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UNKNOWN

Project Description
  • 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 lzhtools.feed import ReadMarketCSVFiles

ReadMarketCSVFiles(2)

return:

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

Release History

This version
History Node

0.1.0

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
lzhtools-0.1.0.zip (12.9 kB) Copy SHA256 Checksum SHA256 Source Dec 19, 2015

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