\n",
      " 1.6900e+00 1.1000e+00 1.7300e+00 5.2000e-01 1.4800e+00 1.4500e+00\n",
      " 2.3700e+00 1.8100e+00 2.9000e-01 2.3500e+00 4.6600e+00 1.6800e+00\n",
      " 2.4800e+00 2.0600e+00 1.9200e+00 2.4300e+00 1.8700e+00 3.0000e-01\n",
      " 1.7400e+00 1.3900e+00 5.4000e-01 1.3800e+00 2.0800e+00 2.0700e+00\n",
      " 1.0200e+00 8.1000e-01 2.2500e+00 1.7500e+00 2.3600e+00 4.5800e+00\n",
      " 1.5400e+00 1.3600e+00 1.0300e+00 1.3200e+00 5.2500e+00 2.2000e+00\n",
      " 6.5000e-01 2.0200e+00 7.2600e+00 2.9200e+00 6.8000e-01 1.9900e+00\n",
      " 1.4200e+00 5.3000e-01 2.5000e+00 2.1800e+00 1.5600e+00 2.2600e+00\n",
      " 7.1000e-01 1.5700e+00 2.3300e+00 3.7200e+00 8.9000e-01 1.6500e+00\n",
      " 1.8000e+00 6.2000e-01 2.9600e+00 9.8000e-01 1.1800e+00 3.0700e+00\n",
      " 1.0900e+00 1.5000e-01 2.3800e+00 1.1500e+00 4.4000e-01 8.6000e-01\n",
      " 1.0600e+00 7.8000e-01 8.0000e-01 8.4000e-01 4.5600e+00 1.5000e+00\n",
      " 1.2900e+00 1.0500e+00 2.2100e+00 2.2700e+00 3.0800e+00 2.5500e+00\n",
      " 5.0000e+00 7.3000e-01 6.0000e-02 1.2100e+00 1.8900e+00 3.6700e+00\n",
      " 1.1200e+00 1.4300e+00 4.6000e-01 9.4000e-01 3.2900e+00 2.4600e+00\n",
      " 1.5800e+00 2.8600e+00 4.7000e-01 6.0000e-01 3.3100e+00 1.3710e+01\n",
      " 5.7000e-01 1.9600e+00 2.6500e+00 8.8000e-01 2.0500e+00 1.9700e+00\n",
      " 4.4200e+00 9.7000e-01 8.7000e-01 2.6400e+00 1.6700e+00 1.9000e+00\n",
      " 1.7000e-01 2.6700e+00 3.4400e+00 2.0100e+00 2.2900e+00 2.2800e+00\n",
      " 3.5200e+00 9.2000e-01 1.6300e+00 4.7900e+00 3.8400e+00 1.2500e+00\n",
      " 2.7800e+00 4.7100e+00 1.3100e+00 3.1400e+00 2.4000e-01 3.1000e-01\n",
      " 1.3400e+00 2.1900e+00 2.0900e+00 1.6000e+00 1.4900e+00 2.1300e+00\n",
      " 4.5000e-01]\n",
      "# of filtered=1 before:  2\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  0.96  1.14  1.23  0.76  1.27  2.63  1.35  1.85  0.74  3.43  3.28\n",
      "  1.4   2.16  1.95  0.91  2.31  1.3   0.66  1.7   2.44  0.82  0.9   1.37\n",
      "  2.12  1.47  1.24  1.53  1.13  0.59  3.4   1.78  1.82  0.69  3.54  1.16\n",
      "  1.66  1.71  4.99  1.83  1.08  1.59  1.    0.63  1.04  0.85  1.84  1.33\n",
      "  1.01  0.58  1.44  0.7   2.75  2.87  0.95  2.57  2.51  0.79  1.17  1.69\n",
      "  1.1   1.73  0.52  1.48  1.45  2.37  1.81  0.29  2.35  4.66  1.68  2.48\n",
      "  2.06  1.92  2.43  1.87  0.3   1.74  1.39  0.54  1.38  2.08  2.07  1.02\n",
      "  0.81  2.25  1.75  2.36  4.58  1.54  1.36  1.03  1.32  5.25  2.2   0.65\n",
      "  2.02  7.26  2.92  0.68  1.99  1.42  0.53  2.5   2.18  1.56  2.26  0.71\n",
      "  1.57  2.33  3.72  0.89  1.65  1.8   0.62  2.96  0.98  1.18  3.07  1.09\n",
      "  0.15  2.38  1.15  0.44  0.86  1.06  0.78  0.8   0.84  4.56  1.5   1.29\n",
      "  1.05  2.21  2.27  3.08  2.55  5.    0.73  0.06  1.21  1.89  3.67  1.12\n",
      "  1.43  0.46  0.94  3.29  2.46  1.58  2.86  0.47  0.6   3.31 13.71  0.57\n",
      "  1.96  2.65  0.88  2.05  1.97  4.42  0.97  0.87  2.64  1.67  1.9   0.17\n",
      "  2.67  3.44  2.01  2.29  2.28  3.52  0.92  1.63  4.79  3.84  1.25  2.78\n",
      "  4.71  1.31  3.14  0.24  0.31  1.34  2.19  2.09  1.6   1.49  2.13  0.45]\n",
      "-----------------------------------------\n",
      "NC1_TG triglyceride@(x!=66666)&(x!=77777)&(x!=99999)@x [4.1200e+02 1.6200e+02 2.4500e+02 1.7600e+02 7.5000e+01 1.1900e+02\n",
      " 2.4800e+02 1.5800e+02 3.8800e+02 1.2700e+02 1.0000e+02 8.8000e+01\n",
      " 1.9300e+02 1.1200e+02 1.1700e+02 1.0500e+02 1.8300e+02 6.8000e+01\n",
      " 2.0000e+02 3.0000e+01 1.5500e+02 1.3100e+02 3.6000e+02 1.2000e+02\n",
      " 1.6300e+02 1.4600e+02 1.9800e+02 1.0100e+02 1.4700e+02 8.4000e+01\n",
      " 3.1600e+02 7.7000e+01 1.1600e+02 9.7000e+01 1.0600e+02 1.9200e+02\n",
      " 1.3000e+02 5.5000e+01 2.4400e+02 3.1400e+02 2.1200e+02 7.6000e+01\n",
      " 1.5000e+02 2.7000e+02 1.2400e+02 9.2000e+01 9.1000e+01 6.0000e+01\n",
      " 1.7000e+02 1.8700e+02 2.0100e+02 1.7100e+02 1.1400e+02 1.0200e+02\n",
      " 5.7000e+01 2.4100e+02 2.2400e+02 1.0400e+02 3.0000e+02 1.2200e+02\n",
      " 2.1000e+02 1.6700e+02 1.6900e+02 3.3100e+02 1.0900e+02 7.4800e+02\n",
      " 5.8000e+01 2.4000e+02 1.2300e+02 4.0400e+02 1.5900e+02 1.4000e+02\n",
      " 1.7200e+02 1.1300e+02 1.0800e+02 4.4600e+02 9.6000e+01 8.5000e+01\n",
      " 3.3800e+02 2.3700e+02 3.8700e+02 9.8000e+01 7.4000e+01 9.9000e+01\n",
      " 6.4000e+01 7.2000e+01 1.4900e+02 7.9000e+01 8.7300e+02 3.6800e+02\n",
      " 2.3800e+02 1.3200e+02 1.9600e+02 2.3400e+02 2.6700e+02 9.0000e+01\n",
      " 2.1400e+02 2.4300e+02 2.2300e+02 1.5200e+02 1.7900e+02 1.3400e+02\n",
      " 4.9000e+01 1.9400e+02 7.0000e+01 3.1100e+02 2.1300e+02 1.3600e+02\n",
      " 3.1500e+02 9.3000e+01 2.3300e+02 5.4000e+01 1.0350e+03 4.3500e+02\n",
      " 1.7500e+02 2.9900e+02 1.5100e+02 2.3900e+02 2.0800e+02 2.5400e+02\n",
      " 8.1000e+01 1.1100e+02 1.2600e+02 1.6500e+02 4.1100e+02 6.2600e+02\n",
      " 1.4800e+02 3.5700e+02 1.6000e+02 7.8000e+01 3.3500e+02 1.9700e+02\n",
      " 1.9900e+02 1.6600e+02 3.0100e+02 1.5300e+02 3.5000e+01 1.5400e+02\n",
      " 6.7000e+01 1.2800e+02 8.2000e+01 1.5600e+02 1.0700e+02 1.3500e+02\n",
      " 1.3900e+02 6.2000e+01 6.4700e+02 1.4400e+02 1.3300e+02 5.1000e+01\n",
      " 1.3800e+02 1.8400e+02 1.7400e+02 1.8000e+02 2.5700e+02 1.2500e+02\n",
      " 2.4600e+02 4.5000e+01 2.2000e+02 2.4700e+02 1.8800e+02 2.2100e+02\n",
      " 8.3000e+01 2.0300e+02 2.9300e+02 1.6800e+02 1.5700e+02 1.3700e+02\n",
      " 7.3000e+01 3.2900e+02 4.0000e+02 2.0200e+02 2.5000e+02 3.2700e+02\n",
      " 1.6100e+02 8.9000e+01 2.3000e+02 3.0300e+02 1.7300e+02 7.1000e+01\n",
      " 3.6500e+02 1.7700e+02 9.5000e+01 5.6000e+01 4.2000e+01 5.3000e+01\n",
      " 2.0600e+02 1.4500e+02 3.1200e+02 5.9000e+01 8.7000e+01 3.0800e+02\n",
      " 1.2100e+02 2.0700e+02 3.0900e+02 2.6400e+02 1.2900e+02 2.6500e+02\n",
      " 3.8000e+01 2.6100e+02 1.1800e+02 3.6400e+02 2.8200e+02 9.4000e+01\n",
      " 4.6000e+01 2.8300e+02 2.0500e+02 2.2900e+02 5.0000e+01 2.5500e+02\n",
      " 1.0300e+02 1.4300e+02 2.2800e+02 8.6000e+01 2.6800e+02 1.8100e+02\n",
      " 2.9200e+02 2.9100e+02 4.8900e+02 1.1120e+03 2.3500e+02 8.0000e+01\n",
      " 1.8200e+02 2.1600e+02 4.8000e+01 2.2500e+02 1.1500e+02 2.6900e+02\n",
      " 6.9000e+01 2.7300e+02 1.8500e+02 1.8900e+02 3.4700e+02 4.5700e+02\n",
      " 3.0700e+02 6.6500e+02 2.5900e+02 6.3000e+01 3.4600e+02 6.5000e+01\n",
      " 2.6300e+02 2.1700e+02 2.7100e+02 2.8900e+02 2.2700e+02 2.0400e+02\n",
      " 3.4200e+02 2.1900e+02 3.0400e+02 2.7900e+02 3.3300e+02 2.3100e+02\n",
      " 1.1000e+02 2.8800e+02 3.4000e+02 6.6000e+01 4.2000e+02 2.4900e+02\n",
      " 4.7000e+01 5.4200e+02 1.7800e+02 1.6400e+02 2.7200e+02 6.6800e+02\n",
      " 2.3600e+02 1.4200e+02 2.3200e+02 5.9700e+02 4.1700e+02 5.4000e+02\n",
      " 3.7900e+02 3.6700e+02 5.1000e+02 4.4000e+01 3.8000e+02 6.1000e+01\n",
      " 7.8900e+02 3.7800e+02 9.5900e+02 3.7100e+02 2.1800e+02 2.2600e+02\n",
      " 1.4100e+02 2.6000e+02 2.5100e+02 3.3700e+02 2.5800e+02 3.6600e+02\n",
      " 1.8600e+02 1.0070e+03 7.9500e+02 3.4900e+02 2.5200e+02 3.1800e+02\n",
      " 2.8600e+02 2.9800e+02 4.1500e+02 3.2800e+02 1.9500e+02 2.1500e+02\n",
      " 2.5600e+02 2.7500e+02 5.0100e+02 4.8200e+02 3.5100e+02 2.1100e+02\n",
      " 3.1000e+02 2.7600e+02 3.9000e+01 7.8700e+02 4.0000e+01 3.5300e+02\n",
      " 3.5900e+02 2.9500e+02 3.5800e+02 3.2500e+02 7.6300e+02 2.9000e+02\n",
      " 3.0500e+02 2.4200e+02 3.2000e+01 2.7700e+02 4.7400e+02 3.8600e+02\n",
      " 2.0900e+02 8.4700e+02 2.2200e+02 2.9400e+02 3.5500e+02 2.8400e+02\n",
      " 4.0200e+02 3.1900e+02 3.8500e+02 4.3000e+01 2.6600e+02 3.9700e+02\n",
      " 1.0750e+03 7.0000e+02 3.8200e+02 4.1900e+02 2.7800e+02 2.5300e+02\n",
      " 3.6000e+01 6.2100e+02 3.9900e+02 3.4100e+02 3.7200e+02 2.6200e+02\n",
      " 2.8100e+02 4.6900e+02 3.3900e+02 4.3400e+02 2.8700e+02 7.5200e+02\n",
      " 2.9600e+02 8.8900e+02 3.7000e+02 3.2300e+02 2.7400e+02 3.7500e+02\n",
      " 5.1500e+02 6.0600e+02 8.9700e+02 4.1800e+02 6.6700e+02 3.2200e+02\n",
      " 5.3400e+02 3.2000e+02 6.2000e+02 3.4300e+02 6.0100e+02 1.9100e+02\n",
      " 6.8600e+02 3.9300e+02 4.3900e+02 3.3200e+02 4.1000e+01 3.0600e+02\n",
      " 3.2400e+02 4.4500e+02 3.6900e+02 6.7600e+02 5.0500e+02 1.9000e+02\n",
      " 6.5900e+02 3.7700e+02 3.2100e+02 4.0100e+02 5.4400e+02 6.4300e+02\n",
      " 3.7400e+02 2.8000e+02 3.3000e+01 4.4200e+02 4.2700e+02 3.8100e+02\n",
      " 3.9800e+02 3.1300e+02 4.1400e+02 8.9900e+02 5.8300e+02 6.0800e+02\n",
      " 3.0200e+02 3.9100e+02 4.8800e+02 5.9100e+02 2.9700e+02 3.6300e+02\n",
      " 5.7200e+02 4.4300e+02 5.5300e+02 4.5800e+02 3.9600e+02 4.6800e+02\n",
      " 2.8500e+02 4.6500e+02 4.2800e+02 6.8800e+02 4.9700e+02 4.5900e+02\n",
      " 5.2000e+01 5.4600e+02 8.4200e+02 3.5200e+02 4.9900e+02 4.1300e+02\n",
      " 3.4000e+01 3.5400e+02 3.1700e+02 4.5200e+02 6.7000e+02 3.9000e+02\n",
      " 3.6100e+02 3.4800e+02 4.9800e+02 4.0300e+02 5.8600e+02 3.2600e+02\n",
      " 3.9400e+02 6.2400e+02 3.4400e+02 8.2900e+02 6.3000e+02 3.5000e+02\n",
      " 5.2100e+02 3.3600e+02 3.7000e+01 4.6300e+02 8.3100e+02 5.4100e+02\n",
      " 4.0500e+02 7.3600e+02 4.3600e+02 4.1600e+02 8.6600e+02 3.8900e+02\n",
      " 4.6400e+02 1.1830e+03 7.4500e+02 6.1000e+02 3.3000e+02 5.3800e+02\n",
      " 7.9400e+02 5.4300e+02 4.1000e+02 9.2700e+02 7.0700e+02 6.4600e+02\n",
      " 3.7600e+02 5.7500e+02        nan 9.4500e+02 4.4400e+02 6.3800e+02\n",
      " 9.2800e+02 5.9300e+02 3.6200e+02 1.5520e+03 4.2500e+02 3.9200e+02\n",
      " 4.4800e+02 4.0900e+02 7.1800e+02 4.7100e+02 3.4500e+02 4.6100e+02\n",
      " 8.1400e+02 6.7900e+02 5.8900e+02 4.3100e+02 4.4000e+02 4.5000e+02\n",
      " 3.9500e+02 6.9600e+02 4.8300e+02 7.2900e+02 5.5200e+02 3.8300e+02\n",
      " 4.9600e+02 4.6200e+02 4.7300e+02 5.6700e+02 5.3700e+02 4.9300e+02\n",
      " 3.5600e+02 4.2400e+02 3.7300e+02 5.0200e+02 6.3700e+02 1.0590e+03\n",
      " 7.6400e+02 4.0800e+02 5.3300e+02 3.3400e+02 4.8500e+02 6.8100e+02\n",
      " 4.0600e+02 5.1800e+02 8.8000e+02 4.6700e+02 1.3490e+03 6.7800e+02\n",
      " 1.2160e+03 6.5700e+02 6.2900e+02 5.3100e+02 4.5300e+02 9.9999e+04\n",
      " 4.5100e+02 5.6600e+02 1.1520e+03 4.9400e+02 5.1200e+02 6.2200e+02\n",
      " 6.1500e+02 8.4400e+02 4.0700e+02 5.2600e+02 6.5400e+02 6.2500e+02\n",
      " 7.0400e+02 4.8600e+02 4.7800e+02 4.3000e+02 6.8300e+02 7.3400e+02\n",
      " 7.0500e+02 9.6000e+02 4.7600e+02 4.2200e+02 7.9200e+02 4.9200e+02\n",
      " 4.5600e+02 3.1000e+01 4.6600e+02 9.9700e+02 7.9900e+02 5.5000e+02\n",
      " 4.4900e+02 2.9000e+01 4.3800e+02 4.2900e+02 5.4900e+02 3.8400e+02\n",
      " 5.6800e+02 5.7400e+02 5.5600e+02 1.2200e+03 5.4700e+02 4.2100e+02\n",
      " 8.1100e+02 8.2700e+02 5.4800e+02 4.7900e+02 2.6000e+01 5.5500e+02\n",
      " 7.8600e+02 7.7200e+02 6.1900e+02 9.8600e+02 4.2600e+02 5.2900e+02\n",
      " 5.7300e+02 7.1400e+02 4.3300e+02 6.7200e+02 5.8100e+02 7.4600e+02\n",
      " 9.2500e+02 5.2200e+02 4.2300e+02 6.4900e+02 8.2200e+02 6.1200e+02\n",
      " 7.3800e+02 4.6000e+02 6.7400e+02 5.3000e+02 6.2300e+02 4.7200e+02\n",
      " 1.0410e+03 8.1600e+02 7.2000e+02 5.0000e+02 6.1600e+02 4.8700e+02\n",
      " 5.7600e+02 5.9200e+02 5.5100e+02 5.6500e+02 9.8700e+02 4.9000e+02\n",
      " 5.7700e+02 1.0550e+03 6.0500e+02 5.8000e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 412.  162.  245.  176.   75.  119.  248.  158.  388.  127.  100.   88.\n",
      "  193.  112.  117.  105.  183.   68.  200.   30.  155.  131.  360.  120.\n",
      "  163.  146.  198.  101.  147.   84.  316.   77.  116.   97.  106.  192.\n",
      "  130.   55.  244.  314.  212.   76.  150.  270.  124.   92.   91.   60.\n",
      "  170.  187.  201.  171.  114.  102.   57.  241.  224.  104.  300.  122.\n",
      "  210.  167.  169.  331.  109.  748.   58.  240.  123.  404.  159.  140.\n",
      "  172.  113.  108.  446.   96.   85.  338.  237.  387.   98.   74.   99.\n",
      "   64.   72.  149.   79.  873.  368.  238.  132.  196.  234.  267.   90.\n",
      "  214.  243.  223.  152.  179.  134.   49.  194.   70.  311.  213.  136.\n",
      "  315.   93.  233.   54. 1035.  435.  175.  299.  151.  239.  208.  254.\n",
      "   81.  111.  126.  165.  411.  626.  148.  357.  160.   78.  335.  197.\n",
      "  199.  166.  301.  153.   35.  154.   67.  128.   82.  156.  107.  135.\n",
      "  139.   62.  647.  144.  133.   51.  138.  184.  174.  180.  257.  125.\n",
      "  246.   45.  220.  247.  188.  221.   83.  203.  293.  168.  157.  137.\n",
      "   73.  329.  400.  202.  250.  327.  161.   89.  230.  303.  173.   71.\n",
      "  365.  177.   95.   56.   42.   53.  206.  145.  312.   59.   87.  308.\n",
      "  121.  207.  309.  264.  129.  265.   38.  261.  118.  364.  282.   94.\n",
      "   46.  283.  205.  229.   50.  255.  103.  143.  228.   86.  268.  181.\n",
      "  292.  291.  489. 1112.  235.   80.  182.  216.   48.  225.  115.  269.\n",
      "   69.  273.  185.  189.  347.  457.  307.  665.  259.   63.  346.   65.\n",
      "  263.  217.  271.  289.  227.  204.  342.  219.  304.  279.  333.  231.\n",
      "  110.  288.  340.   66.  420.  249.   47.  542.  178.  164.  272.  668.\n",
      "  236.  142.  232.  597.  417.  540.  379.  367.  510.   44.  380.   61.\n",
      "  789.  378.  959.  371.  218.  226.  141.  260.  251.  337.  258.  366.\n",
      "  186. 1007.  795.  349.  252.  318.  286.  298.  415.  328.  195.  215.\n",
      "  256.  275.  501.  482.  351.  211.  310.  276.   39.  787.   40.  353.\n",
      "  359.  295.  358.  325.  763.  290.  305.  242.   32.  277.  474.  386.\n",
      "  209.  847.  222.  294.  355.  284.  402.  319.  385.   43.  266.  397.\n",
      " 1075.  700.  382.  419.  278.  253.   36.  621.  399.  341.  372.  262.\n",
      "  281.  469.  339.  434.  287.  752.  296.  889.  370.  323.  274.  375.\n",
      "  515.  606.  897.  418.  667.  322.  534.  320.  620.  343.  601.  191.\n",
      "  686.  393.  439.  332.   41.  306.  324.  445.  369.  676.  505.  190.\n",
      "  659.  377.  321.  401.  544.  643.  374.  280.   33.  442.  427.  381.\n",
      "  398.  313.  414.  899.  583.  608.  302.  391.  488.  591.  297.  363.\n",
      "  572.  443.  553.  458.  396.  468.  285.  465.  428.  688.  497.  459.\n",
      "   52.  546.  842.  352.  499.  413.   34.  354.  317.  452.  670.  390.\n",
      "  361.  348.  498.  403.  586.  326.  394.  624.  344.  829.  630.  350.\n",
      "  521.  336.   37.  463.  831.  541.  405.  736.  436.  416.  866.  389.\n",
      "  464. 1183.  745.  610.  330.  538.  794.  543.  410.  927.  707.  646.\n",
      "  376.  575.   nan  945.  444.  638.  928.  593.  362. 1552.  425.  392.\n",
      "  448.  409.  718.  471.  345.  461.  814.  679.  589.  431.  440.  450.\n",
      "  395.  696.  483.  729.  552.  383.  496.  462.  473.  567.  537.  493.\n",
      "  356.  424.  373.  502.  637. 1059.  764.  408.  533.  334.  485.  681.\n",
      "  406.  518.  880.  467. 1349.  678. 1216.  657.  629.  531.  453.  451.\n",
      "  566. 1152.  494.  512.  622.  615.  844.  407.  526.  654.  625.  704.\n",
      "  486.  478.  430.  683.  734.  705.  960.  476.  422.  792.  492.  456.\n",
      "   31.  466.  997.  799.  550.  449.   29.  438.  429.  549.  384.  568.\n",
      "  574.  556. 1220.  547.  421.  811.  827.  548.  479.   26.  555.  786.\n",
      "  772.  619.  986.  426.  529.  573.  714.  433.  672.  581.  746.  925.\n",
      "  522.  423.  649.  822.  612.  738.  460.  674.  530.  623.  472. 1041.\n",
      "  816.  720.  500.  616.  487.  576.  592.  551.  565.  987.  490.  577.\n",
      " 1055.  605.  580.]\n",
      "-----------------------------------------\n",
      "CT1_TG triglyceride@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.4500e+02 4.0600e+02 8.2000e+01 1.8500e+02 5.8000e+01\n",
      " 1.6200e+02 4.1000e+01 1.7700e+02 1.4900e+02 1.3200e+02 9.8000e+01\n",
      " 6.7000e+01 1.7400e+02 1.3000e+02 1.1700e+02 1.7600e+02 3.3000e+01\n",
      " 1.5300e+02 1.7800e+02 1.6600e+02 2.6000e+02 6.2000e+01 3.1900e+02\n",
      " 1.8100e+02 1.2100e+02 1.5400e+02 8.5000e+01 8.7000e+01 8.9000e+01\n",
      " 1.3100e+02 9.0000e+01 4.8000e+01 1.0100e+02 3.9000e+01 1.2700e+02\n",
      " 1.4800e+02 7.1000e+01 2.1800e+02 7.6000e+01 1.2600e+02 6.9000e+01\n",
      " 2.8000e+01 1.2000e+02 3.9900e+02 1.0200e+02 1.4100e+02 6.1000e+01\n",
      " 1.9800e+02 8.3000e+01 8.6000e+01 1.8700e+02 1.3400e+02 1.2800e+02\n",
      " 1.1200e+02 2.1400e+02 1.1900e+02 6.8000e+01 6.3000e+01 1.4300e+02\n",
      " 9.4000e+01 1.1600e+02 1.7200e+02 1.0400e+02 5.7000e+01 9.5000e+01\n",
      " 4.2100e+02 1.6100e+02 7.9000e+01 9.1000e+01 1.2900e+02 1.3500e+02\n",
      " 1.5000e+02 1.0000e+02 4.3500e+02 6.4000e+01 2.6900e+02 6.6000e+01\n",
      " 7.0000e+01 1.8400e+02 2.0500e+02 9.6000e+01 1.3800e+02 5.0000e+01\n",
      " 1.0700e+02 1.1000e+02 8.8000e+01 1.4700e+02 1.0600e+02 5.2000e+01\n",
      " 4.5000e+01 7.4000e+01 1.5800e+02 5.1000e+01 1.0800e+02 2.9500e+02\n",
      " 8.1000e+01 1.8000e+02 2.5200e+02 1.5200e+02 7.5000e+01 4.3300e+02\n",
      " 6.5000e+01 4.3000e+01 5.3000e+01 1.3700e+02 1.0500e+02 6.0000e+01\n",
      " 5.9000e+01 1.2500e+02 5.4000e+01 4.6000e+01 1.5100e+02 2.0100e+02\n",
      " 2.0300e+02 2.1500e+02 3.0000e+01 1.3300e+02 1.1400e+02 1.4600e+02\n",
