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Merge pull request #27679 from meeseeksmachine/auto-backport-of-pr-27678-on-v3.8.2-doc
Backport PR #27678 on branch v3.8.2-doc (DOC: selecting individual colors from a colormap)
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.flake8

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galleries/users_explain/text/text_props.py: E501
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galleries/examples/animation/frame_grabbing_sgskip.py: E402
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galleries/examples/color/individual_colors_from_cmap.py: E402
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galleries/examples/images_contours_and_fields/tricontour_demo.py: E201
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galleries/examples/images_contours_and_fields/tripcolor_demo.py: E201
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galleries/examples/images_contours_and_fields/triplot_demo.py: E201
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"""
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===========================================
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Selecting individual colors from a colormap
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===========================================
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Sometimes we want to use more colors or a different set of colors than the default color
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cycle provides. Selecting individual colors from one of the provided colormaps can be a
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convenient way to do this.
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Once we have hold of a `.Colormap` instance, the individual colors can be accessed
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by passing it an index. If we want a specific number of colors taken at regular
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intervals from a continuous colormap, we can create a new colormap using the
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`~.Colormap.resampled` method.
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For more details about manipulating colormaps, see :ref:`colormap-manipulation`.
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"""
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import matplotlib.pyplot as plt
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import matplotlib as mpl
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n_lines = 21
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cmap = mpl.colormaps.get_cmap('plasma').resampled(n_lines)
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fig, ax = plt.subplots(layout='constrained')
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for i in range(n_lines):
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ax.plot([0, i], color=cmap(i))
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plt.show()
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# %%
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# Instead of passing colors one by one to `~.Axes.plot`, we can replace the default
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# color cycle with a different set of colors. Specifying a `~cycler.cycler` instance
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# within `.rcParams` achieves that. See :ref:`color_cycle` for details.
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from cycler import cycler
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cmap = mpl.colormaps.get_cmap('Dark2')
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colors = cmap(range(cmap.N)) # cmap.N is number of unique colors in the colormap
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with mpl.rc_context({'axes.prop_cycle': cycler(color=colors)}):
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fig, ax = plt.subplots(layout='constrained')
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for i in range(n_lines):
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ax.plot([0, i])
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plt.show()
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# %%
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#
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# .. admonition:: References
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#
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# - `matplotlib.colors.Colormap`
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# - `matplotlib.colors.Colormap.resampled`

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