Sales analysis-0713.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 电子产品的电商数据分析报告\n",
    "- 通过分析销售数据来了解在线销售业务的消费情况，分析用户消费数据来分析用户的消费行为，为用户推荐相匹配的商品"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_time</th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>category_id</th>\n",
       "      <th>category_code</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>user_id</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>local</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-04-24 11:50:39 UTC</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-04-24 11:50:39 UTC</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-04-24 14:37:43 UTC</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-04-24 14:37:43 UTC</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-04-24 19:16:21 UTC</td>\n",
       "      <td>2294584263154074236</td>\n",
       "      <td>2273948316817424439</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>karcher</td>\n",
       "      <td>217.57</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-04-26 08:45:57 UTC</td>\n",
       "      <td>2295716521449619559</td>\n",
       "      <td>1515966223509261697</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>furniture.kitchen.table</td>\n",
       "      <td>maestro</td>\n",
       "      <td>39.33</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>20.0</td>\n",
       "      <td>男</td>\n",
       "      <td>重庆</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-04-26 09:33:47 UTC</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-04-26 09:33:47 UTC</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-04-26 09:33:47 UTC</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-04-26 09:33:47 UTC</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "                event_time             order_id           product_id  \\\n",
       "0  2020-04-24 11:50:39 UTC  2294359932054536986  1515966223509089906   \n",
       "1  2020-04-24 11:50:39 UTC  2294359932054536986  1515966223509089906   \n",
       "2  2020-04-24 14:37:43 UTC  2294444024058086220  2273948319057183658   \n",
       "3  2020-04-24 14:37:43 UTC  2294444024058086220  2273948319057183658   \n",
       "4  2020-04-24 19:16:21 UTC  2294584263154074236  2273948316817424439   \n",
       "5  2020-04-26 08:45:57 UTC  2295716521449619559  1515966223509261697   \n",
       "6  2020-04-26 09:33:47 UTC  2295740594749702229  1515966223509104892   \n",
       "7  2020-04-26 09:33:47 UTC  2295740594749702229  1515966223509104892   \n",
       "8  2020-04-26 09:33:47 UTC  2295740594749702229  1515966223509104892   \n",
       "9  2020-04-26 09:33:47 UTC  2295740594749702229  1515966223509104892   \n",
       "\n",
       "    category_id                category_code    brand    price       user_id  \\\n",
       "0  2.268105e+18           electronics.tablet  samsung   162.01  1.515916e+18   \n",
       "1  2.268105e+18           electronics.tablet  samsung   162.01  1.515916e+18   \n",
       "2  2.268105e+18  electronics.audio.headphone   huawei    77.52  1.515916e+18   \n",
       "3  2.268105e+18  electronics.audio.headphone   huawei    77.52  1.515916e+18   \n",
       "4  2.268105e+18                          NaN  karcher   217.57  1.515916e+18   \n",
       "5  2.268105e+18      furniture.kitchen.table  maestro    39.33  1.515916e+18   \n",
       "6  2.268105e+18       electronics.smartphone    apple  1387.01  1.515916e+18   \n",
       "7  2.268105e+18       electronics.smartphone    apple  1387.01  1.515916e+18   \n",
       "8  2.268105e+18       electronics.smartphone    apple  1387.01  1.515916e+18   \n",
       "9  2.268105e+18       electronics.smartphone    apple  1387.01  1.515916e+18   \n",
       "\n",
       "    age sex local  \n",
       "0  24.0   女    海南  \n",
       "1  24.0   女    海南  \n",
       "2  38.0   女    北京  \n",
       "3  38.0   女    北京  \n",
       "4  32.0   女    广东  \n",
       "5  20.0   男    重庆  \n",
       "6  21.0   男    北京  \n",
       "7  21.0   男    北京  \n",
       "8  21.0   男    北京  \n",
       "9  21.0   男    北京  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
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    }
   ],
   "source": [
    "#导入Python库\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot') \n",
    "df=pd.read_csv('Sales analysis-0713.csv')\n",
    "df=df.drop(['Unnamed: 0'],axis=1) #删除Unnamed: 0列\n",
    "df.head(10) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据预处理和清洗\n",
    "    时间格式转换\n",
    "    缺失值查看\n",
    "    删除重复值\n",
    "    处理异常数据（无法填充，只能进行删除）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 564169 entries, 0 to 564168\n",
      "Data columns (total 11 columns):\n",
      "event_time       564169 non-null object\n",
      "order_id         564169 non-null int64\n",
      "product_id       564169 non-null int64\n",
      "category_id      564169 non-null float64\n",
      "category_code    434799 non-null object\n",
      "brand            536945 non-null object\n",
      "price            564169 non-null float64\n",
      "user_id          564169 non-null float64\n",
      "age              564169 non-null float64\n",
      "sex              564169 non-null object\n",
      "local            564169 non-null object\n",
      "dtypes: float64(4), int64(2), object(5)\n",
      "memory usage: 47.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()  #category_code，brand有缺失行，event_time需要进行时间格式转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "event_time       0\n",
       "order_id         0\n",
       "product_id       0\n",
       "category_id      0\n",
       "category_code    0\n",
       "brand            0\n",
       "price            0\n",
       "user_id          0\n",
       "age              0\n",
       "sex              0\n",
       "local            0\n",
       "month            0\n",
       "week             0\n",
       "day              0\n",
       "hour             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(df.isnull(),axis=0) #每列的缺失数量\n",
    "df.fillna(value='NaN',inplace=True)\n",
    "np.sum(df.isnull())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_time</th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>category_id</th>\n",
       "      <th>category_code</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>user_id</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>local</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-04-24 11:50:39</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-04-24 11:50:39</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-04-24 14:37:43</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-04-24 14:37:43</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-04-24 19:16:21</td>\n",
