8000 Update colormap user page by kthyng · Pull Request #5611 · matplotlib/matplotlib · GitHub
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Update colormap user page #5611

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Merged
merged 2 commits into from
Dec 3, 2015
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Update colormap user page #5611

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de5906f
removed Lfunction since it is outdated and also removed that part fro…
kthyng Dec 3, 2015
70b7154
Merge branch 'update-colormap-user-page' of github.com:kthyng/matplot…
kthyng Dec 3, 2015
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removed Lfunction since it is outdated and also removed that part fro… 
…m the docs. Changed grayscale plot to use colorspacious CAM02-UCS instead of CIELAB
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@kthyng
kthyng committed Dec 3, 2015
commit de5906ff842caafc13183d00ea8512acf7fcfe86
13 changes: 0 additions & 13 deletions doc/users/colormaps.rst
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Expand Up @@ -126,19 +126,6 @@ extension on this idea at [mycarta-jet]_.

.. plot:: users/plotting/colormaps/lightness.py


:math:`L^*` function
====================

There are multiple approaches to finding the best function for :math:`L^*`
across a colormap. Linear gi 8000 ves reasonable results (*e.g.*, [mycarta-banding]_,
[mycarta-lablinear]_). However, the Weber-Fechner law, and more generally and
recently, Stevens' Law, indicates that a logarithmic or geometric relationship
might be better (see effort on this front at [mycarta-cubelaw]_).

.. plot:: users/plotting/colormaps/Lfunction.py


Grayscale conversion
====================

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157 changes: 0 additions & 157 deletions doc/users/plotting/colormaps/Lfunction.py
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7 changes: 3 additions & 4 deletions doc/users/plotting/colormaps/grayscale.py
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Expand Up @@ -3,8 +3,6 @@
Uses lightness L* as a proxy for grayscale value.
'''

import colorconv as color

from colormaps import cmaps

#from skimage import color
Expand All @@ -14,6 +12,7 @@
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib as mpl
from colorspacious import cspace_converter

mpl.rcParams.update({'font.size': 14})

Expand All @@ -37,8 +36,8 @@ def plot_color_gradients(cmap_category, cmap_list):
# Get rgb values for colormap
rgb = cm.get_cmap(plt.get_cmap(name))(x)[np.newaxis,:,:3]

# Get colormap in CIE LAB. We want the L here.
lab = color.rgb2lab(rgb)
# Get colormap in CAM02-UCS colorspace. We want the lightness.
lab = cspace_converter("sRGB1", "CAM02-UCS")(rgb)
L = lab[0,:,0]
L = np.float32(np.vstack((L, L, L)))

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