      " 2.2400e+02 1.1100e+02 1.8800e+02 2.3200e+02 3.8000e+02 1.1300e+02\n",
      " 1.4400e+02 2.7400e+02 2.4900e+02 2.6100e+02 1.2400e+02 9.9000e+01\n",
      " 7.2000e+01 2.4300e+02 7.7000e+01 1.5900e+02 3.5000e+02 1.6800e+02\n",
      " 3.6200e+02 2.7800e+02 1.5600e+02 1.2200e+02 9.7000e+01 1.9400e+02\n",
      " 2.5300e+02 7.8000e+01 2.7000e+01 8.0000e+01 1.3600e+02 4.9000e+01\n",
      " 9.3000e+01 1.9500e+02 4.7000e+01 1.8300e+02 3.7600e+02 9.2000e+01\n",
      " 1.6000e+02 8.4000e+01 3.1500e+02 2.5700e+02 4.2000e+02 3.0100e+02\n",
      " 3.6500e+02 7.3000e+01 1.9300e+02 3.2500e+02 1.7900e+02 2.0000e+02\n",
      " 1.8600e+02 1.5700e+02 2.3900e+02 2.0700e+02 5.6000e+01 1.7000e+02\n",
      " 2.3600e+02 1.9900e+02 3.1000e+01 5.2300e+02 2.0900e+02 1.6700e+02\n",
      " 2.0600e+02 4.2000e+01 1.8200e+02 2.0200e+02 1.5500e+02 1.2300e+02\n",
      " 1.9600e+02 1.7300e+02 2.3000e+02 2.8600e+02 2.4500e+02 1.9000e+02\n",
      " 1.3900e+02 2.4600e+02 1.9100e+02 2.5000e+02 5.5000e+01 1.1500e+02\n",
      " 1.0900e+02 7.1600e+02 3.1700e+02 3.5000e+01 2.3700e+02 1.1800e+02\n",
      " 1.6400e+02 5.3400e+02 2.2300e+02 3.1300e+02 4.4000e+01 3.3700e+02\n",
      " 5.2200e+02 2.5100e+02 1.4200e+02 2.1600e+02 2.2600e+02 2.2200e+02\n",
      " 1.9700e+02 4.0000e+01 4.6700e+02 1.4000e+02 3.0300e+02 3.1600e+02\n",
      " 3.4800e+02 2.5400e+02 2.1900e+02 3.8000e+01 2.0400e+02 2.2700e+02\n",
      " 2.3100e+02 2.4200e+02 2.6700e+02 3.0600e+02 2.2000e+02 2.6400e+02\n",
      " 2.6600e+02 3.6000e+01 2.5500e+02 2.0800e+02 2.7300e+02 1.6300e+02\n",
      " 2.3300e+02 1.8900e+02 2.9000e+01 2.4100e+02 2.4400e+02 2.1100e+02\n",
      " 2.7100e+02 5.1200e+02 2.4800e+02 1.6900e+02 3.2700e+02 4.7400e+02\n",
      " 1.0300e+02 4.1900e+02 2.3500e+02 4.1200e+02 2.2500e+02 2.4000e+02\n",
      " 3.4000e+02 2.7500e+02 2.9400e+02 3.4600e+02 1.7100e+02 3.4700e+02\n",
      " 2.2800e+02 3.2000e+01 2.8300e+02 3.7000e+01 6.2600e+02 2.1000e+02\n",
      " 3.0500e+02 1.9200e+02 2.5800e+02 2.8400e+02 2.3400e+02 4.0500e+02\n",
      " 2.4700e+02 3.9200e+02 2.9300e+02 4.5000e+02 4.0300e+02 3.2300e+02\n",
      " 4.0000e+02 4.9600e+02 4.7600e+02 3.4100e+02 2.7700e+02 3.1000e+02\n",
      " 1.0390e+03 9.9999e+04 2.9600e+02 5.5500e+02 2.8000e+02 3.8800e+02\n",
      " 3.3500e+02 2.3800e+02 3.3200e+02 2.9200e+02 4.1800e+02 3.2600e+02\n",
      " 2.6800e+02 4.1300e+02 2.5600e+02 3.3400e+02 2.6200e+02 3.5500e+02\n",
      " 1.0220e+03 2.1300e+02 3.9000e+02 1.6500e+02 1.7500e+02 5.1400e+02\n",
      " 2.8500e+02 3.4000e+01 4.7700e+02 4.4000e+02 2.7200e+02 2.7000e+02\n",
      " 3.6000e+02 5.9500e+02 2.1200e+02 4.0800e+02 7.4200e+02 2.8900e+02\n",
      " 2.2900e+02 2.9100e+02 2.1700e+02 3.8400e+02 4.7800e+02 3.5400e+02\n",
      " 3.1800e+02 3.4400e+02 6.6200e+02 3.4200e+02 5.0900e+02 3.5800e+02\n",
      " 1.4490e+03 3.4300e+02 3.8100e+02 6.7000e+02 4.4400e+02 5.5100e+02\n",
      " 2.9900e+02 5.0300e+02 3.2100e+02 3.0700e+02 2.8800e+02 2.7600e+02\n",
      " 3.0800e+02 4.9800e+02 2.9800e+02 3.7900e+02 3.5200e+02 3.6400e+02\n",
      " 2.8100e+02 3.1100e+02 3.9400e+02 3.7000e+02 4.6200e+02 3.3800e+02\n",
      " 4.5500e+02 6.0900e+02 3.6700e+02 2.6000e+01 2.6500e+02 4.3100e+02\n",
      " 3.2900e+02 3.2800e+02 3.6100e+02 3.0000e+02 4.2700e+02 3.2200e+02\n",
      " 2.8200e+02 3.5900e+02 3.3300e+02 3.9800e+02 4.9500e+02 3.8600e+02\n",
      " 4.4600e+02 3.9100e+02 3.3100e+02 5.5300e+02 4.1700e+02 4.4300e+02\n",
      " 3.0400e+02 6.3900e+02 3.0900e+02 5.2600e+02 8.9300e+02 5.5900e+02\n",
      " 2.2100e+02 5.4400e+02 4.6300e+02 5.0400e+02 6.3100e+02 5.0700e+02\n",
      " 1.5410e+03 6.3800e+02 4.3800e+02 2.9700e+02 6.4400e+02 2.8700e+02\n",
      " 2.7900e+02 3.2000e+02 7.5200e+02 3.0200e+02 3.8900e+02 3.2400e+02\n",
      " 3.5700e+02 1.0130e+03 5.9600e+02 4.6800e+02 4.8100e+02 5.7600e+02\n",
      " 3.1200e+02 3.1400e+02 1.0920e+03 8.4300e+02 4.0900e+02 3.7100e+02\n",
      " 3.6300e+02 6.8400e+02 5.8900e+02 4.1600e+02 3.8700e+02 4.8000e+02\n",
      " 5.2000e+02 2.6300e+02 3.5100e+02 3.7300e+02 3.8300e+02 4.5400e+02\n",
      " 3.5600e+02 3.3600e+02 2.9000e+02 6.7200e+02 5.0200e+02 3.3000e+02\n",
      " 5.3800e+02 3.9500e+02 6.1300e+02 5.9900e+02 4.6500e+02 4.0200e+02\n",
      " 4.6400e+02 3.4900e+02 3.9700e+02 4.7100e+02 4.1000e+02 4.9000e+02\n",
      " 3.6900e+02 3.9300e+02 1.0160e+03 4.9400e+02 4.6000e+02 3.7400e+02\n",
      " 3.6600e+02 4.4500e+02 7.2400e+02 4.0400e+02 8.8800e+02 7.0500e+02\n",
      " 7.2200e+02 6.1000e+02 4.4700e+02 4.1100e+02 6.4700e+02 8.3000e+02\n",
      " 4.8900e+02 4.0700e+02 5.1700e+02 6.7100e+02 5.8800e+02 3.7500e+02\n",
      " 3.3900e+02 1.0930e+03 5.3600e+02 4.2800e+02 3.6800e+02 4.4800e+02\n",
      " 5.6000e+02 1.0460e+03 4.8400e+02 6.1600e+02 6.6600e+02 8.1000e+02\n",
      " 3.5300e+02 5.8400e+02 6.3400e+02 2.5900e+02 4.7500e+02 6.7700e+02\n",
      " 4.6900e+02 9.5500e+02 5.1800e+02 4.8700e+02 4.6600e+02 5.5000e+02\n",
      " 4.8500e+02 3.7800e+02 4.7200e+02 5.3300e+02 5.3500e+02 4.5300e+02\n",
      " 1.7200e+03 3.4500e+02 7.3200e+02 7.7700e+02 6.9500e+02 6.1700e+02\n",
      " 4.8800e+02 4.7900e+02 7.8100e+02 4.9200e+02 7.2000e+02 4.3200e+02\n",
      " 4.2900e+02 4.3700e+02 4.1400e+02 4.9100e+02 5.1100e+02 7.2600e+02\n",
      " 4.3400e+02 5.1500e+02 6.6100e+02 6.9700e+02 6.4500e+02 8.7000e+02\n",
      " 9.5200e+02 5.8200e+02 4.5700e+02 5.5600e+02 6.6900e+02 4.2400e+02\n",
      " 3.7200e+02 3.8500e+02 5.8100e+02 4.2600e+02 4.3000e+02 6.2800e+02\n",
      " 5.8500e+02 6.9100e+02 1.0570e+03 9.3000e+02 7.3100e+02 4.2300e+02\n",
      " 4.4200e+02 6.3500e+02 5.9300e+02 4.2200e+02 3.9600e+02 5.3700e+02\n",
      " 6.3700e+02 1.4940e+03 3.8200e+02 9.1400e+02 6.0000e+02 5.2900e+02\n",
      " 5.2700e+02 5.4300e+02 5.3900e+02 6.9600e+02 6.5400e+02 6.0700e+02\n",
      " 1.4610e+03 1.0900e+03 6.7500e+02 5.5200e+02 5.5700e+02 5.6800e+02\n",
      " 7.2300e+02 5.6200e+02 4.5100e+02 5.1600e+02 4.6100e+02 5.7300e+02\n",
      " 5.7000e+02 7.7900e+02 6.4100e+02 5.5400e+02 1.0010e+03 7.8500e+02\n",
      " 7.9800e+02 9.0200e+02 8.7400e+02 4.9700e+02 4.2500e+02 5.1000e+02\n",
      " 4.5900e+02 5.7700e+02 6.2100e+02 7.0300e+02 6.0600e+02 5.4800e+02\n",
      " 8.3100e+02 4.7300e+02 6.5900e+02 6.4900e+02 1.1070e+03 5.7200e+02\n",
      " 9.4500e+02 1.3650e+03 4.3600e+02 4.8600e+02 4.1500e+02 7.7600e+02\n",
      " 4.3900e+02 5.7400e+02 7.5600e+02 4.8300e+02 6.0100e+02 6.9000e+02\n",
      " 4.5800e+02 5.9200e+02 4.7000e+02 5.3200e+02 6.8500e+02 5.1300e+02\n",
      " 1.2630e+03 5.6400e+02 4.4100e+02 5.9000e+02 5.4200e+02 6.4600e+02\n",
      " 5.4000e+02 4.5600e+02 7.2800e+02 5.9100e+02 1.0960e+03 6.1200e+02\n",
      " 7.1100e+02 5.4900e+02 6.2000e+02 9.8300e+02 6.3600e+02 1.1640e+03\n",
      " 1.2440e+03 3.7700e+02 9.1800e+02 7.7000e+02 5.6500e+02 6.9900e+02\n",
      " 5.8000e+02 8.2800e+02 7.3800e+02 8.8600e+02 5.5800e+02 5.0500e+02\n",
      " 1.0050e+03 7.1400e+02 1.3920e+03 1.9300e+03 5.0000e+02 7.8200e+02\n",
      " 5.3000e+02 6.0500e+02 6.2700e+02 7.0800e+02 1.8600e+03 6.4800e+02\n",
      " 7.8900e+02 9.2600e+02 1.0830e+03 1.3300e+03 6.1900e+02 4.0100e+02\n",
      " 4.5200e+02 8.7200e+02 8.1900e+02 9.1900e+02 1.4910e+03 7.7100e+02\n",
      " 9.9200e+02 9.2400e+02 7.6200e+02 6.6800e+02 7.8800e+02 9.8400e+02\n",
      " 6.2500e+02 7.6900e+02 8.7700e+02 9.6000e+02 7.0000e+02 9.2300e+02\n",
      " 7.2900e+02 5.7500e+02 7.3300e+02 6.7300e+02 8.5400e+02 9.0600e+02\n",
      " 1.5090e+03 8.6800e+02 1.0680e+03 8.9900e+02 1.5180e+03 8.0400e+02\n",
      " 1.9620e+03 5.8600e+02 7.9600e+02 1.5190e+03 8.8000e+02 1.0740e+03\n",
      " 5.2500e+02 8.5100e+02 6.2900e+02 5.9800e+02 6.8700e+02 8.1500e+02\n",
      " 1.5610e+03 1.3910e+03 5.2100e+02 8.5900e+02 7.0600e+02 5.3100e+02\n",
      " 7.3400e+02 7.4400e+02 1.1370e+03 1.0020e+03 1.6680e+03 6.0300e+02\n",
      " 7.5500e+02 8.4000e+02 6.8600e+02 8.0200e+02 6.8800e+02 8.7900e+02\n",
      " 6.8100e+02 5.6700e+02 5.0800e+02 6.4200e+02 5.0100e+02 5.1900e+02\n",
      " 8.5600e+02 7.9400e+02 5.0600e+02 7.1700e+02 1.3060e+03 5.4100e+02\n",
      " 1.3900e+03 1.2960e+03 7.6400e+02 1.0110e+03 7.1900e+02 5.6300e+02\n",
      " 1.2270e+03 1.0610e+03 5.6100e+02 9.8500e+02 7.9500e+02 4.8200e+02\n",
      " 1.0320e+03 1.1060e+03 8.6400e+02 7.9900e+02 5.4700e+02 9.4900e+02\n",
      " 8.5000e+02 7.0400e+02 5.4500e+02 1.1130e+03 6.3000e+02 6.1800e+02\n",
      " 9.4000e+02 8.8300e+02 6.8000e+02 1.2100e+03 9.4400e+02 8.8200e+02\n",
      " 1.0480e+03 9.6800e+02 7.5700e+02 4.9900e+02 1.3210e+03 5.7900e+02\n",
      " 6.3300e+02 1.0690e+03 9.7100e+02 7.2100e+02 6.5200e+02 5.8700e+02\n",
      " 1.3280e+03 7.7300e+02 4.4900e+02 1.2140e+03 1.2740e+03 6.1100e+02\n",
      " 6.9300e+02 7.0200e+02 5.6600e+02 7.7400e+02 1.0190e+03 6.2300e+02\n",
      " 1.0980e+03 5.6900e+02 9.8900e+02 1.2340e+03 5.7100e+02 1.6670e+03\n",
      " 9.0300e+02 9.9500e+02 1.1190e+03 1.0430e+03 8.3700e+02 1.6220e+03\n",
      " 1.9190e+03 1.1540e+03 7.4700e+02 8.3900e+02 7.1300e+02 2.0000e+03\n",
      " 6.5800e+02 8.9700e+02 1.0790e+03 8.4100e+02 7.2500e+02 8.8100e+02\n",
      " 9.1000e+02 7.9100e+02 5.9400e+02 9.8700e+02 1.3480e+03 9.9000e+02\n",
      " 1.0870e+03 8.2400e+02 9.9900e+02 6.6500e+02 1.2700e+03 8.6100e+02\n",
      " 6.4300e+02 1.2310e+03 7.6300e+02 7.7200e+02 6.2200e+02 1.1590e+03\n",
      " 9.2000e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  145.  406.   82.  185.   58.  162.   41.  177.  149.  132.   98.\n",
      "   67.  174.  130.  117.  176.   33.  153.  178.  166.  260.   62.  319.\n",
      "  181.  121.  154.   85.   87.   89.  131.   90.   48.  101.   39.  127.\n",
      "  148.   71.  218.   76.  126.   69.   28.  120.  399.  102.  141.   61.\n",
      "  198.   83.   86.  187.  134.  128.  112.  214.  119.   68.   63.  143.\n",
      "   94.  116.  172.  104.   57.   95.  421.  161.   79.   91.  129.  135.\n",
      "  150.  100.  435.   64.  269.   66.   70.  184.  205.   96.  138.   50.\n",
      "  107.  110.   88.  147.  106.   52.   45.   74.  158.   51.  108.  295.\n",
      "   81.  180.  252.  152.   75.  433.   65.   43.   53.  137.  105.   60.\n",
      "   59.  125.   54.   46.  151.  201.  203.  215.   30.  133.  114.  146.\n",
      "  224.  111.  188.  232.  380.  113.  144.  274.  249.  261.  124.   99.\n",
      "   72.  243.   77.  159.  350.  168.  362.  278.  156.  122.   97.  194.\n",
      "  253.   78.   27.   80.  136.   49.   93.  195.   47.  183.  376.   92.\n",
      "  160.   84.  315.  257.  420.  301.  365.   73.  193.  325.  179.  200.\n",
      "  186.  157.  239.  207.   56.  170.  236.  199.   31.  523.  209.  167.\n",
      "  206.   42.  182.  202.  155.  123.  196.  173.  230.  286.  245.  190.\n",
      "  139.  246.  191.  250.   55.  115.  109.  716.  317.   35.  237.  118.\n",
      "  164.  534.  223.  313.   44.  337.  522.  251.  142.  216.  226.  222.\n",
      "  197.   40.  467.  140.  303.  316.  348.  254.  219.   38.  204.  227.\n",
      "  231.  242.  267.  306.  220.  264.  266.   36.  255.  208.  273.  163.\n",
      "  233.  189.   29.  241.  244.  211.  271.  512.  248.  169.  327.  474.\n",
      "  103.  419.  235.  412.  225.  240.  340.  275.  294.  346.  171.  347.\n",
      "  228.   32.  283.   37.  626.  210.  305.  192.  258.  284.  234.  405.\n",
      "  247.  392.  293.  450.  403.  323.  400.  496.  476.  341.  277.  310.\n",
      " 1039.  296.  555.  280.  388.  335.  238.  332.  292.  418.  326.  268.\n",
      "  413.  256.  334.  262.  355. 1022.  213.  390.  165.  175.  514.  285.\n",
      "   34.  477.  440.  272.  270.  360.  595.  212.  408.  742.  289.  229.\n",
      "  291.  217.  384.  478.  354.  318.  344.  662.  342.  509.  358. 1449.\n",
      "  343.  381.  670.  444.  551.  299.  503.  321.  307.  288.  276.  308.\n",
      "  498.  298.  379.  352.  364.  281.  311.  394.  370.  462.  338.  455.\n",
      "  609.  367.   26.  265.  431.  329.  328.  361.  300.  427.  322.  282.\n",
      "  359.  333.  398.  495.  386.  446.  391.  331.  553.  417.  443.  304.\n",
      "  639.  309.  526.  893.  559.  221.  544.  463.  504.  631.  507. 1541.\n",
      "  638.  438.  297.  644.  287.  279.  320.  752.  302.  389.  324.  357.\n",
      " 1013.  596.  468.  481.  576.  312.  314. 1092.  843.  409.  371.  363.\n",
      "  684.  589.  416.  387.  480.  520.  263.  351.  373.  383.  454.  356.\n",
      "  336.  290.  672.  502.  330.  538.  395.  613.  599.  465.  402.  464.\n",
      "  349.  397.  471.  410.  490.  369.  393. 1016.  494.  460.  374.  366.\n",
      "  445.  724.  404.  888.  705.  722.  610.  447.  411.  647.  830.  489.\n",
      "  407.  517.  671.  588.  375.  339. 1093.  536.  428.  368.  448.  560.\n",
      " 1046.  484.  616.  666.  810.  353.  584.  634.  259.  475.  677.  469.\n",
      "  955.  518.  487.  466.  550.  485.  378.  472.  533.  535.  453. 1720.\n",
      "  345.  732.  777.  695.  617.  488.  479.  781.  492.  720.  432.  429.\n",
      "  437.  414.  491.  511.  726.  434.  515.  661.  697.  645.  870.  952.\n",
      "  582.  457.  556.  669.  424.  372.  385.  581.  426.  430.  628.  585.\n",
      "  691. 1057.  930.  731.  423.  442.  635.  593.  422.  396.  537.  637.\n",
      " 1494.  382.  914.  600.  529.  527.  543.  539.  696.  654.  607. 1461.\n",
      " 1090.  675.  552.  557.  568.  723.  562.  451.  516.  461.  573.  570.\n",
      "  779.  641.  554. 1001.  785.  798.  902.  874.  497.  425.  510.  459.\n",
      "  577.  621.  703.  606.  548.  831.  473.  659.  649. 1107.  572.  945.\n",
      " 1365.  436.  486.  415.  776.  439.  574.  756.  483.  601.  690.  458.\n",
      "  592.  470.  532.  685.  513. 1263.  564.  441.  590.  542.  646.  540.\n",
      "  456.  728.  591. 1096.  612.  711.  549.  620.  983.  636. 1164. 1244.\n",
      "  377.  918.  770.  565.  699.  580.  828.  738.  886.  558.  505. 1005.\n",
      "  714. 1392. 1930.  500.  782.  530.  605.  627.  708. 1860.  648.  789.\n",
      "  926. 1083. 1330.  619.  401.  452.  872.  819.  919. 1491.  771.  992.\n",
      "  924.  762.  668.  788.  984.  625.  769.  877.  960.  700.  923.  729.\n",
      "  575.  733.  673.  854.  906. 1509.  868. 1068.  899. 1518.  804. 1962.\n",
      "  586.  796. 1519.  880. 1074.  525.  851.  629.  598.  687.  815. 1561.\n",
      " 1391.  521.  859.  706.  531.  734.  744. 1137. 1002. 1668.  603.  755.\n",
      "  840.  686.  802.  688.  879.  681.  567.  508.  642.  501.  519.  856.\n",
      "  794.  506.  717. 1306.  541. 1390. 1296.  764. 1011.  719.  563. 1227.\n",
      " 1061.  561.  985.  795.  482. 1032. 1106.  864.  799.  547.  949.  850.\n",
      "  704.  545. 1113.  630.  618.  940.  883.  680. 1210.  944.  882. 1048.\n",
      "  968.  757.  499. 1321.  579.  633. 1069.  971.  721.  652.  587. 1328.\n",
      "  773.  449. 1214. 1274.  611.  693.  702.  566.  774. 1019.  623. 1098.\n",
      "  569.  989. 1234.  571. 1667.  903.  995. 1119. 1043.  837. 1622. 1919.\n",
      " 1154.  747.  839.  713. 2000.  658.  897. 1079.  841.  725.  881.  910.\n",
      "  791.  594.  987. 1348.  990. 1087.  824.  999.  665. 1270.  861.  643.\n",
      " 1231.  763.  772.  622. 1159.  920.]\n",
      "-----------------------------------------\n",
      "AS1_TG_TR triglyceride@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.2700e+02 7.9000e+01 5.7000e+01 1.5400e+02 1.2900e+02\n",
      " 3.6400e+02 1.5700e+02 8.6000e+01 6.1000e+01 1.5200e+02 1.4700e+02\n",
      " 2.2900e+02 1.9200e+02 8.0000e+01 1.0300e+02 2.5800e+02 1.1800e+02\n",
      " 6.7000e+01 7.1000e+01 1.5900e+02 8.7000e+01 1.5100e+02 1.2800e+02\n",
      " 3.1300e+02 1.4500e+02 2.0500e+02 4.2300e+02 1.3900e+02 8.3000e+01\n",
      " 2.3700e+02 7.5000e+01 2.3900e+02 8.4000e+01 1.6300e+02 9.5000e+01\n",
      " 1.0100e+02 2.4900e+02 5.0400e+02 4.4000e+02 7.2000e+01 2.5100e+02\n",
      " 9.8000e+01 2.7600e+02 1.1700e+02 1.3300e+02 1.3100e+02 1.6600e+02\n",
      " 2.1000e+02 1.4800e+02 2.2700e+02 1.3490e+03 8.5000e+01 1.8200e+02\n",
      " 2.8200e+02 1.1200e+02 2.1700e+02 7.0000e+01 2.1900e+02 1.8500e+02\n",
      " 1.9400e+02 1.4600e+02 2.3200e+02 1.5300e+02 8.2000e+01 6.2000e+01\n",
      " 1.3600e+02 1.2100e+02 6.2400e+02 3.4700e+02 3.8900e+02 1.3400e+02\n",
      " 3.0400e+02 5.9000e+01 9.2000e+01 3.4200e+02 2.7400e+02 2.0100e+02\n",
      " 2.0200e+02 6.5000e+01 1.6500e+02 5.4000e+01 1.7300e+02 3.9200e+02\n",
      " 4.6000e+01 1.1900e+02 4.4000e+01 1.5500e+02 1.0800e+02 1.3500e+02\n",
      " 1.7100e+02 1.0500e+02 8.1000e+01 1.0400e+02 2.4100e+02 1.7400e+02\n",
      " 1.8300e+02 2.6800e+02 7.8000e+01 9.6000e+01 7.6000e+01 1.3700e+02\n",
      " 9.4000e+01 2.4400e+02 1.7000e+02 1.8900e+02 2.1100e+02 1.4000e+02\n",
      " 1.4900e+02 1.8400e+02 1.0200e+02 3.7000e+02 1.0700e+02 3.2200e+02\n",
      " 2.8400e+02 6.8000e+01 1.9000e+02 5.8000e+01 1.5600e+02 8.6400e+02\n",
      " 1.8100e+02 1.6100e+02 2.4800e+02 1.6400e+02 1.2200e+02 9.7000e+01\n",
      " 1.9500e+02 3.0000e+02 1.4100e+02 9.9000e+01 8.9000e+01 1.0600e+02\n",
      " 2.5700e+02 1.0900e+02 8.8000e+01 1.2400e+02 1.3800e+02 1.7800e+02\n",
      " 3.0100e+02 2.0900e+02 1.9900e+02 4.7000e+01 1.7200e+02 1.1100e+02\n",
      " 1.9300e+02 1.7900e+02 1.1600e+02 1.3200e+02 9.1000e+01 1.3000e+02\n",
      " 1.6800e+02 2.2600e+02 2.5600e+02 2.5300e+02 6.6000e+01 2.0700e+02\n",