       "      <td>2294584263154074236</td>\n",
       "      <td>2273948316817424439</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>karcher</td>\n",
       "      <td>217.57</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-04-26 08:45:57</td>\n",
       "      <td>2295716521449619559</td>\n",
       "      <td>1515966223509261697</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>furniture.kitchen.table</td>\n",
       "      <td>maestro</td>\n",
       "      <td>39.33</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>20.0</td>\n",
       "      <td>男</td>\n",
       "      <td>重庆</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-04-26 09:33:47</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-04-26 09:33:47</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-04-26 09:33:47</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-04-26 09:33:47</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           event_time             order_id           product_id   category_id  \\\n",
       "0 2020-04-24 11:50:39  2294359932054536986  1515966223509089906  2.268105e+18   \n",
       "1 2020-04-24 11:50:39  2294359932054536986  1515966223509089906  2.268105e+18   \n",
       "2 2020-04-24 14:37:43  2294444024058086220  2273948319057183658  2.268105e+18   \n",
       "3 2020-04-24 14:37:43  2294444024058086220  2273948319057183658  2.268105e+18   \n",
       "4 2020-04-24 19:16:21  2294584263154074236  2273948316817424439  2.268105e+18   \n",
       "5 2020-04-26 08:45:57  2295716521449619559  1515966223509261697  2.268105e+18   \n",
       "6 2020-04-26 09:33:47  2295740594749702229  1515966223509104892  2.268105e+18   \n",
       "7 2020-04-26 09:33:47  2295740594749702229  1515966223509104892  2.268105e+18   \n",
       "8 2020-04-26 09:33:47  2295740594749702229  1515966223509104892  2.268105e+18   \n",
       "9 2020-04-26 09:33:47  2295740594749702229  1515966223509104892  2.268105e+18   \n",
       "\n",
       "                 category_code    brand    price       user_id   age sex  \\\n",
       "0           electronics.tablet  samsung   162.01  1.515916e+18  24.0   女   \n",
       "1           electronics.tablet  samsung   162.01  1.515916e+18  24.0   女   \n",
       "2  electronics.audio.headphone   huawei    77.52  1.515916e+18  38.0   女   \n",
       "3  electronics.audio.headphone   huawei    77.52  1.515916e+18  38.0   女   \n",
       "4                          NaN  karcher   217.57  1.515916e+18  32.0   女   \n",
       "5      furniture.kitchen.table  maestro    39.33  1.515916e+18  20.0   男   \n",
       "6       electronics.smartphone    apple  1387.01  1.515916e+18  21.0   男   \n",
       "7       electronics.smartphone    apple  1387.01  1.515916e+18  21.0   男   \n",
       "8       electronics.smartphone    apple  1387.01  1.515916e+18  21.0   男   \n",
       "9       electronics.smartphone    apple  1387.01  1.515916e+18  21.0   男   \n",
       "\n",
       "  local  month  week  day  hour  \n",
       "0    海南      4     4   24    11  \n",
       "1    海南      4     4   24    11  \n",
       "2    北京      4     4   24    14  \n",
       "3    北京      4     4   24    14  \n",
       "4    广东      4     4   24    19  \n",
       "5    重庆      4     6   26     8  \n",
       "6    北京      4     6   26     9  \n",
       "7    北京      4     6   26     9  \n",
       "8    北京      4     6   26     9  \n",
       "9    北京      4     6   26     9  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['event_time']=pd.to_datetime(df['event_time'])\n",
    "df['month']=df['event_time'].dt.month\n",
    "df['week']=df['event_time'].dt.dayofweek #返回星期几\n",
    "df['day']=df['event_time'].dt.day\n",
    "df['hour']=df['event_time'].dt.hour\n",
    "df.head(10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_time</th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>category_id</th>\n",
       "      <th>category_code</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>user_id</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>local</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-04-24 11:50:39</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-04-24 14:37:43</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-04-24 19:16:21</td>\n",
       "      <td>2294584263154074236</td>\n",
       "      <td>2273948316817424439</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>karcher</td>\n",
       "      <td>217.57</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-04-26 08:45:57</td>\n",
       "      <td>2295716521449619559</td>\n",
       "      <td>1515966223509261697</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>furniture.kitchen.table</td>\n",
       "      <td>maestro</td>\n",
       "      <td>39.33</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>20.0</td>\n",
       "      <td>男</td>\n",
       "      <td>重庆</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-04-26 09:33:47</td>\n",
       "      <td>2295740594749702229</td>\n",
       "      <td>1515966223509104892</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>1387.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-04-26 14:55:26</td>\n",
       "      <td>2295902490203259134</td>\n",
       "      <td>2273948311742316796</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.refrigerators</td>\n",
       "      <td>lg</td>\n",
       "      <td>462.94</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-04-26 23:35:39</td>\n",
       "      <td>2296164324487463110</td>\n",
       "      <td>1515966223509259473</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.personal.scales</td>\n",
       "      <td>polaris</td>\n",
       "      <td>30.07</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020-04-27 07:24:51</td>\n",
       "      <td>2296400480990920715</td>\n",
       "      <td>2273948308663698152</td>\n",
       "      <td>2.374499e+18</td>\n",
       "      <td>electronics.video.tv</td>\n",
       "      <td>samsung</td>\n",
       "      <td>416.64</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>16.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020-04-27 14:57:22</td>\n",
       "      <td>2296628237930857206</td>\n",
       "      <td>1515966223509089660</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.components.cpu</td>\n",
