{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "from scipy import stats\n",
    "import sklearn\n",
    "\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Neuroscience', u'Cell biology']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(\"../json/filenames_topics_scores.json\", 'r') as f:\n",
    "        topics_articles = json.load(f)\n",
    "        \n",
    "topics_articles.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "480\n",
      "['article', 'subject', 0.05900852995442989, u'mutant', 0.2085584692144273, u'reduced', 0.31061342923191704, u'amplitude', 0.1819439911921947, u'electrophysiological', 0.21618370087221447, u'mir9', 0.23960080551442975, u'aiv', 0.20781428583199402, u'vertes', 0.01683167050949445, u'class', 0.19853348284406702, u'conductance']\n"
     ]
    }
   ],
   "source": [
    "header = ['article', 'subject']\n",
    "\n",
    "for subject, articles in topics_articles.iteritems():\n",
    "    for pub_id, topics in articles.iteritems():\n",
    "        header.extend(topics)        \n",
    "        \n",
    "print len(header)\n",
    "print header[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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  "language_info": {
   "codemirror_mode": {
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    "version": 2
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
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