tushare 1.4.24

A utility for crawling historical and Real-time Quotes data of China stocks

TuShare

===============



.. image:: https://api.travis-ci.org/waditu/tushare.png?branch=master

    :target: https://travis-ci.org/waditu/tushare



.. image:: https://badge.fury.io/py/tushare.png

    :target: http://badge.fury.io/py/tushare



* easy to use as most of the data returned are pandas DataFrame objects

* can be easily saved as csv, excel or json files

* can be inserted into MySQL or Mongodb



Target Users

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* financial market analyst of China

* learners of financial data analysis with pandas/NumPy

* people who are interested in China financial data



Installation

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    pip install tushare

    

Upgrade

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    pip install tushare --upgrade

    

Quick Start

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::



    import tushare as ts

    

    ts.get_hist_data('600848')

    

return::



                open    high   close     low     volume    p_change  ma5     

    date

    2012-01-11   6.880   7.380   7.060   6.880   14129.96     2.62   7.060

    2012-01-12   7.050   7.100   6.980   6.900    7895.19    -1.13   7.020

    2012-01-13   6.950   7.000   6.700   6.690    6611.87    -4.01   6.913

    2012-01-16   6.680   6.750   6.510   6.480    2941.63    -2.84   6.813

    2012-01-17   6.660   6.880   6.860   6.460    8642.57     5.38   6.822

    2012-01-18   7.000   7.300   6.890   6.880   13075.40     0.44   6.788

    2012-01-19   6.690   6.950   6.890   6.680    6117.32     0.00   6.770

    2012-01-20   6.870   7.080   7.010   6.870    6813.09     1.74   6.832

    

    

Log

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1.4.22

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- 新增 realtime_tick 腾讯源

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1.4.21

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- 修复 realtime_list ts_code 格式化

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1.4.20

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- 修复 realtime_list 数值对应问题 close->price   pre_close->close

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1.4.19

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- 修复 realtime_list 返回数据不全的问题

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1.4.17

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- 修复 920 开头更改是北交所

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1.4.14

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- 修复 realtime_list (爬虫版)

- 修复dc CLOSE和PRE_CLOSE收盘和昨收 字段命名问题

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1.4.6

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- 修复 realtime_quote 实时盘口TICK快照(爬虫版)

- 修复dc OPEN和LOW 值相反问题

1.4.0

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- 增加 银河证券实时行情数据入口

1.3.9

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- realtime_quote 实时盘口TICK快照(爬虫版)

- 修复dc 指数和股票数据抓取问题

- 将数字类型统一转换成 float类型

1.2.73

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- 支持华泰实时数据15SECOND