      " 1.4400e+02 1.5800e+02 3.1900e+02 2.7700e+02 1.1400e+02 2.9500e+02\n",
      " 4.7600e+02 4.4300e+02 1.9700e+02 3.0600e+02 1.7700e+02 1.2500e+02\n",
      " 2.1800e+02 1.5280e+03 4.6000e+02 1.7500e+02 4.8000e+01 2.8000e+02\n",
      " 1.6200e+02 1.1300e+02 2.5000e+02 5.1300e+02 2.4600e+02 1.1000e+02\n",
      " 4.5100e+02 2.4300e+02 3.5700e+02 7.4000e+01 2.1500e+02 2.1600e+02\n",
      " 2.0300e+02 6.0000e+01 1.7600e+02 1.2000e+02 2.0400e+02 1.1500e+02\n",
      " 1.0000e+02 3.2700e+02 1.2600e+02 9.0000e+01 6.9000e+01 7.7000e+01\n",
      " 1.6900e+02 3.1100e+02 3.7300e+02 2.2000e+02 2.4700e+02 5.3000e+01\n",
      " 6.4600e+02 2.0000e+02 2.9700e+02 1.8600e+02 3.1500e+02 4.0000e+01\n",
      " 5.1000e+01 2.3300e+02 2.4200e+02 3.1800e+02 2.6000e+02 4.6800e+02\n",
      " 2.5500e+02 2.6100e+02 2.5900e+02 2.4000e+02 1.8800e+02 2.2500e+02\n",
      " 3.1200e+02 1.8700e+02 2.9100e+02 2.8800e+02 2.3100e+02 3.3800e+02\n",
      " 3.2300e+02 1.9600e+02 2.7500e+02 4.1600e+02 2.1300e+02 2.2800e+02\n",
      " 5.6000e+01 1.3210e+03 5.5000e+01 1.9800e+02 3.0700e+02 7.3000e+01\n",
      " 2.2300e+02 3.6200e+02 2.0600e+02 2.3000e+02 2.2400e+02 2.4500e+02\n",
      " 4.0500e+02 6.3000e+01 2.6200e+02 1.6000e+02 2.7300e+02 3.0500e+02\n",
      " 6.7300e+02 4.8000e+02 1.5000e+02 1.9100e+02 6.6200e+02 1.2300e+02\n",
      " 2.6600e+02 4.0000e+02 9.3000e+01 5.7400e+02 1.6700e+02 2.3400e+02\n",
      " 2.9400e+02 3.2000e+02 1.4200e+02 3.4500e+02 3.5900e+02 2.9300e+02\n",
      " 1.8000e+02 1.4300e+02 3.8100e+02 3.1700e+02 4.0200e+02 3.0300e+02\n",
      " 2.7100e+02 3.2900e+02 2.8600e+02 4.3600e+02 2.3800e+02 3.7900e+02\n",
      " 2.6400e+02 4.7300e+02 2.9000e+02 2.3600e+02 3.6800e+02 3.8000e+02\n",
      " 3.1600e+02 4.5500e+02 2.3500e+02 7.2300e+02 6.4000e+01 4.3400e+02\n",
      " 3.9000e+02 2.8700e+02 2.7800e+02 5.2000e+01 3.7500e+02 1.0110e+03\n",
      " 3.6300e+02 2.2200e+02 3.0200e+02 5.9600e+02 5.8100e+02 3.8400e+02\n",
      " 3.9100e+02 4.3000e+02 3.5200e+02 2.6700e+02 7.8200e+02 2.6300e+02\n",
      " 4.9000e+01 2.1200e+02 2.0800e+02 2.2100e+02 3.0800e+02 2.5400e+02\n",
      " 2.6500e+02 2.5200e+02 3.9500e+02 5.2100e+02 3.7100e+02 5.4000e+02\n",
      " 2.8100e+02 5.3500e+02 3.3000e+02 5.1100e+02 5.3300e+02 3.7700e+02\n",
      " 4.0600e+02 4.7500e+02 4.7900e+02 3.5000e+02 3.7600e+02 4.6100e+02\n",
      " 6.6400e+02 4.1000e+02 4.8400e+02 9.9100e+02 3.3500e+02 5.4700e+02\n",
      " 5.4900e+02 4.1500e+02 6.2900e+02 3.4300e+02 5.6600e+02 2.9900e+02\n",
      " 3.4400e+02 3.5800e+02 4.8200e+02 3.6000e+01 8.5900e+02 6.0100e+02\n",
      " 2.8300e+02 3.6700e+02 5.3100e+02 3.4800e+02 4.2200e+02 2.8900e+02\n",
      " 4.2400e+02 3.2600e+02 3.5500e+02 5.9700e+02 4.4500e+02 4.5000e+01\n",
      " 3.9300e+02 4.2500e+02 5.3200e+02 3.4600e+02 5.5300e+02 9.9999e+04\n",
      " 4.0800e+02 3.5600e+02 2.7000e+02 3.3700e+02 4.9100e+02 8.4100e+02\n",
      " 5.5100e+02 2.1400e+02 3.9900e+02 3.3100e+02 3.3200e+02 4.6500e+02\n",
      " 4.8300e+02 6.1900e+02 3.3600e+02 2.8500e+02 2.6900e+02 4.0400e+02\n",
      " 4.3300e+02 7.7700e+02 3.4100e+02 3.2800e+02 3.9600e+02 2.7200e+02\n",
      " 3.7200e+02 4.1100e+02 6.7500e+02 3.5300e+02 8.8800e+02 5.2800e+02\n",
      " 3.5400e+02 7.4100e+02 9.4800e+02 4.0300e+02 5.9400e+02 4.3200e+02\n",
      " 4.7100e+02 4.5900e+02 5.3000e+02 4.1300e+02 5.0000e+01 6.3400e+02\n",
      " 1.3120e+03 7.5600e+02 3.0900e+02 1.1040e+03 5.7600e+02 6.1500e+02\n",
      " 4.8900e+02 3.8800e+02 3.6600e+02 4.4700e+02 3.2100e+02 4.0700e+02\n",
      " 7.3200e+02 3.8300e+02 4.2600e+02 3.2400e+02 4.2700e+02 1.0480e+03\n",
      " 2.9200e+02 6.9600e+02 4.2800e+02 3.3300e+02 3.9700e+02 3.6000e+02\n",
      " 4.1200e+02 4.8100e+02 3.2500e+02 3.4000e+02 4.0100e+02 1.4250e+03\n",
      " 5.5400e+02 3.1000e+02 5.7100e+02 4.6400e+02 3.3400e+02 4.4200e+02\n",
      " 6.3100e+02 3.5100e+02 4.3900e+02 6.4400e+02 5.6700e+02 3.3900e+02\n",
      " 3.8500e+02 4.6600e+02 4.7800e+02 5.5000e+02 5.7900e+02 4.8600e+02\n",
      " 6.9000e+02 7.7200e+02 7.5400e+02 5.6100e+02 5.8500e+02 4.9500e+02\n",
      " 1.1330e+03 2.9800e+02 5.2900e+02 2.9600e+02 5.0900e+02 3.7800e+02\n",
      " 4.4800e+02 3.6900e+02 4.7200e+02 7.3600e+02 3.1400e+02 7.3400e+02\n",
      " 1.0080e+03 6.4200e+02 5.0100e+02 5.7300e+02 6.8000e+02 5.9200e+02\n",
      " 4.6200e+02 4.9800e+02 3.2000e+01 7.7100e+02 5.3400e+02 5.0000e+02\n",
      " 9.2500e+02 3.8600e+02 4.5400e+02 8.8100e+02 4.8500e+02 4.5200e+02\n",
      " 6.4700e+02 1.5570e+03 3.6100e+02 4.5800e+02 4.1700e+02 5.6500e+02\n",
      " 4.1800e+02 7.0300e+02 1.1800e+03 8.8600e+02 5.7000e+02 4.2100e+02\n",
      " 7.2000e+02 4.5700e+02 6.5800e+02 4.6300e+02 7.5200e+02 5.6800e+02\n",
      " 4.5600e+02]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan  127.   79.   57.  154.  129.  364.  157.   86.   61.  152.  147.\n",
      "  229.  192.   80.  103.  258.  118.   67.   71.  159.   87.  151.  128.\n",
      "  313.  145.  205.  423.  139.   83.  237.   75.  239.   84.  163.   95.\n",
      "  101.  249.  504.  440.   72.  251.   98.  276.  117.  133.  131.  166.\n",
      "  210.  148.  227. 1349.   85.  182.  282.  112.  217.   70.  219.  185.\n",
      "  194.  146.  232.  153.   82.   62.  136.  121.  624.  347.  389.  134.\n",
      "  304.   59.   92.  342.  274.  201.  202.   65.  165.   54.  173.  392.\n",
      "   46.  119.   44.  155.  108.  135.  171.  105.   81.  104.  241.  174.\n",
      "  183.  268.   78.   96.   76.  137.   94.  244.  170.  189.  211.  140.\n",
      "  149.  184.  102.  370.  107.  322.  284.   68.  190.   58.  156.  864.\n",
      "  181.  161.  248.  164.  122.   97.  195.  300.  141.   99.   89.  106.\n",
      "  257.  109.   88.  124.  138.  178.  301.  209.  199.   47.  172.  111.\n",
      "  193.  179.  116.  132.   91.  130.  168.  226.  256.  253.   66.  207.\n",
      "  144.  158.  319.  277.  114.  295.  476.  443.  197.  306.  177.  125.\n",
      "  218. 1528.  460.  175.   48.  280.  162.  113.  250.  513.  246.  110.\n",
      "  451.  243.  357.   74.  215.  216.  203.   60.  176.  120.  204.  115.\n",
      "  100.  327.  126.   90.   69.   77.  169.  311.  373.  220.  247.   53.\n",
      "  646.  200.  297.  186.  315.   40.   51.  233.  242.  318.  260.  468.\n",
      "  255.  261.  259.  240.  188.  225.  312.  187.  291.  288.  231.  338.\n",
      "  323.  196.  275.  416.  213.  228.   56. 1321.   55.  198.  307.   73.\n",
      "  223.  362.  206.  230.  224.  245.  405.   63.  262.  160.  273.  305.\n",
      "  673.  480.  150.  191.  662.  123.  266.  400.   93.  574.  167.  234.\n",
      "  294.  320.  142.  345.  359.  293.  180.  143.  381.  317.  402.  303.\n",
      "  271.  329.  286.  436.  238.  379.  264.  473.  290.  236.  368.  380.\n",
      "  316.  455.  235.  723.   64.  434.  390.  287.  278.   52.  375. 1011.\n",
      "  363.  222.  302.  596.  581.  384.  391.  430.  352.  267.  782.  263.\n",
      "   49.  212.  208.  221.  308.  254.  265.  252.  395.  521.  371.  540.\n",
      "  281.  535.  330.  511.  533.  377.  406.  475.  479.  350.  376.  461.\n",
      "  664.  410.  484.  991.  335.  547.  549.  415.  629.  343.  566.  299.\n",
      "  344.  358.  482.   36.  859.  601.  283.  367.  531.  348.  422.  289.\n",
      "  424.  326.  355.  597.  445.   45.  393.  425.  532.  346.  553.  408.\n",
      "  356.  270.  337.  491.  841.  551.  214.  399.  331.  332.  465.  483.\n",
      "  619.  336.  285.  269.  404.  433.  777.  341.  328.  396.  272.  372.\n",
      "  411.  675.  353.  888.  528.  354.  741.  948.  403.  594.  432.  471.\n",
      "  459.  530.  413.   50.  634. 1312.  756.  309. 1104.  576.  615.  489.\n",
      "  388.  366.  447.  321.  407.  732.  383.  426.  324.  427. 1048.  292.\n",
      "  696.  428.  333.  397.  360.  412.  481.  325.  340.  401. 1425.  554.\n",
      "  310.  571.  464.  334.  442.  631.  351.  439.  644.  567.  339.  385.\n",
      "  466.  478.  550.  579.  486.  690.  772.  754.  561.  585.  495. 1133.\n",
      "  298.  529.  296.  509.  378.  448.  369.  472.  736.  314.  734. 1008.\n",
      "  642.  501.  573.  680.  592.  462.  498.   32.  771.  534.  500.  925.\n",
      "  386.  454.  881.  485.  452.  647. 1557.  361.  458.  417.  565.  418.\n",
      "  703. 1180.  886.  570.  421.  720.  457.  658.  463.  752.  568.  456.]\n",
      "-----------------------------------------\n",
      "NC1_ALBUMIN albumin@(x!=66666)&(x!=77777)&(x!=99999)@x [4.2000e+00 4.4000e+00 4.6000e+00 4.5000e+00 4.1000e+00 4.9000e+00\n",
      " 4.3000e+00 4.7000e+00 4.8000e+00 5.1000e+00 4.0000e+00 5.0000e+00\n",
      " 3.9000e+00 2.9000e+00 3.8000e+00 3.7000e+00 5.2000e+00 3.4000e+00\n",
      " 3.6000e+00 3.3000e+00 3.5000e+00 5.4000e+00 3.1000e+00 3.2000e+00\n",
      " 5.3000e+00 2.7000e+00        nan 2.4000e+00 5.5000e+00 3.0000e+00\n",
      " 2.8000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [4.2 4.4 4.6 4.5 4.1 4.9 4.3 4.7 4.8 5.1 4.  5.  3.9 2.9 3.8 3.7 5.2 3.4\n",
      " 3.6 3.3 3.5 5.4 3.1 3.2 5.3 2.7 nan 2.4 5.5 3.  2.8]\n",
      "-----------------------------------------\n",
      "CT1_ALBUMIN albumin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.4000e+00 5.2000e+00 5.0000e+00 4.8000e+00 4.6000e+00\n",
      " 4.2000e+00 4.5000e+00 3.9000e+00 4.7000e+00 4.9000e+00 4.3000e+00\n",
      " 5.1000e+00 4.0000e+00 4.1000e+00 5.4000e+00 5.3000e+00 3.8000e+00\n",
      " 3.1000e+00 3.5000e+00 3.7000e+00 5.5000e+00 5.7000e+00 3.6000e+00\n",
      " 5.6000e+00 5.8000e+00 3.2000e+00 3.4000e+00 9.9999e+04 3.0000e+00\n",
      " 3.3000e+00 2.9000e+00 2.7000e+00 2.5000e+00 5.9000e+00 2.8000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 4.4 5.2 5.  4.8 4.6 4.2 4.5 3.9 4.7 4.9 4.3 5.1 4.  4.1 5.4 5.3 3.8\n",
      " 3.1 3.5 3.7 5.5 5.7 3.6 5.6 5.8 3.2 3.4 3.  3.3 2.9 2.7 2.5 5.9 2.8]\n",
      "-----------------------------------------\n",
      "AS1_ALBUMIN_TR albumin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 4.0000e+00 4.6000e+00 4.2000e+00 4.8000e+00 3.9000e+00\n",
      " 4.1000e+00 4.3000e+00 4.4000e+00 4.7000e+00 4.9000e+00 3.8000e+00\n",
      " 4.5000e+00 5.1000e+00 3.7000e+00 5.0000e+00 3.5000e+00 5.2000e+00\n",
      " 3.6000e+00 5.3000e+00 3.4000e+00 2.6000e+00 9.9999e+04 3.0000e+00\n",
      " 3.2000e+00 3.3000e+00 2.9000e+00 5.4000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 4.  4.6 4.2 4.8 3.9 4.1 4.3 4.4 4.7 4.9 3.8 4.5 5.1 3.7 5.  3.5 5.2\n",
      " 3.6 5.3 3.4 2.6 3.  3.2 3.3 2.9 5.4]\n",
      "-----------------------------------------\n",
      "NC1_CRP hscrp@(x!=66666)&(x!=77777)&(x!=99999)@x/10 [ 1.58  0.6   0.92 ... 23.    6.98 11.81]\n",
      "# of filtered=1 before:  69\n",
      "# of filtered=2 after:  0 , conversion unique [0.158 0.06  0.092 ... 2.3   0.698 1.181]\n",
      "-----------------------------------------\n",
      "CT1_HSCRP hscrp@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 3.2000e-02 9.9999e+04 ... 3.5440e+00 5.3600e+00 1.6500e+00]\n",
      "# of filtered=1 before:  3\n",
      "# of filtered=2 after:  4 , conversion unique [  nan 0.032 0.029 ... 3.544 5.36  1.65 ]\n",
      "-----------------------------------------\n",
      "NC1_PRT16_U protein_in_urine@(x>1)&(x<6)@2 [0.0000e+00 1.0000e+00 2.0000e+00 4.0000e+00 9.9999e+04 5.0000e+00\n",
      " 3.0000e+00        nan]\n",
      "# of filtered=1 before:  1627\n",
      "# of filtered=2 after:  812 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PRT16_U protein_in_urine@(x>0)&(x<5)@2 [        nan -1.0000e+00  0.0000e+00  2.0000e+00  1.0000e+00  9.9999e+04\n",
      "  3.0000e+00  4.0000e+00]\n",
      "# of filtered=1 before:  129\n",
      "# of filtered=2 after:  172 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_CHF heart_failure@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9151\n",
      "# of filtered=2 after:  75 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDCH heart_failure@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7593\n",
      "# of filtered=2 after:  16 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTCH heart_failure@2@2 [       nan 1.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  3426\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "AS1_PDPV peripheral_vascular_diseases@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7585\n",
      "# of filtered=2 after:  24 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTPV peripheral_vascular_diseases@2@2 [       nan 1.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  3426\n",
      "# of filtered=2 after:  0 , conversion unique [nan]\n",
      "-----------------------------------------\n",
      "NC1_CATA cataract@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8858\n",
      "# of filtered=2 after:  378 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_CATA cataract@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  95785\n",
      "# of filtered=2 after:  3344 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_GLAU glaucoma@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9170\n",
      "# of filtered=2 after:  56 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GLAU glaucoma@2@2 [       nan 6.6666e+04 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  80983\n",
      "# of filtered=2 after:  574 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_ANEPH renal_failure@2@2 [       nan 6.6666e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  13184\n",
      "# of filtered=2 after:  110 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_RENIN renin@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 3.9100e+00 9.1000e-01 9.8000e-01 2.5500e+00 2.4700e+00\n",
      " 9.5000e-01 1.9500e+00 3.0000e-01 1.7500e+00 5.5700e+00 1.2200e+00\n",
      " 4.2000e-01 4.2600e+00 1.7400e+00 1.8600e+00 3.6800e+00 3.7500e+00\n",
      " 1.5800e+00 5.4700e+00 2.1500e+00 2.6300e+00 2.8100e+00 1.9000e+00\n",
      " 4.1500e+00 2.4900e+00 1.4000e-01 1.5400e+00 4.5900e+00 1.5900e+00\n",
      " 1.9600e+00 4.0000e+00 4.5300e+00 4.7100e+00 2.8500e+00 5.1500e+00\n",
      " 6.6000e-01 3.4200e+00 3.4000e+00 7.4000e-01 1.0000e-01 5.1000e-01\n",
      " 5.5300e+00 2.3400e+00 5.2500e+00 3.7000e-01 1.0700e+00 1.2300e+00\n",
      " 8.4000e-01 9.0000e-01 1.1400e+00 7.6000e-01 4.6800e+00 1.0600e+00\n",
      " 9.9000e-01 8.0000e-01 6.0100e+00 4.8000e-01 8.3000e-01 2.1520e+01\n",
      " 2.9800e+00 2.5700e+00 1.3200e+00 1.8800e+00 1.0200e+00 1.7200e+00\n",
      " 2.4000e-01 1.2500e+00 7.1000e-01 3.0300e+00 4.0000e-01 1.9000e-01\n",
      " 1.4200e+00 3.2600e+00 3.0900e+00 3.3600e+00 4.5200e+00 3.8600e+00\n",
      " 1.9300e+00 3.5400e+00 2.0700e+00 2.7000e-01 1.6000e+00 2.9900e+00\n",
      " 7.7000e-01 2.4200e+00 5.9000e-01 2.6700e+00 8.7900e+00 5.2000e-01\n",
      " 1.2600e+00 1.7900e+00 2.0900e+00 1.9900e+00 1.7800e+00 4.7800e+00\n",
      " 1.1000e+00 7.5000e-01 2.4800e+00 2.6600e+00 2.5100e+00 3.1500e+00\n",
      " 3.5900e+00 2.3800e+00 1.0900e+00 5.4000e-01 1.3000e-01 4.0300e+00\n",
      " 5.9900e+00 8.8600e+00 2.6000e+00 3.0000e+00 2.8200e+00 9.3000e+00\n",
      " 1.3400e+00 6.6000e+00 3.3300e+00 2.0500e+00 4.7000e-01 3.8000e-01\n",
      " 5.9000e+00 4.5000e-01 9.4000e-01 6.1000e-01 1.6100e+00 1.9100e+00\n",
      " 4.6300e+00 7.9400e+00 4.6000e-01 5.6000e-01 3.3000e+00 1.2700e+00\n",
      " 1.8000e-01 8.5200e+00 3.9400e+00 5.0000e-01 3.2000e-01 1.0500e+00\n",
      " 2.9400e+00 9.4200e+00 4.7300e+00 5.8000e-01 1.0300e+00 4.2500e+00\n",
      " 2.0000e+00 1.7000e+00 1.0360e+01 6.4900e+00 6.5900e+00 4.5800e+00\n",
      " 1.9400e+00 2.2000e-01 1.7000e-01 1.6800e+00 7.1600e+00 3.0500e+00\n",
      " 3.4300e+00 6.7900e+00 1.1300e+00 1.4400e+00 6.7000e-01 2.1100e+00\n",
      " 2.5200e+00 2.9500e+00 1.2100e+00 4.4000e-01 2.3200e+00 2.7000e+00\n",
      " 6.5000e-01 2.4500e+00 1.2000e+00 5.6600e+00 1.8400e+00 6.2000e+00\n",
      " 9.1200e+00 7.7900e+00 1.7300e+00 1.2400e+01 1.4900e+00 3.6100e+00\n",
      " 3.3100e+00 5.8200e+00 5.2200e+00 1.5000e-01 1.1200e+00 1.2330e+01\n",
      " 1.1700e+00 1.0400e+00 2.3000e+00 5.6100e+00 2.0100e+00 2.1000e-01\n",
      " 8.2000e-01 2.6800e+00 1.9700e+00 1.8500e+00 1.2900e+00 4.4100e+00\n",
      " 2.2500e+00 6.4000e-01 2.9300e+00 6.0700e+00 3.8500e+00 3.6200e+00\n",
      " 2.6400e+00 7.2800e+00 4.1900e+00 1.1500e+00 2.2400e+00 9.2000e-01\n",
      " 3.2900e+00 4.9000e-01 1.3900e+00 3.5000e-01 4.3900e+00 1.6900e+00\n",
      " 3.5200e+00 8.6000e-01 4.2700e+00 1.6500e+00 1.2800e+00 6.8000e-01\n",
      " 9.6000e-01 3.4000e-01 4.1000e-01 3.9000e-01 1.8000e+00 4.8000e+00\n",
      " 7.3000e-01 2.4100e+00 2.7900e+00 2.2600e+00 2.6200e+00 5.0100e+00\n",
      " 1.5300e+00 9.3000e-01 3.4400e+00 3.7200e+00 3.1400e+00 4.3300e+00\n",
      " 4.5400e+00 1.0100e+00 6.9000e-01 2.5000e+00 1.8900e+00 2.0200e+00\n",
      " 7.0000e-01 8.8900e+00 1.3000e+00 5.0700e+00 1.8300e+00 6.8800e+00\n",
      " 1.5700e+00 2.1120e+01 4.0600e+00 3.3400e+00 3.3900e+00 3.8700e+00\n",
      " 2.8600e+00 1.4700e+00 2.7800e+00 2.2200e+00 1.7100e+00 2.1900e+00\n",
      " 1.5000e+00 8.9000e-01 1.9800e+00 4.4400e+00 2.2100e+00 1.4000e+00\n",
      " 4.1700e+00 3.1600e+00 2.8900e+00 2.7400e+00 5.1300e+00 1.4600e+00\n",
      " 3.9000e+00 3.2800e+00 6.6600e+00 9.8100e+00 3.0800e+00 4.6500e+00\n",
      " 5.2700e+00 1.5100e+00 2.4400e+00 6.8000e+00 8.5400e+00 3.1000e-01\n",