       "      <td>intel</td>\n",
       "      <td>91.41</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>49.0</td>\n",
       "      <td>女</td>\n",
       "      <td>浙江</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020-04-28 02:21:45</td>\n",
       "      <td>2296972701060825130</td>\n",
       "      <td>1515966223509104683</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>philips</td>\n",
       "      <td>23.13</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2020-04-28 03:47:48</td>\n",
       "      <td>2297016008231092565</td>\n",
       "      <td>1515966223509089780</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.notebook</td>\n",
       "      <td>asus</td>\n",
       "      <td>509.24</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>43.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020-04-28 04:25:00</td>\n",
       "      <td>2297034737199350540</td>\n",
       "      <td>1515966223509719628</td>\n",
       "      <td>2.268106e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.94</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>37.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020-04-28 09:01:47</td>\n",
       "      <td>2297174044555871159</td>\n",
       "      <td>2273948222957290212</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.peripherals.monitor</td>\n",
       "      <td>samsung</td>\n",
       "      <td>254.61</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>27.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020-04-28 11:36:47</td>\n",
       "      <td>2297252054407578606</td>\n",
       "      <td>2273948303177548033</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.peripherals.printer</td>\n",
       "      <td>epson</td>\n",
       "      <td>164.33</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>48.0</td>\n",
       "      <td>女</td>\n",
       "      <td>江苏</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2020-04-29 03:25:12</td>\n",
       "      <td>2297729407910937541</td>\n",
       "      <td>1515966223509105105</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sbs</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>47.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2020-04-29 04:46:39</td>\n",
       "      <td>2297770405059888020</td>\n",
       "      <td>1515966223509088578</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>samsung</td>\n",
       "      <td>300.90</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>28.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2020-04-29 06:20:39</td>\n",
       "      <td>2297817716758675935</td>\n",
       "      <td>1515966223510177666</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geyzer</td>\n",
       "      <td>6.23</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020-04-29 06:21:53</td>\n",
       "      <td>2297818341995184662</td>\n",
       "      <td>1515966223509382310</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.kettle</td>\n",
       "      <td>tefal</td>\n",
       "      <td>7.85</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>41.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2020-04-29 08:56:24</td>\n",
       "      <td>2297896107595793042</td>\n",
       "      <td>1515966223509104759</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>samsung</td>\n",
       "      <td>300.90</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>41.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2020-04-29 10:38:40</td>\n",
       "      <td>2297947579247231353</td>\n",
       "      <td>1515966223509881617</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.components.memory</td>\n",
       "      <td>kingston</td>\n",
       "      <td>49.98</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>22.0</td>\n",
       "      <td>男</td>\n",
       "      <td>浙江</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2020-04-29 10:46:21</td>\n",
       "      <td>2297951447913857849</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2020-04-29 10:46:21</td>\n",
       "      <td>2297951447913857849</td>\n",
       "      <td>1515966223509088613</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>203.68</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2020-04-29 11:59:50</td>\n",
       "      <td>2297988436574864215</td>\n",
       "      <td>1515966223509089486</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>samsung</td>\n",
       "      <td>115.72</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>47.0</td>\n",
       "      <td>女</td>\n",
       "      <td>重庆</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2020-04-29 11:59:50</td>\n",
       "      <td>2297988436574864215</td>\n",
       "      <td>1515966223509259423</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.clocks</td>\n",
       "      <td>apple</td>\n",
       "      <td>317.11</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>47.0</td>\n",
       "      <td>女</td>\n",
       "      <td>重庆</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020-04-29 12:00:59</td>\n",
       "      <td>2297989017720849297</td>\n",
       "      <td>1515966223509088635</td>\n",
       "      <td>2.374499e+18</td>\n",
       "      <td>electronics.video.tv</td>\n",
       "      <td>ava</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>37.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2020-04-29 12:05:34</td>\n",
       "      <td>2297991320922226852</td>\n",
       "      <td>1515966223509123236</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>barjher</td>\n",
       "      <td>9.24</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>18.0</td>\n",
       "      <td>男</td>\n",
       "      <td>上海</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2020-04-29 12:05:34</td>\n",
       "      <td>2297991320922226852</td>\n",
       "      <td>1515966223509127751</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.personal.scales</td>\n",
       "      <td>polaris</td>\n",
       "      <td>21.97</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>18.0</td>\n",
       "      <td>男</td>\n",
       "      <td>上海</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2020-04-29 12:09:12</td>\n",
       "      <td>2297993149328392585</td>\n",
       "      <td>1515966223509302893</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>country_yard.weather_station</td>\n",
       "      <td>beurer</td>\n",
