cytometry-FCY1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "rolled-closer",
   "metadata": {},
   "source": [
    "# Cytometry data analysis (FCY1-mEGFP)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed73dfde-2a30-4fda-b435-4786eb8b6252",
   "metadata": {},
   "source": [
    "## Load packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "rough-upgrade",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['svg.fonttype'] = 'none'\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "748ccfc5-65d8-4c9f-946e-d92cb7ff2d34",
   "metadata": {},
   "source": [
    "## Specify filepaths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "intense-silence",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "source = 'data/20210309_AllFCS.csv'\n",
    "graph_outpath = 'graphs/'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "683ca6d9-46e3-440a-b77c-54b7d2f9620f",
   "metadata": {},
   "source": [
    "## Get cytometry data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "83e33337-4426-4e54-b54f-cc786288e3fe",
   "metadata": {
    "tags": []
   },
   "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>medium</th>\n",
       "      <th>strain</th>\n",
       "      <th>background</th>\n",
       "      <th>conc_5FC</th>\n",
       "      <th>well</th>\n",
       "      <th>file_fcs</th>\n",
       "      <th>presence</th>\n",
       "      <th>file</th>\n",
       "      <th>no</th>\n",
       "      <th>FSC.HLin</th>\n",
       "      <th>...</th>\n",
       "      <th>YEL.B.HLin</th>\n",
       "      <th>RED.B.HLin</th>\n",
       "      <th>NIR.B.HLin</th>\n",
       "      <th>YEL.G.HLin</th>\n",
       "      <th>ORG.G.HLin</th>\n",
       "      <th>RED.G.HLin</th>\n",
       "      <th>NIR.G.HLin</th>\n",
       "      <th>BLU.V.ALin</th>\n",
       "      <th>BLU.V.W</th>\n",
       "      <th>TIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>control</td>\n",
       "      <td>LL13_ho_mat_a</td>\n",
       "      <td>1.56</td>\n",
       "      <td>A01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-09_at_04-22-49pm-1.fcs</td>\n",
       "      <td>1</td>\n",
       "      <td>38961.582031</td>\n",
       "      <td>...</td>\n",
       "      <td>15.912092</td>\n",
       "      <td>18.305073</td>\n",
       "      <td>41.063065</td>\n",
       "      <td>10.959607</td>\n",
       "      <td>15.403275</td>\n",
       "      <td>17.157923</td>\n",
       "      <td>30.892895</td>\n",
       "      <td>64.361732</td>\n",
       "      <td>1155.323242</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>control</td>\n",
       "      <td>LL13_ho_mat_a</td>\n",
       "      <td>1.56</td>\n",
       "      <td>A01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-09_at_04-22-49pm-1.fcs</td>\n",
       "      <td>1</td>\n",
       "      <td>14866.583984</td>\n",
       "      <td>...</td>\n",
       "      <td>13.349505</td>\n",
       "      <td>13.957002</td>\n",
       "      <td>31.898193</td>\n",
       "      <td>10.962691</td>\n",
       "      <td>19.418303</td>\n",
       "      <td>13.824401</td>\n",
       "      <td>30.380995</td>\n",
       "      <td>43.485134</td>\n",
       "      <td>-42997.734375</td>\n",
       "      <td>218.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        medium   strain     background  conc_5FC well  file_fcs  presence  \\\n",
       "0  SC_complete  control  LL13_ho_mat_a      1.56  A01         1         1   \n",
       "1  SC_complete  control  LL13_ho_mat_a      1.56  A01         1         1   \n",
       "\n",
       "                             file  no      FSC.HLin  ...  YEL.B.HLin  \\\n",
       "0  2021-03-09_at_04-22-49pm-1.fcs   1  38961.582031  ...   15.912092   \n",
       "1  2021-03-09_at_04-22-49pm-1.fcs   1  14866.583984  ...   13.349505   \n",
       "\n",
       "   RED.B.HLin  NIR.B.HLin  YEL.G.HLin  ORG.G.HLin  RED.G.HLin  NIR.G.HLin  \\\n",
       "0   18.305073   41.063065   10.959607   15.403275   17.157923   30.892895   \n",
       "1   13.957002   31.898193   10.962691   19.418303   13.824401   30.380995   \n",
       "\n",
       "   BLU.V.ALin       BLU.V.W   TIME  \n",
       "0   64.361732   1155.323242  131.0  \n",
       "1   43.485134 -42997.734375  218.0  \n",
       "\n",
       "[2 rows x 26 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source_df = pd.read_csv(source, header=0)\n",
    "source_df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87902abe-a07b-48de-8e1a-3af2f2cb93fc",
   "metadata": {},
   "source": [
    "## SSC / FSC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bc605a84-0f93-4195-99cf-79cc28165c81",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x900 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "medium_order = ['SC_complete', 'SC_ura', 'SD_MSG', 'SD_NH4']\n",
    "grid = sns.FacetGrid(source_df, row='conc_5FC', col='medium', col_order = medium_order,\n",
    "                     hue = 'strain', hue_order = ['control', 'FCY1-GFP'], palette=['grey', 'green'],\n",
    "                     margin_titles=True, legend_out=True)\n",
    "grid.map(sns.kdeplot, 'FSC.HLin', 'SSC.HLin', log_scale=True, fill=True, alpha=.5)\n",
    "grid.map(plt.axvline, x=2000, ls='--', c='grey')\n",