      " 4.1800e+00 1.5500e+00 3.8000e+00 1.6400e+00 2.1600e+00 8.1600e+00\n",
      " 3.7100e+00 2.2000e+00 3.4100e+00 8.4900e+00 2.3600e+00 3.6400e+00\n",
      " 3.8900e+00 2.6100e+00 2.7700e+00 4.2300e+00 1.4300e+00 2.0400e+00\n",
      " 4.3100e+00 9.0300e+00 2.0600e+00 5.1400e+00 1.0510e+01 9.6600e+00\n",
      " 7.0600e+00 2.1000e+00 4.6600e+00 3.8300e+00 3.2100e+00 7.7500e+00\n",
      " 4.4700e+00 3.1700e+00 4.4800e+00 4.1000e+00 2.1200e+00 1.5200e+00\n",
      " 1.2400e+00 3.0100e+00 2.3900e+00 6.3000e-01 3.1900e+00 3.5600e+00\n",
      " 2.9000e-01 7.9000e-01 1.0370e+01 2.3700e+00 1.1400e+01 2.3300e+00\n",
      " 1.3920e+01 7.6000e+00 1.4930e+01 1.4500e+00 4.2100e+00 2.7200e+00\n",
      " 3.2200e+00 3.9500e+00 3.3500e+00 2.2900e+00 5.9600e+00 7.2000e-01\n",
      " 2.8800e+00 3.9800e+00 5.8700e+00 2.5300e+00 5.5600e+00 8.8000e-01\n",
      " 1.8700e+00 2.0800e+00 6.4600e+00 2.9700e+00 4.7900e+00 2.2800e+00\n",
      " 1.0800e+00 5.3500e+00 5.3000e+00 1.4800e+00 2.1300e+00 2.6500e+00\n",
      " 1.3600e+00 1.7600e+00 1.1440e+01 2.8300e+00 3.6600e+00 7.3000e+00\n",
      " 7.2400e+00 8.1800e+00 4.8100e+00 4.0100e+00 2.8000e+00 8.4100e+00\n",
      " 7.0400e+00 8.0600e+00 9.2500e+00 3.1000e+00 3.3700e+00 8.4400e+00\n",
      " 5.5400e+00 1.6700e+00 2.6000e-01 4.3500e+00 5.7000e-01 3.6900e+00\n",
      " 9.9400e+00 2.9600e+00 6.8500e+00 9.6400e+00 7.6200e+00 8.0100e+00\n",
      " 3.2300e+00 4.6400e+00 1.6000e-01 7.1000e+00 2.3500e+00 2.8400e+00\n",
      " 5.6700e+00 4.0700e+00 4.3400e+00 1.2050e+01 1.3100e+00 3.6000e-01\n",
      " 4.1300e+00 5.5000e-01 2.0660e+01 8.5000e-01 1.0820e+01 2.1800e+00\n",
      " 1.0350e+01 2.5000e-01 2.1400e+00 5.9300e+00 3.5700e+00 1.8710e+01\n",
      " 3.3200e+00 3.4600e+00 7.2300e+00 6.7300e+00 6.9800e+00 1.8200e+00\n",
      " 1.1600e+01 2.8000e-01 6.2000e-01 1.9200e+00 5.6500e+00 2.5400e+00\n",
      " 3.7300e+00 2.0300e+00 6.5100e+00 3.0400e+00 6.7400e+00 4.4770e+01\n",
      " 3.4500e+00 1.3800e+00 1.3230e+01 3.8400e+00 3.6500e+00 3.7800e+00\n",
      " 7.7000e+00 8.1000e-01 4.3000e+00 5.8600e+00 3.1100e+00 2.7500e+00\n",
      " 5.5900e+00 3.1300e+00 9.6700e+00 2.3000e-01 8.0400e+00 2.2300e+00\n",
      " 1.4350e+01 1.6600e+00 7.5000e+00 7.8000e-01 1.5750e+01 3.2700e+00\n",
      " 5.9100e+00 3.5100e+00 1.2160e+01 3.0700e+00 9.7000e-01 3.5800e+00\n",
      " 1.0000e+00 7.5200e+00 4.0900e+00 4.7200e+00 2.5600e+00 7.5500e+00\n",
      " 4.2400e+00 2.6900e+00 7.8200e+00 2.0000e-01 2.5900e+00 1.6200e+00\n",
      " 4.9600e+00 3.4900e+00 1.1000e-01 4.6000e+00 5.2400e+00 1.4530e+01\n",
      " 1.1810e+01 3.3000e-01 4.7500e+00 2.1700e+00 1.0120e+01 5.1000e+00\n",
      " 3.8100e+00 1.0390e+01 1.2000e-01 1.0650e+01 3.7900e+00 1.0420e+01\n",
      " 8.6100e+00 5.3600e+00 8.7000e-01 5.2900e+00 4.4000e+00 4.7000e+00\n",
      " 4.3800e+00 5.0400e+00 1.8100e+00 6.2800e+00 1.1900e+00 1.1100e+00\n",
      " 1.1600e+00 2.9200e+00 2.8700e+00 3.2500e+00 6.4700e+00 4.9100e+00\n",
      " 6.0000e-01 4.8900e+00 3.0600e+00 4.1100e+00 2.4000e+00 6.4200e+00\n",
      " 5.0200e+00 9.9700e+00 1.3300e+00 7.4400e+00 2.2700e+00 1.4060e+01\n",
      " 5.0600e+00 5.6900e+00 3.2000e+00 3.7700e+00 6.7700e+00 1.1800e+00\n",
      " 1.7700e+00 1.9790e+01 6.6100e+00 4.3600e+00 8.7400e+00 3.3800e+00\n",
      " 6.7000e+00 4.9800e+00 6.0400e+00 5.9400e+00 5.7800e+00 8.1700e+00\n",
      " 5.4300e+00 7.7600e+00 3.9700e+00 4.4300e+00 7.3600e+00 5.3000e-01\n",
      " 4.9200e+00 6.1100e+00 3.0200e+00 6.6300e+00 1.2350e+01 3.8200e+00\n",
      " 2.5800e+00 2.7100e+00 2.4300e+00 5.5100e+00 3.6000e+00 1.5600e+00\n",
      " 4.9700e+00 1.0890e+01 7.5100e+00 5.3800e+00 5.2600e+00 4.3000e-01\n",
      " 6.1300e+00 6.8400e+00 9.0200e+00 8.3800e+00 9.1900e+00 2.3100e+00\n",
      " 1.4270e+01 1.9920e+01 9.6200e+00 4.5700e+00 5.1200e+00 3.5500e+00\n",
      " 5.1700e+00 6.6900e+00 3.6300e+00 1.3900e+01 1.3360e+01 4.9900e+00\n",
      " 3.1800e+00 7.1900e+00 1.6300e+00 5.0800e+00 8.3900e+00 2.4600e+00\n",
      " 4.2200e+00 6.9400e+00 6.4800e+00 6.2600e+00 5.5500e+00 4.0400e+00\n",
      " 1.3500e+00 7.4600e+00 7.1500e+00 5.1600e+00 4.6100e+00 1.3700e+00\n",
      " 4.3200e+00 9.1700e+00 1.1270e+01 6.4100e+00 6.5700e+00 5.1800e+00\n",
      " 7.3100e+00 5.7300e+00 1.2250e+01 4.6900e+00 1.3270e+01 3.7000e+00\n",
      " 8.5500e+00 4.6200e+00 6.4500e+00 3.2400e+00 4.1600e+00 4.8400e+00\n",
      " 6.0500e+00 8.1400e+00 2.2930e+01 1.0260e+01 8.2400e+00 2.9000e+00\n",
      " 5.8400e+00 9.9100e+00 1.6810e+01 3.5300e+00 8.1300e+00 4.8200e+00\n",
      " 4.8800e+00 1.1640e+01 4.4200e+00 1.4520e+01 8.2900e+00 7.4300e+00\n",
      " 5.4200e+00 3.4700e+00 4.6700e+00 4.1400e+00 8.3100e+00 1.7680e+01\n",
      " 5.0900e+00 8.2800e+00 6.1700e+00 4.5060e+01 4.8500e+00 7.3200e+00\n",
      " 5.7600e+00 9.0900e+00 4.0800e+00 6.4300e+00 5.7400e+00 7.6300e+00\n",
      " 5.5800e+00 5.2800e+00 5.9800e+00 3.9300e+00 1.0640e+01 6.0600e+00\n",
      " 8.0900e+00 7.0300e+00 1.0720e+01 1.5470e+01 8.9800e+00 2.7600e+00\n",
      " 7.9500e+00 4.7600e+00 7.2500e+00 1.0680e+01 4.9500e+00 1.1120e+01\n",
      " 1.0850e+01 3.4800e+00 7.9200e+00 5.8300e+00 2.7300e+00 1.0530e+01\n",
      " 3.6700e+00 3.8800e+00 5.4600e+00 5.3100e+00 1.7760e+01 7.5800e+00\n",
      " 8.6900e+00 8.0200e+00 7.3700e+00 5.9200e+00 5.6200e+00 9.1000e+00\n",
      " 6.4000e+00 6.1900e+00 1.2240e+01 6.8300e+00 9.4300e+00 1.0600e+01\n",
      " 3.9200e+00 8.6000e+00 1.4100e+00 9.7400e+00 1.0060e+01 4.2000e+00\n",
      " 5.1100e+00 5.4900e+00 6.2200e+00 5.8100e+00 5.6400e+00 2.1550e+01\n",
      " 1.2030e+01 4.9300e+00 3.1200e+00 8.8500e+00 6.2300e+00 5.3400e+00\n",
      " 1.0800e+01 8.5100e+00 4.1580e+01 1.0020e+01 4.8600e+00 7.4500e+00\n",
      " 7.0100e+00 7.4800e+00 1.0730e+01 1.4430e+01 5.7500e+00 8.4700e+00\n",
      " 7.2900e+00 3.5000e+00 4.3700e+00 5.1620e+01 8.4200e+00 5.8000e+00\n",
      " 7.8600e+00 3.7600e+00 6.9900e+00 1.5540e+01 1.3830e+01 1.2840e+01\n",
      " 6.2400e+00 6.9300e+00 2.9100e+00 4.5500e+00 9.5700e+00 4.9400e+00\n",
      " 6.8700e+00 1.7460e+01 7.5400e+00 4.0200e+00 5.4000e+00 5.5200e+00\n",
      " 7.7100e+00 9.6300e+00 5.4500e+00 1.0690e+01 6.9100e+00 4.7700e+00\n",
      " 7.6800e+00 6.3200e+00 7.2700e+00 4.5000e+00 7.6600e+00 6.8900e+00\n",
      " 5.8500e+00 4.7400e+00 8.9000e+00 1.2990e+01 4.4600e+00 6.1500e+00\n",
      " 5.4400e+00 9.5200e+00 9.2000e+00 8.8200e+00 9.1500e+00 3.0290e+01\n",
      " 9.9800e+00 5.7700e+00 2.8670e+01 4.0500e+00 1.3850e+01 6.5400e+00\n",
      " 9.3200e+00 1.1820e+01 5.7100e+00 1.2660e+01 1.2010e+01 1.1110e+01\n",
      " 1.2850e+01 3.9600e+00 1.2130e+01 6.1000e+00 1.5130e+01 5.6000e+00\n",
      " 5.7200e+00 1.4650e+01 7.3800e+00 5.0300e+00 6.5300e+00 9.0400e+00\n",
      " 5.7900e+00 6.6500e+00 1.2450e+01 1.2540e+01 5.7000e+00 6.3300e+00\n",
      " 8.9400e+00 7.7800e+00 8.7500e+00 4.9000e+00 9.8500e+00 6.2500e+00\n",
      " 5.5000e+00 1.1750e+01 6.1400e+00 1.1020e+01 3.4900e+01 4.2800e+00\n",
      " 3.3020e+01 7.1100e+00 5.2000e+00 1.4090e+01 1.0460e+01 9.5500e+00\n",
      " 7.3900e+00 8.4300e+00 5.3900e+00 9.0000e+00 4.4400e+01 8.5000e+00\n",
      " 4.4650e+01 4.5600e+00 1.0980e+01 5.1900e+00 6.1200e+00 8.2000e+00\n",
      " 7.7700e+00 7.1200e+00 3.9900e+00 7.6900e+00 2.1060e+01 1.1580e+01\n",
      " 9.4700e+00 7.2600e+00 8.8000e+00 8.4000e+00 2.5220e+01 1.3330e+01\n",
      " 1.0660e+01 4.8300e+00 7.2000e+00 6.3900e+00 7.0500e+00 1.3910e+01\n",
      " 3.2320e+01 5.0500e+00 1.1090e+01 6.2700e+00 1.1330e+01 6.5500e+00\n",
      " 6.6800e+00 1.9960e+01 6.3000e+00 8.2300e+00 7.1800e+00 6.0900e+00\n",
      " 4.4900e+00 6.8200e+00 9.3500e+00 9.7300e+00 6.8100e+00 1.2710e+01\n",
      " 2.3610e+01 6.7600e+00 6.0300e+00 4.5100e+00 4.2900e+00 8.9200e+00\n",
      " 5.8800e+00 5.3700e+00 1.3010e+01 4.8700e+00 8.3700e+00 5.8900e+00\n",
      " 3.4390e+01 6.9000e+00 9.6100e+00 8.9700e+00 1.0050e+01 1.0100e+01\n",
      " 5.4100e+00 6.9600e+00 6.0200e+00 1.0290e+01 1.3940e+01 2.0570e+01\n",
      " 7.3300e+00 7.7400e+00 9.9999e+04 8.4600e+00 1.2460e+01 9.2900e+00\n",
      " 4.1200e+00 5.0000e+00 1.1480e+01 8.6800e+00 1.3150e+01 6.3600e+00\n",
      " 6.2900e+00 6.7200e+00 1.0630e+01 1.2980e+01 9.1100e+00 9.5000e+00\n",
      " 7.0800e+00 8.7600e+00 7.8400e+00 1.7240e+01 4.4500e+00 9.3600e+00\n",
      " 3.9230e+01 1.2390e+01 7.0000e+00 8.2500e+00 5.9700e+00 5.4800e+00\n",
      " 7.1700e+00 8.3400e+00 5.2100e+00 1.2800e+01 9.4100e+00 7.3500e+00\n",
      " 2.7910e+01 1.3280e+01 2.0890e+01 1.3680e+01 6.6700e+00 1.8360e+01\n",
      " 1.0480e+01 1.9190e+01 9.3300e+00 1.3250e+01 9.4400e+00 1.0180e+01\n",
      " 3.7260e+01 9.2200e+00 6.7800e+00 9.8900e+00 5.2300e+00 1.1310e+01\n",
      " 2.8920e+01 1.1840e+01 7.4700e+00 1.4570e+01 7.5900e+00 1.0810e+01\n",
      " 7.2200e+00 1.6040e+01 7.7200e+00 1.1180e+01 1.2080e+01 6.4400e+00\n",
      " 2.2060e+01 1.5670e+01 7.0200e+00 7.0900e+00 1.1690e+01 1.1740e+01\n",
      " 1.5880e+01 8.0800e+00 8.3600e+00 2.2320e+01 1.4070e+01 5.3200e+00\n",
      " 9.3900e+00 1.3960e+01 3.7400e+00 7.1300e+00 1.1060e+01 1.1760e+01\n",
      " 1.0140e+01 6.5200e+00 9.4900e+00 1.1790e+01 3.7180e+01 1.0200e+01\n",
      " 2.8170e+01 6.6200e+00 1.5970e+01 1.5060e+01 1.2810e+01]\n",
      "# of filtered=1 before:  18\n",
      "# of filtered=2 after:  10 , conversion unique [  nan  3.91  0.91  0.98  2.55  2.47  0.95  1.95  0.3   1.75  5.57  1.22\n",
      "  0.42  4.26  1.74  1.86  3.68  3.75  1.58  5.47  2.15  2.63  2.81  1.9\n",
      "  4.15  2.49  0.14  1.54  4.59  1.59  1.96  4.    4.53  4.71  2.85  5.15\n",
      "  0.66  3.42  3.4   0.74  0.1   0.51  5.53  2.34  5.25  0.37  1.07  1.23\n",
      "  0.84  0.9   1.14  0.76  4.68  1.06  0.99  0.8   6.01  0.48  0.83 21.52\n",
      "  2.98  2.57  1.32  1.88  1.02  1.72  0.24  1.25  0.71  3.03  0.4   0.19\n",
      "  1.42  3.26  3.09  3.36  4.52  3.86  1.93  3.54  2.07  0.27  1.6   2.99\n",
      "  0.77  2.42  0.59  2.67  8.79  0.52  1.26  1.79  2.09  1.99  1.78  4.78\n",
      "  1.1   0.75  2.48  2.66  2.51  3.15  3.59  2.38  1.09  0.54  0.13  4.03\n",
      "  5.99  8.86  2.6   3.    2.82  9.3   1.34  6.6   3.33  2.05  0.47  0.38\n",
      "  5.9   0.45  0.94  0.61  1.61  1.91  4.63  7.94  0.46  0.56  3.3   1.27\n",
      "  0.18  8.52  3.94  0.5   0.32  1.05  2.94  9.42  4.73  0.58  1.03  4.25\n",
      "  2.    1.7  10.36  6.49  6.59  4.58  1.94  0.22  0.17  1.68  7.16  3.05\n",
      "  3.43  6.79  1.13  1.44  0.67  2.11  2.52  2.95  1.21  0.44  2.32  2.7\n",
      "  0.65  2.45  1.2   5.66  1.84  6.2   9.12  7.79  1.73 12.4   1.49  3.61\n",
      "  3.31  5.82  5.22  0.15  1.12 12.33  1.17  1.04  2.3   5.61  2.01  0.21\n",
      "  0.82  2.68  1.97  1.85  1.29  4.41  2.25  0.64  2.93  6.07  3.85  3.62\n",
      "  2.64  7.28  4.19  1.15  2.24  0.92  3.29  0.49  1.39  0.35  4.39  1.69\n",
      "  3.52  0.86  4.27  1.65  1.28  0.68  0.96  0.34  0.41  0.39  1.8   4.8\n",
      "  0.73  2.41  2.79  2.26  2.62  5.01  1.53  0.93  3.44  3.72  3.14  4.33\n",
      "  4.54  1.01  0.69  2.5   1.89  2.02  0.7   8.89  1.3   5.07  1.83  6.88\n",
      "  1.57 21.12  4.06  3.34  3.39  3.87  2.86  1.47  2.78  2.22  1.71  2.19\n",
      "  1.5   0.89  1.98  4.44  2.21  1.4   4.17  3.16  2.89  2.74  5.13  1.46\n",
      "  3.9   3.28  6.66  9.81  3.08  4.65  5.27  1.51  2.44  6.8   8.54  0.31\n",
      "  4.18  1.55  3.8   1.64  2.16  8.16  3.71  2.2   3.41  8.49  2.36  3.64\n",
      "  3.89  2.61  2.77  4.23  1.43  2.04  4.31  9.03  2.06  5.14 10.51  9.66\n",
      "  7.06  2.1   4.66  3.83  3.21  7.75  4.47  3.17  4.48  4.1   2.12  1.52\n",
      "  1.24  3.01  2.39  0.63  3.19  3.56  0.29  0.79 10.37  2.37 11.4   2.33\n",
      " 13.92  7.6  14.93  1.45  4.21  2.72  3.22  3.95  3.35  2.29  5.96  0.72\n",
      "  2.88  3.98  5.87  2.53  5.56  0.88  1.87  2.08  6.46  2.97  4.79  2.28\n",
      "  1.08  5.35  5.3   1.48  2.13  2.65  1.36  1.76 11.44  2.83  3.66  7.3\n",
      "  7.24  8.18  4.81  4.01  2.8   8.41  7.04  8.06  9.25  3.1   3.37  8.44\n",
      "  5.54  1.67  0.26  4.35  0.57  3.69  9.94  2.96  6.85  9.64  7.62  8.01\n",
      "  3.23  4.64  0.16  7.1   2.35  2.84  5.67  4.07  4.34 12.05  1.31  0.36\n",
      "  4.13  0.55 20.66  0.85 10.82  2.18 10.35  0.25  2.14  5.93  3.57 18.71\n",
      "  3.32  3.46  7.23  6.73  6.98  1.82 11.6   0.28  0.62  1.92  5.65  2.54\n",
      "  3.73  2.03  6.51  3.04  6.74 44.77  3.45  1.38 13.23  3.84  3.65  3.78\n",
      "  7.7   0.81  4.3   5.86  3.11  2.75  5.59  3.13  9.67  0.23  8.04  2.23\n",
      " 14.35  1.66  7.5   0.78 15.75  3.27  5.91  3.51 12.16  3.07  0.97  3.58\n",
      "  1.    7.52  4.09  4.72  2.56  7.55  4.24  2.69  7.82  0.2   2.59  1.62\n",
      "  4.96  3.49  0.11  4.6   5.24 14.53 11.81  0.33  4.75  2.17 10.12  5.1\n",
      "  3.81 10.39  0.12 10.65  3.79 10.42  8.61  5.36  0.87  5.29  4.4   4.7\n",
      "  4.38  5.04  1.81  6.28  1.19  1.11  1.16  2.92  2.87  3.25  6.47  4.91\n",
      "  0.6   4.89  3.06  4.11  2.4   6.42  5.02  9.97  1.33  7.44  2.27 14.06\n",
      "  5.06  5.69  3.2   3.77  6.77  1.18  1.77 19.79  6.61  4.36  8.74  3.38\n",
      "  6.7   4.98  6.04  5.94  5.78  8.17  5.43  7.76  3.97  4.43  7.36  0.53\n",
      "  4.92  6.11  3.02  6.63 12.35  3.82  2.58  2.71  2.43  5.51  3.6   1.56\n",
      "  4.97 10.89  7.51  5.38  5.26  0.43  6.13  6.84  9.02  8.38  9.19  2.31\n",
      " 14.27 19.92  9.62  4.57  5.12  3.55  5.17  6.69  3.63 13.9  13.36  4.99\n",
      "  3.18  7.19  1.63  5.08  8.39  2.46  4.22  6.94  6.48  6.26  5.55  4.04\n",
      "  1.35  7.46  7.15  5.16  4.61  1.37  4.32  9.17 11.27  6.41  6.57  5.18\n",
      "  7.31  5.73 12.25  4.69 13.27  3.7   8.55  4.62  6.45  3.24  4.16  4.84\n",
      "  6.05  8.14 22.93 10.26  8.24  2.9   5.84  9.91 16.81  3.53  8.13  4.82\n",
      "  4.88 11.64  4.42 14.52  8.29  7.43  5.42  3.47  4.67  4.14  8.31 17.68\n",
      "  5.09  8.28  6.17 45.06  4.85  7.32  5.76  9.09  4.08  6.43  5.74  7.63\n",
      "  5.58  5.28  5.98  3.93 10.64  6.06  8.09  7.03 10.72 15.47  8.98  2.76\n",
      "  7.95  4.76  7.25 10.68  4.95 11.12 10.85  3.48  7.92  5.83  2.73 10.53\n",
      "  3.67  3.88  5.46  5.31 17.76  7.58  8.69  8.02  7.37  5.92  5.62  9.1\n",
      "  6.4   6.19 12.24  6.83  9.43 10.6   3.92  8.6   1.41  9.74 10.06  4.2\n",
      "  5.11  5.49  6.22  5.81  5.64 21.55 12.03  4.93  3.12  8.85  6.23  5.34\n",
      " 10.8   8.51 41.58 10.02  4.86  7.45  7.01  7.48 10.73 14.43  5.75  8.47\n",
      "  7.29  3.5   4.37 51.62  8.42  5.8   7.86  3.76  6.99 15.54 13.83 12.84\n",
      "  6.24  6.93  2.91  4.55  9.57  4.94  6.87 17.46  7.54  4.02  5.4   5.52\n",
      "  7.71  9.63  5.45 10.69  6.91  4.77  7.68  6.32  7.27  4.5   7.66  6.89\n",
      "  5.85  4.74  8.9  12.99  4.46  6.15  5.44  9.52  9.2   8.82  9.15 30.29\n",
      "  9.98  5.77 28.67  4.05 13.85  6.54  9.32 11.82  5.71 12.66 12.01 11.11\n",
      " 12.85  3.96 12.13  6.1  15.13  5.6   5.72 14.65  7.38  5.03  6.53  9.04\n",
      "  5.79  6.65 12.45 12.54  5.7   6.33  8.94  7.78  8.75  4.9   9.85  6.25\n",
      "  5.5  11.75  6.14 11.02 34.9   4.28 33.02  7.11  5.2  14.09 10.46  9.55\n",
      "  7.39  8.43  5.39  9.   44.4   8.5  44.65  4.56 10.98  5.19  6.12  8.2\n",
      "  7.77  7.12  3.99  7.69 21.06 11.58  9.47  7.26  8.8   8.4  25.22 13.33\n",
      " 10.66  4.83  7.2   6.39  7.05 13.91 32.32  5.05 11.09  6.27 11.33  6.55\n",
      "  6.68 19.96  6.3   8.23  7.18  6.09  4.49  6.82  9.35  9.73  6.81 12.71\n",
      " 23.61  6.76  6.03  4.51  4.29  8.92  5.88  5.37 13.01  4.87  8.37  5.89\n",
      " 34.39  6.9   9.61  8.97 10.05 10.1   5.41  6.96  6.02 10.29 13.94 20.57\n",
      "  7.33  7.74  8.46 12.46  9.29  4.12  5.   11.48  8.68 13.15  6.36  6.29\n",
      "  6.72 10.63 12.98  9.11  9.5   7.08  8.76  7.84 17.24  4.45  9.36 39.23\n",
      " 12.39  7.    8.25  5.97  5.48  7.17  8.34  5.21 12.8   9.41  7.35 27.91\n",
      " 13.28 20.89 13.68  6.67 18.36 10.48 19.19  9.33 13.25  9.44 10.18 37.26\n",
      "  9.22  6.78  9.89  5.23 11.31 28.92 11.84  7.47 14.57  7.59 10.81  7.22\n",
      " 16.04  7.72 11.18 12.08  6.44 22.06 15.67  7.02  7.09 11.69 11.74 15.88\n",
      "  8.08  8.36 22.32 14.07  5.32  9.39 13.96  3.74  7.13 11.06 11.76 10.14\n",
      "  6.52  9.49 11.79 37.18 10.2  28.17  6.62 15.97 15.06 12.81]\n",
      "-----------------------------------------\n",
      "NC1_FLIV fatty_liver@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8510\n",
      "# of filtered=2 after:  726 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_FLIV fatty_liver@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  93619\n",
      "# of filtered=2 after:  5483 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_COPD copd@2@2 [       nan 6.6666e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  74340\n",
      "# of filtered=2 after:  140 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDCL copd@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7556\n",
      "# of filtered=2 after:  53 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_TB tuberculosis@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8832\n",
      "# of filtered=2 after:  404 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_BPH benign_prostatic_hyperplasia@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9058\n",