       "      <td>23.12</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>44.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2020-04-29 12:09:13</td>\n",
       "      <td>2297993157859606924</td>\n",
       "      <td>1515966223509089076</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>samsung</td>\n",
       "      <td>161.78</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>重庆</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2020-04-29 12:09:53</td>\n",
       "      <td>2297993489704550822</td>\n",
       "      <td>2273948319115903999</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.blender</td>\n",
       "      <td>polaris</td>\n",
       "      <td>43.96</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>50.0</td>\n",
       "      <td>男</td>\n",
       "      <td>湖南</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564139</th>\n",
       "      <td>2020-11-21 09:44:10</td>\n",
       "      <td>2388440981134693921</td>\n",
       "      <td>1515966223510403240</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>300.90</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>35.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564140</th>\n",
       "      <td>2020-11-21 09:46:42</td>\n",
       "      <td>2388440981134693922</td>\n",
       "      <td>1515966223509089825</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.environment.vacuum</td>\n",
       "      <td>samsung</td>\n",
       "      <td>69.42</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>30.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564141</th>\n",
       "      <td>2020-11-21 09:49:31</td>\n",
       "      <td>2388440981134693923</td>\n",
       "      <td>2374771446888006239</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>apparel.glove</td>\n",
       "      <td>sony</td>\n",
       "      <td>403.45</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>35.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564142</th>\n",
       "      <td>2020-11-21 09:49:31</td>\n",
       "      <td>2388440981134693923</td>\n",
       "      <td>2388434452475891827</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.peripherals.joystick</td>\n",
       "      <td>sony</td>\n",
       "      <td>102.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>35.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564143</th>\n",
       "      <td>2020-11-21 09:50:11</td>\n",
       "      <td>2388440981134693924</td>\n",
       "      <td>1515966223510668566</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>huter</td>\n",
       "      <td>474.75</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564144</th>\n",
       "      <td>2020-11-21 09:50:24</td>\n",
       "      <td>2388440981134693925</td>\n",
       "      <td>1515966223513916332</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ava</td>\n",
       "      <td>78.68</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>44.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564145</th>\n",
       "      <td>2020-11-21 09:51:55</td>\n",
       "      <td>2388440981134693926</td>\n",
       "      <td>2388434452473912695</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.notebook</td>\n",
       "      <td>lenovo</td>\n",
       "      <td>884.24</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>30.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564146</th>\n",
       "      <td>2020-11-21 09:52:28</td>\n",
       "      <td>2388440981134693927</td>\n",
       "      <td>1515966223509108002</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.washer</td>\n",
       "      <td>indesit</td>\n",
       "      <td>231.46</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>44.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564147</th>\n",
       "      <td>2020-11-21 09:54:18</td>\n",
       "      <td>2388440981134693928</td>\n",
       "      <td>1515966223509106026</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.clocks</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>35.0</td>\n",
       "      <td>女</td>\n",
       "      <td>浙江</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564148</th>\n",
       "      <td>2020-11-21 09:54:18</td>\n",
       "      <td>2388440981134693928</td>\n",
       "      <td>2388434452475891826</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.peripherals.joystick</td>\n",
       "      <td>sony</td>\n",
       "      <td>77.75</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>35.0</td>\n",
       "      <td>女</td>\n",
       "      <td>浙江</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564149</th>\n",
       "      <td>2020-11-21 09:56:53</td>\n",
       "      <td>2388440981134693929</td>\n",
       "      <td>2273948216456118473</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.mixer</td>\n",
       "      <td>polaris</td>\n",
       "      <td>30.07</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>44.0</td>\n",
       "      <td>男</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564150</th>\n",
       "      <td>2020-11-21 09:59:01</td>\n",
       "      <td>2388440981134693930</td>\n",
       "      <td>1515966223510177554</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>dji</td>\n",
       "      <td>0.23</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>31.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564151</th>\n",
       "      <td>2020-11-21 09:59:01</td>\n",
       "      <td>2388440981134693930</td>\n",
       "      <td>2273948237628965713</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>dji</td>\n",
       "      <td>0.23</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>31.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564152</th>\n",
       "      <td>2020-11-21 09:59:55</td>\n",
       "      <td>2388440981134693931</td>\n",
       "      <td>2388434452473986696</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.environment.air_heater</td>\n",
       "      <td>ava</td>\n",
       "      <td>43.96</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>29.0</td>\n",
       "      <td>男</td>\n",
       "      <td>重庆</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564153</th>\n",
       "      <td>2020-11-21 10:00:18</td>\n",
       "      <td>2388440981134693932</td>\n",
       "      <td>1515966223509122449</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.personal.massager</td>\n",
       "      <td>gezatone</td>\n",
       "      <td>53.22</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>18.0</td>\n",
