graph_big_step2_midsize.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Large-scale Graph Statistics of Multiverse Galaxies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# generate edges \n",
    "import sys\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.spatial import cKDTree\n",
    "import gc\n",
    "\n",
    "# plot settings\n",
    "plt.rc('font', family='serif') \n",
    "plt.rc('font', serif='Times New Roman') \n",
    "plt.rcParams.update({'font.size': 16})\n",
    "plt.rcParams['mathtext.fontset'] = 'stix'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark import SparkContext   \n",
    "from pyspark.sql import SQLContext\n",
    "\n",
    "#sc = SparkContext(master='local[3]', appName='calgraph')\n",
    "sqlsc = SQLContext(sc)\n",
    "#sc.setCheckpointDir(\"./checkpoints\")\n",
    "#sc.setCheckpointDir(\"hdfs://localhost:8020/myhdfs/spark/checkpoints\")\n",
    "sc.setCheckpointDir(\"hdfs://master:54310/tmp/spark/checkpoints\")\n",
    "\n",
    "import pyspark.sql.functions as F\n",
    "import pyspark.sql.types as T\n",
    "from pyspark import Row"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read the csv file directly using sqlsc.read.csv and appropriate schema"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo_schema = T.StructType([\\\n",
    "                           T.StructField('haloid', T.IntegerType(), False),\\\n",
    "                           T.StructField('px', T.FloatType(), False),\\\n",
    "                           T.StructField('py', T.FloatType(), False),\\\n",
    "                           T.StructField('pz', T.FloatType(), False),\\\n",
    "                           T.StructField('halomass', T.FloatType(), False),\\\n",
    "                          ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "halodf = sqlsc.read.csv(\"hdfs://master:54310/data/spark/multiverse/omp31/sub0.csv\",\\\n",
    "                      header=True, schema = halo_schema)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "halodf.cache()\n",
    "sys.getsizeof(halodf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+---------+---------+---------+-------------+\n",
      "|  haloid|       px|       py|       pz|     halomass|\n",
      "+--------+---------+---------+---------+-------------+\n",
      "| 5188409|296.45267|189.95506|191.31058|4.17597992E14|\n",
      "|10821661|417.54764|440.56128|346.05518|2.48312997E14|\n",
      "| 9996014|170.42914|399.26718|59.763397| 5.9249598E13|\n",
      "| 9998160|348.89233|262.76263|62.507793| 6.5853198E13|\n",
      "| 8067063|57.121803| 296.3998|319.46368|1.40084997E14|\n",
      "+--------+---------+---------+---------+-------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "halodf.show(5,truncate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "halodf = halodf.withColumnRenamed('haloid','id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- id: integer (nullable = true)\n",
      " |-- px: float (nullable = true)\n",
      " |-- py: float (nullable = true)\n",
      " |-- pz: float (nullable = true)\n",
      " |-- halomass: float (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "halodf.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+-----------------+------------------+------------------+------------------+--------------------+\n",
      "|summary|               id|                px|                py|                pz|            halomass|\n",
      "+-------+-----------------+------------------+------------------+------------------+--------------------+\n",
      "|  count|          1617992|           1617992|           1617992|           1617992|             1617992|\n",
      "|   mean|5764271.004642792| 255.9116904923299| 256.1055846344955|  256.902098689752|2.796740785752413...|\n",
      "| stddev|3594772.151858618|148.05708407848303|148.13669326311546|148.32255564875416|1.524236236168056...|\n",
      "|    min|                6|              -0.0|          0.001971|           1.72E-4|       3.22652013E11|\n",
      "|    max|         12854156|         511.99982|         511.99997|         511.99976|       2.24754994E15|\n",
      "+-------+-----------------+------------------+------------------+------------------+--------------------+\n",
      "\n",
      "CPU times: user 1.75 ms, sys: 1.27 ms, total: 3.02 ms\n",
      "Wall time: 4.46 s\n"
     ]
    }
   ],
   "source": [
    "%time halodf.describe().show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "halodf = halodf.filter(halodf['halomass'] > 5.0E11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataFrame[id: int, px: float, py: float, pz: float, halomass: float]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "halodf.cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+------------------+------------------+------------------+------------------+--------------------+\n",
      "|summary|                id|                px|                py|                pz|            halomass|\n",
      "+-------+------------------+------------------+------------------+------------------+--------------------+\n",
      "|  count|           1082844|           1082844|           1082844|           1082844|             1082844|\n",
      "|   mean| 5801333.107794844|255.84810490132654|256.06410637084525| 256.7789526678313|3.983300550635513E12|\n",
