This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage 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 lzh.feed import ReadMarketCSVFiles

ReadMarketCSVFiles(2)

return:

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

Release History

0.1.2

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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