Skip to main content

This package implements normc(), normr() and normv() functions to easily normalize columns and rows of a matrix, and vectors respectively.

Project description

## 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 forces 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

### To update * pip install normalize_easy —-upgrade

### Version 0.0.3 * Cleaner code * pep8 compliant

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

normalize_easy-0.0.3.tar.gz (2.1 kB view hashes)

Uploaded source

Built Distributions

normalize_easy-0.0.3-py3.4.egg (4.0 kB view hashes)

Uploaded 3 4

normalize_easy-0.0.3-py2.py3-none-any.whl (3.9 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page