      "| stddev|3593642.2124187234|148.09063276674505|148.09886794008258|148.34584246326028|1.851729663773909...|\n",
      "|    min|                 6|            7.0E-6|          0.001971|           1.72E-4|       5.05488015E11|\n",
      "|    max|          12854149|         511.99982|         511.99985|         511.99976|       2.24754994E15|\n",
      "+-------+------------------+------------------+------------------+------------------+--------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "halodf.describe().show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Visualize a galax slice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- id: integer (nullable = true)\n",
      " |-- px: float (nullable = true)\n",
      " |-- py: float (nullable = true)\n",
      " |-- pz: float (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "haloslice = halodf.select('id','px','py','pz').filter(halodf['pz'] < 30.).filter(halodf['pz'] > 20.)\n",
    "haloslice.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+------------------+------------------+------------------+-----------------+\n",
      "|summary|                id|                px|                py|               pz|\n",
      "+-------+------------------+------------------+------------------+-----------------+\n",
      "|  count|             30368|             30368|             30368|            30368|\n",
      "|   mean|2742949.4584760275|258.39468083725444|249.55384295544675|24.99050527038514|\n",
      "| stddev| 3280567.669104621|145.23074351821148| 147.1650068673258| 2.85758918186644|\n",
      "|    min|             42361|          0.012152|          0.015087|        20.000448|\n",
      "|    max|           9613428|         511.99738|         511.99835|        29.999155|\n",
      "+-------+------------------+------------------+------------------+-----------------+\n",
      "\n",
      "CPU times: user 1.54 ms, sys: 1.87 ms, total: 3.4 ms\n",
      "Wall time: 579 ms\n"
     ]
    }
   ],
   "source": [
    "%time haloslice.describe().show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f8d4e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "29"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdslice = haloslice.select('px','py').toPandas()\n",
    "\n",
    "# plot settings\n",
    "plt.rc('font', family='serif') \n",
    "plt.rc('font', serif='Times New Roman') \n",
    "plt.rcParams.update({'font.size': 16})\n",
    "plt.rcParams['mathtext.fontset'] = 'stix'\n",
    "\n",
    "fig = plt.figure(figsize=(12,12))\n",
    "plt.axes().set_aspect('equal','datalim')\n",
    "plt.title(r'Multiverse Slice ($20 \\leq z \\leq 30$ [$h^{-1}$ Mpc])')\n",
    "plt.xlabel(r'$x$ [$h^{-1}$ Mpc]')\n",
    "plt.ylabel(r'$y$ [$h^{-1}$ Mpc]')\n",
    "plt.scatter(pdslice.px.values,pdslice.py.values,s=1.5,marker=\".\",color='grey')\n",
    "plt.savefig('slice.png')\n",
    "plt.savefig('slice.pdf')\n",
    "plt.show()\n",
    "\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate cKDtree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+---------+---------+\n",
      "|       px|       py|       pz|\n",
      "+---------+---------+---------+\n",
      "|354.43866|154.60768|  94.1472|\n",
      "|252.91493|177.28673| 465.8624|\n",
      "|280.70523|317.62027| 42.28002|\n",
      "|55.698288|249.97823|171.45457|\n",
      "| 296.5703|189.49837|190.89578|\n",
      "+---------+---------+---------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "halodf.select('px','py','pz').show(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* For using `cKDTree` from `scipy`, let's make a `pandas dataframe`; Any tree for Spark/DataFrame?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 11.7 s, sys: 896 ms, total: 12.6 s\n",
      "Wall time: 13.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "hpdf = halodf.select('px','py','pz').toPandas()\n",
    "iddf = halodf.select('id').toPandas()\n",
    "\n",
    "# For a small testing sample, generate KDTree for the slice \n",
    "#gpdf = galslice.select('px','py','pz').toPandas()\n",
    "#iddf = galslice.select('galid').toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 175 ms, sys: 18.8 ms, total: 194 ms\n",
      "Wall time: 192 ms\n"
     ]
    },
    {
     "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>px</th>\n",
       "      <th>py</th>\n",
       "      <th>pz</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.569696e+06</td>\n",
       "      <td>1.569696e+06</td>\n",
       "      <td>1.569696e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.561214e+02</td>\n",
       "      <td>2.561036e+02</td>\n",
       "      <td>2.571962e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.480517e+02</td>\n",
       "      <td>1.481337e+02</td>\n",
       "      <td>1.484334e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.290000e-04</td>\n",
       "      <td>2.680000e-04</td>\n",
       "      <td>1.710000e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.276228e+02</td>\n",
       "      <td>1.274953e+02</td>\n",
       "      <td>1.293816e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.565051e+02</td>\n",
       "      <td>2.575892e+02</td>\n",
       "      <td>2.574596e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.845949e+02</td>\n",