       "      <td>女</td>\n",
       "      <td>浙江</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564154</th>\n",
       "      <td>2020-11-21 10:01:19</td>\n",
       "      <td>2388440981134693933</td>\n",
       "      <td>1515966223509639109</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.hood</td>\n",
       "      <td>electrolux</td>\n",
       "      <td>509.24</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>39.0</td>\n",
       "      <td>男</td>\n",
       "      <td>北京</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564155</th>\n",
       "      <td>2020-11-21 10:02:04</td>\n",
       "      <td>2388440981134693934</td>\n",
       "      <td>1515966223509630995</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.telephone</td>\n",
       "      <td>mart</td>\n",
       "      <td>231.46</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>48.0</td>\n",
       "      <td>女</td>\n",
       "      <td>重庆</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564156</th>\n",
       "      <td>2020-11-21 10:02:06</td>\n",
       "      <td>2388440981134693935</td>\n",
       "      <td>2273948303068496095</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>185.16</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>47.0</td>\n",
       "      <td>男</td>\n",
       "      <td>江苏</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564157</th>\n",
       "      <td>2020-11-21 10:04:07</td>\n",
       "      <td>2388440981134693936</td>\n",
       "      <td>1515966223509353752</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.environment.air_heater</td>\n",
       "      <td>resanta</td>\n",
       "      <td>46.97</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>25.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564158</th>\n",
       "      <td>2020-11-21 10:04:42</td>\n",
       "      <td>2388440981134693937</td>\n",
       "      <td>1515966223509088671</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>925.67</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>27.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564159</th>\n",
       "      <td>2020-11-21 10:05:04</td>\n",
       "      <td>2388440981134693938</td>\n",
       "      <td>1515966223509088509</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>925.67</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>男</td>\n",
       "      <td>广东</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564160</th>\n",
       "      <td>2020-11-21 10:06:01</td>\n",
       "      <td>2388440981134693939</td>\n",
       "      <td>1515966223509090132</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>computers.peripherals.printer</td>\n",
       "      <td>canon</td>\n",
       "      <td>299.98</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>39.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564161</th>\n",
       "      <td>2020-11-21 10:08:14</td>\n",
       "      <td>2388440981134693940</td>\n",
       "      <td>2273948246856434093</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>xiaomi</td>\n",
       "      <td>16.18</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>39.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564162</th>\n",
       "      <td>2020-11-21 10:08:54</td>\n",
       "      <td>2388440981134693941</td>\n",
       "      <td>1515966223519279912</td>\n",
       "      <td>2.374499e+18</td>\n",
       "      <td>electronics.video.tv</td>\n",
       "      <td>samsung</td>\n",
       "      <td>1736.09</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>25.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564163</th>\n",
       "      <td>2020-11-21 10:08:54</td>\n",
       "      <td>2388440981134693941</td>\n",
       "      <td>1515966223509088622</td>\n",
       "      <td>2.374499e+18</td>\n",
       "      <td>electronics.video.tv</td>\n",
       "      <td>lg</td>\n",
       "      <td>370.35</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>25.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564164</th>\n",
       "      <td>2020-11-21 10:10:01</td>\n",
       "      <td>2388440981134693942</td>\n",
       "      <td>1515966223526602848</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>oppo</td>\n",
       "      <td>138.87</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564165</th>\n",
       "      <td>2020-11-21 10:10:13</td>\n",
       "      <td>2388440981134693943</td>\n",
       "      <td>1515966223509089282</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>418.96</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564166</th>\n",
       "      <td>2020-11-21 10:10:30</td>\n",
       "      <td>2388440981134693944</td>\n",
       "      <td>1515966223509089917</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.personal.scales</td>\n",
       "      <td>vitek</td>\n",
       "      <td>12.48</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>19.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564167</th>\n",
       "      <td>2020-11-21 10:10:30</td>\n",
       "      <td>2388440981134693944</td>\n",
       "      <td>2273948184839454837</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>moulinex</td>\n",
       "      <td>41.64</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>19.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564168</th>\n",
       "      <td>2020-11-21 10:10:30</td>\n",
       "      <td>2388440981134693944</td>\n",
       "      <td>1515966223509127566</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.blender</td>\n",
       "      <td>redmond</td>\n",
       "      <td>53.22</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>19.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>563495 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                event_time             order_id           product_id  \\\n",
       "0      2020-04-24 11:50:39  2294359932054536986  1515966223509089906   \n",
       "2      2020-04-24 14:37:43  2294444024058086220  2273948319057183658   \n",
       "4      2020-04-24 19:16:21  2294584263154074236  2273948316817424439   \n",
       "5      2020-04-26 08:45:57  2295716521449619559  1515966223509261697   \n",
       "6      2020-04-26 09:33:47  2295740594749702229  1515966223509104892   \n",
       "10     2020-04-26 14:55:26  2295902490203259134  2273948311742316796   \n",
       "11     2020-04-26 23:35:39  2296164324487463110  1515966223509259473   \n",
