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126 lines
2.6 KiB
Markdown
126 lines
2.6 KiB
Markdown
# 电影月度票房
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**文档ID**: 113
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**原始链接**: https://tushare.pro/document/2?doc_id=113
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---
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## 电影月度票房
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接口：bo_monthly描述：获取电影月度票房数据数据更新：本月更新上一月数据数据历史： 数据从2008年1月1日开始，超过10年历史数据。数据权限：用户需要至少500积分才可以调取，具体请参阅积分获取办法
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>date</td>
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<td>str</td>
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<td>Y</td>
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<td>日期（每月1号，格式YYYYMMDD）</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>date</td>
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<td>str</td>
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<td>Y</td>
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<td>日期</td>
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</tr>
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<tr>
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<td>name</td>
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<td>str</td>
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<td>Y</td>
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<td>影片名称</td>
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</tr>
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<tr>
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<td>list_date</td>
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<td>str</td>
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<td>Y</td>
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<td>上映日期</td>
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</tr>
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<tr>
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<td>avg_price</td>
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<td>float</td>
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<td>Y</td>
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<td>平均票价</td>
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</tr>
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<tr>
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<td>month_amount</td>
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<td>float</td>
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<td>Y</td>
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<td>当月票房（万）</td>
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</tr>
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<tr>
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<td>list_day</td>
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<td>int</td>
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<td>Y</td>
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<td>月内天数</td>
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</tr>
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<tr>
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<td>p_pc</td>
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<td>int</td>
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<td>Y</td>
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<td>场均人次</td>
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</tr>
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<tr>
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<td>wom_index</td>
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<td>float</td>
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<td>Y</td>
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<td>口碑指数</td>
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</tr>
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<tr>
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<td>m_ratio</td>
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<td>float</td>
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<td>Y</td>
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<td>月度占比（%）</td>
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</tr>
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<tr>
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<td>rank</td>
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<td>int</td>
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<td>Y</td>
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<td>排名</td>
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</tr>
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</tbody></table>
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接口使用
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```
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pro = ts.pro_api()
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#或者
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#pro = ts.pro_api('your token')
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df = pro.bo_monthly(date='20180901')
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```
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数据示例
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```
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date name list_date avg_price month_amount list_day p_pc \
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0 20180901 碟中谍6：全面瓦解 2018-08-31 37.0 104316.0 30 14
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1 20180901 反贪风暴3 2018-09-14 36.0 40473.0 17 11
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2 20180901 黄金兄弟 2018-09-21 35.0 23242.0 10 14
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3 20180901 蚁人2：黄蜂女现身 2018-08-24 35.0 14641.0 30 8
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4 20180901 悲伤逆流成河 2018-09-21 34.0 14054.0 10 14
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5 20180901 阿尔法：狼伴归途 2018-09-07 34.0 11298.0 24 7
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6 20180901 江湖儿女 2018-09-21 34.0 5373.0 10 8
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7 20180901 快把我哥带走 2018-08-17 32.0 5365.0 30 7
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8 20180901 镰仓物语 2018-09-14 32.0 4509.0 17 6
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9 20180901 大闹西游 2018-09-22 34.0 3419.0 9 10
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```
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