# jqdatapy **Repository Path**: xijie12/jqdatapy ## Basic Information - **Project Name**: jqdatapy - **Description**: python wrapper for jqdata http api - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2025-07-27 - **Last Updated**: 2025-07-27 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README [![github](https://img.shields.io/github/stars/zvtvz/jqdatapy.svg)](https://github.com/zvtvz/jqdatapy) [![image](https://img.shields.io/pypi/v/jqdatapy.svg)](https://pypi.org/project/jqdatapy/) [![image](https://img.shields.io/pypi/l/jqdatapy.svg)](https://pypi.org/project/jqdatapy/) [![image](https://img.shields.io/pypi/pyversions/jqdatapy.svg)](https://pypi.org/project/jqdatapy/) [![Build Status](https://api.travis-ci.org/zvtvz/jqdatapy.svg?branch=master)](https://travis-ci.org/zvtvz/jqdatapy) [![HitCount](http://hits.dwyl.com/zvtvz/jqdatapy.svg)](http://hits.dwyl.com/zvtvz/jqdatapy) ### 说明 jqdatapy为聚宽数据[http接口](https://dataapi.joinquant.com/docs)的python封装，为官方[jqdatasdk](https://github.com/JoinQuant/jqdatasdk)的轻量替代。 其目的在于减少依赖，解决版本冲突，在[zvt](https://github.com/zvtvz/zvt)中用于数据的本地化， ### 特性 * 原始封装，方法名和字段跟官方文档一致 * 自动化保留token，按需请求 * 只依赖requests和pandas(可用最新版) ### 安装 ``` pip install jqdatapy pip show jqdatapy ``` 更新到最新版本 ``` pip install --upgrade jqdatapy ``` ### 使用 #### 初始化环境，会自动本地化token ``` In [1]: from jqdatapy import * In [2]: init_env(username='聚宽注册手机',password='密码') ``` #### api使用 ``` In [5]: print(get_bars(code='000338.XSHE')) ...: print(get_all_securities()) ...: print(get_trade_days()) ...: print(get_trade_days()) ...: print(get_fundamentals(count=10)) ...: print(get_mtss()) ...: print(run_query(count=10, parse_dates=None)) date open close high low volume money paused high_limit low_limit avg pre_close 0 2020-09-14 14.24 14.35 14.43 14.22 24556166 3.514904e+08 0 15.59 12.75 14.31 14.17 1 2020-09-15 14.35 14.90 14.95 14.31 56693203 8.360576e+08 0 15.79 12.92 14.75 14.35 2 2020-09-16 14.83 15.02 15.34 14.75 49258551 7.402552e+08 0 16.39 13.41 15.03 14.90 3 2020-09-17 15.19 16.18 16.30 15.19 130136055 2.063710e+09 0 16.52 13.52 15.86 15.02 4 2020-09-18 16.35 16.59 16.65 16.23 112580041 1.854240e+09 0 17.80 14.56 16.47 16.18 5 2020-09-21 16.60 16.00 16.62 15.84 69804961 1.123414e+09 0 18.25 14.93 16.09 16.59 6 2020-09-22 15.85 15.62 16.04 15.54 50336697 7.942570e+08 0 17.60 14.40 15.78 16.00 7 2020-09-23 15.69 15.48 15.75 15.34 46083422 7.135471e+08 0 17.18 14.06 15.48 15.62 8 2020-09-24 15.34 15.08 15.37 15.04 37973611 5.750271e+08 0 17.03 13.93 15.14 15.48 9 2020-09-25 15.20 14.92 15.20 14.91 18540881 2.786308e+08 0 16.59 13.57 15.03 15.08 code display_name name start_date end_date type 0 000001.XSHE 平安银行 PAYX 1991-04-03 2200-01-01 stock 1 000002.XSHE 万科A WKA 1991-01-29 2200-01-01 stock 2 000004.XSHE 国农科技 GNKJ 1990-12-01 2200-01-01 stock 3 000005.XSHE 世纪星源 SJXY 1990-12-10 2200-01-01 stock 4 000006.XSHE 深振业A SZYA 1992-04-27 2200-01-01 stock ... ... ... ... ... ... ... 4126 688596.XSHG 正帆科技 ZFKJ 2020-08-20 2200-01-01 stock 4127 688598.XSHG 金博股份 JBGF 2020-05-18 2200-01-01 stock 4128 688599.XSHG 天合光能 THGN 2020-06-10 2200-01-01 stock 4129 688600.XSHG 皖仪科技 WYKJ 2020-07-03 2200-01-01 stock 4130 688981.XSHG 中芯国际 ZXGJ 2020-07-16 2200-01-01 stock [4131 rows x 6 columns] 0 0 2004-11-08 1 2004-11-09 2 2004-11-10 3 2004-11-11 4 2004-11-12 ... ... 