Name | tushare JSON |
Version |
1.2.89
JSON |
| download |
home_page | https://tushare.pro |
Summary | A utility for crawling historical and Real-time Quotes data of China stocks |
upload_time | 2022-12-07 01:38:44 |
maintainer | |
docs_url | https://pythonhosted.org/tushare/ |
author | Jimmy Liu |
requires_python | |
license | BSD |
keywords |
global
financial
data
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
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
Log
--------------
* 1.2.73 支持华泰实时数据15SECOND
Raw data
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