Skip to main content

Color math and conversion library.

Project description

https://travis-ci.org/gtaylor/python-colormath.png?branch=master https://pypip.in/d/colormath/badge.png

This module implements a large number of different color operations such as color space conversions, Delta E, and density to spectral.

Requirements

  • numpy

  • NetworkX

  • Python 2.7 or Python 3.3+

Installation

The easiest way to install colormath is via pip/easy_install:

pip install colormath

Documentation

For documentation, see the project webpage at:

http://python-colormath.readthedocs.org/

There are also a lot of useful examples under the examples directory within this directory.

Support

Head over to https://github.com/gtaylor/python-colormath and submit an issue if you have any problems or questions.

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

colormath-2.1.1.tar.gz (39.0 kB view details)

Uploaded Source

File details

Details for the file colormath-2.1.1.tar.gz.

File metadata

  • Download URL: colormath-2.1.1.tar.gz
  • Upload date:
  • Size: 39.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for colormath-2.1.1.tar.gz
Algorithm Hash digest
SHA256 003a2b2d9c1f43aa7d90addf1863fb2d822463c839b1166ae3092950792f9707
MD5 10a0fb17e3c24363d0e1a3f2dccaa33b
BLAKE2b-256 f5f01358c821de66e5f3fc107b8a1afbea100a3bbaa0f7024f990b5d1911a055

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page