https://github.com/astrofrog/colormapize

Generate colormaps from images!
https://github.com/astrofrog/colormapize

Last synced: 6 months ago
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Generate colormaps from images!

• Host: GitHub
• URL: https://github.com/astrofrog/colormapize
• Owner: astrofrog
• License: bsd-2-clause
• Created: 2019-08-30T10:01:48.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-08-30T13:54:34.000Z (almost 7 years ago)
• Last Synced: 2026-01-06T05:04:28.303Z (6 months ago)
• Language: Python
• Size: 7.81 KB
• Stars: 11
• Watchers: 1
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

          
About colormapize

=================

.. image:: https://img.shields.io/badge/Made%20at-%23AstroHackWeek-8063d5.svg?style=flat

About

-----

This is a small package to easily generate colormaps from images which was

built as a fun hack and should *not* be used to generate colormaps for

serious visualization work since there is no guarantee that the colormaps

made will be e.g. perceptually uniform.

Installing

----------

To install::

    pip install colormapize

Using

-----

To use, run::

    colormapize your_image.jpg colormap_name

where ``colormap_name`` is what you want to call your colormap, for example::

    colormapize your_image.jpg kittens

This should open a Matplotlib window. Click once to define the start of a path

and click again to define the end of the path. You can then use the + and - keys

to add more samples along the path. If you are not happy with the path, just

click twice again to define a new path. Once you are happy with it, press

'enter' or 'c' and you will see a preview of the colormap on the right of the

image, and the colormap will also be saved to e.g.``cmap_kittens.py``. You can

continue to redefine the path until you are happy with it, and the file will be

overwritten every time you press 'enter' or 'c'. Close the window once you are

done.

To use, make sure the colormap file (e.g. ``cmap_kittens.py``) is in the same

directory as the directory where you want to make plots, and you can then use it

as follows in other scripts::

    import colormap_kittens

    ...

    plt.imshow(mydata, cmap='kittens')