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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "628d34fa-1e53-4462-b887-c5f31fd365e6",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd \n",
"import matplotlib.pyplot as plt\n",
"import re\n",
"from pathlib import Path\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "fe48bf4f-32ef-4b91-a947-55ac9f498ed2",
"metadata": {},
"outputs": [],
"source": [
"\n",
"# 配置matplotlib中文显示\n",
"plt.rcParams['font.sans-serif'] = ['SimHei']\n",
"plt.rcParams['axes.unicode_minus'] = False\n",
"plt.rcParams['font.size'] = 10\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "baaa1d1e-b509-414d-b1e1-fb86a6d6e652",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" on_mean off_mean\n",
"on_station \n",
"ST117 6.733333 7.466667\n",
"ST020 29.059489 90.325467\n",
"ST042 109.373853 27.002294\n",
"ZST013 742.166667 0.166667\n",
"ST219 100.594037 109.727064\n"
]
}
],
"source": [
"\n",
"# ==================== 加载数据 ====================\n",
"Train_Station = pd.read_csv('../tmp/Train_Station.csv', index_col=None, encoding='utf-8')\n",
"\n",
"# ==================== 代码9-3: 各站点上下车人数分析 ====================\n",
"# 计算各站点平均上下车人数\n",
"station_stats = Train_Station.groupby('on_station').agg({\n",
" 'on_man': 'mean',\n",
" 'off_man': 'mean'\n",
"}).rename(columns={'on_man': 'on_mean', 'off_man': 'off_mean'})\n",
"\n",
"# 随机抽样20个站点\n",
"station_sample = station_stats.sample(20, random_state=44)\n",
"\n",
"# 绘图\n",
"ax = station_sample.plot(kind='bar', title='各站点上下车人数分析', figsize=(10, 5))\n",
"plt.ylabel('上下车人数(人)', fontsize=10)\n",
"plt.xlabel('站点', fontsize=10)\n",
"plt.title('各站点上下车人数分析', fontsize=11)\n",
"plt.xticks(rotation=45, ha='right', fontsize=9)\n",
"plt.yticks(fontsize=9)\n",
"plt.legend(fontsize=9)\n",
"plt.tight_layout()\n",
"plt.show()\n",
"print(station_sample.head())"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "589d5eeb-a16f-4e92-a5ca-ff894273a207",
"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>on_station</th>\n",
" <th>on_man</th>\n",
" <th>on_time</th>\n",
" <th>off_man</th>\n",
" <th>off_time</th>\n",
" <th>date</th>\n",
" <th>train</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>ST074</td>\n",
" <td>891</td>\n",
" <td>13:00</td>\n",
" <td>0</td>\n",
" <td>13:00</td>\n",
" <td>2015-01-01</td>\n",
" <td>PK11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>ST219</td>\n",
" <td>69</td>\n",
" <td>13:41</td>\n",
" <td>161</td>\n",
" <td>13:39</td>\n",
" <td>2015-01-01</td>\n",
" <td>PK11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>ST054</td>\n",
" <td>150</td>\n",
" <td>14:37</td>\n",
" <td>40</td>\n",
" <td>14:34</td>\n",
" <td>2015-01-01</td>\n",
" <td>PK11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>ST036</td>\n",
" <td>72</td>\n",
" <td>15:22</td>\n",
" <td>25</td>\n",
" <td>15:19</td>\n",
" <td>2015-01-01</td>\n",
" <td>PK11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>ST313</td>\n",
" <td>432</td>\n",
" <td>16:30</td>\n",
" <td>356</td>\n",
" <td>16:19</td>\n",
" <td>2015-01-01</td>\n",
" <td>PK11</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",
" </tr>\n",
" <tr>\n",
" <th>396055</th>\n",
" <td>ST233</td>\n",
" <td>8</td>\n",
" <td>23:39</td>\n",
" <td>41</td>\n",
" <td>23:34</td>\n",
" <td>2016-03-20</td>\n",
" <td>ZZ02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396056</th>\n",
" <td>ST111-01</td>\n",
" <td>11</td>\n",
" <td>00:57</td>\n",
" <td>134</td>\n",
" <td>00:31</td>\n",
" <td>2016-03-20</td>\n",
" <td>ZZ02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396057</th>\n",
" <td>ST326</td>\n",
" <td>1</td>\n",
" <td>02:05</td>\n",
" <td>77</td>\n",
" <td>02:03</td>\n",
" <td>2016-03-20</td>\n",
" <td>ZZ02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396058</th>\n",
" <td>ST250</td>\n",
" <td>0</td>\n",
" <td>03:04</td>\n",
" <td>78</td>\n",
" <td>03:00</td>\n",
" <td>2016-03-20</td>\n",
" <td>ZZ02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396059</th>\n",
" <td>ST190-01</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>262</td>\n",
" <td>04:56</td>\n",
" <td>2016-03-20</td>\n",
" <td>ZZ02</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>396060 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" on_station on_man on_time off_man off_time date train\n",
"0 ST074 891 13:00 0 13:00 2015-01-01 PK11\n",
"1 ST219 69 13:41 161 13:39 2015-01-01 PK11\n",
"2 ST054 150 14:37 40 14:34 2015-01-01 PK11\n",
"3 ST036 72 15:22 25 15:19 2015-01-01 PK11\n",
