Metadata-Version: 2.0
Name: normalize-easy
Version: 0.0.2
Summary: This package implements normc() and normr() functions to     easily normalize columns and rows respectively.
Home-page: https://github.com/srambhatla/normalize_easy
Author: Sirisha Rambhatla
Author-email: rambh002@umn.edu
License: BSD
Keywords: normr normc normalize rows columns math matrix linear algebra     MATLAB
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: BSD License
Requires-Dist: sklearn
Requires-Dist: numpy

## normalize_easy Package

This package implements `normc()`, `normr()`, `normv()` functions to easily normalize columns, rows of 2-D arrays and vectors respectively. 
This package uses `sklearn.preprocessing.normalize` and forced the input array to have dtype as float. The input array has to be 2-D for `normc()` and `normr()`. 


* `normc()` -> normalizes columns of a 2-D array
* `normr()` -> normalizes rows of a 2-D array
* `normv()` -> normalizes the 1-D array


### To install
* `pip install normalize_easy`, or
* Download the repo and run `python setup.py install`