       "12     2020-04-27 07:24:51  2296400480990920715  2273948308663698152   \n",
       "13     2020-04-27 14:57:22  2296628237930857206  1515966223509089660   \n",
       "16     2020-04-28 02:21:45  2296972701060825130  1515966223509104683   \n",
       "17     2020-04-28 03:47:48  2297016008231092565  1515966223509089780   \n",
       "18     2020-04-28 04:25:00  2297034737199350540  1515966223509719628   \n",
       "20     2020-04-28 09:01:47  2297174044555871159  2273948222957290212   \n",
       "22     2020-04-28 11:36:47  2297252054407578606  2273948303177548033   \n",
       "25     2020-04-29 03:25:12  2297729407910937541  1515966223509105105   \n",
       "27     2020-04-29 04:46:39  2297770405059888020  1515966223509088578   \n",
       "28     2020-04-29 06:20:39  2297817716758675935  1515966223510177666   \n",
       "30     2020-04-29 06:21:53  2297818341995184662  1515966223509382310   \n",
       "31     2020-04-29 08:56:24  2297896107595793042  1515966223509104759   \n",
       "32     2020-04-29 10:38:40  2297947579247231353  1515966223509881617   \n",
       "33     2020-04-29 10:46:21  2297951447913857849  2273948319057183658   \n",
       "34     2020-04-29 10:46:21  2297951447913857849  1515966223509088613   \n",
       "35     2020-04-29 11:59:50  2297988436574864215  1515966223509089486   \n",
       "36     2020-04-29 11:59:50  2297988436574864215  1515966223509259423   \n",
       "37     2020-04-29 12:00:59  2297989017720849297  1515966223509088635   \n",
       "39     2020-04-29 12:05:34  2297991320922226852  1515966223509123236   \n",
       "40     2020-04-29 12:05:34  2297991320922226852  1515966223509127751   \n",
       "41     2020-04-29 12:09:12  2297993149328392585  1515966223509302893   \n",
       "42     2020-04-29 12:09:13  2297993157859606924  1515966223509089076   \n",
       "43     2020-04-29 12:09:53  2297993489704550822  2273948319115903999   \n",
       "...                    ...                  ...                  ...   \n",
       "564139 2020-11-21 09:44:10  2388440981134693921  1515966223510403240   \n",
       "564140 2020-11-21 09:46:42  2388440981134693922  1515966223509089825   \n",
       "564141 2020-11-21 09:49:31  2388440981134693923  2374771446888006239   \n",
       "564142 2020-11-21 09:49:31  2388440981134693923  2388434452475891827   \n",
       "564143 2020-11-21 09:50:11  2388440981134693924  1515966223510668566   \n",
       "564144 2020-11-21 09:50:24  2388440981134693925  1515966223513916332   \n",
       "564145 2020-11-21 09:51:55  2388440981134693926  2388434452473912695   \n",
       "564146 2020-11-21 09:52:28  2388440981134693927  1515966223509108002   \n",
       "564147 2020-11-21 09:54:18  2388440981134693928  1515966223509106026   \n",
       "564148 2020-11-21 09:54:18  2388440981134693928  2388434452475891826   \n",
       "564149 2020-11-21 09:56:53  2388440981134693929  2273948216456118473   \n",
       "564150 2020-11-21 09:59:01  2388440981134693930  1515966223510177554   \n",
       "564151 2020-11-21 09:59:01  2388440981134693930  2273948237628965713   \n",
       "564152 2020-11-21 09:59:55  2388440981134693931  2388434452473986696   \n",
       "564153 2020-11-21 10:00:18  2388440981134693932  1515966223509122449   \n",
       "564154 2020-11-21 10:01:19  2388440981134693933  1515966223509639109   \n",
       "564155 2020-11-21 10:02:04  2388440981134693934  1515966223509630995   \n",
       "564156 2020-11-21 10:02:06  2388440981134693935  2273948303068496095   \n",
       "564157 2020-11-21 10:04:07  2388440981134693936  1515966223509353752   \n",
       "564158 2020-11-21 10:04:42  2388440981134693937  1515966223509088671   \n",
       "564159 2020-11-21 10:05:04  2388440981134693938  1515966223509088509   \n",
       "564160 2020-11-21 10:06:01  2388440981134693939  1515966223509090132   \n",
       "564161 2020-11-21 10:08:14  2388440981134693940  2273948246856434093   \n",
       "564162 2020-11-21 10:08:54  2388440981134693941  1515966223519279912   \n",
       "564163 2020-11-21 10:08:54  2388440981134693941  1515966223509088622   \n",
       "564164 2020-11-21 10:10:01  2388440981134693942  1515966223526602848   \n",
       "564165 2020-11-21 10:10:13  2388440981134693943  1515966223509089282   \n",
       "564166 2020-11-21 10:10:30  2388440981134693944  1515966223509089917   \n",
       "564167 2020-11-21 10:10:30  2388440981134693944  2273948184839454837   \n",
       "564168 2020-11-21 10:10:30  2388440981134693944  1515966223509127566   \n",
       "\n",
       "         category_id                      category_code       brand    price  \\\n",
       "0       2.268105e+18                 electronics.tablet     samsung   162.01   \n",
       "2       2.268105e+18        electronics.audio.headphone      huawei    77.52   \n",
       "4       2.268105e+18                                NaN     karcher   217.57   \n",
       "5       2.268105e+18            furniture.kitchen.table     maestro    39.33   \n",
       "6       2.268105e+18             electronics.smartphone       apple  1387.01   \n",
       "10      2.268105e+18   appliances.kitchen.refrigerators          lg   462.94   \n",
       "11      2.268105e+18         appliances.personal.scales     polaris    30.07   \n",
       "12      2.374499e+18               electronics.video.tv     samsung   416.64   \n",
       "13      2.268105e+18           computers.components.cpu       intel    91.41   \n",
       "16      2.268105e+18                                NaN     philips    23.13   \n",
       "17      2.268105e+18                 computers.notebook        asus   509.24   \n",
       "18      2.268106e+18                                NaN         NaN     6.94   \n",
       "20      2.268105e+18      computers.peripherals.monitor     samsung   254.61   \n",
       "22      2.268105e+18      computers.peripherals.printer       epson   164.33   \n",
       "25      2.268105e+18                                NaN         sbs     0.02   \n",
       "27      2.268105e+18             electronics.smartphone     samsung   300.90   \n",
       "28      2.268105e+18                                NaN      geyzer     6.23   \n",
       "30      2.268105e+18          appliances.kitchen.kettle       tefal     7.85   \n",
       "31      2.268105e+18             electronics.smartphone     samsung   300.90   \n",
       "32      2.268105e+18        computers.components.memory    kingston    49.98   \n",
       "33      2.268105e+18        electronics.audio.headphone      huawei    77.52   \n",