    "grid.map(plt.axhline, y=300, ls='--', c='grey')\n",
    "grid.set_titles(row_template='{row_name} μg/mL 5-FC')\n",
    "\n",
    "medium_labels = ['SC', 'SC -ura', 'SD (MSG)', 'SD (NH₄)']\n",
    "for i, v in enumerate(medium_order):\n",
    "    grid.axes[0][i].set_title(medium_labels[i]) # Note: not the same font size as classic set_titles\n",
    "\n",
    "grid.set_axis_labels('FSC', 'SSC')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a804740c-d394-4c04-ad4d-3faf341df554",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "source_df.drop(source_df[(source_df['SSC.HLin'] < 300) | (source_df['FSC.HLin'] < 2000)].index, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "therapeutic-locking",
   "metadata": {},
   "source": [
    "## Normalization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "metric-anthropology",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "source_df['NormGrnB']=source_df['GRN.B.HLin']/source_df['FSC.HLin']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "million-bahamas",
   "metadata": {},
   "source": [
    "## Get percentage of fluorescent cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ebd4afe6-226f-4010-a2f7-ec9f0657a235",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_perc(g, channel1, gate):\n",
    "    tot = len(g)\n",
    "    gated = len(g[g[channel1] > gate])\n",
    "    return 100*gated/tot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "42d9ec20-80c3-4eb5-b54a-73ad2389ed98",
   "metadata": {
    "tags": []
   },
   "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>medium</th>\n",
       "      <th>strain</th>\n",
       "      <th>conc_5FC</th>\n",
       "      <th>well</th>\n",
       "      <th>perc_pos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.00</td>\n",
       "      <td>A06</td>\n",
       "      <td>99.168726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.78</td>\n",
       "      <td>A04</td>\n",
       "      <td>99.374302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>1.56</td>\n",
       "      <td>A02</td>\n",
       "      <td>99.635867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>control</td>\n",
       "      <td>0.00</td>\n",
       "      <td>A05</td>\n",
       "      <td>1.730503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>control</td>\n",
       "      <td>0.78</td>\n",
       "      <td>A03</td>\n",
       "      <td>0.594286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SC_complete</td>\n",
       "      <td>control</td>\n",
       "      <td>1.56</td>\n",
       "      <td>A01</td>\n",
       "      <td>1.109827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SC_ura</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.00</td>\n",
       "      <td>B06</td>\n",
       "      <td>99.464525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SC_ura</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.78</td>\n",
       "      <td>B04</td>\n",
       "      <td>98.849797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SC_ura</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>1.56</td>\n",
       "      <td>B02</td>\n",
       "      <td>97.224073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SC_ura</td>\n",
       "      <td>control</td>\n",
       "      <td>0.00</td>\n",
       "      <td>B05</td>\n",
       "      <td>1.594073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SC_ura</td>\n",
       "      <td>control</td>\n",
       "      <td>0.78</td>\n",
       "      <td>B03</td>\n",
       "      <td>1.931716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SC_ura</td>\n",
       "      <td>control</td>\n",
       "      <td>1.56</td>\n",
       "      <td>B01</td>\n",
       "      <td>3.370278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SD_MSG</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.00</td>\n",
       "      <td>D06</td>\n",
       "      <td>98.327257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SD_MSG</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.78</td>\n",
       "      <td>D04</td>\n",
       "      <td>95.425695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SD_MSG</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>1.56</td>\n",
       "      <td>D02</td>\n",
       "      <td>95.603675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SD_MSG</td>\n",
       "      <td>control</td>\n",
       "      <td>0.00</td>\n",
       "      <td>D05</td>\n",
       "      <td>1.735962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SD_MSG</td>\n",
       "      <td>control</td>\n",
       "      <td>0.78</td>\n",
       "      <td>D03</td>\n",
       "      <td>5.028799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>SD_MSG</td>\n",
       "      <td>control</td>\n",
       "      <td>1.56</td>\n",
       "      <td>D01</td>\n",
       "      <td>5.964438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SD_NH4</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.00</td>\n",
       "      <td>C06</td>\n",
       "      <td>98.127730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SD_NH4</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>0.78</td>\n",
       "      <td>C04</td>\n",
