{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python_defaultSpec_1599503433913",
   "display_name": "Python 3.6.0 64-bit ('root': conda)"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import os,sys,re,time\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "0   2015-07-01\n1   2015-07-01\nName: 3, dtype: datetime64[ns]\n"
    }
   ],
   "source": [
    "df =pd.read_csv(\"data/res.csv\",header=None)\n",
    "df2= pd.to_datetime(df[3],format='%Y%m%d')\n",
    "\n",
    "print(df2.head(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "index         3            4   5   6   7   8\n0      0  20150701  科目一第01考试点申通   3  --  --  --\n1      1  20150701  科目一第05考试点马陆  83  --  --  --\n"
    }
   ],
   "source": [
    "df2=df.drop([0,1,2],axis=1).reset_index()\n",
    "\n",
    "print(df2.head(2))\n",
    "\n",
    "\n",
    "# df_all = df_all[df_all['purchase_num'].str.contains('人付款')] \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}