       "      <td>3.842360e+02</td>\n",
       "      <td>3.862653e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.119999e+02</td>\n",
       "      <td>5.119997e+02</td>\n",
       "      <td>5.119999e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 px            py            pz\n",
       "count  1.569696e+06  1.569696e+06  1.569696e+06\n",
       "mean   2.561214e+02  2.561036e+02  2.571962e+02\n",
       "std    1.480517e+02  1.481337e+02  1.484334e+02\n",
       "min    3.290000e-04  2.680000e-04  1.710000e-04\n",
       "25%    1.276228e+02  1.274953e+02  1.293816e+02\n",
       "50%    2.565051e+02  2.575892e+02  2.574596e+02\n",
       "75%    3.845949e+02  3.842360e+02  3.862653e+02\n",
       "max    5.119999e+02  5.119997e+02  5.119999e+02"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time hpdf.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 50.8 ms, sys: 4.96 ms, total: 55.8 ms\n",
      "Wall time: 54.1 ms\n"
     ]
    },
    {
     "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>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.569696e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.585057e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.482207e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.588437e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.395248e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.196702e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.244550e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id\n",
       "count  1.569696e+06\n",
       "mean   5.585057e+06\n",
       "std    3.482207e+06\n",
       "min    1.000000e+00\n",
       "25%    2.588437e+06\n",
       "50%    5.395248e+06\n",
       "75%    8.196702e+06\n",
       "max    1.244550e+07"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time iddf.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37672808"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.getsizeof(hpdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.39 s, sys: 30.4 ms, total: 1.42 s\n",
      "Wall time: 1.42 s\n"
     ]
    }
   ],
   "source": [
    "%time hptree = cKDTree(hpdf[['px','py','pz']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "208"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.getsizeof(hptree)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Even we have 18 millions galaxies, their cKDTree size is super small. But we need to `collect` positions of `(px, py, pz)` to a dataframe `hpdf` (38MB) as an input for generating the `cKDTree`. Any way to directly generate the `cKDTree` from the spark/dataframe `halodf` with bypassing the `hpdf`?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate edges in the format of spark/dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "212"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gc.collect()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* ####  Broadcasting the cKDTree as `bcastTree` and test it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# broadcast kdtree\n",
    "bcastTree = sc.broadcast(hptree)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# broadcast linklen\n",
    "linklen = 1.6\n",
    "bcastLinkLen = sc.broadcast(linklen) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "bcastID = sc.broadcast(iddf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "px    296.570312\n",
       "py    189.498367\n",
       "pz    190.895782\n",
       "Name: 4, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hpdf.loc[4,['px','py','pz']]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "dummy, inow = bcastTree.value.query(hpdf.loc[4,['px','py','pz']], k=[2,3,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.71141554 1.09034328 1.56257543]\n"
     ]
    }
   ],
   "source": [
    "print dummy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1537127 1477414 1336007]\n"
     ]
    }
   ],
   "source": [
    "print inow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1537127</th>\n",
       "      <td>2557651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1477414</th>\n",
       "      <td>2551647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1336007</th>\n",
       "      <td>2565103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              id\n",
       "1537127  2557651\n",
       "1477414  2551647\n",
       "1336007  2565103"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#bcastID.value.loc[inow[0]]\n",
    "bcastID.value.loc[inow]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'int'>\n"
     ]
    }
   ],
   "source": [
    "print type(inow[0].item())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.6"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bcastLinkLen.value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Define a UDF to get neighbors for each galaxy \n",
    "\n",
    "> Most `pandas` results are `numpy` formatted. Hence, we need to frequently call `.itmem()` to match the output format with `spark/dataframe` types. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNeighbors(px,py,pz,curlinklen, curtree, curgalid):\n",
    "    lengcut = curlinklen.value\n",
    "    \n",
    "    neighborlists = []\n",
    "    inearest=2 # this is the first nearest neighbor in kdtree \n",
    "    \n",
