Metadata-Version: 2.1
Name: pyzohar
Version: 0.1.7
Summary: a private package on data pre-processing.
Home-page: https://www.xzzsmeadow.com/
Author: zoharslong
Author-email: zoharslong@hotmail.com
License: MIT
Keywords: data pre-processing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: pandas (>=1.0.1)
Requires-Dist: pymongo (>=3.9.0)
Requires-Dist: pymysql (>=0.9.3)
Requires-Dist: fake-useragent (>=0.1.11)
Requires-Dist: requests (>=2.22.0)
Requires-Dist: openpyxl (>=3.0.3)
Requires-Dist: urllib3 (>=1.25.8)

# 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 
 - See [package Reference here](https://www.xzzsmeadow.com).  

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



