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

• financial market analyst of China
• learners of financial data analysis with pandas/NumPy
• people who are interested in China financial data

Installation

pip install tushare

Upgrade

pip install tushare --upgrade

Quick Start

::

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