>>> """
==================
Colormap reference
==================

Reference for colormaps included with Matplotlib.

A reversed version of each of these colormaps is available by appending
``_r`` to the name, e.g., ``viridis_r``.

See :doc:`/tutorials/colors/colormaps` for an in-depth discussion about
colormaps, including colorblind-friendliness.
"""
... 
... import numpy as np
... import matplotlib.pyplot as plt
... 
... 
... cmaps = [('Perceptually Uniform Sequential', [
...             'viridis', 'plasma', 'inferno', 'magma', 'cividis']),
...          ('Sequential', [
...             'Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds',
...             'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu',
...             'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn']),
...          ('Sequential (2)', [
...             'binary', 'gist_yarg', 'gist_gray', 'gray', 'bone', 'pink',
...             'spring', 'summer', 'autumn', 'winter', 'cool', 'Wistia',
...             'hot', 'afmhot', 'gist_heat', 'copper']),
...          ('Diverging', [
...             'PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu',
...             'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic']),
...          ('Cyclic', ['twilight', 'twilight_shifted', 'hsv']),
...          ('Qualitative', [
...             'Pastel1', 'Pastel2', 'Paired', 'Accent',
...             'Dark2', 'Set1', 'Set2', 'Set3',
...             'tab10', 'tab20', 'tab20b', 'tab20c']),
...          ('Miscellaneous', [
...             'flag', 'prism', 'ocean', 'gist_earth', 'terrain', 'gist_stern',
...             'gnuplot', 'gnuplot2', 'CMRmap', 'cubehelix', 'brg',
...             'gist_rainbow', 'rainbow', 'jet', 'turbo', 'nipy_spectral',
...             'gist_ncar'])]
... 
... 
... gradient = np.linspace(0, 1, 256)
... gradient = np.vstack((gradient, gradient))
... 
... 
... def plot_color_gradients(cmap_category, cmap_list):
...     # Create figure and adjust figure height to number of colormaps
...     nrows = len(cmap_list)
...     figh = 0.35 + 0.15 + (nrows + (nrows-1)*0.1)*0.22
...     fig, axs = plt.subplots(nrows=nrows, figsize=(6.4, figh))
...     fig.subplots_adjust(top=1-.35/figh, bottom=.15/figh, left=0.2, right=0.99)
... 
...     axs[0].set_title(cmap_category + ' colormaps', fontsize=14)
... 
...     for ax, cmap_name in zip(axs, cmap_list):
...         ax.imshow(gradient, aspect='auto', cmap=cmap_name)
...         ax.text(-.01, .5, cmap_name, va='center', ha='right', fontsize=10,
...                 transform=ax.transAxes)
... 
...     # Turn off *all* ticks & spines, not just the ones with colormaps.
...     for ax in axs:
...         ax.set_axis_off()
... 
... 
... for cmap_category, cmap_list in cmaps:
...     plot_color_gradients(cmap_category, cmap_list)
... 
... plt.show()
... 
... #############################################################################
... #
... # .. admonition:: References
... #
... #    The use of the following functions, methods, classes and modules is shown
... #    in this example:
... #
... #    - `matplotlib.colors`
... #    - `matplotlib.axes.Axes.imshow`
... #    - `matplotlib.figure.Figure.text`
... #    - `matplotlib.axes.Axes.set_axis_off`
...