base_file.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import s3fs\n",
    "import boto3\n",
    "from io import StringIO # python3; python2: BytesIO \n",
    "from boto3.s3.transfer import TransferConfig\n",
    "import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_features = ['tweet_id', 'enaging_user_id']\n",
    "test = pd.read_csv(\"s3://recsys-challenge-2020/competition_test.tsv\", encoding=\"utf-8\",\n",
    "                    names = all_features, usecols= [2, 14], sep=\"\\x01\"\n",
    "                   )\n",
    "test[['tweet_id', 'enaging_user_id']].drop_duplicates().to_csv('data/basefile_12_06_2020.csv', header = None, index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "test[['tweet_id', 'enaging_user_id']].drop_duplicates().to_csv('data/basefile_26_04_2020.csv', header = None, index = False)"
   ]
  }
 ],
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