Write Amazon Dataset to Disk in CSV.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import gzip\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'data/amazon/digital_music/Digital_Music_5.json.gz'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_to_disk(path):  \n",
    "    g = gzip.open(path, 'rb')\n",
    "    with open('csvfile.csv','w') as file:\n",
    "        for l in g:\n",
    "            line = json.loads(l)\n",
    "            output = str(line['reviewerID'])+','+str(line['asin'])+','+str(line['overall'])+','+str(line['unixReviewTime'])\n",
    "            file.write(output)\n",
    "            file.write('\\n')\n",
    "    print('finished')  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished\n"
     ]
    }
   ],
   "source": [
    "write_to_disk('data/amazon/digital_music/Digital_Music_5.json.gz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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