    "    dummy, inow = curtree.value.query([px,py,pz],k=[inearest])\n",
    "    \n",
    "    while (dummy[0] <= lengcut):\n",
    "            \n",
    "            neighborlists.append(curgalid.value.loc[inow[0]].item())\n",
    "            inearest = inearest + 1 # the next nearest one \n",
    "            dummy, inow = curtree.value.query([px,py,pz],k=[inearest])\n",
    "    \n",
    "    return neighborlists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmpout = getNeighbors(772.436096,777.702393,26.309305,bcastLinkLen,bcastTree,bcastID)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(tmpout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmpout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from functools import partial\n",
    "getNeighborUDF = F.udf(partial(getNeighbors, curlinklen = bcastLinkLen, curtree = bcastTree, curgalid = bcastID),\\\n",
    "                T.ArrayType(T.IntegerType()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+---------+---------+---------+-------------+\n",
      "|      id|       px|       py|       pz|     halomass|\n",
      "+--------+---------+---------+---------+-------------+\n",
      "| 4781336|354.43866|154.60768|  94.1472|4.73930012E14|\n",
      "|10825298|252.91493|177.28673| 465.8624|1.16470999E14|\n",
      "| 9620325|280.70523|317.62027| 42.28002|3.15253015E14|\n",
      "| 2491387|55.698288|249.97823|171.45457| 6.6380901E13|\n",
      "| 5023833| 296.5703|189.49837|190.89578|3.57449995E14|\n",
      "+--------+---------+---------+---------+-------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "halodf.show(5,truncate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.93 ms, sys: 1.29 ms, total: 3.22 ms\n",
      "Wall time: 16.5 ms\n"
     ]
    }
   ],
   "source": [
    "%time neighbordf = halodf.withColumn('neighbors',getNeighborUDF('px','py','pz'))\n",
    "#%time neighbordf = galslice.withColumn('neighbors',getNeighborUDF('px','py','pz'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+--------------------+\n",
      "|      id|           neighbors|\n",
      "+--------+--------------------+\n",
      "| 4781336|[4787244, 4790959...|\n",
      "|10825298| [10827346, 8197636]|\n",
      "| 9620325|    [9640517, 96749]|\n",
      "| 2491387|                  []|\n",
      "| 5023833|[2557651, 2551647...|\n",
      "| 7610950|                  []|\n",
      "| 2833846|           [2835361]|\n",
      "|10479108|[10522511, 10526845]|\n",
      "|10546077|[10592992, 105837...|\n",
      "| 3283075|           [3283259]|\n",
      "| 9671918|[9714987, 9677175...|\n",
      "| 9677889|  [9683747, 9723357]|\n",
      "| 2440140|                  []|\n",
      "| 2491063|  [2494199, 2528358]|\n",
      "|10072547|    [385054, 390626]|\n",
      "| 7811283|[7838291, 7813812...|\n",
      "| 1001911|                  []|\n",
      "| 2288012|  [2295841, 2295460]|\n",
      "| 7463752|                  []|\n",
      "| 5125996|  [2658965, 5140028]|\n",
      "+--------+--------------------+\n",
      "only showing top 20 rows\n",
      "\n",
      "CPU times: user 5.36 ms, sys: 3.42 ms, total: 8.78 ms\n",
      "Wall time: 17.4 s\n"
     ]
    }
   ],
   "source": [
    "%time neighbordf.select('id','neighbors').show(20,truncate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- id: integer (nullable = true)\n",
      " |-- px: float (nullable = true)\n",
      " |-- py: float (nullable = true)\n",
      " |-- pz: float (nullable = true)\n",
      " |-- halomass: float (nullable = true)\n",
      " |-- neighbors: array (nullable = true)\n",
      " |    |-- element: integer (containsNull = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "neighbordf.printSchema()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* #### `explode` the neighbors to get an edge dataframe `edgedf`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.55 ms, sys: 944 µs, total: 2.5 ms\n",
      "Wall time: 10.3 ms\n"
     ]
    }
   ],
   "source": [
    "#%time edgelist = neighbordf.select('id',F.explode('neighbors').alias('dst')).collect()\n",
    "%time edgelist = neighbordf.select('id',F.explode('neighbors').alias('dst'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "edge_schema = T.StructType([\\\n",
    "                           T.StructField('src', T.IntegerType(), False),\\\n",
    "                           T.StructField('dst', T.IntegerType(), False),\\\n",
    "                          ])\n",
    "edgedf = sqlsc.createDataFrame(edgelist,schema=edge_schema) \n",
    "\"\"\"\n",
    "edgedf = edgelist.select(F.col(\"id\").alias(\"src\"),\"dst\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- src: integer (nullable = true)\n",
      " |-- dst: integer (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "edgedf.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 672 µs, sys: 777 µs, total: 1.45 ms\n",
      "Wall time: 25.5 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "DataFrame[src: int, dst: int]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#edgedf.cache().show(30,truncate=True)\n",
    "%time edgedf.cache()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* #### Define a graphframe `g` and do the graph caculations using `halodf` (vertices) and `edgedf` (edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+---------+---------+---------+-------------+\n",