"4 ST313 432 16:30 356 16:19 2015-01-01 PK11\n",
"... ... ... ... ... ... ... ...\n",
"396055 ST233 8 23:39 41 23:34 2016-03-20 ZZ02\n",
"396056 ST111-01 11 00:57 134 00:31 2016-03-20 ZZ02\n",
"396057 ST326 1 02:05 77 02:03 2016-03-20 ZZ02\n",
"396058 ST250 0 03:04 78 03:00 2016-03-20 ZZ02\n",
"396059 ST190-01 0 0 262 04:56 2016-03-20 ZZ02\n",
"\n",
"[396060 rows x 7 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Train_Station"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "860cbec2-667b-428a-8bc4-7ef2878c0d6d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1200x400 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# ==================== 代码9-4: ST111-01站点时段客流分析 ====================\n",
"# 筛选ST111-01站点数据\n",
"Train_ST111_01 = Train_Station[Train_Station['on_station'] == 'ST111-01'].copy()\n",
"\n",
"# 提取小时数\n",
"Train_ST111_01['on_hour'] = pd.to_datetime(Train_ST111_01['on_time'], format='%H:%M', errors='coerce').dt.hour\n",
"Train_ST111_01['off_hour'] = pd.to_datetime(Train_ST111_01['off_time'], format='%H:%M', errors='coerce').dt.hour\n",
"\n",
"# 计算各时段平均客流\n",
"on_mean_t = Train_ST111_01.groupby('on_hour')['on_man'].mean()\n",
"off_mean_t = Train_ST111_01.groupby('off_hour')['off_man'].mean()\n",
"\n",
"# 绘制上下车客流对比图\n",
"fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n",
" \n",
"# 上车客流图\n",
"on_mean_t.plot(kind='bar', ax=axes[0], color='blue')\n",
"axes[0].set_title('每个时段上车客流量', fontsize=11)\n",
"axes[0].set_xlabel('时间(小时)', fontsize=10)\n",
"axes[0].set_ylabel('上车人数(人)', fontsize=10)\n",
"axes[0].tick_params(axis='both', labelsize=9)\n",
"axes[0].set_xticklabels(axes[0].get_xticklabels(), rotation=0)\n",
"\n",
"# 下车客流图\n",
"off_mean_t.plot(kind='bar', ax=axes[1], color='red')\n",
"axes[1].set_title('每个时段下车客流量', fontsize=11)\n",
"axes[1].set_xlabel('时间(小时)', fontsize=10)\n",
"axes[1].set_ylabel('下车人数(人)', fontsize=10)\n",
"axes[1].tick_params(axis='both', labelsize=9)\n",
"axes[1].set_xticklabels(axes[1].get_xticklabels(), rotation=0)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "375cb6f9-4fac-480c-8de2-bc0778998a8c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"RangeIndex(start=0, stop=436, step=1)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"on_h.index"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "e4edc29c-c96e-4c66-8ccf-37d32bb4765e",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\86182\\AppData\\Local\\Temp\\ipykernel_37872\\4003352650.py:25: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
"\n",
"For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
"\n",
"\n",
" on_h['holiday'].fillna('工作日', inplace=True)\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1400x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"# ==================== 代码9-5: 节假日客流变化分析 ====================\n",
"# 读取节假日数据\n",
"holiday = pd.read_csv('../data/2015-2016节假日.csv', encoding='utf-8')\n",
"\n",
"# 标准化日期格式\n",
"def standardize_date(date_str):\n",
" numbers = re.findall(r'\\d+', str(date_str))\n",
" if len(numbers) >= 3:\n",
" year, month, day = numbers[0], numbers[1].zfill(2), numbers[2].zfill(2)\n",
" return f\"{year}-{month}-{day}\"\n",
" return date_str\n",
"\n",
"holiday['date'] = holiday.iloc[:, 0].apply(standardize_date)\n",
"holiday = holiday[['date', 'holiday']]\n",
"\n",
"# 保存处理后的节假日数据\n",
"Path('../tmp').mkdir(parents=True, exist_ok=True)\n",
"holiday.to_csv('../tmp/holiday.csv', index=False, encoding='utf-8')\n",
"\n",
"# 按日期汇总ST111-01站点上车人数\n",
"on_h = Train_ST111_01.groupby('date')['on_man'].sum().reset_index()\n",
"\n",
"# 合并节假日信息\n",
"on_h = on_h.merge(holiday, on='date', how='left')\n",
"on_h['holiday'].fillna('工作日', inplace=True)\n",
"\n",
"# 保存结果\n",
"on_h.to_csv('../tmp/on_h.csv', index=True, encoding='utf-8')\n",
"\n",
"# 绘制节假日影响图\n",
"fig, ax = plt.subplots(figsize=(14, 6))\n",
"\n",
"# 绘制所有日期的客流趋势\n",
"ax.plot(range(len(on_h)), on_h['on_man'], \n",
" color='black', label='全部日期', linewidth=1.5)\n",
"\n",
"# 标记节假日\n",
"holiday_mask = on_h['holiday'] == '小长假'\n",
"ax.scatter(on_h.index[holiday_mask], \n",
" on_h.loc[holiday_mask, 'on_man'],\n",
" color='red', s=60, label='小长假', zorder=5)\n",
"\n",
"ax.set_xlabel('日期索引', fontsize=10)\n",
"ax.set_ylabel('上车人数(人)', fontsize=10)\n",
"ax.set_title('节假日客流量变化', fontsize=11)\n",
"ax.legend(loc='upper center', fontsize=9)\n",
"ax.tick_params(labelsize=9)\n",
"plt.xticks(range(0, len(on_h), 50), rotation=30)\n",
"plt.tight_layout()\n",
"plt.show()"
]
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