      "# of filtered=2 after:  168 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GOUT gout@2@2 [       nan 6.6666e+04 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  73716\n",
      "# of filtered=2 after:  601 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_PDGT gout@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  7155\n",
      "# of filtered=2 after:  454 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_TRTGT gout@2@2 [       nan 1.0000e+00 9.9999e+04 2.0000e+00]\n",
      "# of filtered=1 before:  3421\n",
      "# of filtered=2 after:  5 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_FRAC1 fracture@2@2 [6.6666e+04 2.0000e+00 1.0000e+00 9.9999e+04        nan]\n",
      "# of filtered=1 before:  2210\n",
      "# of filtered=2 after:  635 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_FRAC1 fracture@2@2 [       nan 9.9999e+04 1.0000e+00 2.0000e+00 6.6666e+04]\n",
      "# of filtered=1 before:  77742\n",
      "# of filtered=2 after:  10239 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "NC1_GB cholelithiasis_cholecystitis@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  8953\n",
      "# of filtered=2 after:  283 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GB cholelithiasis_cholecystitis@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  96429\n",
      "# of filtered=2 after:  2705 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_PER periodontal_disease@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04 6.6666e+04]\n",
      "# of filtered=1 before:  85941\n",
      "# of filtered=2 after:  6100 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_INSM insomnia@2@2 [       nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  6296\n",
      "# of filtered=2 after:  1219 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "AS1_SLPAMTM sleep_duration@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 5.0000e+00 6.0000e+00 8.0000e+00 7.0000e+00 3.0000e+00\n",
      " 9.0000e+00 1.0000e+01 4.0000e+00 9.9999e+04 2.0000e+00 1.2000e+01\n",
      " 1.1000e+01 1.0000e+00 1.5000e+01]\n",
      "# of filtered=1 before:  2\n",
      "# of filtered=2 after:  11 , conversion unique [nan  5.  6.  8.  7.  3.  9. 10.  4.  2. 12. 11.  1. 15.]\n",
      "-----------------------------------------\n",
      "NC1_NOI neurosis@2@2 [6.6666e+04        nan 1.0000e+00 2.0000e+00 9.9999e+04]\n",
      "# of filtered=1 before:  9114\n",
      "# of filtered=2 after:  112 , conversion unique [nan  2.]\n",
      "-----------------------------------------\n",
      "CT1_GF1 grip_strength@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 6.6666e+04 4.8900e+01 3.9400e+01 1.1400e+01 1.6100e+01\n",
      " 2.3900e+01 2.6500e+01 3.5600e+01 2.5000e+01 2.6000e+01 2.5100e+01\n",
      " 3.3700e+01 4.0900e+01 2.1900e+01 2.3000e+01 4.5300e+01 3.2000e+01\n",
      " 3.2500e+01 2.9300e+01 2.2400e+01 2.4800e+01 2.6900e+01 2.0900e+01\n",
      " 3.8200e+01 2.2700e+01 1.6900e+01 9.9999e+04 3.7500e+01 2.3800e+01\n",
      " 2.4100e+01 1.9400e+01 1.6600e+01 1.3600e+01 2.0200e+01 2.3300e+01\n",
      " 2.3500e+01 1.9200e+01 2.5300e+01 4.4200e+01 2.8800e+01 2.6100e+01\n",
      " 1.6200e+01 2.5200e+01 2.3700e+01 2.4500e+01 1.5900e+01 1.4400e+01\n",
      " 1.6500e+01 3.9600e+01 2.4000e+01 5.1400e+01 4.1100e+01 3.7600e+01\n",
      " 2.5500e+01 2.3400e+01 3.0000e+00 3.7000e+01 1.8000e+01 4.2900e+01\n",
      " 3.8000e+01 2.8700e+01 4.5500e+01 5.5700e+01 1.5000e+01 1.9900e+01\n",
      " 4.9000e+01 4.1300e+01 2.8100e+01 2.4400e+01 1.7500e+01 4.5900e+01\n",
      " 3.3300e+01 2.1400e+01 2.0100e+01 2.2800e+01 2.3600e+01 3.6000e+01\n",
      " 2.8600e+01 1.8600e+01 2.0800e+01 2.6200e+01 9.0000e+00 1.5500e+01\n",
      " 3.9500e+01 4.2500e+01 3.1400e+01 4.3700e+01 4.3800e+01 2.1200e+01\n",
      " 3.6700e+01 2.7600e+01 4.5000e+01 3.1600e+01 4.4400e+01 3.4800e+01\n",
      " 1.9100e+01 3.2200e+01 2.4600e+01 4.1400e+01 2.1000e+01 2.0500e+01\n",
      " 2.4900e+01 1.9300e+01 2.0600e+01 4.0700e+01 2.2200e+01 3.8700e+01\n",
      " 3.4200e+01 4.0200e+01 1.8300e+01 1.7300e+01 1.8500e+01 2.7200e+01\n",
      " 2.3200e+01 2.6300e+01 2.0000e+01 1.1100e+01 3.9800e+01 2.9700e+01\n",
      " 1.9700e+01 4.4000e+01 5.0800e+01 3.5500e+01 3.5200e+01 4.3500e+01\n",
      " 3.3200e+01 2.7300e+01 3.4500e+01 3.3100e+01 2.2000e+00 2.9000e+01\n",
      " 2.9900e+01 4.4800e+01 2.8300e+01 1.6000e+01 2.2100e+01 4.0000e+01\n",
      " 2.1700e+01 2.8000e+01 4.5200e+01 4.1600e+01 1.4000e+01 1.9000e+01\n",
      " 1.7000e+01 2.2500e+01 1.2000e+01 3.8600e+01 1.5100e+01 3.8500e+01\n",
      " 4.3200e+01 1.7900e+01 3.5400e+01 2.7900e+01 4.3000e+01 2.1500e+01\n",
      " 3.7800e+01 2.5600e+01 1.3300e+01 1.5700e+01 2.7700e+01 2.8200e+01\n",
      " 2.5700e+01 1.9500e+01 2.2600e+01 9.4000e+00 1.3200e+01 2.6700e+01\n",
      " 4.2600e+01 2.6800e+01 4.8100e+01 4.1500e+01 2.7100e+01 1.7700e+01\n",
      " 3.2700e+01 4.1200e+01 5.0300e+01 2.2000e+01 3.6400e+01 3.6900e+01\n",
      " 1.6300e+01 1.3800e+01 2.2900e+01 1.8700e+01 1.5600e+01 3.7400e+01\n",
      " 3.5700e+01 4.0800e+01 2.1100e+01 3.9700e+01 1.8400e+01 3.0000e+01\n",
      " 2.0300e+01 1.5400e+01 1.1000e+01 4.1800e+01 3.2300e+01 3.6600e+01\n",
      " 1.8900e+01 2.4300e+01 2.3100e+01 1.9600e+01 3.0200e+01 2.0700e+01\n",
      " 1.5800e+01 1.2700e+01 2.9500e+01 3.5000e+01 1.4700e+01 3.8300e+01\n",
      " 3.1900e+01 2.4700e+01 4.7200e+01 3.4900e+01 1.8100e+01 1.4800e+01\n",
      " 7.5000e+00 5.1800e+01 4.2800e+01 2.6400e+01 5.0000e+01 4.6200e+01\n",
      " 4.2300e+01 5.0900e+01 3.8400e+01 3.4700e+01 4.6300e+01 2.9400e+01\n",
      " 3.0700e+01 4.3600e+01 3.3600e+01 4.2100e+01 1.7800e+01 3.9100e+01\n",
      " 2.7000e+01 3.7900e+01 3.6200e+01 1.5200e+01 3.7100e+01 2.2300e+01\n",
      " 1.2900e+01 3.1200e+01 3.4600e+01 1.3000e+01 2.1300e+01 3.8100e+01\n",
      " 3.9200e+01 2.8500e+01 4.0300e+01 2.5900e+01 3.1500e+01 6.7000e+00\n",
      " 2.5400e+01 3.7300e+01 2.1600e+01 3.7700e+01 4.9600e+01 2.0400e+01\n",
      " 3.4300e+01 5.8000e+00 1.3700e+01 4.7600e+01 3.9000e+01 1.6400e+01\n",
      " 3.7200e+01 4.4500e+01 1.6700e+01 3.1100e+01 4.9700e+01 1.7100e+01\n",
      " 4.9500e+01 3.5900e+01 2.8400e+01 4.1000e+01 4.3300e+01 1.2800e+01\n",
      " 1.2500e+01 3.5300e+01 2.4200e+01 3.0600e+01 5.2000e+01 1.8200e+01\n",
      " 2.9800e+01 1.6800e+01 2.9200e+01 3.2600e+01 2.7500e+01 3.1000e+01\n",
      " 1.9800e+01 3.5100e+01 5.0200e+01 2.5800e+01 2.1800e+01 4.6000e+01\n",
      " 3.0500e+01 2.7400e+01 3.0400e+01 2.9600e+01 4.0100e+01 1.9000e+00\n",
      " 3.8900e+01 4.2400e+01 1.4500e+01 3.4000e+01 3.1800e+01 4.7300e+01\n",
      " 3.3000e+01 4.7700e+01 3.6500e+01 4.3400e+01 4.9800e+01 4.7500e+01\n",
      " 4.3900e+01 4.4100e+01 1.4900e+01 4.7000e+01 1.7200e+01 2.7800e+01\n",
      " 5.1500e+01 5.0400e+01 4.7900e+01 3.4400e+01 1.3500e+01 5.3600e+01\n",
      " 3.3500e+01 2.6600e+01 3.0800e+01 4.6600e+01 4.3100e+01 5.6500e+01\n",
      " 1.3400e+01 1.8800e+01 3.2800e+01 3.6800e+01 4.0600e+01 4.4700e+01\n",
      " 3.0100e+01 3.1700e+01 4.2000e+01 1.3900e+01 3.9300e+01 5.5400e+01\n",
      " 1.7600e+01 4.5600e+01 1.4100e+01 3.1300e+01 1.4200e+01 3.9900e+01\n",
      " 7.7000e+00 1.7400e+01 3.2400e+01 1.2600e+01 3.8800e+01 4.0000e+00\n",
      " 4.6700e+01 4.0500e+01 4.1900e+01 4.8800e+01 1.0500e+01 4.7400e+01\n",
      " 3.2900e+01 1.2100e+01 1.0600e+01 4.6500e+01 4.9400e+01 4.9100e+01\n",
      " 1.0800e+01 3.0900e+01 3.3800e+01 4.0400e+01 1.1300e+01 4.1000e+00\n",
      " 3.2100e+01 1.0000e+01 4.5700e+01 7.0000e+00 3.6100e+01 3.5800e+01\n",
      " 1.0400e+01 5.0500e+01 9.9900e+01 1.2400e+01 1.1200e+01 3.4100e+01\n",
      " 4.5400e+01 4.8500e+01 4.2200e+01 8.2000e+00 4.8000e+01 5.4000e+01\n",
      " 5.5000e+00 4.9000e+00 4.8200e+01 4.5000e+00 1.4300e+01 5.2600e+01\n",
      " 2.9100e+01 1.4600e+01 3.3400e+01 3.0300e+01 5.6000e+00 9.5000e+01\n",
      " 5.5100e+01 4.4900e+01 5.1300e+01 2.8900e+01 4.5800e+01 2.5000e+00\n",
      " 1.2300e+01 5.1000e+00 5.1900e+01 5.3000e+00 4.8700e+01 1.5300e+01\n",
      " 4.6900e+01 4.3220e+01 5.6800e+01 4.6100e+01 1.1800e+01 1.0700e+01\n",
      " 6.1400e+01 9.9000e+00 4.8300e+01 1.3100e+01 4.8400e+01 5.3200e+01\n",
      " 4.7000e+00 4.9300e+01 3.3900e+01 6.9000e+00 5.6100e+01 3.6300e+01\n",
      " 5.8300e+01 1.0100e+01 9.3000e+00 1.1600e+01 7.1000e+00 5.9000e+00\n",
      " 1.1900e+01 4.4600e+01 5.0100e+01 5.9500e+01 5.1600e+01 4.1700e+01\n",
      " 5.4300e+01 4.4300e+01 3.8000e+00 3.7000e+00 1.0200e+01 5.2100e+01\n",
      " 5.6000e+01 1.1500e+01 8.7000e+00 1.2200e+01 6.8000e+00 8.0000e+00\n",
      " 4.7800e+01 5.2500e+01 7.3000e+00 7.5800e+01 5.7900e+01 4.2700e+01\n",
      " 5.1100e+01 5.2900e+01 6.0000e+01 9.8000e+00 7.4600e+01 8.5000e+00\n",
      " 4.8600e+01 5.2000e+00 5.3900e+01 5.4200e+01 5.0600e+01 5.5800e+01\n",
      " 4.5100e+01 8.8000e+00 5.4400e+01 7.8000e+00 5.0700e+01 7.6000e+00\n",
      " 5.8700e+01 5.1700e+01 8.1000e+00 4.7100e+01 4.6800e+01 5.3800e+01\n",
      " 8.3000e+00 5.8000e+01 5.4100e+01 5.9600e+01 7.9400e+01 6.5000e+01\n",
      " 4.9200e+01 4.3000e+00 4.2000e+00 6.0000e+00 9.5000e+00 5.7500e+01\n",
      " 4.8000e+00 1.1700e+01 1.0300e+01 4.6400e+01 1.0900e+01 9.9400e+01\n",
      " 5.5200e+01 7.9000e+00 5.2400e+01 5.2200e+01 5.1200e+01 4.9900e+01\n",
      " 4.4000e+00 6.1000e+00 9.2000e+00 5.5300e+01 9.1000e+00 5.0000e+00\n",
      " 5.2700e+01 5.2800e+01 5.3300e+01 5.2300e+01 5.4500e+01 8.9000e+00\n",
      " 7.2000e+00 5.5600e+01 6.4300e+01 5.3100e+01 6.1600e+01 5.6600e+01\n",
      " 5.7400e+01 1.1500e+02 5.5000e+01 5.6200e+01 6.4000e+00 6.1000e+01\n",
      " 6.4700e+01 5.7100e+01 5.7000e+01 9.7000e+00 5.4700e+01 6.1700e+01\n",
      " 6.6000e+00 5.7200e+01 8.6000e+00 5.5500e+01 5.1000e+01 9.6000e+00\n",
      " 5.4800e+01 1.0580e+02 8.2400e+01 5.9800e+01 5.3500e+01 6.5000e+00\n",
      " 8.4000e+00 5.3000e+01 9.0800e+01 2.6000e+00 5.4000e+00 5.3700e+01\n",
      " 6.3000e+00 5.9700e+01 1.3000e+00 5.7600e+01 3.2000e+00 7.2800e+01\n",
      " 3.6000e+00 5.5900e+01 6.2000e+00 6.0700e+01 4.6000e+00 6.2500e+01\n",
      " 6.1800e+01 3.5000e+00 7.4000e+00 5.6400e+01 9.3600e+01 6.4100e+01\n",
      " 5.4600e+01 1.7640e+01 5.8600e+01 5.7300e+01 5.8200e+01 8.6200e+01\n",
      " 8.2300e+01 9.2600e+01 6.1500e+01 2.7520e+01 6.0400e+01 6.0600e+01\n",
      " 1.0260e+02 5.7700e+01 5.6300e+01 5.9000e+01 6.5400e+01 6.2000e+01\n",
      " 8.8600e+01 5.6700e+01 1.4000e+00 6.2400e+01 7.6800e+01 2.8760e+01\n",
      " 2.8000e+00 6.7000e+01 5.8900e+01 8.0200e+01 6.7400e+01 2.4190e+01\n",
      " 7.1000e+01 8.7000e+01 6.3900e+01 5.9200e+01 7.3800e+01 2.0000e+00\n",
      " 3.8910e+01 2.8400e+02 6.7200e+01 2.8660e+02 5.3400e+01 7.7000e+01\n",
      " 2.2140e+01 3.3000e+00 1.2900e+02 5.7800e+01 2.1470e+01 6.3400e+01\n",
      " 7.4800e+01 6.4600e+01 5.8500e+01 6.3600e+01 9.6600e+01 5.9900e+01\n",
      " 7.8800e+01 5.9400e+01 9.4400e+01 8.5400e+01 7.1600e+01 3.0950e+01\n",
      " 6.6000e+01 8.5800e+01 2.8000e+02 1.9250e+01 5.8100e+01 2.3000e+00\n",
      " 5.9100e+01 1.4300e+02 6.3500e+01 2.1300e+02 7.6600e+01 3.2070e+01\n",
      " 1.0140e+02 5.6900e+01 7.6000e+01 6.0900e+01 7.9000e+01 7.0400e+01\n",
      " 5.4900e+01 2.2300e+02 7.8200e+01 9.1000e+01 6.7600e+01 5.8400e+01\n",
      " 3.0280e+01 2.9000e+00 2.2340e+01 3.9000e+00 8.0600e+01 1.0060e+02\n",
      " 1.6980e+01 6.2200e+01 5.1110e+02 7.2600e+01 9.0000e+01 3.4850e+01\n",
      " 1.0120e+02 7.5000e+01 7.3400e+01 8.3000e+01 1.7930e+01 3.4000e+00\n",
      " 1.4450e+01 9.2400e+01 2.1620e+01 7.5600e+01 7.3000e+01 6.2600e+01\n",
      " 2.4000e+00 3.2530e+01 6.5200e+01 6.1200e+01 6.9400e+01 6.3800e+01\n",
      " 2.2770e+01 8.6000e+01 2.6980e+01 8.7600e+01 5.7000e+00 8.9600e+01\n",
      " 6.0200e+01 6.2900e+01 2.0530e+01 7.1400e+01 2.0390e+01 6.9800e+01\n",
      " 7.1800e+01 2.2720e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  1 , conversion unique [   nan  48.9   39.4   11.4   16.1   23.9   26.5   35.6   25.    26.\n",
      "  25.1   33.7   40.9   21.9   23.    45.3   32.    32.5   29.3   22.4\n",
      "  24.8   26.9   20.9   38.2   22.7   16.9   37.5   23.8   24.1   19.4\n",
      "  16.6   13.6   20.2   23.3   23.5   19.2   25.3   44.2   28.8   26.1\n",
      "  16.2   25.2   23.7   24.5   15.9   14.4   16.5   39.6   24.    51.4\n",
      "  41.1   37.6   25.5   23.4    3.    37.    18.    42.9   38.    28.7\n",
      "  45.5   55.7   15.    19.9   49.    41.3   28.1   24.4   17.5   45.9\n",
      "  33.3   21.4   20.1   22.8   23.6   36.    28.6   18.6   20.8   26.2\n",
      "   9.    15.5   39.5   42.5   31.4   43.7   43.8   21.2   36.7   27.6\n",
      "  45.    31.6   44.4   34.8   19.1   32.2   24.6   41.4   21.    20.5\n",
      "  24.9   19.3   20.6   40.7   22.2   38.7   34.2   40.2   18.3   17.3\n",
      "  18.5   27.2   23.2   26.3   20.    11.1   39.8   29.7   19.7   44.\n",
      "  50.8   35.5   35.2   43.5   33.2   27.3   34.5   33.1    2.2   29.\n",
      "  29.9   44.8   28.3   16.    22.1   40.    21.7   28.    45.2   41.6\n",
      "  14.    19.    17.    22.5   12.    38.6   15.1   38.5   43.2   17.9\n",
      "  35.4   27.9   43.    21.5   37.8   25.6   13.3   15.7   27.7   28.2\n",
      "  25.7   19.5   22.6    9.4   13.2   26.7   42.6   26.8   48.1   41.5\n",
      "  27.1   17.7   32.7   41.2   50.3   22.    36.4   36.9   16.3   13.8\n",
      "  22.9   18.7   15.6   37.4   35.7   40.8   21.1   39.7   18.4   30.\n",
      "  20.3   15.4   11.    41.8   32.3   36.6   18.9   24.3   23.1   19.6\n",
      "  30.2   20.7   15.8   12.7   29.5   35.    14.7   38.3   31.9   24.7\n",
      "  47.2   34.9   18.1   14.8    7.5   51.8   42.8   26.4   50.    46.2\n",
      "  42.3   50.9   38.4   34.7   46.3   29.4   30.7   43.6   33.6   42.1\n",
      "  17.8   39.1   27.    37.9   36.2   15.2   37.1   22.3   12.9   31.2\n",
      "  34.6   13.    21.3   38.1   39.2   28.5   40.3   25.9   31.5    6.7\n",
      "  25.4   37.3   21.6   37.7   49.6   20.4   34.3    5.8   13.7   47.6\n",
      "  39.    16.4   37.2   44.5   16.7   31.1   49.7   17.1   49.5   35.9\n",
      "  28.4   41.    43.3   12.8   12.5   35.3   24.2   30.6   52.    18.2\n",
      "  29.8   16.8   29.2   32.6   27.5   31.    19.8   35.1   50.2   25.8\n",
      "  21.8   46.    30.5   27.4   30.4   29.6   40.1    1.9   38.9   42.4\n",
      "  14.5   34.    31.8   47.3   33.    47.7   36.5   43.4   49.8   47.5\n",
      "  43.9   44.1   14.9   47.    17.2   27.8   51.5   50.4   47.9   34.4\n",
      "  13.5   53.6   33.5   26.6   30.8   46.6   43.1   56.5   13.4   18.8\n",
      "  32.8   36.8   40.6   44.7   30.1   31.7   42.    13.9   39.3   55.4\n",
      "  17.6   45.6   14.1   31.3   14.2   39.9    7.7   17.4   32.4   12.6\n",
      "  38.8    4.    46.7   40.5   41.9   48.8   10.5   47.4   32.9   12.1\n",
      "  10.6   46.5   49.4   49.1   10.8   30.9   33.8   40.4   11.3    4.1\n",
      "  32.1   10.    45.7    7.    36.1   35.8   10.4   50.5   99.9   12.4\n",
      "  11.2   34.1   45.4   48.5   42.2    8.2   48.    54.     5.5    4.9\n",
      "  48.2    4.5   14.3   52.6   29.1   14.6   33.4   30.3    5.6   95.\n",
      "  55.1   44.9   51.3   28.9   45.8    2.5   12.3    5.1   51.9    5.3\n",
      "  48.7   15.3   46.9   43.22  56.8   46.1   11.8   10.7   61.4    9.9\n",
      "  48.3   13.1   48.4   53.2    4.7   49.3   33.9    6.9   56.1   36.3\n",
      "  58.3   10.1    9.3   11.6    7.1    5.9   11.9   44.6   50.1   59.5\n",
      "  51.6   41.7   54.3   44.3    3.8    3.7   10.2   52.1   56.    11.5\n",
      "   8.7   12.2    6.8    8.    47.8   52.5    7.3   75.8   57.9   42.7\n",
      "  51.1   52.9   60.     9.8   74.6    8.5   48.6    5.2   53.9   54.2\n",
      "  50.6   55.8   45.1    8.8   54.4    7.8   50.7    7.6   58.7   51.7\n",
      "   8.1   47.1   46.8   53.8    8.3   58.    54.1   59.6   79.4   65.\n",
      "  49.2    4.3    4.2    6.     9.5   57.5    4.8   11.7   10.3   46.4\n",
      "  10.9   99.4   55.2    7.9   52.4   52.2   51.2   49.9    4.4    6.1\n",
      "   9.2   55.3    9.1    5.    52.7   52.8   53.3   52.3   54.5    8.9\n",
      "   7.2   55.6   64.3   53.1   61.6   56.6   57.4  115.    55.    56.2\n",
      "   6.4   61.    64.7   57.1   57.     9.7   54.7   61.7    6.6   57.2\n",
      "   8.6   55.5   51.     9.6   54.8  105.8   82.4   59.8   53.5    6.5\n",
      "   8.4   53.    90.8    2.6    5.4   53.7    6.3   59.7    1.3   57.6\n",
      "   3.2   72.8    3.6   55.9    6.2   60.7    4.6   62.5   61.8    3.5\n",
      "   7.4   56.4   93.6   64.1   54.6   17.64  58.6   57.3   58.2   86.2\n",
      "  82.3   92.6   61.5   27.52  60.4   60.6  102.6   57.7   56.3   59.\n",
      "  65.4   62.    88.6   56.7    1.4   62.4   76.8   28.76   2.8   67.\n",
      "  58.9   80.2   67.4   24.19  71.    87.    63.9   59.2   73.8    2.\n",
      "  38.91 284.    67.2  286.6   53.4   77.    22.14   3.3  129.    57.8\n",
      "  21.47  63.4   74.8   64.6   58.5   63.6   96.6   59.9   78.8   59.4\n",
      "  94.4   85.4   71.6   30.95  66.    85.8  280.    19.25  58.1    2.3\n",
      "  59.1  143.    63.5  213.    76.6   32.07 101.4   56.9   76.    60.9\n",
      "  79.    70.4   54.9  223.    78.2   91.    67.6   58.4   30.28   2.9\n",
      "  22.34   3.9   80.6  100.6   16.98  62.2  511.1   72.6   90.    34.85\n",
      " 101.2   75.    73.4   83.    17.93   3.4   14.45  92.4   21.62  75.6\n",
      "  73.    62.6    2.4   32.53  65.2   61.2   69.4   63.8   22.77  86.\n",