3861 2020-09-21 3862 2020-09-22 3863 2020-09-23 3864 2020-09-24 3865 2020-09-25 [3866 rows x 1 columns] 0 0 2004-11-08 1 2004-11-09 2 2004-11-10 3 2004-11-11 4 2004-11-12 ... ... 3861 2020-09-21 3862 2020-09-22 3863 2020-09-23 3864 2020-09-24 3865 2020-09-25 [3866 rows x 1 columns] id code day pubDate statDate periodStart ... retained_profit foreign_currency_report_conv_diff equities_parent_company_owners minority_interests total_owner_equities total_sheet_owner_equities 0 28053040.0 000001.XSHE 2020-09-16 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 1 28053042.0 000001.XSHE 2020-09-17 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 2 28053044.0 000001.XSHE 2020-09-18 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 3 28053044.0 000001.XSHE 2020-09-19 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 4 28053044.0 000001.XSHE 2020-09-20 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 5 28053046.0 000001.XSHE 2020-09-21 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 6 28053048.0 000001.XSHE 2020-09-22 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 7 28053048.0 000001.XSHE 2020-09-23 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 8 28053048.0 000001.XSHE 2020-09-24 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 9 28053050.0 000001.XSHE 2020-09-25 2020-08-28 2020-06-30 2020-08-28 ... 1.219440e+11 NaN 3.513970e+11 NaN 3.513970e+11 4.178622e+12 [10 rows x 89 columns] date sec_code fin_value fin_buy_value fin_refund_value sec_value sec_sell_value sec_refund_value fin_sec_value 0 2010-03-31 000001.XSHE 4730 4730 0 2100 2100 0 53450 1 2010-04-01 000001.XSHE 4730 0 0 0 0 2100 4730 2 2010-04-02 000001.XSHE 4712 2347 2365 0 0 0 4712 3 2010-04-06 000001.XSHE 4712 0 0 0 0 0 4712 4 2010-04-07 000001.XSHE 4712 0 0 0 0 0 4712 ... ... ... ... ... ... ... ... ... ... 2548 2020-09-18 000001.XSHE 3919556191 238189827 270275976 67512142 120200 234200 5004476313 2549 2020-09-21 000001.XSHE 3849371241 108081360 178266310 66813349 429500 1128293 4909030957 2550 2020-09-22 000001.XSHE 3855420696 106478290 100428835 70238849 3559400 133900 4949039576 2551 2020-09-23 000001.XSHE 3744883578 71282484 181819602 71950394 1788079 76534 4869468236 2552 2020-09-24 000001.XSHE 3771133403 113139423 86889598 72439450 1561856 1072800 4866417887 [2553 rows x 9 columns] id exchange_code exchange_name date total_market_cap circulating_market_cap volume money deal_number pe_average turnover_ratio 0 1 322002 上海A股 2005-01-04 25228.240618 6941.067590 80648.3466 43.888276 42.2473 23.817 0.6368 1 2 322003 上海B股 2005-01-04 298.830614 298.830614 1019.3588 0.311245 0.4442 20.065 0.1018 2 3 322001 上海市场 2005-01-04 25527.071233 7239.898204 81667.7054 44.199521 42.6915 23.768 0.5976 3 4 322006 中小企业板 2005-01-04 409.450000 118.850000 800.0000 1.190000 1.4600 31.030 NaN 4 5 322004 深圳市场 2005-01-04 10859.540000 4279.140000 NaN 24.740000 NaN 24.220 0.5300 5 6 322002 上海A股 2005-01-05 25408.493484 7022.186703 85238.5339 48.680153 52.7249 23.978 0.6731 6 7 322003 上海B股 2005-01-05 306.795402 306.795402 1597.9846 0.500740 0.6206 20.629 0.1595 7 8 322001 上海市场 2005-01-05 25715.288885 7328.982104 86836.5185 49.180893 53.3455 23.934 0.6354 8 9 322006 中小企业板 2005-01-05 415.900000 120.760000 1000.0000 1.370000 1.6800 31.520 NaN 9 10 322004 深圳市场 2005-01-05 11021.380000 4347.240000 NaN 30.500000 NaN 24.570 0.6700 ``` ### 联系 微信 foolcage