finance-datareader-py
Project description
=======================
.. image:: https://api.travis-ci.org/GuQiangJS/finance-datareader-py.svg?branch=master
:target: https://travis-ci.org/GuQiangJS/finance-datareader-py
.. image:: https://coveralls.io/repos/github/GuQiangJS/finance-datareader-py/badge.svg?branch=master
:target: https://coveralls.io/github/GuQiangJS/finance-datareader-py?branch=master
Python 金融数据读取器
基于 ``pandas-datareader`` 开发,用来读取 上证、深证(股票列表、每日成交汇总)
依赖
~~~~
使用 finance-datareader-py 依赖于以下包:
* xlrd
* pandas-datareader
* numpy
* beautifulsoup4
编译帮助文档时使用:
* sphinx
* sphinxcontrib-napoleon
快速安装
~~~~~~~~~
.. code-block:: shell
$ pip install git+https://github.com/GuQiangJS/finance-datareader-py.git
文档
~~~~~
`开发文档 <https://guqiangjs.github.io/finance-datareader-py/devel/>`__
会在每次提交变更后自动生成。
使用示例
~~~~~~~~~
.. code-block:: python
In[2]: from finance_datareader_py.netease.daily import NetEaseDailyReader
In[3]: df = NetEaseDailyReader(symbols='000002').read()
In[4]: df.tail()
.. code-block::
Out[5]:
Close High Low Open Change Quote Rate Volume Turnover
2018-07-04 23.00 23.75 23.00 23.46 -0.42 -1.7933 0.2570 249881.0 58247.0
2018-07-05 23.05 23.41 22.85 23.02 0.05 0.2174 0.2749 267279.0 61939.0
2018-07-06 23.21 23.60 22.65 23.34 0.16 0.6941 0.3568 346930.0 80511.0
2018-07-09 24.01 24.05 23.37 23.37 0.8 3.4468 0.4161 404627.0 96480.0
2018-07-10 24.15 24.49 23.77 24.20 0.14 0.5831 0.4003 389259.0 93653.0
Home-page: https://github.com/GuQiangJS/finance-datareader-py.git
Author: GuQiangJS
Author-email: guqiangjs@gmail.com
License: Apache License 2.0
Description: finance-datareader-py
=======================
.. image:: https://api.travis-ci.org/GuQiangJS/finance-datareader-py.svg?branch=master
:target: https://travis-ci.org/GuQiangJS/finance-datareader-py
.. image:: https://coveralls.io/repos/github/GuQiangJS/finance-datareader-py/badge.svg?branch=master
:target: https://coveralls.io/github/GuQiangJS/finance-datareader-py?branch=master
Python 金融数据读取器
基于 ``pandas-datareader`` 开发,用来读取 上证、深证(股票列表、每日成交汇总)
依赖
~~~~
使用 finance-datareader-py 依赖于以下包:
* xlrd
* pandas-datareader
* numpy
* beautifulsoup4
编译帮助文档时使用:
* sphinx
* sphinxcontrib-napoleon
快速安装
~~~~~~~~~
.. code-block:: shell
$ pip install git+https://github.com/GuQiangJS/finance-datareader-py.git
文档
~~~~~
`开发文档 <https://guqiangjs.github.io/finance-datareader-py/devel/>`__
会在每次提交变更后自动生成。
使用示例
~~~~~~~~~
.. code-block:: python
In[2]: from finance_datareader_py.netease.daily import NetEaseDailyReader
In[3]: df = NetEaseDailyReader(symbols='000002').read()
In[4]: df.tail()
.. code-block::
Out[5]:
Close High Low Open Change Quote Rate Volume Turnover
2018-07-04 23.00 23.75 23.00 23.46 -0.42 -1.7933 0.2570 249881.0 58247.0
2018-07-05 23.05 23.41 22.85 23.02 0.05 0.2174 0.2749 267279.0 61939.0
2018-07-06 23.21 23.60 22.65 23.34 0.16 0.6941 0.3568 346930.0 80511.0
2018-07-09 24.01 24.05 23.37 23.37 0.8 3.4468 0.4161 404627.0 96480.0
2018-07-10 24.15 24.49 23.77 24.20 0.14 0.5831 0.4003 389259.0 93653.0
Keywords: data
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
