8000 Backport PR #27678 on branch v3.8.2-doc (DOC: selecting individual colors from a colormap) by meeseeksmachine · Pull Request #27679 · matplotlib/matplotlib · GitHub
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Backport PR #27678 on branch v3.8.2-doc (DOC: selecting individual colors from a colormap) #27679

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Merged
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Jan 21, 2024
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Backport PR #27678 on branch v3.8.2-doc (DOC: selecting individual colors from a colormap) #27679

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1 change: 1 addition & 0 deletions .flake8
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Expand Up @@ -73,6 +73,7 @@ per-file-ignores =
galleries/users_explain/text/text_props.py: E501

galleries/examples/animation/frame_grabbing_sgskip.py: E402
galleries/examples/color/individual_colors_from_cmap.py: E402
galleries/examples/images_contours_and_fields/tricontour_demo.py: E201
galleries/examples/images_contours_and_fields/tripcolor_demo.py: E201
galleries/examples/images_contours_and_fields/triplot_demo.py: E201
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61 changes: 61 additions & 0 deletions galleries/examples/color/individual_colors_from_cmap.py
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"""
===========================================
Selecting individual colors from a colormap
===========================================

Sometimes we want to use more colors or a different set of colors than the default color
cycle provides. Selecting individual colors from one of the provided colormaps can be a
convenient way to do this.

Once we have hold of a `.Colormap` instance, the individual colors can be accessed
by passing it an index. If we want a specific number of colors taken at regular
intervals from a continuous colormap, we can create a new colormap using the
`~.Colormap.resampled` method.

For more details about manipulating colormaps, see :ref:`colormap-manipulation`.
"""

import matplotlib.pyplot as plt

import matplotlib as mpl

n_lines = 21

cmap = mpl.colormaps.get_cmap('plasma').resampled(n_lines)

fig, ax = plt.subplots(layout='constrained')

for i in range(n_lines):
ax.plot([0, i], color=cmap(i))

plt.show()

# %%
# Instead of passing colors one by one to `~.Axes.plot`, we can replace the default
# color cycle with a different set of colors. Specifying a `~cycler.cycler` instance
# within `.rcParams` achieves that. See :ref:`color_cycle` for details.


from cycler import cycler

cmap = mpl.colormaps.get_cmap('Dark2')
colors = cmap(range(cmap.N)) # cmap.N is number of unique colors in the colormap

with mpl.rc_context({'axes.prop_cycle': cycler(color=colors)}):

fig, ax = plt.subplots(layout='constrained')

for i in range(n_lines):
ax.plot([0, i])

plt.show()

# %%
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.colors.Colormap`
# - `matplotlib.colors.Colormap.resampled`
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