      "|      id|       px|       py|       pz|     halomass|\n",
      "+--------+---------+---------+---------+-------------+\n",
      "| 4781336|354.43866|154.60768|  94.1472|4.73930012E14|\n",
      "|10825298|252.91493|177.28673| 465.8624|1.16470999E14|\n",
      "| 9620325|280.70523|317.62027| 42.28002|3.15253015E14|\n",
      "| 2491387|55.698288|249.97823|171.45457| 6.6380901E13|\n",
      "| 5023833| 296.5703|189.49837|190.89578|3.57449995E14|\n",
      "+--------+---------+---------+---------+-------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "halodf.show(5,truncate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "from graphframes import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.84 ms, sys: 1.15 ms, total: 2.98 ms\n",
      "Wall time: 22.4 ms\n"
     ]
    }
   ],
   "source": [
    "%time g = GraphFrame(halodf,edgedf)\n",
    "#g = GraphFrame(galslice,edgedf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+---------+---------+--------+-------------+\n",
      "|      id|       px|       py|      pz|     halomass|\n",
      "+--------+---------+---------+--------+-------------+\n",
      "| 4781336|354.43866|154.60768| 94.1472|4.73930012E14|\n",
      "|10825298|252.91493|177.28673|465.8624|1.16470999E14|\n",
      "+--------+---------+---------+--------+-------------+\n",
      "only showing top 2 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "g.vertices.show(2, truncate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+-------+\n",
      "|    src|    dst|\n",
      "+-------+-------+\n",
      "|4781336|4787244|\n",
      "|4781336|4790959|\n",
      "+-------+-------+\n",
      "only showing top 2 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "g.edges.show(2, truncate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+-------+\n",
      "|    src|    dst|\n",
      "+-------+-------+\n",
      "|5023833|2557651|\n",
      "|2551647|2557651|\n",
      "|2554210|2557651|\n",
      "+-------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "edgedf.filter(edgedf['dst'] == 2557651).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+-------+\n",
      "|    src|    dst|\n",
      "+-------+-------+\n",
      "|2557651|2551647|\n",
      "|2557651|2554210|\n",
      "|2557651|5023833|\n",
      "+-------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "edgedf.filter(edgedf['src'] == 2557651).orderBy(edgedf.dst.asc()).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* #### Now, getting the number of trianges and neighbors\n",
    "> `g.triangleCount()` returns a dataframe of `g.vertices` + `count`. `g.inDegrees` returns a dataframe of `id` + `inDegree` columns. Hence, `join` the two output dataframes to a `resultdf`, which has all information I need. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "resultdf = g.triangleCount().join(g.inDegrees, \"id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- id: integer (nullable = true)\n",
      " |-- count: long (nullable = true)\n",
      " |-- px: float (nullable = true)\n",
      " |-- py: float (nullable = true)\n",
      " |-- pz: float (nullable = true)\n",
      " |-- halomass: float (nullable = true)\n",
      " |-- inDegree: integer (nullable = false)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "resultdf.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---+--------+-----+\n",
      "| id|inDegree|count|\n",
      "+---+--------+-----+\n",
      "| 11|       2|    1|\n",
      "| 22|       2|    1|\n",
      "| 25|       6|   13|\n",
      "| 32|       3|    3|\n",
      "| 38|       1|    0|\n",
      "+---+--------+-----+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "resultdf.select('id','inDegree','count').orderBy('id').show(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- id: integer (nullable = true)\n",
      " |-- count: long (nullable = true)\n",
      " |-- px: float (nullable = true)\n",
      " |-- py: float (nullable = true)\n",
      " |-- pz: float (nullable = true)\n",
      " |-- halomass: float (nullable = true)\n",
      " |-- inDegree: integer (nullable = false)\n",
      " |-- component: long (nullable = true)\n",
      "\n",
      "CPU times: user 6.69 ms, sys: 3.16 ms, total: 9.85 ms\n",
      "Wall time: 47.1 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "tmp = g.connectedComponents().select(\"id\",\"component\")\n",
    "finalresult = resultdf.join(tmp,\"id\")\n",
    "finalresult.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+--------+-----+---------+\n",
      "|      id|inDegree|count|component|\n",
      "+--------+--------+-----+---------+\n",
      "|12445396|       1|    0|    33439|\n",
      "|12445394|       2|    1|    13534|\n",
      "|12445391|       1|    0|    13111|\n",
      "|12445389|       1|    0|    19721|\n",
      "|12445339|       1|    0|    25666|\n",
      "+--------+--------+-----+---------+\n",
      "only showing top 5 rows\n",
      "\n",
      "CPU times: user 5.77 ms, sys: 2.58 ms, total: 8.35 ms\n",
      "Wall time: 8.03 s\n"
     ]
    }
   ],
   "source": [
    "%time finalresult.select(\"id\",\"inDegree\",\"count\",\"component\").orderBy(\"id\",ascending=False).show(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 5.26 s, sys: 446 ms, total: 5.7 s\n",
      "Wall time: 12.7 s\n"