      "  26.98  87.6    5.7   89.6   60.2   62.9   20.53  71.4   20.39  69.8\n",
      "  71.8   22.72]\n",
      "-----------------------------------------\n",
      "AS1_SPFVCP FVC_predicted@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 2.7200e+00 3.1700e+00 3.8300e+00 4.6300e+00 3.1600e+00\n",
      " 4.3500e+00 3.3900e+00 1.9100e+00 2.5400e+00 3.6400e+00 4.1800e+00\n",
      " 3.9300e+00 4.0300e+00 2.9700e+00 3.9500e+00 2.3300e+00 3.5400e+00\n",
      " 4.1000e+00 4.2500e+00 1.9300e+00 4.7700e+00 4.6500e+00 2.3500e+00\n",
      " 4.5300e+00 2.6800e+00 2.7400e+00 3.3400e+00 4.3800e+00 3.4400e+00\n",
      " 4.2000e+00 2.8200e+00 2.6900e+00 3.1100e+00 4.5000e+00 3.6300e+00\n",
      " 3.9800e+00 2.6300e+00 2.7700e+00 2.9400e+00 2.4200e+00 3.4100e+00\n",
      " 9.9999e+04 3.1900e+00 3.0600e+00 3.4300e+00 5.3200e+00 4.6000e+00\n",
      " 2.2800e+00 3.2500e+00 4.0800e+00 4.0000e+00 4.4000e+00 4.1500e+00\n",
      " 2.8500e+00 3.2400e+00 3.8600e+00 4.9000e+00 3.4900e+00 3.7300e+00\n",
      " 2.2200e+00 2.7600e+00 3.7600e+00 3.5300e+00 3.0000e+00 2.7500e+00\n",
      " 4.6700e+00 4.4500e+00 4.2800e+00 3.5900e+00 3.4000e+00 2.3900e+00\n",
      " 2.6200e+00 3.3100e+00 4.4700e+00 2.9200e+00 3.0700e+00 4.1100e+00\n",
      " 4.1300e+00 2.9500e+00 2.5600e+00 2.5100e+00 2.6100e+00 2.4400e+00\n",
      " 4.3300e+00 2.5800e+00 2.5300e+00 3.3200e+00 3.4600e+00 4.6200e+00\n",
      " 2.8900e+00 4.0600e+00 2.1200e+00 4.8000e+00 3.0200e+00 3.5600e+00\n",
      " 2.0300e+00 3.7900e+00 4.3000e+00 4.8200e+00 2.8100e+00 2.9300e+00\n",
      " 3.1500e+00 3.6600e+00 2.4100e+00 4.4200e+00 3.3600e+00 3.7500e+00\n",
      " 4.2100e+00 4.3700e+00 2.4900e+00 3.8800e+00 3.7100e+00 3.4800e+00\n",
      " 4.8500e+00 2.7000e+00 3.3800e+00 3.1800e+00 2.5900e+00 2.8300e+00\n",
      " 4.4300e+00 3.6800e+00 2.9000e+00 4.5200e+00 4.8700e+00 2.6500e+00\n",
      " 2.0700e+00 3.0100e+00 3.7800e+00 2.9900e+00 3.9000e+00 2.8000e+00\n",
      " 3.6200e+00 4.5500e+00 3.2900e+00 3.0400e+00 4.5700e+00 2.6600e+00\n",
      " 4.2300e+00 3.9400e+00 4.7200e+00 2.4500e+00 4.7900e+00 4.0500e+00\n",
      " 3.1000e+00 3.4200e+00 2.8800e+00 3.2000e+00 3.6500e+00 3.5200e+00\n",
      " 5.1900e+00 4.9500e+00 3.1400e+00 2.6700e+00 4.4800e+00 4.9900e+00\n",
      " 4.9700e+00 3.0800e+00 3.4500e+00 2.1700e+00 2.5200e+00 3.8000e+00\n",
      " 2.3600e+00 1.7300e+00 4.6800e+00 3.5700e+00 3.1300e+00 2.4800e+00\n",
      " 2.4000e+00 2.7800e+00 3.5100e+00 2.8700e+00 4.1600e+00 2.1900e+00\n",
      " 3.3300e+00 2.7300e+00 5.0700e+00 3.6100e+00 2.4700e+00 2.6400e+00\n",
      " 5.0400e+00 2.3700e+00 2.2400e+00 4.7500e+00 3.0900e+00 2.1000e+00\n",
      " 2.2100e+00 5.0900e+00 3.2200e+00 2.8600e+00 4.9200e+00 3.2100e+00\n",
      " 2.2500e+00 5.2200e+00 5.0200e+00 3.8500e+00 4.5800e+00 3.1200e+00\n",
      " 3.5500e+00 3.5000e+00 5.2400e+00 2.3800e+00 4.3200e+00 2.7100e+00\n",
      " 5.1200e+00 3.2700e+00 2.2600e+00 2.5000e+00 3.9100e+00 3.0500e+00\n",
      " 3.7000e+00 1.7100e+00 1.9600e+00 2.3100e+00 2.7900e+00 4.7000e+00\n",
      " 4.8400e+00 2.9600e+00 2.8400e+00 2.2900e+00 3.3000e+00 2.2300e+00\n",
      " 3.0300e+00 2.5500e+00 5.4100e+00 2.9800e+00 3.6900e+00 2.5700e+00\n",
      " 2.0500e+00 3.9600e+00 5.1700e+00 4.9400e+00 3.4700e+00 4.2700e+00\n",
      " 4.2200e+00 3.8100e+00 2.1500e+00 2.6000e+00 4.0100e+00 1.4700e+00\n",
      " 2.1400e+00 3.2600e+00 5.5400e+00 5.3600e+00 3.8400e+00 2.0000e+00\n",
      " 2.3000e+00 4.7400e+00 4.1700e+00 2.1600e+00 3.7400e+00 3.5800e+00\n",
      " 4.3900e+00 4.6400e+00 3.3500e+00 1.9800e+00 2.4300e+00 4.8900e+00\n",
      " 3.2800e+00 4.6900e+00 1.8200e+00 2.3200e+00 5.2700e+00 3.2300e+00\n",
      " 2.4600e+00 2.9100e+00 4.5400e+00 3.7700e+00 3.8200e+00 1.8700e+00\n",
      " 2.0600e+00 1.9900e+00 5.6900e+00 4.1200e+00 5.1600e+00 4.5900e+00\n",
      " 1.8400e+00 2.3400e+00 2.0800e+00 5.3900e+00 2.1800e+00 5.2600e+00\n",
      " 5.3400e+00 5.0000e+00 1.8900e+00 5.1100e+00 1.7700e+00 4.4400e+00\n",
      " 2.0200e+00 3.8700e+00 2.0100e+00 3.8900e+00 2.0400e+00 3.6700e+00\n",
      " 4.0900e+00 5.1400e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  8 , conversion unique [ nan 2.72 3.17 3.83 4.63 3.16 4.35 3.39 1.91 2.54 3.64 4.18 3.93 4.03\n",
      " 2.97 3.95 2.33 3.54 4.1  4.25 1.93 4.77 4.65 2.35 4.53 2.68 2.74 3.34\n",
      " 4.38 3.44 4.2  2.82 2.69 3.11 4.5  3.63 3.98 2.63 2.77 2.94 2.42 3.41\n",
      " 3.19 3.06 3.43 5.32 4.6  2.28 3.25 4.08 4.   4.4  4.15 2.85 3.24 3.86\n",
      " 4.9  3.49 3.73 2.22 2.76 3.76 3.53 3.   2.75 4.67 4.45 4.28 3.59 3.4\n",
      " 2.39 2.62 3.31 4.47 2.92 3.07 4.11 4.13 2.95 2.56 2.51 2.61 2.44 4.33\n",
      " 2.58 2.53 3.32 3.46 4.62 2.89 4.06 2.12 4.8  3.02 3.56 2.03 3.79 4.3\n",
      " 4.82 2.81 2.93 3.15 3.66 2.41 4.42 3.36 3.75 4.21 4.37 2.49 3.88 3.71\n",
      " 3.48 4.85 2.7  3.38 3.18 2.59 2.83 4.43 3.68 2.9  4.52 4.87 2.65 2.07\n",
      " 3.01 3.78 2.99 3.9  2.8  3.62 4.55 3.29 3.04 4.57 2.66 4.23 3.94 4.72\n",
      " 2.45 4.79 4.05 3.1  3.42 2.88 3.2  3.65 3.52 5.19 4.95 3.14 2.67 4.48\n",
      " 4.99 4.97 3.08 3.45 2.17 2.52 3.8  2.36 1.73 4.68 3.57 3.13 2.48 2.4\n",
      " 2.78 3.51 2.87 4.16 2.19 3.33 2.73 5.07 3.61 2.47 2.64 5.04 2.37 2.24\n",
      " 4.75 3.09 2.1  2.21 5.09 3.22 2.86 4.92 3.21 2.25 5.22 5.02 3.85 4.58\n",
      " 3.12 3.55 3.5  5.24 2.38 4.32 2.71 5.12 3.27 2.26 2.5  3.91 3.05 3.7\n",
      " 1.71 1.96 2.31 2.79 4.7  4.84 2.96 2.84 2.29 3.3  2.23 3.03 2.55 5.41\n",
      " 2.98 3.69 2.57 2.05 3.96 5.17 4.94 3.47 4.27 4.22 3.81 2.15 2.6  4.01\n",
      " 1.47 2.14 3.26 5.54 5.36 3.84 2.   2.3  4.74 4.17 2.16 3.74 3.58 4.39\n",
      " 4.64 3.35 1.98 2.43 4.89 3.28 4.69 1.82 2.32 5.27 3.23 2.46 2.91 4.54\n",
      " 3.77 3.82 1.87 2.06 1.99 5.69 4.12 5.16 4.59 1.84 2.34 2.08 5.39 2.18\n",
      " 5.26 5.34 5.   1.89 5.11 1.77 4.44 2.02 3.87 2.01 3.89 2.04 3.67 4.09\n",
      " 5.14]\n",
      "-----------------------------------------\n",
      "AS1_SPFEVP FEV_predicted@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 1.9600e+00 2.4000e+00 2.7400e+00 3.5600e+00 2.4500e+00\n",
      " 3.2100e+00 2.5100e+00 1.3400e+00 1.8700e+00 2.7800e+00 3.1800e+00\n",
      " 2.7600e+00 3.1900e+00 2.2800e+00 2.0000e+00 2.9000e+00 1.6400e+00\n",
      " 2.6500e+00 2.9900e+00 3.2800e+00 1.3300e+00 3.6500e+00 3.0900e+00\n",
      " 3.5900e+00 1.6700e+00 3.5300e+00 1.9500e+00 2.1100e+00 3.4100e+00\n",
      " 3.4400e+00 2.5600e+00 3.1200e+00 2.1000e+00 1.9400e+00 3.4000e+00\n",
      " 2.7900e+00 2.7300e+00 1.9000e+00 2.0500e+00 2.2600e+00 1.7400e+00\n",
      " 2.4900e+00 9.9999e+04 2.3000e+00 2.6800e+00 2.3800e+00 2.4200e+00\n",
      " 3.0800e+00 3.9600e+00 1.6300e+00 3.1600e+00 2.9600e+00 2.8600e+00\n",
      " 3.2700e+00 2.8400e+00 3.1500e+00 2.1600e+00 2.4700e+00 2.6300e+00\n",
      " 2.9700e+00 3.5500e+00 3.7100e+00 2.6900e+00 2.6100e+00 1.5900e+00\n",
      " 2.1300e+00 3.0400e+00 2.5500e+00 2.2200e+00 2.0600e+00 3.4200e+00\n",
      " 3.1400e+00 3.1100e+00 2.5800e+00 1.6800e+00 1.9800e+00 3.3400e+00\n",
      " 2.2000e+00 2.9200e+00 2.2900e+00 1.8600e+00 1.8100e+00 1.7300e+00\n",
      " 1.8500e+00 1.8000e+00 2.3600e+00 2.5900e+00 2.6600e+00 3.4600e+00\n",
      " 2.1700e+00 1.5300e+00 3.6800e+00 2.3300e+00 2.1400e+00 1.4300e+00\n",
      " 3.7200e+00 2.3400e+00 2.1900e+00 3.3100e+00 2.7100e+00 2.4400e+00\n",
      " 1.8300e+00 3.2000e+00 2.6000e+00 2.6400e+00 3.2200e+00 3.5200e+00\n",
      " 3.3200e+00 1.8200e+00 2.7000e+00 2.8000e+00 3.0000e+00 1.9100e+00\n",
      " 2.8900e+00 3.3600e+00 3.5000e+00 2.1800e+00 1.9700e+00 2.0200e+00\n",
      " 1.9200e+00 2.2700e+00 3.3000e+00 2.2400e+00 3.0500e+00 3.3300e+00\n",
      " 3.5800e+00 2.0400e+00 3.1700e+00 1.4400e+00 2.8700e+00 2.6700e+00\n",
      " 2.0700e+00 2.4100e+00 2.7700e+00 2.5200e+00 2.3200e+00 1.9900e+00\n",
      " 3.3500e+00 2.3500e+00 3.0600e+00 1.7700e+00 3.4800e+00 3.0200e+00\n",
      " 2.5000e+00 3.9000e+00 3.7800e+00 2.3900e+00 2.0300e+00 3.4700e+00\n",
      " 3.7400e+00 3.8100e+00 1.5400e+00 1.8400e+00 2.0900e+00 2.9800e+00\n",
      " 2.8500e+00 1.1700e+00 3.6200e+00 2.0100e+00 2.7500e+00 1.7200e+00\n",
      " 2.0800e+00 3.2500e+00 2.4600e+00 2.5400e+00 2.3100e+00 1.8800e+00\n",
      " 3.3700e+00 3.0700e+00 3.8400e+00 2.3700e+00 3.2600e+00 3.4300e+00\n",
      " 2.8300e+00 1.7900e+00 3.8000e+00 3.2400e+00 1.6900e+00 1.6200e+00\n",
      " 3.1300e+00 1.7600e+00 2.1500e+00 1.4700e+00 1.5600e+00 3.8700e+00\n",
      " 2.9300e+00 1.9300e+00 3.4500e+00 2.1200e+00 3.4900e+00 1.5700e+00\n",
      " 3.9300e+00 2.2300e+00 3.7700e+00 2.6200e+00 1.5800e+00 1.6500e+00\n",
      " 3.7600e+00 2.9500e+00 1.6100e+00 3.0300e+00 3.6400e+00 1.1900e+00\n",
      " 2.4800e+00 1.3500e+00 2.8200e+00 1.6600e+00 2.7200e+00 1.7800e+00\n",
      " 2.2100e+00 3.3800e+00 2.2500e+00 4.0800e+00 1.8900e+00 3.3900e+00\n",
      " 1.4200e+00 3.8600e+00 3.0100e+00 1.5500e+00 9.7000e-01 1.5200e+00\n",
      " 1.7100e+00 2.4300e+00 4.1400e+00 4.0200e+00 3.1000e+00 1.4000e+00\n",
      " 2.8800e+00 1.5100e+00 2.9100e+00 1.5000e+00 1.4900e+00 2.9400e+00\n",
      " 3.2900e+00 2.5300e+00 1.3800e+00 3.6100e+00 2.8100e+00 1.2400e+00\n",
      " 3.9900e+00 1.4500e+00 1.2900e+00 1.4100e+00 4.2400e+00 1.7000e+00\n",
      " 3.6600e+00 3.2300e+00 1.2600e+00 1.7500e+00 4.0500e+00 3.8900e+00\n",
      " 1.2700e+00 1.4800e+00 1.3100e+00 1.3200e+00 1.3000e+00 3.7000e+00\n",
      " 1.2200e+00 3.5400e+00 1.3900e+00 3.9800e+00 3.6700e+00 2.5700e+00\n",
      " 3.8300e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  33 , conversion unique [ nan 1.96 2.4  2.74 3.56 2.45 3.21 2.51 1.34 1.87 2.78 3.18 2.76 3.19\n",
      " 2.28 2.   2.9  1.64 2.65 2.99 3.28 1.33 3.65 3.09 3.59 1.67 3.53 1.95\n",
      " 2.11 3.41 3.44 2.56 3.12 2.1  1.94 3.4  2.79 2.73 1.9  2.05 2.26 1.74\n",
      " 2.49 2.3  2.68 2.38 2.42 3.08 3.96 1.63 3.16 2.96 2.86 3.27 2.84 3.15\n",
      " 2.16 2.47 2.63 2.97 3.55 3.71 2.69 2.61 1.59 2.13 3.04 2.55 2.22 2.06\n",
      " 3.42 3.14 3.11 2.58 1.68 1.98 3.34 2.2  2.92 2.29 1.86 1.81 1.73 1.85\n",
      " 1.8  2.36 2.59 2.66 3.46 2.17 1.53 3.68 2.33 2.14 1.43 3.72 2.34 2.19\n",
      " 3.31 2.71 2.44 1.83 3.2  2.6  2.64 3.22 3.52 3.32 1.82 2.7  2.8  3.\n",
      " 1.91 2.89 3.36 3.5  2.18 1.97 2.02 1.92 2.27 3.3  2.24 3.05 3.33 3.58\n",
      " 2.04 3.17 1.44 2.87 2.67 2.07 2.41 2.77 2.52 2.32 1.99 3.35 2.35 3.06\n",
      " 1.77 3.48 3.02 2.5  3.9  3.78 2.39 2.03 3.47 3.74 3.81 1.54 1.84 2.09\n",
      " 2.98 2.85 1.17 3.62 2.01 2.75 1.72 2.08 3.25 2.46 2.54 2.31 1.88 3.37\n",
      " 3.07 3.84 2.37 3.26 3.43 2.83 1.79 3.8  3.24 1.69 1.62 3.13 1.76 2.15\n",
      " 1.47 1.56 3.87 2.93 1.93 3.45 2.12 3.49 1.57 3.93 2.23 3.77 2.62 1.58\n",
      " 1.65 3.76 2.95 1.61 3.03 3.64 1.19 2.48 1.35 2.82 1.66 2.72 1.78 2.21\n",
      " 3.38 2.25 4.08 1.89 3.39 1.42 3.86 3.01 1.55 0.97 1.52 1.71 2.43 4.14\n",
      " 4.02 3.1  1.4  2.88 1.51 2.91 1.5  1.49 2.94 3.29 2.53 1.38 3.61 2.81\n",
      " 1.24 3.99 1.45 1.29 1.41 4.24 1.7  3.66 3.23 1.26 1.75 4.05 3.89 1.27\n",
      " 1.48 1.31 1.32 1.3  3.7  1.22 3.54 1.39 3.98 3.67 2.57 3.83]\n",
      "-----------------------------------------\n",
      "AS1_SPFEV_FVCP FEV_over_FVC_predicted@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 7.3000e+01 7.5000e+01 7.2000e+01 7.6000e+01 7.7000e+01\n",
      " 7.4000e+01 7.1000e+01 7.0000e+01 9.9999e+04 7.8000e+01 6.9000e+01\n",
      " 7.9000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [nan 73. 75. 72. 76. 77. 74. 71. 70. 78. 69. 79.]\n",
      "-----------------------------------------\n",
      "AS1_SPMVVP MVV_predicted@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 8.8000e+01 9.9000e+01 1.2100e+02 1.5300e+02 1.0600e+02\n",
      " 1.3900e+02 9.1000e+01 9.3000e+01 1.2300e+02 1.3800e+02 1.2200e+02\n",
      " 1.0300e+02 9.2000e+01 1.2700e+02 8.6000e+01 1.1800e+02 1.3100e+02\n",
      " 1.4200e+02 8.5000e+01 1.5600e+02 1.3500e+02 1.5400e+02 8.7000e+01\n",
      " 1.5200e+02 9.0000e+01 1.4700e+02 1.0800e+02 1.4900e+02 1.3600e+02\n",
      " 9.5000e+01 1.0400e+02 1.2000e+02 8.9000e+01 1.1200e+02 9.9999e+04\n",
      " 1.0500e+02 1.1900e+02 1.0900e+02 1.3400e+02 1.6700e+02 1.3000e+02\n",
      " 1.2600e+02 1.4100e+02 1.2500e+02 1.3700e+02 1.0000e+02 1.0100e+02\n",
      " 1.5800e+02 1.1600e+02 1.1400e+02 9.6000e+01 1.4400e+02 9.8000e+01\n",
      " 1.2800e+02 1.0700e+02 9.7000e+01 1.5700e+02 1.4500e+02 1.5900e+02\n",
      " 1.0200e+02 1.1700e+02 1.4000e+02 1.5100e+02 1.3200e+02 9.4000e+01\n",
      " 1.4300e+02 1.3300e+02 1.6500e+02 1.6100e+02 1.6200e+02 1.4800e+02\n",
      " 1.5500e+02 1.5000e+02 1.1300e+02 1.4600e+02 1.6300e+02 1.6400e+02\n",
      " 1.6000e+02 8.4000e+01 1.6600e+02 1.2900e+02 1.1500e+02 1.1100e+02\n",
      " 1.2400e+02 1.1000e+02 1.7200e+02 1.7400e+02 1.7000e+02 1.6900e+02\n",
      " 8.3000e+01 1.6800e+02 1.7800e+02 1.7100e+02 7.7000e+01]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ nan  88.  99. 121. 153. 106. 139.  91.  93. 123. 138. 122. 103.  92.\n",
      " 127.  86. 118. 131. 142.  85. 156. 135. 154.  87. 152.  90. 147. 108.\n",
      " 149. 136.  95. 104. 120.  89. 112. 105. 119. 109. 134. 167. 130. 126.\n",
      " 141. 125. 137. 100. 101. 158. 116. 114.  96. 144.  98. 128. 107.  97.\n",
      " 157. 145. 159. 102. 117. 140. 151. 132.  94. 143. 133. 165. 161. 162.\n",
      " 148. 155. 150. 113. 146. 163. 164. 160.  84. 166. 129. 115. 111. 124.\n",
      " 110. 172. 174. 170. 169.  83. 168. 178. 171.  77.]\n",
      "-----------------------------------------\n",
      "AS1_DS bone_density_distal_sos@(x!=66666)&(x!=77777)&(x!=99999)@x [   nan  4251.  3963.  4112.  4100.  4468.  4151.  3977. 99999.  4179.\n",
      "  4249.  4395.  4390.  4058.  3971.  4315.  3886.  4223.  4052.  4348.\n",
      "  4190.  4029.  4009.  4013.  4154.  4236.  4104.  4065.  4230.  4123.\n",
      "  4233.  4218.  3855.  4182.  4046.  4025.  4051.  4028.  4234.  4105.\n",
      "  4244.  4143.  4333.  4304.  3899.  4347.  4147.  4016.  4015.  4080.\n",
      "  4097.  4138.  4176.  4297.  4289.  4031.  4227.  4113.  4035.  3981.\n",
      "  4364.  4186.  3967.  4455.  4023.  4483.  4250.  4197.  4205.  4241.\n",
      "  4007.  4034.  3995.  4278.  3867.  4253.  3860.  4204.  4433.  4451.\n",
      "  3731.  4139.  4199.  4362.  4181.  4212.  4174.  4183.  4391.  4340.\n",
      "  4422.  4075.  4512.  4114.  4248.  4126.  4327.  4159.  4122.  4252.\n",
      "  4167.  4374.  4477.  3993.  4266.  4383.  4286.  4127.  4137.  4281.\n",
      "  4192.  4081.  4260.  3939.  4320.  4524.  4155.  4323.  3881.  3799.\n",
      "  4109.  4153.  4022.  4149.  4256.  4535.  4188.  4171.  4335.  4071.\n",
      "  4222.  4017.  4191.  3745.  4019.  4119.  4124.  4615.  4195.  4270.\n",
      "  3757.  4626.  4001.  4200.  4108.  4084.  4287.  4486.  4332.  4169.\n",
      "  4088.  4298.  4068.  4301.  4438.  4140.  4290.  4219.  4552.  4240.\n",
      "  3878.  4093.  4345.  4134.  3773.  3983.  4296.  3982.  4271.  4295.\n",
      "  4129.  4061.  3827.  4231.  4175.  3896.  4566.  3720.  4184.  4177.\n",
      "  4367.  4338.  4162.  4120.  4089.  4194.  4360.  4305.  4394.  4026.\n",
      "  4135.  4203.  4040.  4450.  4054.  4497.  4388.  4021.  4545.  4371.\n",
      "  3992.  4268.  4020.  4350.  4116.  4118.  4145.  4355.  4069.  4337.\n",
      "  4060.  4064.  4370.  4245.  4201.  4076.  4445.  4380.  4042.  4412.\n",
      "  4053.  4311.  4272.  4098.  4485.  4282.  4132.  4056.  4128.  3900.\n",
      "  4255.  4254.  4041.  4044.  4363.  3984.  3882.  4349.  4692.  4187.\n",
      "  4526.  4264.  4404.  3854.  3918.  3840.  4003.  4220.  4141.  4237.\n",
      "  4303.  4273.  4279.  3975.  4353.  4095.  4416.  4314.  3985.  4235.\n",
      "  4437.  3996.  4101.  3791.  3962.  4010.  4217.  4328.  4006.  4274.\n",
      "  3680.  3934.  4157.  3997.  4172.  4418.  4300.  3986.  4285.  4107.\n",
      "  4541.  4156.  4482.  3956.  4077.  4144.  3798.  4591.  4247.  4099.\n",
      "  4038.  4263.  4316.  3797.  4434.  3980.  3955.  4146.  4158.  3951.\n",
      "  4215.  3816.  4072.  4339.  4082.  4070.  4267.  3952.  3990.  4004.\n",
      "  4334.  4516.  4133.  4221.  4059.  4178.  4294.  4393.  3856.  4131.\n",
      "  3837.  4280.  4306.  4243.  4365.  4206.  4361.  3994.  4214.  3964.\n",
      "  4299.  4440.  4242.  4419.  4086.  3987.  4560.  3946.  4359.  4066.\n",
      "  4166.  4257.  4322.  4375.  4110.  4225.  4202.  4521.  3710.  4411.\n",
      "  4307.  3904.  4277.  4283.  4106.  4121.  4518.  4324.  3717.  4376.\n",
      "  4514.  4342.  4087.  4067.  4352.  3979.  4313.  4321.  3957.  4463.\n",
      "  3683.  4430.  4284.  4238.  3973.  4293.  4096.  4163.  4160.  4396.\n",
      "  4209.  3960.  4379.  4083.  4224.  4239.  4356.  3866.  4398.  4189.\n",
      "  4170.  3953.  3806.  4198.  4490.  3897.  3966.  4032.  4308.  4012.\n",
      "  3948.  4196.  4326.  4325.  4136.  4047.  4288.  4373.  4385.  3830.\n",
      "  4401.  3746.  4115.  4148.  4018.  3932.  3718.  4180.  3970.  4759.\n",
      "  4417.  3965.  4168.  4091.  4558.  3811.  3972.  4036.  4226.  3931.\n",
      "  3889.  4117.  4382.  4312.  3938.  4216.  3646.  4048.  3916.  3930.\n",
      "  4372.  4550.  4341.  4232.  4465.  3942.  4208.  3974.  4377.  3998.\n",
      "  4111.  3947.  4354.  3818.  4549.  3940.  4011.  4578.  4491.  3560.\n",