       "      <td>92.257218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SD_NH4</td>\n",
       "      <td>FCY1-GFP</td>\n",
       "      <td>1.56</td>\n",
       "      <td>C02</td>\n",
       "      <td>91.686826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SD_NH4</td>\n",
       "      <td>control</td>\n",
       "      <td>0.00</td>\n",
       "      <td>C05</td>\n",
       "      <td>13.464236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SD_NH4</td>\n",
       "      <td>control</td>\n",
       "      <td>0.78</td>\n",
       "      <td>C03</td>\n",
       "      <td>9.028571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SD_NH4</td>\n",
       "      <td>control</td>\n",
       "      <td>1.56</td>\n",
       "      <td>C01</td>\n",
       "      <td>8.510638</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         medium    strain  conc_5FC well   perc_pos\n",
       "0   SC_complete  FCY1-GFP      0.00  A06  99.168726\n",
       "1   SC_complete  FCY1-GFP      0.78  A04  99.374302\n",
       "2   SC_complete  FCY1-GFP      1.56  A02  99.635867\n",
       "3   SC_complete   control      0.00  A05   1.730503\n",
       "4   SC_complete   control      0.78  A03   0.594286\n",
       "5   SC_complete   control      1.56  A01   1.109827\n",
       "6        SC_ura  FCY1-GFP      0.00  B06  99.464525\n",
       "7        SC_ura  FCY1-GFP      0.78  B04  98.849797\n",
       "8        SC_ura  FCY1-GFP      1.56  B02  97.224073\n",
       "9        SC_ura   control      0.00  B05   1.594073\n",
       "10       SC_ura   control      0.78  B03   1.931716\n",
       "11       SC_ura   control      1.56  B01   3.370278\n",
       "12       SD_MSG  FCY1-GFP      0.00  D06  98.327257\n",
       "13       SD_MSG  FCY1-GFP      0.78  D04  95.425695\n",
       "14       SD_MSG  FCY1-GFP      1.56  D02  95.603675\n",
       "15       SD_MSG   control      0.00  D05   1.735962\n",
       "16       SD_MSG   control      0.78  D03   5.028799\n",
       "17       SD_MSG   control      1.56  D01   5.964438\n",
       "18       SD_NH4  FCY1-GFP      0.00  C06  98.127730\n",
       "19       SD_NH4  FCY1-GFP      0.78  C04  92.257218\n",
       "20       SD_NH4  FCY1-GFP      1.56  C02  91.686826\n",
       "21       SD_NH4   control      0.00  C05  13.464236\n",
       "22       SD_NH4   control      0.78  C03   9.028571\n",
       "23       SD_NH4   control      1.56  C01   8.510638"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percdf = source_df.groupby(['medium', 'strain', 'conc_5FC', 'well']).apply(lambda x: get_perc(x, 'NormGrnB', 0.008)).reset_index(name='perc_pos')\n",
    "percdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c8cc98b7-7ef1-4530-b867-fd37055b3d51",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\duran\\AppData\\Roaming\\jupyterlab-desktop\\jlab_server\\lib\\site-packages\\pandas\\core\\arraylike.py:402: RuntimeWarning: invalid value encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 749.32x429 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "medium_order = ['SC_complete', 'SC_ura', 'SD_MSG', 'SD_NH4']\n",
    "grid = sns.FacetGrid(source_df, row='conc_5FC', col='medium', col_order = medium_order,\n",
    "                     hue = 'strain', hue_order = ['control', 'FCY1-GFP'], palette=['grey', 'green'],\n",
    "                     margin_titles=True, legend_out=True,\n",
    "                     height=1.43, aspect=1.31\n",
    "                    )\n",
    "grid.map(sns.kdeplot, 'SSC.HLin', 'NormGrnB', log_scale=True, fill=True, alpha=.5)\n",
    "grid.map(plt.axhline, y=0.008, ls='--', c='grey')\n",
    "grid.set(ylim=(0.0001,1))\n",
    "grid.set_titles(row_template='{row_name} μg/mL')\n",
    "\n",
    "medium_labels = ['SC', 'SC -ura', 'SD (MSG)', 'SD (NH₄)']\n",
    "for i, v in enumerate(medium_order):\n",
    "    grid.axes[0][i].set_title(medium_labels[i]) # Note: not the same font size as classic set_titles\n",
    "    for j, w in enumerate(source_df.conc_5FC.unique()):\n",
    "        ctr_val = percdf.loc[(percdf.medium == v)\n",
    "                             & (percdf.conc_5FC == w)\n",
    "                             & (percdf.strain == 'control'),\n",
    "                             'perc_pos'].values[0]\n",
    "        gfp_val = percdf.loc[(percdf.medium == v)\n",
    "                             & (percdf.conc_5FC == w)\n",
    "                             & (percdf.strain == 'FCY1-GFP'),\n",
    "                             'perc_pos'].values[0]\n",
    "        grid.axes[j][i].annotate('{:.1f}%'.format(ctr_val), (30000, 0.001), color='grey')\n",
    "        grid.axes[j][i].annotate('{:.1f}%'.format(gfp_val), (30000, 0.2), color='green')\n",
    "\n",
    "grid.set_axis_labels('SSC', 'GRN.B / FSC')\n",
    "#grid.fig.subplots_adjust(top=0.82)\n",
    "#grid.fig.suptitle('Normalized fluorescence')\n",
    "plt.tight_layout()\n",
    "plt.savefig(graph_outpath+'20230406_Normalized_GrnB_SSC.png', format='png', dpi=300)\n",
    "plt.savefig(graph_outpath+'20230406_Normalized_GrnB_SSC.svg', format='svg', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "continuing-rating",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}