“季频业绩快报”的版本间的差异
来自www.baostock.com
(→季频公司业绩快报:query_performance_express_report()) |
(→季频公司业绩快报:query_performance_express_report()) |
||
第43行: | 第43行: | ||
|performanceExpUpdateDate | |performanceExpUpdateDate | ||
|performanceExpressTotalAsset | |performanceExpressTotalAsset | ||
+ | |performanceExpressNetAsset | ||
|- | |- | ||
|sh.600000 | |sh.600000 | ||
第49行: | 第50行: | ||
|2015-01-06 | |2015-01-06 | ||
|4195602000000.000000 | |4195602000000.000000 | ||
+ | |260011000000.000000 | ||
|- | |- | ||
|sh.600000 | |sh.600000 | ||
第55行: | 第57行: | ||
|2016-01-05 | |2016-01-05 | ||
|5043060000000.000000 | |5043060000000.000000 | ||
+ | |285245000000.000000 | ||
|- | |- | ||
|sh.600000 | |sh.600000 | ||
第61行: | 第64行: | ||
|2017-01-04 | |2017-01-04 | ||
|5857263000000.000000 | |5857263000000.000000 | ||
+ | |338027000000.000000 | ||
|} | |} | ||
− | |||
− | |||
{| class="wikitable" | {| class="wikitable" | ||
|+返回示例数据 | |+返回示例数据 | ||
|- | |- | ||
− | |||
|performanceExpressEPSChgPct | |performanceExpressEPSChgPct | ||
|performanceExpressROEWa | |performanceExpressROEWa | ||
第74行: | 第75行: | ||
|performanceExpressOPYOY | |performanceExpressOPYOY | ||
|- | |- | ||
− | |||
|0.326910 | |0.326910 | ||
|21.020000 | |21.020000 | ||
第81行: | 第81行: | ||
|0.153803 | |0.153803 | ||
|- | |- | ||
− | |||
|0.191493 | |0.191493 | ||
|18.820000 | |18.820000 | ||
第88行: | 第87行: | ||
|0.069764 | |0.069764 | ||
|- | |- | ||
− | |||
|0.115412 | |0.115412 | ||
|16.350000 | |16.350000 | ||
第95行: | 第93行: | ||
|0.054384 | |0.054384 | ||
|} | |} | ||
+ | |||
{| class="wikitable" | {| class="wikitable" | ||
|+返回数据说明 | |+返回数据说明 |
2018年12月2日 (日) 15:05的版本
季频公司业绩快报:query_performance_express_report()
方法说明:查询季频公司业绩快报信息,可以通过参数设置获取起止年份数据,提供2006年至今数据。 返回类型:pandas的DataFrame类型。 使用示例
import baostock as bs import pandas as pd #### 登陆系统 #### lg = bs.login() # 显示登陆返回信息 print('login respond error_code:'+lg.error_code) print('login respond error_msg:'+lg.error_msg) #### 获取公司业绩快报 #### rs = bs.query_performance_express_report("sh.600000", start_date="2015-01-01", end_date="2017-12-31") print('query_performance_express_report respond error_code:'+rs.error_code) print('query_performance_express_report respond error_msg:'+rs.error_msg) result_list = [] while (rs.error_code == '0') & rs.next(): result_list.append(rs.get_row_data()) # 获取一条记录,将记录合并在一起 result = pd.DataFrame(result_list, columns=rs.fields) #### 结果集输出到csv文件 #### result.to_csv("D:\\performance_express_report.csv", encoding="gbk", index=False) print(result) #### 登出系统 #### bs.logout()
参数含义:
- code:股票代码,sh或sz.+6位数字代码,或者指数代码,如:sh.601398。sh:上海;sz:深圳。此参数不可为空;
- start_date:开始日期,发布日期或更新日期在这个范围内;
- end_date:结束日期,发布日期或更新日期在这个范围内。
code | performanceExpPubDate | performanceExpStatDate | performanceExpUpdateDate | performanceExpressTotalAsset | performanceExpressNetAsset |
sh.600000 | 2015-01-06 | 2014-12-31 | 2015-01-06 | 4195602000000.000000 | 260011000000.000000 |
sh.600000 | 2016-01-05 | 2015-12-31 | 2016-01-05 | 5043060000000.000000 | 285245000000.000000 |
sh.600000 | 2017-01-04 | 2016-12-31 | 2017-01-04 | 5857263000000.000000 | 338027000000.000000 |
performanceExpressEPSChgPct | performanceExpressROEWa | performanceExpressEPSDiluted | performanceExpressGRYOY | performanceExpressOPYOY |
0.326910 | 21.020000 | 2.520000 | 0.228390 | 0.153803 |
0.191493 | 18.820000 | 2.660000 | 0.192395 | 0.069764 |
0.115412 | 16.350000 | 2.400000 | 0.097234 | 0.054384 |
参数名称 | 参数描述 |
code | 证券代码 |
performanceExpPubDate | 业绩快报披露日 |
performanceExpStatDate | 业绩快报统计日期 |
performanceExpUpdateDate | 业绩快报披露日(最新) |
performanceExpressTotalAsset | 业绩快报总资产 |
performanceExpressNetAsset | 业绩快报净资产 |
performanceExpressEPSChgPct | 业绩每股收益增长率 |
performanceExpressROEWa | 业绩快报净资产收益率ROE-加权 |
performanceExpressEPSDiluted | 业绩快报每股收益EPS-摊薄 |
performanceExpressGRYOY | 业绩快报营业总收入同比 |
performanceExpressOPYOY | 业绩快报营业利润同比 |