Colorstamps is a package containting 2d colormaps and helper functions to use the colormaps. Most included colormaps are based on the 'CAM02-LCD' colorspace as defined in the package colorspacious (https://pypi.org/project/colorspacious/)
pip install colorstamps
import matplotlib.pyplot as plt
import colorstamps
# img = (100,200,2) example data
img = colorstamps.helpers.get_random_data()
# map data to colormap
rgb, stamp = colorstamps.apply_stamp(img[:,:,0], img[:,:,1], 'peak',
vmin_0 = -1.2, vmax_0 = 1.2,
vmin_1 = -1, vmax_1 = 1,
)
fig, axes = plt.subplots(1,2,figsize=(10,3), dpi = 100)
axes[0].imshow(rgb)
# show colormap as overlay
overlaid_ax = stamp.overlay_ax(axes[0],
lower_left_corner = [0.7,0.85], width = 0.2)
overlaid_ax.set_ylabel(r'$\phi$')
overlaid_ax.set_xlabel(r'$\omega$')
# also show colormap as in separate ax to illustrate functionality
stamp.show_in_ax(axes[1])
axes[1].set_ylabel(r'$\phi$')
axes[1].set_xlabel(r'$\omega$')
The colormaps are encoded as numpy arrays of shape (l,l,3) with rgb color values in the range 0 to 1.
.. toctree:: :maxdepth: 1 :caption: Table of contents: stamps.rst helpers.rst lineplots.rst
:ref:`colorstamps.stamps <stamps>` contain functions that generate colormaps, and the :ref:`documentation <stamps>` also shows how they can be customized.
:ref:`colorstamps.helpers <helpers>` contain functions for applying the colormaps to a dataset, visualizing the colormap with the data in a matplotlib figure, and evaluating the colormap.
This is a quick reference of the default colormaps in :ref:`colorstamps.stamps <stamps>`
see :ref:`colorstamps.stamps <stamps>` for additional colormaps