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  • can be easily to convert most of the date time to a standard format or string format

  • can be easily read a large number of CSV files to a dicttype

  • 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 MSSQL or MySQL or Mongodb

Installation

pip install lzh

Upgrade

pip install lzh –upgrade

Quick Start

from lzh.feed import ReadMarketCSVFiles

ReadMarketCSVFiles(2)

return:

ReadMarketCSVFiles.Market
{'XX1':data(pandas.DataFrame),
'XX2':data(pandas.DataFrame),
... ...
'XXn':data(pandas.DataFrame)
}

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