csv to json.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "import json\n",
    "\n",
    "csvfile = open('Data Output/evaluate_ideas_wedding_with_ratings_results.csv', 'r')\n",
    "jsonfile = open('output.json', 'w')\n",
    "\n",
    "fieldnames = (\"Unnamed\", \"corr_true\", \"authorID\", \"decline-slope\", \"exp-slope\", \"method\",\n",
    "              \"run\", \"threshold\")\n",
    "reader = csv.DictReader( csvfile, fieldnames)\n",
    "for row in reader:\n",
    "    json.dump(row, jsonfile)\n",
    "    jsonfile.write('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}