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Merged
merged 5 commits into from
May 3, 2014
Merged

Add a colorblind friendly heatmap. #2871

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0a1b153
Add a colorblind friendly heatmap.
chebee7i Mar 5, 2014
ab31305
Update 'wistia' colormap.
chebee7i Apr 29, 2014
d18f07d
Comments. Add entry to CHANGELOG and whats_new.rst.
chebee7i May 2, 2014
5cae0f9
Removing unnecessary import in _cm.py
chebee7i May 2, 2014
28ef5f5
Minor cosmetics (tabs, alignment) to CHANGELOG.
chebee7i May 2, 2014
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24 changes: 13 additions & 11 deletions CHANGELOG
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Original file line number Diff line number Diff line change
@@ -1,26 +1,24 @@
2014-05-02 Added colorblind-friendly colormap, named 'Wistia'.

2014-04-27 Improved input clean up in Axes.{h|v}lines
Coerce input into a 1D ndarrays (after dealing with units).
Coerce input into a 1D ndarrays (after dealing with units).

2014-04-22 Added an example showing the difference between
interpolation = 'none' and interpolation = 'nearest' in
`imshow()` when saving vector graphics files.
interpolation = 'none' and interpolation = 'nearest' in
`imshow()` when saving vector graphics files.

2014-04-10 Fixed the triangular marker rendering error. The "Up" triangle was
rendered instead of "Right" triangle and vice-versa.

2014-04-08 Fixed a bug in parasite_axes.py by making a list out
of a generator at line 263.

2014-02-25 In backend_qt4agg changed from using update -> repaint under
windows. See comment in source near `self._priv_update` for
longer explaination.

2014-03-27 Added tests for pie ccw parameter. Removed pdf and svg images
from tests for pie linewidth parameter.

2014-03-24 Added bool kwarg (manage_xticks) to boxplot to enable/disable
the managemnet of the xlimits and ticks when making a boxplot.
Default in True which maintains current behavior by default.
the managemnet of the xlimits and ticks when making a boxplot.
Default in True which maintains current behavior by default.

2014-03-22 Added the keyword arguments wedgeprops and textprops to pie.
Users can control the wedge and text properties of the pie
Expand All @@ -32,9 +30,13 @@

2014-03-13 Add parameter 'clockwise' to function pie, True by default.

2014-27-02 Implemented separate horizontal/vertical axes padding to the
2014-02-27 Implemented separate horizontal/vertical axes padding to the
ImageGrid in the AxesGrid toolkit

2014-02-25 In backend_qt4agg changed from using update -> repaint under
windows. See comment in source near `self._priv_update` for
longer explaination.

2014-01-02 `triplot` now returns the artist it adds and support of line and
marker kwargs has been improved. GBY

Expand All @@ -53,7 +55,7 @@
matplotlib.delaunay module. - IMT

2013-11-05 Add power-law normalization method. This is useful for,
e.g., showing small populations in a "hist2d" histogram.
e.g., showing small populations in a "hist2d" histogram.

2013-10-27 Added get_rlabel_position and set_rlabel_position methods to
PolarAxes to control angular position of radial tick labels.
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11 changes: 11 additions & 0 deletions doc/users/whats_new.rst
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Expand Up @@ -23,6 +23,17 @@ revision, see the :ref:`github-stats`.
new in matplotlib-1.4
=====================


New colormap
------------
In heatmaps, a green-to-red spectrum is often used to indicate intensity of
activity, but this can be problematic for the red/green colorblind. A new,
colorblind-friendly colormap is now available at :class:`matplotlib.cm.Wistia`.
This colormap maintains the red/green symbolism while achieving deuteranopic
legibility through brightness variations. See
`here <https://github.com/wistia/heatmap-palette>`
for more information.

Documentation changes
---------------------

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32 changes: 32 additions & 0 deletions lib/matplotlib/_cm.py
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Expand Up @@ -7,6 +7,7 @@

from __future__ import (absolute_import, division, print_function,
unicode_literals)

import numpy as np

_binary_data = {
Expand Down Expand Up @@ -1888,6 +1889,36 @@ def gfunc32(x):
(0.875, 0.50, 0.50),
(1.000, 1.00, 1.00))}


# An MIT licensed, colorblind-friendly heatmap from Wistia:
# https://github.com/wistia/heatmap-palette
# http://wistia.com/blog/heatmaps-for-colorblindness
#
# >>> import matplotlib.colors as c
# >>> colors = ["#e4ff7a", "#ffe81a", "#ffbd00", "#ffa000", "#fc7f00"]
# >>> cm = c.LinearSegmentedColormap.from_list('wistia', colors)
# >>> _wistia_data = cm._segmentdata
# >>> del _wistia_data['alpha']
#
_wistia_data = {
'red': [(0.0, 0.8941176470588236, 0.8941176470588236),
(0.25, 1.0, 1.0),
(0.5, 1.0, 1.0),
(0.75, 1.0, 1.0),
(1.0, 0.9882352941176471, 0.9882352941176471)],
'green': [(0.0, 1.0, 1.0),
(0.25, 0.9098039215686274, 0.9098039215686274),
(0.5, 0.7411764705882353, 0.7411764705882353),
(0.75, 0.6274509803921569, 0.6274509803921569),
(1.0, 0.4980392156862745, 0.4980392156862745)],
'blue': [(0.0, 0.47843137254901963, 0.47843137254901963),
(0.25, 0.10196078431372549, 0.10196078431372549),
(0.5, 0.0, 0.0),
(0.75, 0.0, 0.0),
(1.0, 0.0, 0.0)],
}


datad = {
'afmhot': _afmhot_data,
'autumn': _autumn_data,
Expand Down Expand Up @@ -1963,3 +1994,4 @@ def gfunc32(x):
datad['gist_stern'] = _gist_stern_data
datad['gist_yarg'] = _gist_yarg_data
datad['coolwarm'] = _coolwarm_data
datad['Wistia'] = _wistia_data