{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary plots and HTML output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%pylab inline\n",
    "from gdsctools import anova\n",
    "matplotlib.rcParams['figure.figsize'] = (10,6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  HTML Report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from gdsctools import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "an = ANOVA(ic50_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [                  0%                  ] 0 of 11 complete in 0.0 sec[---               9%                  ] 1 of 11 complete in 0.3 sec[------           18%                  ] 2 of 11 complete in 0.5 sec[----------       27%                  ] 3 of 11 complete in 0.7 sec[-------------    36%                  ] 4 of 11 complete in 1.0 sec[-----------------45%                  ] 5 of 11 complete in 1.3 sec[-----------------54%                  ] 6 of 11 complete in 1.5 sec[-----------------63%----              ] 7 of 11 complete in 1.7 sec[-----------------72%-------           ] 8 of 11 complete in 2.0 sec[-----------------81%-----------       ] 9 of 11 complete in 2.2 sec[-----------------90%--------------    ] 10 of 11 complete in 2.4 sec[-----------------100%-----------------] 11 of 11 complete in 2.7 sec\n",
      "\n"
     ]
    }
   ],
   "source": [
    "results = an.anova_all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/cokelaer/Work/github/gdsctools/gdsctools/anova_report.py:111: UserWarning: No drug name or target will be populated.You may want to provide a DRUG_DECODE file.\n",
      "  warnings.warn(\"No drug name or target will be populated.\"\n"
     ]
    }
   ],
   "source": [
    "report = ANOVAReport(an, results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating main HTML page in directory html_gdsc_anova\n",
      "Creating individual HTML pages for each drug\n",
      "Creating individual HTML pages for each feature\n",
      "Creating individual HTML pages for each significant association\n"
     ]
    },
    {
     "data": {
      "image/png": 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IfC9zeu56rUy/tQt56MSG5GO/u+yr5SN1y1zFW5PHCr+K3Gs8jBy0NHrYn2ix6nfJnQnN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\nEEIIIYQQJSQgCyGEEEIIUeIf0pmuFZUNR3QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7298129710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This can take a while since it created all HTML and PNG images\n",
    "# This will be created in a directory called html_gdsc_anova by default\n",
    "# See settings notebook for details\n",
    "report.settings.animate = False\n",
    "report.create_html_pages(onweb=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Manual summary plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IfC9zeu56rUy/tQt56MSG5GO/u+yr5SN1y1zFW5PHCr+K3Gs8jBy0NHrYn2ix6nfJnQnN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\nEEIIIYQQJSQgCyGEEEIIUeIf0pmuFZUNR3QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7298017d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = report.drug_summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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a8pTS7eSAb1XgnHKdar0R1ZysXfk3OZjdJCJqF2DVgp1TaBA8VWojYAvdkKBK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\nr7+eFVZYgW9/+9ucdtppHHnkkVxxxRX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Gr5Zcyybgh+AKiRW4uUJXNzqa2UPm9tAjgB/j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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f728b471b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = report.feature_summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/cokelaer/miniconda3/envs/py3/lib/python3.5/site-packages/pandas/core/computation/expressions.py:183: UserWarning: evaluating in Python space because the '+' operator is not supported by numexpr for the bool dtype, use '|' instead\n",
      "  unsupported[op_str]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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phXOuT2C6i6QvJTlJP5XUzTl3Y511xki6zDk3KTA9XlKmc+62BvqYLGmyJHXp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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f728b2f4048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = report.get_significant_hits()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "openning html_gdsc_anova/associations/manova.html\n"
     ]
    }
   ],
   "source": [
    "# you can create an individual HTML page e.g. the MANOVA page\n",
    "report.create_html_manova()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}