       "34      2.268105e+18        electronics.audio.headphone       apple   203.68   \n",
       "35      2.268105e+18             electronics.smartphone     samsung   115.72   \n",
       "36      2.268105e+18                 electronics.clocks       apple   317.11   \n",
       "37      2.374499e+18               electronics.video.tv         ava   162.01   \n",
       "39      2.268105e+18                                NaN     barjher     9.24   \n",
       "40      2.268105e+18         appliances.personal.scales     polaris    21.97   \n",
       "41      2.268105e+18       country_yard.weather_station      beurer    23.12   \n",
       "42      2.268105e+18             electronics.smartphone     samsung   161.78   \n",
       "43      2.268105e+18         appliances.kitchen.blender     polaris    43.96   \n",
       "...              ...                                ...         ...      ...   \n",
       "564139  2.268105e+18             electronics.smartphone      huawei   300.90   \n",
       "564140  2.268105e+18      appliances.environment.vacuum     samsung    69.42   \n",
       "564141  2.268105e+18                      apparel.glove        sony   403.45   \n",
       "564142  2.268105e+18     computers.peripherals.joystick        sony   102.52   \n",
       "564143  2.268105e+18                                NaN       huter   474.75   \n",
       "564144  2.268105e+18                                NaN         ava    78.68   \n",
       "564145  2.268105e+18                 computers.notebook      lenovo   884.24   \n",
       "564146  2.268105e+18          appliances.kitchen.washer     indesit   231.46   \n",
       "564147  2.268105e+18                 electronics.clocks     samsung   162.01   \n",
       "564148  2.268105e+18     computers.peripherals.joystick        sony    77.75   \n",
       "564149  2.268105e+18           appliances.kitchen.mixer     polaris    30.07   \n",
       "564150  2.268105e+18                                NaN         dji     0.23   \n",
       "564151  2.268105e+18                                NaN         dji     0.23   \n",
       "564152  2.268105e+18  appliances.environment.air_heater         ava    43.96   \n",
       "564153  2.268105e+18       appliances.personal.massager    gezatone    53.22   \n",
       "564154  2.268105e+18            appliances.kitchen.hood  electrolux   509.24   \n",
       "564155  2.268105e+18              electronics.telephone        mart   231.46   \n",
       "564156  2.268105e+18             electronics.smartphone      huawei   185.16   \n",
       "564157  2.268105e+18  appliances.environment.air_heater     resanta    46.97   \n",
       "564158  2.268105e+18             electronics.smartphone       apple   925.67   \n",
       "564159  2.268105e+18             electronics.smartphone       apple   925.67   \n",
       "564160  2.268105e+18      computers.peripherals.printer       canon   299.98   \n",
       "564161  2.268105e+18                                NaN      xiaomi    16.18   \n",
       "564162  2.374499e+18               electronics.video.tv     samsung  1736.09   \n",
       "564163  2.374499e+18               electronics.video.tv          lg   370.35   \n",
       "564164  2.268105e+18             electronics.smartphone        oppo   138.87   \n",
       "564165  2.268105e+18             electronics.smartphone       apple   418.96   \n",
       "564166  2.268105e+18         appliances.personal.scales       vitek    12.48   \n",
       "564167  2.268105e+18                                NaN    moulinex    41.64   \n",
       "564168  2.268105e+18         appliances.kitchen.blender     redmond    53.22   \n",
       "\n",
       "             user_id   age sex local  month  week  day  hour  \n",
       "0       1.515916e+18  24.0   女    海南      4     4   24    11  \n",
       "2       1.515916e+18  38.0   女    北京      4     4   24    14  \n",
       "4       1.515916e+18  32.0   女    广东      4     4   24    19  \n",
       "5       1.515916e+18  20.0   男    重庆      4     6   26     8  \n",
       "6       1.515916e+18  21.0   男    北京      4     6   26     9  \n",
       "10      1.515916e+18  24.0   男    北京      4     6   26    14  \n",
       "11      1.515916e+18  32.0   男    广东      4     6   26    23  \n",
       "12      1.515916e+18  16.0   女    北京      4     0   27     7  \n",
       "13      1.515916e+18  49.0   女    浙江      4     0   27    14  \n",
       "16      1.515916e+18  21.0   男    广东      4     1   28     2  \n",
       "17      1.515916e+18  43.0   女    广东      4     1   28     3  \n",
       "18      1.515916e+18  37.0   女    北京      4     1   28     4  \n",
       "20      1.515916e+18  27.0   女    上海      4     1   28     9  \n",
       "22      1.515916e+18  48.0   女    江苏      4     1   28    11  \n",
       "25      1.515916e+18  47.0   男    广东      4     2   29     3  \n",
       "27      1.515916e+18  28.0   女    海南      4     2   29     4  \n",
       "28      1.515916e+18  24.0   男    广东      4     2   29     6  \n",
       "30      1.515916e+18  41.0   男    广东      4     2   29     6  \n",
       "31      1.515916e+18  41.0   女    北京      4     2   29     8  \n",
       "32      1.515916e+18  22.0   男    浙江      4     2   29    10  \n",
       "33      1.515916e+18  38.0   女    北京      4     2   29    10  \n",
       "34      1.515916e+18  38.0   女    北京      4     2   29    10  \n",
       "35      1.515916e+18  47.0   女    重庆      4     2   29    11  \n",
       "36      1.515916e+18  47.0   女    重庆      4     2   29    11  \n",
       "37      1.515916e+18  37.0   女    北京      4     2   29    12  \n",
       "39      1.515916e+18  18.0   男    上海      4     2   29    12  \n",
       "40      1.515916e+18  18.0   男    上海      4     2   29    12  \n",
       "41      1.515916e+18  44.0   男    广东      4     2   29    12  \n",
       "42      1.515916e+18  38.0   女    重庆      4     2   29    12  \n",
       "43      1.515916e+18  50.0   男    湖南      4     2   29    12  \n",
       "...              ...   ...  ..   ...    ...   ...  ...   ...  \n",
       "564139  1.515916e+18  35.0   女    广东     11     5   21     9  \n",
       "564140  1.515916e+18  30.0   女    上海     11     5   21     9  \n",
       "564141  1.515916e+18  35.0   女    上海     11     5   21     9  \n",
       "564142  1.515916e+18  35.0   女    上海     11     5   21     9  \n",
       "564143  1.515916e+18  21.0   男    上海     11     5   21     9  \n",
       "564144  1.515916e+18  44.0   男    北京     11     5   21     9  \n",