     ]
    }
   ],
   "source": [
    "%time resultpd = finalresult.toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>id</th>\n",
       "      <th>count</th>\n",
       "      <th>px</th>\n",
       "      <th>py</th>\n",
       "      <th>pz</th>\n",
       "      <th>halomass</th>\n",
       "      <th>inDegree</th>\n",
       "      <th>component</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "      <td>1.010967e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.592082e+06</td>\n",
       "      <td>9.954479e-01</td>\n",
       "      <td>2.560652e+02</td>\n",
       "      <td>2.565260e+02</td>\n",
       "      <td>2.576536e+02</td>\n",
       "      <td>2.713015e+12</td>\n",
       "      <td>1.961811e+00</td>\n",
       "      <td>4.726714e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.479327e+06</td>\n",
       "      <td>2.220311e+00</td>\n",
       "      <td>1.479785e+02</td>\n",
       "      <td>1.481431e+02</td>\n",
       "      <td>1.483949e+02</td>\n",
       "      <td>1.480570e+13</td>\n",
       "      <td>1.258716e+00</td>\n",
       "      <td>3.439462e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.100000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>3.290000e-04</td>\n",
       "      <td>2.680000e-04</td>\n",
       "      <td>8.230000e-04</td>\n",
       "      <td>2.706110e+11</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.100000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.595442e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.275807e+02</td>\n",
       "      <td>1.278598e+02</td>\n",
       "      <td>1.301109e+02</td>\n",
       "      <td>3.788560e+11</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.005485e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.398718e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.566761e+02</td>\n",
       "      <td>2.588362e+02</td>\n",
       "      <td>2.580119e+02</td>\n",
       "      <td>6.043650e+11</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>4.832669e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.199476e+06</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>3.844503e+02</td>\n",
       "      <td>3.846434e+02</td>\n",
       "      <td>3.869075e+02</td>\n",
       "      <td>1.371100e+12</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>7.668142e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.244540e+07</td>\n",
       "      <td>6.000000e+01</td>\n",
       "      <td>5.119997e+02</td>\n",
       "      <td>5.119997e+02</td>\n",
       "      <td>5.119999e+02</td>\n",
       "      <td>1.901580e+15</td>\n",
       "      <td>1.600000e+01</td>\n",
       "      <td>1.244465e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id         count            px            py            pz  \\\n",
       "count  1.010967e+06  1.010967e+06  1.010967e+06  1.010967e+06  1.010967e+06   \n",
       "mean   5.592082e+06  9.954479e-01  2.560652e+02  2.565260e+02  2.576536e+02   \n",
       "std    3.479327e+06  2.220311e+00  1.479785e+02  1.481431e+02  1.483949e+02   \n",
       "min    1.100000e+01  0.000000e+00  3.290000e-04  2.680000e-04  8.230000e-04   \n",
       "25%    2.595442e+06  0.000000e+00  1.275807e+02  1.278598e+02  1.301109e+02   \n",
       "50%    5.398718e+06  0.000000e+00  2.566761e+02  2.588362e+02  2.580119e+02   \n",
       "75%    8.199476e+06  1.000000e+00  3.844503e+02  3.846434e+02  3.869075e+02   \n",
       "max    1.244540e+07  6.000000e+01  5.119997e+02  5.119997e+02  5.119999e+02   \n",
       "\n",
       "           halomass      inDegree     component  \n",
       "count  1.010967e+06  1.010967e+06  1.010967e+06  \n",
       "mean   2.713015e+12  1.961811e+00  4.726714e+06  \n",
       "std    1.480570e+13  1.258716e+00  3.439462e+06  \n",
       "min    2.706110e+11  1.000000e+00  1.100000e+01  \n",
       "25%    3.788560e+11  1.000000e+00  1.005485e+06  \n",
       "50%    6.043650e+11  2.000000e+00  4.832669e+06  \n",
       "75%    1.371100e+12  2.000000e+00  7.668142e+06  \n",
       "max    1.901580e+15  1.600000e+01  1.244465e+07  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultpd.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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>id</th>\n",
       "      <th>tcount</th>\n",
       "      <th>px</th>\n",
       "      <th>py</th>\n",
       "      <th>pz</th>\n",
       "      <th>halomass</th>\n",
       "      <th>inDegree</th>\n",
       "      <th>component</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>148</td>\n",
       "      <td>3</td>\n",
       "      <td>127.042709</td>\n",
       "      <td>142.383774</td>\n",
       "      <td>0.813006</td>\n",
       "      <td>3.517950e+11</td>\n",
       "      <td>3</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1580</td>\n",
       "      <td>0</td>\n",
       "      <td>502.016724</td>\n",
       "      <td>96.430573</td>\n",
       "      <td>2.936783</td>\n",
       "      <td>1.813100e+12</td>\n",
       "      <td>2</td>\n",
       "      <td>1265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3175</td>\n",
       "      <td>0</td>\n",
       "      <td>311.646149</td>\n",
       "      <td>151.653107</td>\n",
       "      <td>3.373718</td>\n",
       "      <td>7.126100e+11</td>\n",
