Feb 4, 2024 · Feb 4, 2024
diff --git a/.flake8 b/.flake8
    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
diff --git a/galleries/examples/color/individual_colors_from_cmap.py b/galleries/examples/color/individual_colors_from_cmap.py
 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.
 We can retrieve colors from any `.Colormap` by calling it with a float or a list of
 floats in the range [0, 1]; e.g. ``cmap(0.5)`` will give the middle color. See also
 `.Colormap.__call__`.

 For more details about manipulating colormaps, see :ref:`colormap-manipulation`.
 Extracting colors from a continuous colormap
 --------------------------------------------
 """

 import matplotlib.pyplot as plt
 import numpy as np

 import matplotlib as mpl

 n_lines = 21
 cmap = mpl.colormaps['plasma']

 cmap = mpl.colormaps.get_cmap('plasma').resampled(n_lines)
 # Take colors at regular intervals spanning the colormap.
 colors = cmap(np.linspace(0, 1, n_lines))

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

 for iinrange(n_lines):
    ax.plot([0, i], color=cmap(i))
 for i, colorinenumerate(colors):
    ax.plot([0, i], color=color)

 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
 #
 # Extracting colors from a discrete colormap
 # ------------------------------------------
 # The list of all colors in a `.ListedColormap` is available as the ``colors``
 # attribute.

 withmpl.rc_context({'axes.prop_cycle': cycler(color=colors)}):
 colors =mpl.colormaps['Dark2'].colors

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

 for iinrange(n_lines):
 ax.plot([0, i])
 for i, colorinenumerate(colors):
    ax.plot([0, i], color=color)

 plt.show()

 # %%
 # See Also
 # --------
 #
 # For more details about manipulating colormaps, see :ref:`colormap-manipulation`.  To
 # change the default color cycle, see :ref:`color_cycle`.
 #
 # .. admonition:: References
 #
Original file line number	Diff line number	Diff line change
Expand Up		@@ -73,7 +73,6 @@ 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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Original file line number	Diff line number	Diff line change
Expand Up		@@ -7,50 +7,54 @@
		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.
		We can retrieve colors from any `.Colormap` by calling it with a float or a list of
		floats in the range [0, 1]; e.g. ``cmap(0.5)`` will give the middle color. See also
		`.Colormap.__call__`.

		For more details about manipulating colormaps, see :ref:`colormap-manipulation`.
		Extracting colors from a continuous colormap
		--------------------------------------------
		"""

		import matplotlib.pyplot as plt
		import numpy as np

		import matplotlib as mpl

		n_lines = 21
		cmap = mpl.colormaps['plasma']

		cmap = mpl.colormaps.get_cmap('plasma').resampled(n_lines)
		# Take colors at regular intervals spanning the colormap.
		colors = cmap(np.linspace(0, 1, n_lines))

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

		for iinrange(n_lines):
		ax.plot([0, i], color=cmap(i))
		for i, colorinenumerate(colors):
		ax.plot([0, i], color=color)

		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
		#
		# Extracting colors from a discrete colormap
		# ------------------------------------------
		# The list of all colors in a `.ListedColormap` is available as the ``colors``
		# attribute.

		withmpl.rc_context({'axes.prop_cycle': cycler(color=colors)}):
		colors =mpl.colormaps['Dark2'].colors

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

		for iinrange(n_lines):
		ax.plot([0, i])
		for i, colorinenumerate(colors):
		ax.plot([0, i], color=color)

		plt.show()

		# %%
		# See Also
		# --------
		#
		# For more details about manipulating colormaps, see :ref:`colormap-manipulation`. To
		# change the default color cycle, see :ref:`color_cycle`.
		#
		# .. admonition:: References
		#
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