Metadata-Version: 2.1
Name: weibocrawl
Version: 0.0.2
Summary: download data of weibo retweet and comment
Home-page: http://iseuwei.org
Author: Iseuwei
Author-email: iseu1130@sina.cn
License: BSD
Keywords: BaiduNews
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: License :: OSI Approved :: BSD License
Requires-Dist: pandas (>=0.18.0)
Requires-Dist: requests (>=2.0.0)
Requires-Dist: lxml (>=3.8.0)
Requires-Dist: simplejson (>=3.16.0)
Requires-Dist: msgpack (>=0.5.6)
Requires-Dist: pyzmq (>=16.0.0)


WeiboCrawl
===============

* 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 weibocrawl

Upgrade
---------------

    pip install weibocrawl --upgrade

Quick Start
--------------

::

    wc=crawl.WeiboCrawl()
    wc.update_info()
    # 查询评论
    df=wc.search_comments('4554794956226910', pn=1)
    print(df)
    # 查询转发
    df=wc.search_retweets('4554976677862363', pn=2)
    print(df)
    # 导出
    wc.excel_save()
    # 查询历史微博
    df=wc.search_weibo('1742666164', pn=3)
    print(df)
    # 查询用户信息
    info=wc.get_user_info(r'1742666164')
    print(wc.df_info)

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 



