semvec/pypi-packages huggingface dataset:
tycselen 0.0.1
download data of tycselen
License: BSD
Keywords: TycSelen


QycSelen
===============

* 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 tycselen
    
Upgrade
---------------

    pip install tycselen --upgrade
    
Quick Start
--------------

::

    gn=crawl.BaiduNews()
    gn.update_info()
    print(gn.author_wx)
    df_search = gn.search_news('中国银行 电子银行',day=-3, pn=None)
    print(df_search)
    df_search.to_excel('./search.xlsx')
    df_detail = gn.news_detail(top=5)
    print(df_detail)
    df_detail.to_excel('./detail.xlsx')
    
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