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akshare's Introduction

PyPI - Python Version PyPI Downloads Documentation Status Code style: black Data: akshare Build Status MIT Licence

Overview

Currently AkShare only support Python version >= 3.6

AkShare is an, written with Python-3.7.5, aims to make fetch financial data as convenient as possible.

Write less, get more!

Features

  • Easy: Just one line to fetch the data
  • Fast: Just copy and paste
  • Extensible: Easy to customize your own code
  • Powerful: Python support

Installation

# For Linux & Mac
pip install akshare --upgrade
# For Windows
pip install akshare --upgrade

Tutorials

  1. Overview
  2. Installation
  3. Tutorial
  4. Data Dict
  5. Subjects

TODO

  • Uniform interface
  • Support more data

Contribution

AkShare is still under developing, feel free to open issues and pull requests:

  • Report or fix bugs
  • Require or publish interface
  • Write or fix documentation
  • Add test cases

Notice: We use Black to format the code

Acknowledgement

特别感谢FuShare项目提供借鉴学习的机会;

特别感谢TuShare项目提供借鉴学习的机会;

感谢生意社网站提供的相关数据;

感谢奇货可查网站提供的相关数据;

感谢智道智科网站提供的相关数据;

感谢**银行间市场交易商协会网站提供的相关数据;

感谢99期货网站提供的相关数据;

感谢英为财情网站提供的相关数据;

感谢**外汇交易中心暨全国银行间同业拆借中心网站提供的相关数据;

感谢金十数据网站提供的相关数据;

感谢交易法门网站提供的相关数据;

感谢和讯财经网站提供的相关数据;

感谢新浪财经网站提供的相关数据;

感谢Oxford-Man Institute网站提供的相关数据;

感谢DACHENG-XIU网站提供的相关数据;

感谢上海证券交易所网站提供的相关数据;

感谢深证证券交易所网站提供的相关数据;

感谢**金融期货交易所网站提供的相关数据;

感谢上海期货交易所网站提供的相关数据;

感谢大连商品交易所网站提供的相关数据;

感谢郑州商品交易所网站提供的相关数据;

感谢上海国际能源交易中心网站提供的相关数据;

感谢timeanddate网站提供的相关数据;

感谢河北省空气质量预报信息发布系统网站提供的相关数据;

感谢南华期货网站提供的相关数据;

感谢Economic Policy Uncertainty网站提供的相关数据;

感谢微博指数提供的相关数据;

感谢百度指数提供的相关数据;

感谢谷歌指数提供的相关数据;

感谢申万指数提供的相关数据;

感谢真气网提供的相关数据;

感谢财富网站提供的相关数据;

感谢**证券投资基金业协会提供的相关数据;

感谢猫眼电影网站提供的相关数据;

感谢Expatistan网站提供的相关数据;

感谢北京市碳排放权电子交易平台提供的相关数据;

感谢国家金融与发展实验室网站提供的相关数据;

感谢IT桔子提供的相关数据;

感谢东方财富网站提供的相关数据;

感谢义乌小商品指数网站提供的相关数据;

感谢**国家发展和改革委员会网站提供的相关数据;

感谢163网站提供的相关数据;

感谢丁香园网站提供的相关数据;

感谢百度新型肺炎网站提供的相关数据;

感谢百度迁徙网站提供的相关数据;

感谢新型肺炎-相同行程查询工具网站提供的相关数据;

感谢新型肺炎-小区查询网站提供的相关数据;

感谢商业特许经营信息管理网站提供的特许经营数据;

感谢慈善**网站提供的相关数据;

感谢微信公众号: Python大咖谈提供的 Pandas 专题教程;

感谢微信公众号: Python大咖谈提供的 Anaconda 专题教程.

Communication

您可以关注 数据科学实战 微信公众号来获取最新的 AkShare 更新信息:

同时也欢迎您加入 QQ 群交流相关问题: 326900231

您可以扫码或者点击群二维码申请加入, 点击跳转加入:

AkShare官方

Statement

  1. AkShare 提供的数据仅供参考, 不构成任何投资建议;
  2. 任何基于 AkShare 进行研究的投资者请注意数据风险;
  3. AkShare 坚持提供开源金融数据;
  4. AkShare 基于某些不可控因素, 可能会移除部分数据接口;
  5. AkShare 的使用请遵循相关开源协议.

Show your style

Use the badge in your project's README.md:

[![Data: akshare](https://img.shields.io/badge/data-akshare-000345.svg)](https://github.com/jindaxiang/akshare)

Using the badge in README.rst:

.. image:: https://img.shields.io/badge/data-akshare-000150.svg
    :target: https://github.com/jindaxiang/akshare

Looks like this:

Data: akshare

Citation

Please use this bibtex if you want to cite this repository in your publications:

@misc{akshare,
    author = {Albert King},
    title = {AkShare},
    year = {2019},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/jindaxiang/akshare}},
}

akshare's People

Contributors

albertandking avatar

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