.. image:: https://api.travis-ci.org/GuQiangJS/finance-datareader-py.svg?branch=master
:target: https://travis-ci.org/GuQiangJS/finance-datareader-py
.. image:: https://coveralls.io/repos/github/GuQiangJS/finance-datareader-py/badge.svg?branch=master
:target: https://coveralls.io/github/GuQiangJS/finance-datareader-py?branch=master
Python 金融数据读取器
基于 ``pandas-datareader`` 开发,用来读取 上证、深证(股票列表、每日成交汇总)
依赖
~~~~
使用 finance-datareader-py 依赖于以下包:
* xlrd
* pandas-datareader
* numpy
* beautifulsoup4
编译帮助文档时使用:
* sphinx
* sphinxcontrib-napoleon
快速安装
~~~~~~~~~
.. code-block:: shell
$ pip install git+https://github.com/GuQiangJS/finance-datareader-py.git
文档
~~~~~
`开发文档 <https://guqiangjs.github.io/finance-datareader-py/devel/>`__
会在每次提交变更后自动生成。
使用示例
~~~~~~~~~
.. code-block:: python
In[2]: from finance_datareader_py.netease.daily import NetEaseDailyReader
In[3]: df = NetEaseDailyReader(symbols='000002').read()
In[4]: df.tail()
.. code-block::
Out[5]:
Close High Low Open Change Quote Rate Volume Turnover
2018-07-04 23.00 23.75 23.00 23.46 -0.42 -1.7933 0.2570 249881.0 58247.0
2018-07-05 23.05 23.41 22.85 23.02 0.05 0.2174 0.2749 267279.0 61939.0
2018-07-06 23.21 23.60 22.65 23.34 0.16 0.6941 0.3568 346930.0 80511.0
2018-07-09 24.01 24.05 23.37 23.37 0.8 3.4468 0.4161 404627.0 96480.0
2018-07-10 24.15 24.49 23.77 24.20 0.14 0.5831 0.4003 389259.0 93653.0
Home-page: https://github.com/GuQiangJS/finance-datareader-py.git
Author: GuQiangJS
Author-email: guqiangjs@gmail.com
License: Apache License 2.0
Description: finance-datareader-py
=======================
.. image:: https://api.travis-ci.org/GuQiangJS/finance-datareader-py.svg?branch=master
:target: https://travis-ci.org/GuQiangJS/finance-datareader-py
.. image:: https://coveralls.io/repos/github/GuQiangJS/finance-datareader-py/badge.svg?branch=master
:target: https://coveralls.io/github/GuQiangJS/finance-datareader-py?branch=master
Python 金融数据读取器
基于 ``pandas-datareader`` 开发,用来读取 上证、深证(股票列表、每日成交汇总)
依赖
~~~~
使用 finance-datareader-py 依赖于以下包:
* xlrd
* pandas-datareader
* numpy
* beautifulsoup4
编译帮助文档时使用:
* sphinx
* sphinxcontrib-napoleon
快速安装
~~~~~~~~~
.. code-block:: shell
$ pip install git+https://github.com/GuQiangJS/finance-datareader-py.git
文档
~~~~~
`开发文档 <https://guqiangjs.github.io/finance-datareader-py/devel/>`__
会在每次提交变更后自动生成。
使用示例
~~~~~~~~~
.. code-block:: python
In[2]: from finance_datareader_py.netease.daily import NetEaseDailyReader
In[3]: df = NetEaseDailyReader(symbols='000002').read()
In[4]: df.tail()
.. code-block::
Out[5]:
Close High Low Open Change Quote Rate Volume Turnover
2018-07-04 23.00 23.75 23.00 23.46 -0.42 -1.7933 0.2570 249881.0 58247.0
2018-07-05 23.05 23.41 22.85 23.02 0.05 0.2174 0.2749 267279.0 61939.0
2018-07-06 23.21 23.60 22.65 23.34 0.16 0.6941 0.3568 346930.0 80511.0
2018-07-09 24.01 24.05 23.37 23.37 0.8 3.4468 0.4161 404627.0 96480.0
2018-07-10 24.15 24.49 23.77 24.20 0.14 0.5831 0.4003 389259.0 93653.0
Keywords: data
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
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