demo/汽车销量预测/预处理数据.ipynb

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    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "from tqdm import tqdm"
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    "train = pd.read_csv('./train.csv')\n",
    "test  = pd.read_csv('./test.csv')"
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    "train['time'] = train['time'].apply(lambda x: '20' + x)\n",
    "test['time'] = test['time'].apply(lambda x: '20' + x)"
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    "month_map = {'Jan': '01-01', \n",
    "             'Feb': '02-01', \n",
    "             'Mar': '03-01', \n",
    "             'Apr': '04-01', \n",
    "             'May': '05-01', \n",
    "             'Jun': '06-01', \n",
    "             'Jul': '07-01', \n",
    "             'Aug': '08-01',\n",
    "             'Sep': '09-01', \n",
    "             'Oct': '10-01', \n",
    "             'Nov': '11-01', \n",
    "             'Dec': '12-01',\n",
    "            }\n",
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    "train.to_csv('./train.csv', index = False)\n",
    "test.to_csv('./test.csv', index = False)"
   ]
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