      "  4063.  4161.  4002.  4317.  4033.  4573.  3999.  4173.  4103.  3870.\n",
      "  4399.  4368.  4473.  4389.  4045.  4258.  4336.  4211.  4577.  4358.\n",
      "  4073.  3851.  4185.  4050.  4193.  3959.  3785.  3861.  4447.  4474.\n",
      "  4690.  3928.  4310.  4062.  4423.  4346.  4427.  3895.  4142.  3872.\n",
      "  3978.  3924.  4527.  3954.  3913.  4569.  4269.  4678.  4292.  4605.\n",
      "  4421.  4043.  4414.  4000.  3927.  4265.  4563.  4039.  3941.  4435.\n",
      "  4441.  3677.  3919.  4574.  3893.  3801.  4229.  3892.  3845.  4150.\n",
      "  4444.  3915.  4329.  4590.  4165.  4386.  4079.  4090.  4330.  4653.\n",
      "  4387.  4627.  4302.  3914.  3908.  4499.  4449.  4520.  3937.  4094.\n",
      "  4443.  3909.  3911.  3906.  4055.  3943.  4432.  4536.  3989.  4210.\n",
      "  3949.  4164.  4369.  4207.  4014.  4611.  4454.  3671.  4464.  4074.\n",
      "  4413.  4291.  3821.  4037.  4466.  4601.  4531.  3950.  4481.  3885.\n",
      "  3835.  3800.  4309.  4484.  3884.  4424.  4467.  3894.  3902.  4213.\n",
      "  4689.  3991.  4005.  4523.  4415.  4503.  3912.  3883.  4426.  4262.\n",
      "  3809.  4530.  3815.  4381.  3599.  4246.  4410.  4612.  4092.  3935.\n",
      "  4446.  4598.  4675.  3976.  3734.  4487.  3921.  4540.  4462.  3852.\n",
      "  3813.  4008.  4403.  4228.  4078.  3968.  4457.  3961.  3789.  3920.\n",
      "  3660.  4635.  4624.  4442.  4602.  3877.  3988.  4409.  3790.  3768.\n",
      "  4583.  3780.  4475.  4152.  4378.  4502.  4581.  4351.  4130.  3922.\n",
      "  4533.  4429.  3905.  4436.  3736.  3925.  3910.  3749.  4125.  3917.\n",
      "  4673.  4655.  3703.  4344.  3760.  4343.  3898.  3687.  4458.  4538.\n",
      "  4318.  3891.  4030.  4561.  4400.  4276.  3831.  3958.  4319.  4261.\n",
      "  4461.  4471.  4522.  4024.  4049.  3832.  4670.  4480.  3887.  3879.\n",
      "  4027.  3864.  4693.  4532.  4392.  4407.  3969.  3778.  4476.  4498.\n",
      "  4510.  4259.  4669.  4057.  4085.  3826.  4275.  3874.  3929.  4554.\n",
      "  4460.  4408.  3923.  3756.  3805.  3944.  3888.  3903.  3890.  3858.\n",
      "  3844.  4448.  4650.  4651.  3907.  3695.  4679.  4659.  4384.  4452.\n",
      "  4564.  4666.  4496.  3936.  3765.  3823.  3859.  4366.  4428.  3871.\n",
      "  3880.  3868.  4102.  3712.  4402.  4453.  4331.  3747.  3825.  3706.\n",
      "  4649.  3783.  4488.  3767.  4470.  4588.  4515.  3849.  4572.  3846.\n",
      "  4511.  3873.  3808.  4493.  4456.  4494.  4625.  4431.  4397.  4621.\n",
      "  4594.  3842.  4592.  4507.  4357.  4547.  3901.  4528.  4617.  3857.\n",
      "  3742.  4542.  3617.  3933.  4672.  4439.  3853.  3820.  4508.  4472.\n",
      "  4587.  3781.  3762.  3819.  3594.  4695.  3814.  3834.  3602.  3766.\n",
      "  4603.  4599.  3822.  4681.  4639.  4501.  3795.  4640.  3682.  3777.\n",
      "  4529.  4489.  3709.  3719.  4513.  4420.  4600.  4632.  3869.  3571.\n",
      "  4509.  4478.  4683.  4567.  4565.  4586.  3926.  3784.  4519.  3750.\n",
      "  4676.  3786.  4469.  4562.  4568.  4584.  3643.  3527.  3725.  4505.\n",
      "  4544.  4459.  3692.  3810.  3841.  4559.  3862.  3684.  3847.  3945.\n",
      "  4406.  3828.  3875.  3755.  3794.  4500.  4654.  3483.  3812.  3753.\n",
      "  3792.  3758.  4405.  4597.  4492.  4696.  4506.  4648.  4570.  4576.\n",
      "  3673.  3850.  4647.  3601.  4664.  3807.  3863.  3876.  3738.  4539.\n",
      "  4495.  3804.  3865.  4694.  4534.  3730.  4425.  3763.  4537.  3722.\n",
      "  3721.  3829.  4610.  3836.  4551.  3770.  4553.  3713.]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan 4251. 3963. 4112. 4100. 4468. 4151. 3977. 4179. 4249. 4395. 4390.\n",
      " 4058. 3971. 4315. 3886. 4223. 4052. 4348. 4190. 4029. 4009. 4013. 4154.\n",
      " 4236. 4104. 4065. 4230. 4123. 4233. 4218. 3855. 4182. 4046. 4025. 4051.\n",
      " 4028. 4234. 4105. 4244. 4143. 4333. 4304. 3899. 4347. 4147. 4016. 4015.\n",
      " 4080. 4097. 4138. 4176. 4297. 4289. 4031. 4227. 4113. 4035. 3981. 4364.\n",
      " 4186. 3967. 4455. 4023. 4483. 4250. 4197. 4205. 4241. 4007. 4034. 3995.\n",
      " 4278. 3867. 4253. 3860. 4204. 4433. 4451. 3731. 4139. 4199. 4362. 4181.\n",
      " 4212. 4174. 4183. 4391. 4340. 4422. 4075. 4512. 4114. 4248. 4126. 4327.\n",
      " 4159. 4122. 4252. 4167. 4374. 4477. 3993. 4266. 4383. 4286. 4127. 4137.\n",
      " 4281. 4192. 4081. 4260. 3939. 4320. 4524. 4155. 4323. 3881. 3799. 4109.\n",
      " 4153. 4022. 4149. 4256. 4535. 4188. 4171. 4335. 4071. 4222. 4017. 4191.\n",
      " 3745. 4019. 4119. 4124. 4615. 4195. 4270. 3757. 4626. 4001. 4200. 4108.\n",
      " 4084. 4287. 4486. 4332. 4169. 4088. 4298. 4068. 4301. 4438. 4140. 4290.\n",
      " 4219. 4552. 4240. 3878. 4093. 4345. 4134. 3773. 3983. 4296. 3982. 4271.\n",
      " 4295. 4129. 4061. 3827. 4231. 4175. 3896. 4566. 3720. 4184. 4177. 4367.\n",
      " 4338. 4162. 4120. 4089. 4194. 4360. 4305. 4394. 4026. 4135. 4203. 4040.\n",
      " 4450. 4054. 4497. 4388. 4021. 4545. 4371. 3992. 4268. 4020. 4350. 4116.\n",
      " 4118. 4145. 4355. 4069. 4337. 4060. 4064. 4370. 4245. 4201. 4076. 4445.\n",
      " 4380. 4042. 4412. 4053. 4311. 4272. 4098. 4485. 4282. 4132. 4056. 4128.\n",
      " 3900. 4255. 4254. 4041. 4044. 4363. 3984. 3882. 4349. 4692. 4187. 4526.\n",
      " 4264. 4404. 3854. 3918. 3840. 4003. 4220. 4141. 4237. 4303. 4273. 4279.\n",
      " 3975. 4353. 4095. 4416. 4314. 3985. 4235. 4437. 3996. 4101. 3791. 3962.\n",
      " 4010. 4217. 4328. 4006. 4274. 3680. 3934. 4157. 3997. 4172. 4418. 4300.\n",
      " 3986. 4285. 4107. 4541. 4156. 4482. 3956. 4077. 4144. 3798. 4591. 4247.\n",
      " 4099. 4038. 4263. 4316. 3797. 4434. 3980. 3955. 4146. 4158. 3951. 4215.\n",
      " 3816. 4072. 4339. 4082. 4070. 4267. 3952. 3990. 4004. 4334. 4516. 4133.\n",
      " 4221. 4059. 4178. 4294. 4393. 3856. 4131. 3837. 4280. 4306. 4243. 4365.\n",
      " 4206. 4361. 3994. 4214. 3964. 4299. 4440. 4242. 4419. 4086. 3987. 4560.\n",
      " 3946. 4359. 4066. 4166. 4257. 4322. 4375. 4110. 4225. 4202. 4521. 3710.\n",
      " 4411. 4307. 3904. 4277. 4283. 4106. 4121. 4518. 4324. 3717. 4376. 4514.\n",
      " 4342. 4087. 4067. 4352. 3979. 4313. 4321. 3957. 4463. 3683. 4430. 4284.\n",
      " 4238. 3973. 4293. 4096. 4163. 4160. 4396. 4209. 3960. 4379. 4083. 4224.\n",
      " 4239. 4356. 3866. 4398. 4189. 4170. 3953. 3806. 4198. 4490. 3897. 3966.\n",
      " 4032. 4308. 4012. 3948. 4196. 4326. 4325. 4136. 4047. 4288. 4373. 4385.\n",
      " 3830. 4401. 3746. 4115. 4148. 4018. 3932. 3718. 4180. 3970. 4759. 4417.\n",
      " 3965. 4168. 4091. 4558. 3811. 3972. 4036. 4226. 3931. 3889. 4117. 4382.\n",
      " 4312. 3938. 4216. 3646. 4048. 3916. 3930. 4372. 4550. 4341. 4232. 4465.\n",
      " 3942. 4208. 3974. 4377. 3998. 4111. 3947. 4354. 3818. 4549. 3940. 4011.\n",
      " 4578. 4491. 3560. 4063. 4161. 4002. 4317. 4033. 4573. 3999. 4173. 4103.\n",
      " 3870. 4399. 4368. 4473. 4389. 4045. 4258. 4336. 4211. 4577. 4358. 4073.\n",
      " 3851. 4185. 4050. 4193. 3959. 3785. 3861. 4447. 4474. 4690. 3928. 4310.\n",
      " 4062. 4423. 4346. 4427. 3895. 4142. 3872. 3978. 3924. 4527. 3954. 3913.\n",
      " 4569. 4269. 4678. 4292. 4605. 4421. 4043. 4414. 4000. 3927. 4265. 4563.\n",
      " 4039. 3941. 4435. 4441. 3677. 3919. 4574. 3893. 3801. 4229. 3892. 3845.\n",
      " 4150. 4444. 3915. 4329. 4590. 4165. 4386. 4079. 4090. 4330. 4653. 4387.\n",
      " 4627. 4302. 3914. 3908. 4499. 4449. 4520. 3937. 4094. 4443. 3909. 3911.\n",
      " 3906. 4055. 3943. 4432. 4536. 3989. 4210. 3949. 4164. 4369. 4207. 4014.\n",
      " 4611. 4454. 3671. 4464. 4074. 4413. 4291. 3821. 4037. 4466. 4601. 4531.\n",
      " 3950. 4481. 3885. 3835. 3800. 4309. 4484. 3884. 4424. 4467. 3894. 3902.\n",
      " 4213. 4689. 3991. 4005. 4523. 4415. 4503. 3912. 3883. 4426. 4262. 3809.\n",
      " 4530. 3815. 4381. 3599. 4246. 4410. 4612. 4092. 3935. 4446. 4598. 4675.\n",
      " 3976. 3734. 4487. 3921. 4540. 4462. 3852. 3813. 4008. 4403. 4228. 4078.\n",
      " 3968. 4457. 3961. 3789. 3920. 3660. 4635. 4624. 4442. 4602. 3877. 3988.\n",
      " 4409. 3790. 3768. 4583. 3780. 4475. 4152. 4378. 4502. 4581. 4351. 4130.\n",
      " 3922. 4533. 4429. 3905. 4436. 3736. 3925. 3910. 3749. 4125. 3917. 4673.\n",
      " 4655. 3703. 4344. 3760. 4343. 3898. 3687. 4458. 4538. 4318. 3891. 4030.\n",
      " 4561. 4400. 4276. 3831. 3958. 4319. 4261. 4461. 4471. 4522. 4024. 4049.\n",
      " 3832. 4670. 4480. 3887. 3879. 4027. 3864. 4693. 4532. 4392. 4407. 3969.\n",
      " 3778. 4476. 4498. 4510. 4259. 4669. 4057. 4085. 3826. 4275. 3874. 3929.\n",
      " 4554. 4460. 4408. 3923. 3756. 3805. 3944. 3888. 3903. 3890. 3858. 3844.\n",
      " 4448. 4650. 4651. 3907. 3695. 4679. 4659. 4384. 4452. 4564. 4666. 4496.\n",
      " 3936. 3765. 3823. 3859. 4366. 4428. 3871. 3880. 3868. 4102. 3712. 4402.\n",
      " 4453. 4331. 3747. 3825. 3706. 4649. 3783. 4488. 3767. 4470. 4588. 4515.\n",
      " 3849. 4572. 3846. 4511. 3873. 3808. 4493. 4456. 4494. 4625. 4431. 4397.\n",
      " 4621. 4594. 3842. 4592. 4507. 4357. 4547. 3901. 4528. 4617. 3857. 3742.\n",
      " 4542. 3617. 3933. 4672. 4439. 3853. 3820. 4508. 4472. 4587. 3781. 3762.\n",
      " 3819. 3594. 4695. 3814. 3834. 3602. 3766. 4603. 4599. 3822. 4681. 4639.\n",
      " 4501. 3795. 4640. 3682. 3777. 4529. 4489. 3709. 3719. 4513. 4420. 4600.\n",
      " 4632. 3869. 3571. 4509. 4478. 4683. 4567. 4565. 4586. 3926. 3784. 4519.\n",
      " 3750. 4676. 3786. 4469. 4562. 4568. 4584. 3643. 3527. 3725. 4505. 4544.\n",
      " 4459. 3692. 3810. 3841. 4559. 3862. 3684. 3847. 3945. 4406. 3828. 3875.\n",
      " 3755. 3794. 4500. 4654. 3483. 3812. 3753. 3792. 3758. 4405. 4597. 4492.\n",
      " 4696. 4506. 4648. 4570. 4576. 3673. 3850. 4647. 3601. 4664. 3807. 3863.\n",
      " 3876. 3738. 4539. 4495. 3804. 3865. 4694. 4534. 3730. 4425. 3763. 4537.\n",
      " 3722. 3721. 3829. 4610. 3836. 4551. 3770. 4553. 3713.]\n",
      "-----------------------------------------\n",
      "AS1_MS bone_density_midshaft_sos@(x!=66666)&(x!=77777)&(x!=99999)@x [   nan  4348.  3998.  3890.  3929.  4065.  3979.  3828.  3832.  3808.\n",
      "  3855.  3930.  3954.  4132.  3927.  3846.  3944.  4094.  3921.  3776.\n",
      "  4084.  4318.  3279.  3939.  3986.  4135.  3633.  4021.  4074.  3922.\n",
      "  3566.  4057.  4007.  4030.  3945.  3926.  4051.  3481.  4185.  4009.\n",
      "  3817.  3744.  3889.  3873.  3752. 99999.  3766.  3772.  3394.  3967.\n",
      "  3745.  3955.  4010.  4088.  3999.  3668.  4034.  4236.  3974.  3773.\n",
      "  3878.  3786.  3981.  4080.  3820.  3912.  3580.  3902.  3960.  4096.\n",
      "  3925.  4100.  3953.  3928.  3937.  3686.  4008.  3393.  4001.  3899.\n",
      "  3924.  4112.  4115.  3913.  4041.  3915.  3803.  3851.  4213.  3836.\n",
      "  4204.  4000.  3760.  3905.  3982.  3946.  3963.  3654.  4097.  3705.\n",
      "  3572.  3783.  3798.  4071.  4042.  3862.  3717.  3595.  4216.  3713.\n",
      "  4174.  4211.  4121.  4296.  3991.  4148.  3852.  4033.  3847.  3543.\n",
      "  4060.  3615.  3996.  4119.  3914.  4011.  3972.  3831.  4045.  3848.\n",
      "  3983.  3863.  3968.  3762.  4212.  3838.  4070.  3958.  3951.  4209.\n",
      "  3872.  3856.  3591.  3934.  3877.  4136.  4016.  3985.  3888.  4116.\n",
      "  3814.  3884.  4077.  3920.  4002.  3869.  3612.  3850.  3588.  4194.\n",
      "  4076.  3897.  3796.  3788.  3738.  3956.  4127.  4014.  4049.  3747.\n",
      "  3721.  3775.  3901.  3858.  3880.  3907.  3750.  3952.  3740.  3765.\n",
      "  3823.  3976.  3689.  3941.  3891.  3822.  4005.  3895.  4052.  3677.\n",
      "  3841.  3879.  4187.  3757.  3860.  3604.  3870.  3887.  4064.  4161.\n",
      "  4171.  4176.  3885.  3990.  4124.  3942.  3843.  3724.  3791.  3413.\n",
      "  3785.  3797.  4073.  3782.  4069.  3871.  3886.  3768.  3854.  4157.\n",
      "  4075.  3935.  3710.  4237.  4035.  4056.  4040.  3702.  4137.  3682.\n",
      "  3816.  4104.  3964.  3961.  3722.  3918.  3365.  3671.  3701.  3764.\n",
      "  3840.  4223.  4123.  4184.  4024.  3610.  4160.  3792.  3564.  4081.\n",
      "  4037.  4091.  3623.  3957.  3904.  3811.  3627.  3987.  3695.  3793.\n",
      "  4169.  3606.  3767.  4146.  3669.  4068.  3989.  3716.  3973.  3659.\n",
      "  3949.  3699.  3950.  3733.  3756.  4018.  4113.  3896.  3720.  3965.\n",
      "  3825.  3969.  3824.  3753.  4086.  3634.  3626.  4153.  3892.  4131.\n",
      "  3794.  4019.  3751.  3859.  4025.  3550.  4298.  3898.  3693.  3769.\n",
      "  4055.  3690.  3687.  3844.  3882.  3917.  3723.  3631.  4017.  3936.\n",
      "  3978.  4053.  3711.  3818.  3718.  4111.  3658.  3809.  4133.  4164.\n",
      "  3598.  3719.  3881.  4048.  3943.  3787.  4027.  3993.  4047.  3874.\n",
      "  4022.  4031.  3684.  3827.  3861.  3708.  4165.  3868.  4309.  4098.\n",
      "  3700.  4078.  3997.  3908.  4079.  3618.  3910.  4036.  3845.  4028.\n",
      "  3616.  3774.  4129.  3893.  3575.  3647.  4144.  3933.  3755.  3672.\n",
      "  3601.  3656.  4004.  3641.  3812.  3801.  3940.  3932.  4013.  4214.\n",
      "  3728.  3639.  3660.  3835.  3876.  3911.  3617.  3688.  4015.  3984.\n",
      "  4114.  4067.  3735.  3966.  3866.  4039.  3916.  3833.  3597.  4195.\n",
      "  4110.  4032.  3528.  4229.  3962.  3975.  3360.  4012.  3778.  3994.\n",
      "  3781.  3676.  3680.  4046.  4150.  3531.  4089.  3749.  4062.  4058.\n",
      "  4170.  3883.  3931.  3741.  3947.  3670.  4054.  3516.  3600.  3582.\n",
      "  3758.  3977.  3736.  3784.  3625.  4023.  3842.  3632.  3473.  3731.\n",
      "  3574.  3970.  3771.  4222.  3732.  3770.  3815.  4140.  4072.  3642.\n",
      "  4050.  4138.  3826.  3839.  3795.  3480.  4059.  4085.  3594.  3761.\n",
      "  3857.  3980.  3637.  4066.  3777.  3988.  4087.  3353.  3400.  3703.\n",
      "  3837.  4128.  4083.  3419.  3706.  3829.  4120.  3807.  3518.  3821.\n",
      "  4038.  4241.  3501.  4151.  4003.  3715.  3867.  3971.  3923.  4401.\n",
      "  4190.  3681.  4044.  3643.  3726.  3734.  3849.  3707.  3906.  4006.\n",
      "  3834.  3992.  3729.  4281.  3697.  4192.  3780.  4092.  3739.  3789.\n",
      "  3694.  3900.  4117.  4154.  4102.  4093.  4225.  3628.  3524.  3418.\n",
      "  3754.  3800.  3746.  3663.  4063.  4263.  3806.  3583.  3662.  4167.\n",
      "  3648.  3678.  3743.  3813.  3853.  3653.  4255.  3571.  3525.  4026.\n",
      "  3799.  4168.  4106.  4101.  3560.  3529.  3894.  3779.  3903.  3704.\n",
      "  3865.  3565.  4141.  3683.  4183.  4149.  3742.  4029.  3727.  3523.\n",
      "  4284.  4109.  3790.  4189.  3938.  3995.  3919.  4103.  3959.  3948.\n",
      "  3667.  4369.  3709.  3692.  4156.  4082.  4179.  3805.  4234.  4178.\n",
      "  4126.  3613.  4145.  3714.  3621.  4043.  4200.  4108.  4242.  4199.\n",
      "  4118.  4090.  3512.  3691.  3611.  3875.  3759.  4020.  3587.  4197.\n",
      "  4247.  3607.  4315.  3356.  3522.  3640.  3534.  3593.  4279.  4224.\n",
      "  3477.  4206.  4061.  3864.  3725.  4301.  4287.  3655.  4125.  4275.\n",
      "  4095.  4107.  4177.  4166.  3748.  3579.  4191.  3499.  3603.  3544.\n",
      "  3555.  4143.  3609.  4252.  3082.  3552.  3909.  4182.  3630.  4289.\n",
      "  4249.  3485.  4221.  3830.  3730.  3651.  3451.  4198.  3810.  3698.\n",
      "  3466.  3674.  3635.  4158.  3737.  4196.  3624.  3620.  3520.  3645.\n",
      "  3804.  4290.  3636.  3562.  4250.  3490.  4175.  3665.  4328.  4463.\n",
      "  3541.  3551.  4105.  3596.  3535.  3484.  3328.  4351.  3644.  3679.\n",
      "  4142.  3567.  3605.  3802.  3649.  3409.  3763.  3511.  3506.  4321.\n",
      "  4122.  3819.  3581.  4130.  4218.  4276.  3377.  4193.  3474.  3546.\n",
      "  3542.  3445.  4305.  4205.  4245.  3696.  3326.  3592.  3578.  3532.\n",
      "  3646.  4316.  4159.  3495.  4243.  4333.  4099.  3573.  3515.  4162.\n",
      "  3586.  3666.  4269.  4340.  3563.  4239.  3556.  4299.  3446.  3514.\n",
      "  4332.  3456.  3661.  3538.  3487.  4323.  4208.  3619.  3584.  3471.\n",
      "  3558.  3629.  3657.  3500.  4244.  3517.  3576.  4292.  4254.  4134.\n",
      "  4188.  3599.  4139.  3652.  3712.  3493.  3438.  4300.  4387.  3548.\n",
      "  3568.  4912.  3614.  3510.  4232.  4207.  4266.  3386.  2047.  3504.\n",
      "  4152.  4181.  4322.  3415.  4264.  4186.  4313.  4220.  3416.  4472.\n",
      "  3460.  3513.  3371.  4180.  3507.  4288.  3437.  4217.  3545.  3369.\n",
      "  4172.  4320.  4240.  3675.  3462.  3638.  4235.  3452.  4163.  4262.\n",
      "  3407.  3450.  3664.  3561.  3559.  3539.  4302.  4203.  4251.  3470.\n",
      "  4273.  4219.  3421.  3585.  3557.  4173.  4274.  3508.  4285.  4231.\n",
      "  3673.  3489.  4291.  3429.  4155.  3420.  3608.  3622.  3488.  3349.\n",
      "  3590.  3509.  4227.  4233.  4421.  3549.  4265.  3547.  3498.  4278.\n",
      "  3589.  4286.  3398.  3569.  4226.  4697.  4371.  2986.  4228.]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [  nan 4348. 3998. 3890. 3929. 4065. 3979. 3828. 3832. 3808. 3855. 3930.\n",
      " 3954. 4132. 3927. 3846. 3944. 4094. 3921. 3776. 4084. 4318. 3279. 3939.\n",
      " 3986. 4135. 3633. 4021. 4074. 3922. 3566. 4057. 4007. 4030. 3945. 3926.\n",
      " 4051. 3481. 4185. 4009. 3817. 3744. 3889. 3873. 3752. 3766. 3772. 3394.\n",
