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a private package on data pre-processing.

Project description

# Pyzohar

### Introduction
  • Pyzohar is a Python package for data manipulation.

### Main features
  • Basic data pre-processing between different types.

  • Pandas.DataFrame manipulating.

  • Data input and output between localDisc, mongodb, mysql, httpRequests, etc.

  • Fast modelling.

### Reference

### Examples Install `cmd > pip install pyzohar `

Import package `python from pyzohar import dfz lst_mpt = [{'A':1,'B':2},{'A':3,'B':4}] dfz_tst = dfz(dts=lst_mpt, lcn={'fld':'./doc_smp','fls':'txt_tst.xlsx'}) dfz_tst.lcl_xpt() # send lst_mpt into path './doc_smp/txt_tst.xlsx' ` > Use pyzohar.dfz to output data into hard disc.

### update 1.19
  • Alter add_clm_nrm, show std and avg

### update 1.18
  • Alter for dfz.mng_nfo(‘dcm’,prm=’<columnName>’,dct_qry={})

### update 1.17
  • Alter for fake_userAgent

### update 1.16
  • Alter lcl_mpt

### update 1.15
  • Update OpenpyxlWriter

### update 1.14
  • Support ‘xlsm’

### update 1.13
  • Alter api_prx for auto userAgent changing

  • Alter io export to excel method

### update 1.12
  • Alter spider

### update 1.10
  • Add new slot for generating pptx

### update 1.08
  • Fixed bugs about misusing on pandas.Series.to_dict

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