       "      <td>1</td>\n",
       "      <td>1934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4101</td>\n",
       "      <td>5</td>\n",
       "      <td>213.976089</td>\n",
       "      <td>47.416313</td>\n",
       "      <td>2.961219</td>\n",
       "      <td>3.788560e+11</td>\n",
       "      <td>4</td>\n",
       "      <td>2423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4818</td>\n",
       "      <td>0</td>\n",
       "      <td>383.114685</td>\n",
       "      <td>277.069641</td>\n",
       "      <td>3.056836</td>\n",
       "      <td>1.208730e+12</td>\n",
       "      <td>1</td>\n",
       "      <td>4818</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id  tcount          px          py        pz      halomass  inDegree  \\\n",
       "0   148       3  127.042709  142.383774  0.813006  3.517950e+11         3   \n",
       "1  1580       0  502.016724   96.430573  2.936783  1.813100e+12         2   \n",
       "2  3175       0  311.646149  151.653107  3.373718  7.126100e+11         1   \n",
       "3  4101       5  213.976089   47.416313  2.961219  3.788560e+11         4   \n",
       "4  4818       0  383.114685  277.069641  3.056836  1.208730e+12         1   \n",
       "\n",
       "   component  \n",
       "0        148  \n",
       "1       1265  \n",
       "2       1934  \n",
       "3       2423  \n",
       "4       4818  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultpd.columns = ['id','tcount','px','py','pz','halomass','inDegree','component']\n",
    "resultpd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "922448      207\n",
       "126448      179\n",
       "252770      172\n",
       "125524      144\n",
       "545329      139\n",
       "5081968     135\n",
       "5377081     127\n",
       "959617      125\n",
       "167872      122\n",
       "3095974     119\n",
       "586598      116\n",
       "1007812     114\n",
       "679273      107\n",
       "752142      106\n",
       "84487       102\n",
       "3242694     101\n",
       "960261       99\n",
       "8218236      99\n",
       "2207210      99\n",
       "135439       95\n",
       "379902       95\n",
       "669846       94\n",
       "264120       92\n",
       "4624651      92\n",
       "2756561      92\n",
       "963179       91\n",
       "501633       90\n",
       "462480       89\n",
       "752354       88\n",
       "251168       87\n",
       "           ... \n",
       "901891        2\n",
       "7819222       2\n",
       "10617595      2\n",
       "7478008       2\n",
       "2251504       2\n",
       "7783271       2\n",
       "9628390       2\n",
       "2570201       2\n",
       "5450462       2\n",
       "5356454       2\n",
       "2249822       2\n",
       "5053208       2\n",
       "2949915       2\n",
       "7156509       2\n",
       "5198673       2\n",
       "8299375       2\n",
       "3093341       2\n",
       "5192540       2\n",
       "987993        2\n",
       "503754        2\n",
       "5718871       2\n",
       "7310154       2\n",
       "10190354      2\n",
       "2594765       2\n",
       "2892607       2\n",
       "471897        2\n",
       "457568        2\n",
       "7082809       2\n",
       "7825363       2\n",
       "6141          2\n",
       "Name: component, Length: 285174, dtype: int64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultpd[\"component\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = np.double(finalresult.select(\"component\").distinct().count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "285174.0"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "pscomp = resultpd[\"component\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "285174"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pscomp[pscomp >= 2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "139148"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pscomp[pscomp >= 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "146026"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pscomp[pscomp == 2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "totalvertices = np.double(halodf.count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1010967"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(resultpd.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00013187266833832793"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.double(resultpd[\"component\"].value_counts().values[0])/totalvertices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00011403481948096956"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.double(resultpd[\"component\"].value_counts().values[1])/totalvertices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/shong/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "resultpd['lcc'] = resultpd.apply(lambda row: np.double(row.tcount)*2.0/(np.double(row.inDegree)*(np.double(row.inDegree)-1.0)) , axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    .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>id</th>\n",
       "      <th>tcount</th>\n",
       "      <th>px</th>\n",
       "      <th>py</th>\n",
       "      <th>pz</th>\n",
       "      <th>halomass</th>\n",
       "      <th>inDegree</th>\n",
       "      <th>component</th>\n",
