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Add new category for perceptually uniform colormaps
Refactor to reduce duplication
1 parent db403c3 commit e3bdf44

4 files changed

Lines changed: 43 additions & 68 deletions

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‎doc/users/plotting/colormaps/colormaps.py‎

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# Have colormaps separated into categories:
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# http://matplotlib.org/examples/color/colormaps_reference.html
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cmaps = [('Perceptually Uniform Sequential',
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['viridis', 'inferno', 'plasma', 'magma']),
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('Sequential', ['Blues', 'BuGn', 'BuPu',
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'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
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'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
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'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
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('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool',
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'copper', 'gist_heat', 'gray', 'hot',
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'pink', 'spring', 'summer', 'winter']),
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('Diverging', ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
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'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
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'seismic']),
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('Qualitative', ['Accent', 'Dark2', 'Paired', 'Pastel1',
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'Pastel2', 'Set1', 'Set2', 'Set3']),
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('Miscellaneous', ['gist_earth', 'terrain', 'ocean', 'gist_stern',
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'brg', 'CMRmap', 'cubehelix',
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'gnuplot', 'gnuplot2', 'gist_ncar',
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'nipy_spectral', 'jet', 'rainbow',
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'gist_rainbow', 'hsv', 'flag', 'prism'])]

‎doc/users/plotting/colormaps/grayscale.py‎

Lines changed: 5 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -4,9 +4,12 @@
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'''
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import colorconv as color
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from colormaps import cmaps
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#from skimage import color
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# we are using a local copy of colorconv from scikit-image to reduce dependencies.
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# You should probably use the one from scikit-image in most cases.
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# we are using a local copy of colorconv from scikit-image to reduce dependencies.
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# You should probably use the one from scikit-image in most cases.
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib import cm
@@ -24,27 +27,6 @@
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mpl.rcParams['mathtext.sf'] = 'sans'
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mpl.rcParams['mathtext.fallback_to_cm'] = 'True'
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# Have colormaps separated into categories:
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# http://matplotlib.org/examples/color/colormaps_reference.html
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cmaps = [('Sequential', ['Blues', 'BuGn', 'BuPu',
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'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
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'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
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'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
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('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
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'gist_heat', 'gray', 'hot', 'inferno', 'magma',
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'pink', 'plasma', 'spring', 'summer', 'viridis',
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'winter']),
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('Diverging', ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
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'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
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'seismic']),
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('Qualitative', ['Accent', 'Dark2', 'Paired', 'Pastel1',
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'Pastel2', 'Set1', 'Set2', 'Set3']),
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('Miscellaneous', ['gist_earth', 'terrain', 'ocean', 'gist_stern',
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'brg', 'CMRmap', 'cubehelix',
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'gnuplot', 'gnuplot2', 'gist_ncar',
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'nipy_spectral', 'jet', 'rainbow',
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'gist_rainbow', 'hsv', 'flag', 'prism'])]
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# indices to step through colormap
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x = np.linspace(0.0, 1.0, 100)

‎doc/users/plotting/colormaps/lightness.py‎

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Original file line numberDiff line numberDiff line change
@@ -1,14 +1,15 @@
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'''
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For each colormap, plot the lightness parameter L* from CIELAB colorspace
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along the y axis vs index through the colormap. Colormaps are examined in
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For each colormap, plot the lightness parameter L* from CIELAB colorspace
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along the y axis vs index through the colormap. Colormaps are examined in
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categories as in the original matplotlib gallery of colormaps.
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'''
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import colorconv as color
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from colormaps import cmaps
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#from skimage import color
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# we are using a local copy of colorconv from scikit-image to
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# reduce dependencies.
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# You should probably use the one from scikit-image in most cases.
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# You should probably use the one from scikit-image in most cases.
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib import cm
@@ -26,28 +27,6 @@
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mpl.rcParams['mathtext.sf'] = 'sans'
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mpl.rcParams['mathtext.fallback_to_cm'] = 'True'
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# Have colormaps separated into categories:
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# http://matplotlib.org/examples/color/colormaps_reference.html
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cmaps = [('Sequential', ['Blues', 'BuGn', 'BuPu',
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'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
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'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
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'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
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('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
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'gist_heat', 'gray', 'hot', 'inferno', 'magma',
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'pink', 'plasma', 'spring', 'summer', 'viridis',
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'winter']),
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('Diverging', ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
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'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
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'seismic']),
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('Qualitative', ['Accent', 'Dark2', 'Paired', 'Pastel1',
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'Pastel2', 'Set1', 'Set2', 'Set3']),
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('Miscellaneous', ['gist_earth', 'terrain', 'ocean', 'gist_stern',
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'brg', 'CMRmap', 'cubehelix',
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'gnuplot', 'gnuplot2', 'gist_ncar',
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'nipy_spectral', 'jet', 'rainbow',
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'gist_rainbow', 'hsv', 'flag', 'prism'])]
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# indices to step through colormap
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x = np.linspace(0.0, 1.0, 100)
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@@ -84,7 +63,17 @@
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# Do separately for each category so each plot can be pretty
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# to make scatter markers change color along plot:
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# http://stackoverflow.com/questions/8202605/matplotlib-scatterplot-colour-as-a-function-of-a-third-variable
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if cmap_category=='Sequential':
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if cmap_category=='Perceptually Uniform Sequential':
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dc = 1.15 # spacing between colormaps
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ax.scatter(x+j*dc, lab[0,::-1,0], c=x, cmap=cmap,
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s=300, linewidths=0.)
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if i==2:
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ax.axis([-0.1,4.1,0,100])
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else:
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ax.axis([-0.1,4.7,0,100])
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locs.append(x[-1]+j*dc) # store locations for colormap labels
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elif cmap_category=='Sequential':
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dc = 0.6 # spacing between colormaps
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ax.scatter(x+j*dc, lab[0,::-1,0], c=x, cmap=cmap + '_r',
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s=300, linewidths=0.)

‎examples/color/colormaps_reference.py‎

Lines changed: 1 addition & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -35,25 +35,7 @@
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import numpy as np
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import matplotlib.pyplot as plt
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cmaps = [('Sequential', ['Blues', 'BuGn', 'BuPu',
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'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
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'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
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'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
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('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
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'gist_heat', 'gray', 'hot', 'inferno', 'magma',
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'pink', 'plasma', 'spring', 'summer', 'viridis',
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'winter']),
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('Diverging', ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
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'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
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'seismic']),
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('Qualitative', ['Accent', 'Dark2', 'Paired', 'Pastel1',
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'Pastel2', 'Set1', 'Set2', 'Set3']),
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('Miscellaneous', ['gist_earth', 'terrain', 'ocean', 'gist_stern',
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'brg', 'CMRmap', 'cubehelix',
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'gnuplot', 'gnuplot2', 'gist_ncar',
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'nipy_spectral', 'jet', 'rainbow',
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'gist_rainbow', 'hsv', 'flag', 'prism'])]
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from colormaps import cmaps
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nrows = max(len(cmap_list) for cmap_category, cmap_list in cmaps)

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