      " 3967. 3745. 3955. 4010. 4088. 3999. 3668. 4034. 4236. 3974. 3773. 3878.\n",
      " 3786. 3981. 4080. 3820. 3912. 3580. 3902. 3960. 4096. 3925. 4100. 3953.\n",
      " 3928. 3937. 3686. 4008. 3393. 4001. 3899. 3924. 4112. 4115. 3913. 4041.\n",
      " 3915. 3803. 3851. 4213. 3836. 4204. 4000. 3760. 3905. 3982. 3946. 3963.\n",
      " 3654. 4097. 3705. 3572. 3783. 3798. 4071. 4042. 3862. 3717. 3595. 4216.\n",
      " 3713. 4174. 4211. 4121. 4296. 3991. 4148. 3852. 4033. 3847. 3543. 4060.\n",
      " 3615. 3996. 4119. 3914. 4011. 3972. 3831. 4045. 3848. 3983. 3863. 3968.\n",
      " 3762. 4212. 3838. 4070. 3958. 3951. 4209. 3872. 3856. 3591. 3934. 3877.\n",
      " 4136. 4016. 3985. 3888. 4116. 3814. 3884. 4077. 3920. 4002. 3869. 3612.\n",
      " 3850. 3588. 4194. 4076. 3897. 3796. 3788. 3738. 3956. 4127. 4014. 4049.\n",
      " 3747. 3721. 3775. 3901. 3858. 3880. 3907. 3750. 3952. 3740. 3765. 3823.\n",
      " 3976. 3689. 3941. 3891. 3822. 4005. 3895. 4052. 3677. 3841. 3879. 4187.\n",
      " 3757. 3860. 3604. 3870. 3887. 4064. 4161. 4171. 4176. 3885. 3990. 4124.\n",
      " 3942. 3843. 3724. 3791. 3413. 3785. 3797. 4073. 3782. 4069. 3871. 3886.\n",
      " 3768. 3854. 4157. 4075. 3935. 3710. 4237. 4035. 4056. 4040. 3702. 4137.\n",
      " 3682. 3816. 4104. 3964. 3961. 3722. 3918. 3365. 3671. 3701. 3764. 3840.\n",
      " 4223. 4123. 4184. 4024. 3610. 4160. 3792. 3564. 4081. 4037. 4091. 3623.\n",
      " 3957. 3904. 3811. 3627. 3987. 3695. 3793. 4169. 3606. 3767. 4146. 3669.\n",
      " 4068. 3989. 3716. 3973. 3659. 3949. 3699. 3950. 3733. 3756. 4018. 4113.\n",
      " 3896. 3720. 3965. 3825. 3969. 3824. 3753. 4086. 3634. 3626. 4153. 3892.\n",
      " 4131. 3794. 4019. 3751. 3859. 4025. 3550. 4298. 3898. 3693. 3769. 4055.\n",
      " 3690. 3687. 3844. 3882. 3917. 3723. 3631. 4017. 3936. 3978. 4053. 3711.\n",
      " 3818. 3718. 4111. 3658. 3809. 4133. 4164. 3598. 3719. 3881. 4048. 3943.\n",
      " 3787. 4027. 3993. 4047. 3874. 4022. 4031. 3684. 3827. 3861. 3708. 4165.\n",
      " 3868. 4309. 4098. 3700. 4078. 3997. 3908. 4079. 3618. 3910. 4036. 3845.\n",
      " 4028. 3616. 3774. 4129. 3893. 3575. 3647. 4144. 3933. 3755. 3672. 3601.\n",
      " 3656. 4004. 3641. 3812. 3801. 3940. 3932. 4013. 4214. 3728. 3639. 3660.\n",
      " 3835. 3876. 3911. 3617. 3688. 4015. 3984. 4114. 4067. 3735. 3966. 3866.\n",
      " 4039. 3916. 3833. 3597. 4195. 4110. 4032. 3528. 4229. 3962. 3975. 3360.\n",
      " 4012. 3778. 3994. 3781. 3676. 3680. 4046. 4150. 3531. 4089. 3749. 4062.\n",
      " 4058. 4170. 3883. 3931. 3741. 3947. 3670. 4054. 3516. 3600. 3582. 3758.\n",
      " 3977. 3736. 3784. 3625. 4023. 3842. 3632. 3473. 3731. 3574. 3970. 3771.\n",
      " 4222. 3732. 3770. 3815. 4140. 4072. 3642. 4050. 4138. 3826. 3839. 3795.\n",
      " 3480. 4059. 4085. 3594. 3761. 3857. 3980. 3637. 4066. 3777. 3988. 4087.\n",
      " 3353. 3400. 3703. 3837. 4128. 4083. 3419. 3706. 3829. 4120. 3807. 3518.\n",
      " 3821. 4038. 4241. 3501. 4151. 4003. 3715. 3867. 3971. 3923. 4401. 4190.\n",
      " 3681. 4044. 3643. 3726. 3734. 3849. 3707. 3906. 4006. 3834. 3992. 3729.\n",
      " 4281. 3697. 4192. 3780. 4092. 3739. 3789. 3694. 3900. 4117. 4154. 4102.\n",
      " 4093. 4225. 3628. 3524. 3418. 3754. 3800. 3746. 3663. 4063. 4263. 3806.\n",
      " 3583. 3662. 4167. 3648. 3678. 3743. 3813. 3853. 3653. 4255. 3571. 3525.\n",
      " 4026. 3799. 4168. 4106. 4101. 3560. 3529. 3894. 3779. 3903. 3704. 3865.\n",
      " 3565. 4141. 3683. 4183. 4149. 3742. 4029. 3727. 3523. 4284. 4109. 3790.\n",
      " 4189. 3938. 3995. 3919. 4103. 3959. 3948. 3667. 4369. 3709. 3692. 4156.\n",
      " 4082. 4179. 3805. 4234. 4178. 4126. 3613. 4145. 3714. 3621. 4043. 4200.\n",
      " 4108. 4242. 4199. 4118. 4090. 3512. 3691. 3611. 3875. 3759. 4020. 3587.\n",
      " 4197. 4247. 3607. 4315. 3356. 3522. 3640. 3534. 3593. 4279. 4224. 3477.\n",
      " 4206. 4061. 3864. 3725. 4301. 4287. 3655. 4125. 4275. 4095. 4107. 4177.\n",
      " 4166. 3748. 3579. 4191. 3499. 3603. 3544. 3555. 4143. 3609. 4252. 3082.\n",
      " 3552. 3909. 4182. 3630. 4289. 4249. 3485. 4221. 3830. 3730. 3651. 3451.\n",
      " 4198. 3810. 3698. 3466. 3674. 3635. 4158. 3737. 4196. 3624. 3620. 3520.\n",
      " 3645. 3804. 4290. 3636. 3562. 4250. 3490. 4175. 3665. 4328. 4463. 3541.\n",
      " 3551. 4105. 3596. 3535. 3484. 3328. 4351. 3644. 3679. 4142. 3567. 3605.\n",
      " 3802. 3649. 3409. 3763. 3511. 3506. 4321. 4122. 3819. 3581. 4130. 4218.\n",
      " 4276. 3377. 4193. 3474. 3546. 3542. 3445. 4305. 4205. 4245. 3696. 3326.\n",
      " 3592. 3578. 3532. 3646. 4316. 4159. 3495. 4243. 4333. 4099. 3573. 3515.\n",
      " 4162. 3586. 3666. 4269. 4340. 3563. 4239. 3556. 4299. 3446. 3514. 4332.\n",
      " 3456. 3661. 3538. 3487. 4323. 4208. 3619. 3584. 3471. 3558. 3629. 3657.\n",
      " 3500. 4244. 3517. 3576. 4292. 4254. 4134. 4188. 3599. 4139. 3652. 3712.\n",
      " 3493. 3438. 4300. 4387. 3548. 3568. 4912. 3614. 3510. 4232. 4207. 4266.\n",
      " 3386. 2047. 3504. 4152. 4181. 4322. 3415. 4264. 4186. 4313. 4220. 3416.\n",
      " 4472. 3460. 3513. 3371. 4180. 3507. 4288. 3437. 4217. 3545. 3369. 4172.\n",
      " 4320. 4240. 3675. 3462. 3638. 4235. 3452. 4163. 4262. 3407. 3450. 3664.\n",
      " 3561. 3559. 3539. 4302. 4203. 4251. 3470. 4273. 4219. 3421. 3585. 3557.\n",
      " 4173. 4274. 3508. 4285. 4231. 3673. 3489. 4291. 3429. 4155. 3420. 3608.\n",
      " 3622. 3488. 3349. 3590. 3509. 4227. 4233. 4421. 3549. 4265. 3547. 3498.\n",
      " 4278. 3589. 4286. 3398. 3569. 4226. 4697. 4371. 2986. 4228.]\n",
      "-----------------------------------------\n",
      "NC1_TOTPRT protein_in_blood@(x!=66666)&(x!=77777)&(x!=99999)@x [7.2000e+00 6.9000e+00 7.5000e+00 6.6666e+04 7.3000e+00 8.0000e+00\n",
      " 7.6000e+00 7.8000e+00 7.9000e+00 7.4000e+00 7.1000e+00 6.5000e+00\n",
      " 7.7000e+00 6.7000e+00 8.5000e+00 8.1000e+00 6.4000e+00 8.3000e+00\n",
      " 6.8000e+00 7.0000e+00 6.3000e+00 6.6000e+00 8.6000e+00 8.2000e+00\n",
      " 6.2000e+00 8.4000e+00 6.1000e+00 8.7000e+00 5.9000e+00 5.6000e+00\n",
      " 6.0000e+00 9.0000e+00 5.7000e+00 1.0200e+01        nan 8.8000e+00\n",
      " 9.5000e+00 4.1000e+00 5.8000e+00 8.9000e+00 9.9999e+04 9.2000e+00]\n",
      "# of filtered=1 before:  0\n",
      "# of filtered=2 after:  0 , conversion unique [ 7.2  6.9  7.5  nan  7.3  8.   7.6  7.8  7.9  7.4  7.1  6.5  7.7  6.7\n",
      "  8.5  8.1  6.4  8.3  6.8  7.   6.3  6.6  8.6  8.2  6.2  8.4  6.1  8.7\n",
      "  5.9  5.6  6.   9.   5.7 10.2  8.8  9.5  4.1  5.8  8.9  9.2]\n",
      "-----------------------------------------\n",
      "AS1_TOTPRT protein_in_blood@(x!=66666)&(x!=77777)&(x!=99999)@x [       nan 7.3000e+00 7.5000e+00 7.7000e+00 7.4000e+00 6.7000e+00\n",
      " 7.2000e+00 6.9000e+00 7.0000e+00 7.8000e+00 7.6000e+00 6.8000e+00\n",
      " 7.9000e+00 8.0000e+00 7.1000e+00 8.3000e+00 6.5000e+00 6.6000e+00\n",
      " 8.1000e+00 8.2000e+00 5.9000e+00 8.6000e+00 6.2000e+00 6.3000e+00\n",
      " 6.0000e+00 8.7000e+00 8.4000e+00 6.1000e+00 6.4000e+00 5.6000e+00\n",
      " 9.9000e+00 9.1000e+00 9.4000e+00 5.4000e+00 5.5000e+00 8.5000e+00\n",
      " 5.0000e+00 1.0000e+00 8.8000e+00 9.9999e+04 5.8000e+00]\n",
      "# of filtered=1 before:  1\n",
      "# of filtered=2 after:  0 , conversion unique [nan 7.3 7.5 7.7 7.4 6.7 7.2 6.9 7.  7.8 7.6 6.8 7.9 8.  7.1 8.3 6.5 6.6\n",
      " 8.1 8.2 5.9 8.6 6.2 6.3 6.  8.7 8.4 6.1 6.4 5.6 9.9 9.1 9.4 5.4 5.5 8.5\n",
      " 5.  1.  8.8 5.8]\n",
      "-----------------------------------------\n"
     ]
    }
   ],
   "source": [
    "name_filter=None\n",
    "test_match_value=1\n",
    "test_conversion_value=2\n",
    "\n",
    "##Run all 'commands' with name=='new_name'\n",
    "conversion_list_dict={}\n",
    "for idx,row in conversion_manual[~pd.isnull(conversion_manual['commands'])].iterrows():\n",
    "    for command in row['commands'].split('|'):\n",
    "        new_name,match_value,expression=command.split('@')\n",
    "        if name_filter!=None and new_name!=name_filter:\n",
    "            continue\n",
    "        print(idx,command,phenotype_raw[idx].unique())\n",
    "        print(\"# of filtered={} before: \".format(test_match_value),(phenotype_raw[idx]==test_match_value).sum())\n",
    "        conversion=run_command(phenotype_raw[idx],match_value,expression)\n",
    "        conversion_list_dict[new_name]=conversion_list_dict.get(new_name,[])+[conversion]\n",
    "        print(\"# of filtered={} after: \".format(test_conversion_value),(conversion==test_conversion_value).sum(),\", conversion unique\",conversion.unique())\n",
    "        print('-----------------------------------------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------Conversion----------------------\n",
      "age [67. 60. 51. 70. 68. 77. 65. 5\n",
      "sex [2. 1.]\n",
      "asthma [nan  2.]\n",
      "chronic_bronchitis [nan  2.]\n",
      "allergic_disease [nan  2.]\n",
      "stomach_cancer [nan 2.0]\n",
      "liver_cancer [nan 2.0]\n",
      "colorectal_cancer [nan 2.0]\n",
      "breast_cancer [nan 2.0]\n",
      "cervical_cancer [nan 2.0]\n",
      "lung_cancer [nan 2.0]\n",
      "thyroid_cancer [nan 2.0]\n",
      "prostate_cancer [nan 2.0]\n",
      "bladder_cancer [nan 2.0]\n",
      "colon_polyps [nan  2.]\n",
      "angina_pectoris_myocardial_infarction [nan  2.]\n",
      "hypertension [nan  2.]\n",
      "stroke [nan  2.]\n",
      "transient_ischemic_attacks [nan  2.]\n",
      "acute_liver_disease [nan  2.]\n",
      "diabetes [ 2. nan]\n",
      "t2_diabetes [ 2. nan]\n",
      "hyperlipidemia [nan  2.]\n",
      "thyroid_disease [nan  2.]\n",
      "arthritis [nan  2.]\n",
      "rheumatoid_arthritis [nan  2.]\n",
      "osteoporosis [nan  2.]\n",
      "parkinson [nan  2.]\n",
      "pwi_total [nan 27.  7. 10. 11. 12. 37.  \n",
      "chronic_gastritis_stomach_ulcer [nan  2.]\n",
      "duodenal_ulcer [nan  2.]\n",
      "urinary_tract_infection [nan  2.]\n",
      "height [136.7 159.4 162.5 143.3 154. \n",
      "hip_circumference [ 92.    94.4   85.6   94.5   \n",
      "waist_circumference [ 93.    92.7   79.9   82.4   \n",
      "weight [ 57.1   60.3   56.8   56.5   \n",
      "systolic_blood_pressure [ 90.  126.  105.  154.  162. \n",
      "diastolic_blood_pressure [ 55.   78.   75.   93.   98. \n",
      "pulse [ 74.  72.  68.  78.  64. 100.\n",
      "hysterectomy [nan  2.]\n",
      "menarche_onset_age [15. nan 14. 17. 12. 19. 20. 1\n",
      "menopause_age [nan 51. 46. 50. 54. 52. 57. 4\n",
      "menopause_cycle [ nan  30.  28.  25.  18.  29.\n",
      "ovarian_extraction [nan  2.]\n",
      "child_delivery_number [ 4. nan  3.  5.  2.  8.  7.  \n",
      "big_baby [nan  2.]\n",
      "small_baby [nan  2.]\n",
      "child_present [nan  4.  1.  2.  3.  5.  7.  \n",
      "child_dead [nan  0.  1.  2.  3.  4.]\n",
      "hematocrit [36.3 44.5 42.  39.4 39.8 40.5\n",
      "hemoglobin [12.7 15.7 13.3 12.9 13.6 14.2\n",
      "platelet [ 217.  223.  270.  229.  294.\n",
      "rbc [4.09 4.72 4.65 4.28 4.47 4.57\n",
      "wbc [ 5.5  7.4  4.8 ... 17.1 22.5 \n",
      "mcv [ 88.8  94.3  90.4  92.1  89. \n",
      "mch [31.1 33.2 28.7 31.  28.8 29.9\n",
      "mchc [35.1 35.2 31.7 33.6 32.3 35.5\n",
      "total_bilirubin [  nan  0.43  0.57  0.39  0.95\n",
      "bun [  9.6  14.   14.2  15.1  12.3\n",
      "creatinine [ 0.82  1.    0.87  0.86  0.84\n",
      "blood_in_urine [nan  2.]\n",
      "glucose_in_urine [nan  2.]\n",
      "alt [  20.    40.    19.    23.   \n",
      "ast [  27.    45.    21.    34.   \n",
      "gtp [  23.    40.    21.    15.   \n",
      "total_cholesterol [184. 174. 220. 238. 156. 199.\n",
      "hdl_cholesterol [ 32.  33.  41.  36.  44.  48.\n",
      "hba1c [ nan  6.   6.1  5.4  7.5  6.5\n",
      "freet4 [ nan 1.12 1.15 1.27 1.1  1.35\n",
      "tsh [  nan  0.96  1.14  1.23  0.76\n",
      "triglyceride [ 412.  162.  245.  176.   75.\n",
      "albumin [4.2 4.4 4.6 4.5 4.1 4.9 4.3 4\n",
      "hscrp [0.158 0.06  0.092 ... 1.168 2\n",
      "protein_in_urine [nan  2.]\n",
      "heart_failure [nan  2.]\n",
      "peripheral_vascular_diseases [nan  2.]\n",
      "cataract [nan  2.]\n",
      "glaucoma [nan  2.]\n",
      "renal_failure [nan  2.]\n",
      "renin [  nan  3.91  0.91  0.98  2.55\n",
      "fatty_liver [nan  2.]\n",
      "copd [nan  2.]\n",
      "tuberculosis [nan  2.]\n",
      "benign_prostatic_hyperplasia [nan  2.]\n",
      "gout [nan  2.]\n",
      "fracture [nan  2.]\n",
      "cholelithiasis_cholecystitis [nan  2.]\n",
      "periodontal_disease [nan  2.]\n",
      "insomnia [nan  2.]\n",
      "sleep_duration [nan  5.  6.  8.  7.  3.  9. 1\n",
      "neurosis [nan  2.]\n",
      "grip_strength [   nan  48.9   39.4   11.4   \n",
      "FVC_predicted [ nan 2.72 3.17 3.83 4.63 3.16\n",
      "FEV_predicted [ nan 1.96 2.4  2.74 3.56 2.45\n",
      "FEV_over_FVC_predicted [nan 73. 75. 72. 76. 77. 74. 7\n",
      "MVV_predicted [ nan  88.  99. 121. 153. 106.\n",
      "bone_density_distal_sos [  nan 4251. 3963. 4112. 4100.\n",
      "bone_density_midshaft_sos [  nan 4348. 3998. 3890. 3929.\n",
      "protein_in_blood [ 7.2  6.9  7.5  nan  7.3  8. \n"
     ]
    }
   ],
   "source": [
    "print(\"--------------Conversion----------------------\")\n",
    "# merge results of same 'new_name'\n",
    "conversion_dict={}\n",
    "for new_name,conversion_list in conversion_list_dict.items():\n",
    "    merge_result=None\n",
    "    for conversion_result in conversion_list:\n",
    "        if merge_result is None:\n",
    "            merge_result= conversion_result\n",
    "        else:\n",
    "            merge_result.update(conversion_result)\n",
    "    print(new_name,str(merge_result.unique())[:30])\n",
    "    conversion_dict[new_name]=merge_result\n",
    "#cohort 별 분포"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## converting to Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_df=pd.DataFrame(conversion_dict)\n",
    "conversion_df['cohort']=phenotype_raw['cohort']\n",
    "conversion_df['bmi']=(conversion_df['weight']/((0.01*conversion_df['height'])**2)).round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## (optional) human-readable transformation manual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ch6845/tools/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "conversion_manual_nonull=conversion_manual[~pd.isnull(conversion_manual['commands'])]\n",
    "conversion_manual_nonull['new_name']=conversion_manual_nonull['commands'].map(lambda x: x.split('|')[0].split('@')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#conversion_manual_nonull"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_manual_codebook=pd.DataFrame(columns=pd.MultiIndex.from_product([[i for i in range(0,15)], list(codebook_column_dict.values())+['commands']], names=['code', 'data']),index=conversion_manual_nonull.new_name.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "for new_name in conversion_manual_nonull.new_name.unique():\n",
    "    conversion_manual_nonull_select=conversion_manual_nonull[conversion_manual_nonull['new_name']==new_name]\n",
    "    for idx,(phenotype_code,row) in enumerate(conversion_manual_nonull_select.iterrows()):\n",
    "        codebook_total_select=codebook_total[codebook_total['phenotype_code']==phenotype_code][codebook_column_dict.values()].iloc[0]\n",
    "        codebook_total_select['commands']=row['commands']\n",
    "        conversion_manual_codebook.loc[row['new_name']][idx]=codebook_total_select"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#conversion_manual_codebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_manual_codebook.to_csv(conversion_manual_codebook_path,encoding='utf8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clean up"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Saving Phenotype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_df=pd.DataFrame(conversion_dict)\n",
    "conversion_df['cohort']=phenotype_raw['cohort']\n",
    "conversion_df['bmi']=(conversion_df['weight']/((0.01*conversion_df['height'])**2)).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1, 2, 3]), array([ 7612, 99234, 19004]))"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(phenotype_raw['cohort'].values,return_counts=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "try_float_to_int=lambda x: x if np.isnan(x) else x if x%1!=0 else np.int(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_df_try_int=conversion_df.applymap(try_float_to_int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "conversion_df_try_int.to_csv(pheno_all_file_path,sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'data/phenotype/phenotypes_all.tsv'"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#conversion_df_try_int['rheumatoid_arthritis']\n",
    "pheno_all_file_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(125850, 101)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conversion_df_try_int.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#conversion_df_try_int[conversion_df_try_int.columns.str.contains('arth')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1822"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(conversion_df_try_int['blood_in_urine']==2).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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