       "      <th>lcc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>148</td>\n",
       "      <td>3</td>\n",
       "      <td>127.042709</td>\n",
       "      <td>142.383774</td>\n",
       "      <td>0.813006</td>\n",
       "      <td>3.517950e+11</td>\n",
       "      <td>3</td>\n",
       "      <td>148</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1580</td>\n",
       "      <td>0</td>\n",
       "      <td>502.016724</td>\n",
       "      <td>96.430573</td>\n",
       "      <td>2.936783</td>\n",
       "      <td>1.813100e+12</td>\n",
       "      <td>2</td>\n",
       "      <td>1265</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3175</td>\n",
       "      <td>0</td>\n",
       "      <td>311.646149</td>\n",
       "      <td>151.653107</td>\n",
       "      <td>3.373718</td>\n",
       "      <td>7.126100e+11</td>\n",
       "      <td>1</td>\n",
       "      <td>1934</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4101</td>\n",
       "      <td>5</td>\n",
       "      <td>213.976089</td>\n",
       "      <td>47.416313</td>\n",
       "      <td>2.961219</td>\n",
       "      <td>3.788560e+11</td>\n",
       "      <td>4</td>\n",
       "      <td>2423</td>\n",
       "      <td>0.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4818</td>\n",
       "      <td>0</td>\n",
       "      <td>383.114685</td>\n",
       "      <td>277.069641</td>\n",
       "      <td>3.056836</td>\n",
       "      <td>1.208730e+12</td>\n",
       "      <td>1</td>\n",
       "      <td>4818</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5300</td>\n",
       "      <td>0</td>\n",
       "      <td>196.867310</td>\n",
       "      <td>460.978119</td>\n",
       "      <td>3.413329</td>\n",
       "      <td>9.742000e+11</td>\n",
       "      <td>2</td>\n",
       "      <td>5300</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5518</td>\n",
       "      <td>10</td>\n",
       "      <td>89.410736</td>\n",
       "      <td>57.322941</td>\n",
       "      <td>3.528389</td>\n",
       "      <td>6.945690e+11</td>\n",
       "      <td>6</td>\n",
       "      <td>3608</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6336</td>\n",
       "      <td>1</td>\n",
       "      <td>405.125549</td>\n",
       "      <td>400.201965</td>\n",
       "      <td>1.972374</td>\n",
       "      <td>5.791080e+12</td>\n",
       "      <td>2</td>\n",
       "      <td>6062</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>6620</td>\n",
       "      <td>0</td>\n",
       "      <td>183.267868</td>\n",
       "      <td>102.467026</td>\n",
       "      <td>2.585900</td>\n",
       "      <td>4.871000e+11</td>\n",
       "      <td>2</td>\n",
       "      <td>5358</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7754</td>\n",
       "      <td>2</td>\n",
       "      <td>50.429317</td>\n",
       "      <td>194.791672</td>\n",
       "      <td>2.020648</td>\n",
       "      <td>3.788560e+11</td>\n",
       "      <td>4</td>\n",
       "      <td>860</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id  tcount          px          py        pz      halomass  inDegree  \\\n",
       "0   148       3  127.042709  142.383774  0.813006  3.517950e+11         3   \n",
       "1  1580       0  502.016724   96.430573  2.936783  1.813100e+12         2   \n",
       "2  3175       0  311.646149  151.653107  3.373718  7.126100e+11         1   \n",
       "3  4101       5  213.976089   47.416313  2.961219  3.788560e+11         4   \n",
       "4  4818       0  383.114685  277.069641  3.056836  1.208730e+12         1   \n",
       "5  5300       0  196.867310  460.978119  3.413329  9.742000e+11         2   \n",
       "6  5518      10   89.410736   57.322941  3.528389  6.945690e+11         6   \n",
       "7  6336       1  405.125549  400.201965  1.972374  5.791080e+12         2   \n",
       "8  6620       0  183.267868  102.467026  2.585900  4.871000e+11         2   \n",
       "9  7754       2   50.429317  194.791672  2.020648  3.788560e+11         4   \n",
       "\n",
       "   component       lcc  \n",
       "0        148  1.000000  \n",
       "1       1265  0.000000  \n",
       "2       1934       NaN  \n",
       "3       2423  0.833333  \n",
       "4       4818       NaN  \n",
       "5       5300  0.000000  \n",
       "6       3608  0.666667  \n",
       "7       6062  1.000000  \n",
       "8       5358  0.000000  \n",
       "9        860  0.333333  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultpd.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5643414150016538"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# local clustering coefficient\n",
    "np.nanmean(resultpd.lcc.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "# total counts of triples\n",
    "#resultpd['inDegree'].apply(lambda x: np.double(x*(x-1))).sum()\n",
    "# triangle sum\n",
    "#np.double(resultpd['tcount'].sum())\n",
    "\n",
    "final_transitivity = 2.0*np.double(resultpd['tcount'].sum())/resultpd['inDegree'].apply(lambda x: np.double(x*(x-1))).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5735378095610436"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_transitivity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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