       "564145  1.515916e+18  30.0   女    广东     11     5   21     9  \n",
       "564146  1.515916e+18  44.0   男    北京     11     5   21     9  \n",
       "564147  1.515916e+18  35.0   女    浙江     11     5   21     9  \n",
       "564148  1.515916e+18  35.0   女    浙江     11     5   21     9  \n",
       "564149  1.515916e+18  44.0   男    上海     11     5   21     9  \n",
       "564150  1.515916e+18  31.0   女    上海     11     5   21     9  \n",
       "564151  1.515916e+18  31.0   女    上海     11     5   21     9  \n",
       "564152  1.515916e+18  29.0   男    重庆     11     5   21     9  \n",
       "564153  1.515916e+18  18.0   女    浙江     11     5   21    10  \n",
       "564154  1.515916e+18  39.0   男    北京     11     5   21    10  \n",
       "564155  1.515916e+18  48.0   女    重庆     11     5   21    10  \n",
       "564156  1.515916e+18  47.0   男    江苏     11     5   21    10  \n",
       "564157  1.515916e+18  25.0   女    海南     11     5   21    10  \n",
       "564158  1.515916e+18  27.0   女    上海     11     5   21    10  \n",
       "564159  1.515916e+18  32.0   男    广东     11     5   21    10  \n",
       "564160  1.515916e+18  39.0   女    北京     11     5   21    10  \n",
       "564161  1.515916e+18  39.0   女    广东     11     5   21    10  \n",
       "564162  1.515916e+18  25.0   女    上海     11     5   21    10  \n",
       "564163  1.515916e+18  25.0   女    上海     11     5   21    10  \n",
       "564164  1.515916e+18  21.0   男    上海     11     5   21    10  \n",
       "564165  1.515916e+18  21.0   女    北京     11     5   21    10  \n",
       "564166  1.515916e+18  19.0   女    上海     11     5   21    10  \n",
       "564167  1.515916e+18  19.0   女    上海     11     5   21    10  \n",
       "564168  1.515916e+18  19.0   女    上海     11     5   21    10  \n",
       "\n",
       "[563495 rows x 15 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 重复值检查并删除\n",
    "df.duplicated()\n",
    "df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 判断异常值\n",
    "df=df.loc[~(df['price'] < 0)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 店铺销售情况：\n",
    "    每月销售金额\n",
    "    每月消费人数\n",
    "    每月订单数量\n",
    "    每月客单价\n",
    "    不同省份用户数量\n",
    "    不同省份订单数量\n",
    "    不同省份成交金额\n",
    "    订单数随星期分布\n",
    "    订单随小时分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c3b00b8>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3a29e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 每月成交额\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby(by='month')['price'].sum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c489be0>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14c3beb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#每月消费人数\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby(by='month')['user_id'].nunique().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdb63978>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e1890b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#每月订单数量\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby(by='month')['order_id'].nunique().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论\n",
    "   - 订单数量有三个小高峰，分别在5月，8月，19月，可能与五一小长假，开学季，十一小长假有关 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x207f4710>]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20774438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 每月客单价\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "data=df.groupby(by='month')['price'].sum()/df.groupby(by='month')['order_id'].nunique()\n",
    "plt.plot(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论：\n",
    "   - 客单价由2个小高峰，分布在3月和8月\n",
    "   - 8月份的客单价最高，说明8月份的需求量最高，客单价、订单数量达到顶峰，每年八月份是店铺全年营收的关键期，店铺要提前准备，保证货源供应，满足客户需求量。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20b61908>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20b58e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pylab import *\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "#不同省份用户数量\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('local')['user_id'].nunique().sort_values().plot.barh()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25062f28>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x250cfb00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 不同省份订单数量\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('local')['order_id'].nunique().sort_values().plot.barh()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25144668>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25155908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 不同省份成交金额\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('local')['price'].sum().sort_values().plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论\n",
    "   - 1、北上广的用户数量、订单数量、成交金额都稳居前三。\n",
    "   - 2、湖南的客户数量最好，但是订单数，客单价仅次于北上广，湖南客户的潜力巨大，需要加大宣传，增加客户数量。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'订单数随星期变化')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25845a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 下单星期分布\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('week')['order_id'].nunique().plot.bar()\n",
    "plt.xticks(arange(7),['周一','周二','周三','周四','周五','周六','周日'],rotation=0)\n",
    "plt.xlabel('星期')\n",
    "plt.ylabel('订单数')\n",
    "plt.title('订单数随星期变化')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论\n",
    "   - 周一到周五订单数维持稳定，周六是订单数量最高，周日次之。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'订单随小时数变化')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x257865f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 下单小时的分布\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('hour')['order_id'].nunique().plot()\n",
    "plt.xlabel('小时')\n",
    "plt.ylabel('订单数')\n",
    "plt.title('订单随小时数变化')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论\n",
    "   - 订单集中在早晨，8点到13点是消费高峰期，这段时间要注意维持好网站的稳定性。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 用户消费行为分析：\n",
    "    用户消费次数\n",
    "    用户消费金额\n",
    "    消费次数与消费金额关系\n",
    "    用户购买周期\n",
    "    新用户、活跃用户、不活跃用户、回流用户、回流率\n",
    "    复购率和回流率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 用户消费次数(对用户分类)\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('user_id')['order_id'].nunique().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 用户消费金额\n",
    "fig=plt.figure(figsize=(12,4))\n",
    "df.groupby('user_id')['price'].sum().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 消费人群分层情况：\n",
    "    按性别分析\n",
    "    按年龄段分析\n",
    "    按喜好品牌分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}