Apr 28, 2022 · Apr 26, 2022 · Apr 27, 2022 · Apr 27, 2022 · Apr 27, 2022 · Apr 28, 2022
diff --git a/examples/color/named_colors.py b/examples/color/named_colors.py
 List of named colors
 ====================

 This plots a list of the named colors supported in matplotlib. Note that
 :ref:`xkcd colors <xkcd-colors>` are supported as well, but are not listed here
 for brevity.

 This plots a list of the named colors supported in matplotlib.
 For more information on colors in matplotlib see

 * the :doc:`/tutorials/colors/colors` tutorial;
 * the `matplotlib.colors` API;
 * the :doc:`/gallery/color/color_demo`.

 ----------------------------
 Helper Function for Plotting
 ----------------------------
 First we define a helper function for making a table of colors, then we use it
 on some common color categories.
 """

 from matplotlib.patches import Rectangle
 import matplotlib.pyplot as plt
 import matplotlib.colors as mcolors


 def plot_colortable(colors,title,sort_colors=True, emptycols=0):
 def plot_colortable(colors, sort_colors=True, emptycols=0):

    cell_width = 212
    cell_height = 22
    swatch_width = 48
    margin = 12
    topmargin = 40

    # Sort colors by hue, saturation, value and name.
    if sort_colors is True:
    nrows = n // ncols + int(n % ncols > 0)

    width = cell_width * 4 + 2 * margin
    height = cell_height * nrows +margin + topmargin
    height = cell_height * nrows +2 * margin
    dpi = 72

    fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi)
    fig.subplots_adjust(margin/width, margin/height,
                        (width-margin)/width, (height-topmargin)/height)
                        (width-margin)/width, (height-margin)/height)
    ax.set_xlim(0, cell_width * 4)
    ax.set_ylim(cell_height * (nrows-0.5), -cell_height/2.)
    ax.yaxis.set_visible(False)
    ax.xaxis.set_visible(False)
    ax.set_axis_off()
    ax.set_title(title, fontsize=24, loc="left", pad=10)

    for i, name in enumerate(names):
        row = i % nrows

    return fig

 plot_colortable(mcolors.BASE_COLORS, "Base Colors",
                sort_colors=False, emptycols=1)
 plot_colortable(mcolors.TABLEAU_COLORS, "Tableau Palette",
                sort_colors=False, emptycols=2)
 #############################################################################
 # -----------
 # Base colors
 # -----------

 # sphinx_gallery_thumbnail_number = 3
 plot_colortable(mcolors.CSS4_COLORS, "CSS Colors")
 plot_colortable(mcolors.BASE_COLORS, sort_colors=False, emptycols=1)

 # Optionally plot the XKCD colors (Caution: will produce large figure)
 # xkcd_fig = plot_colortable(mcolors.XKCD_COLORS, "XKCD Colors")
 # xkcd_fig.savefig("XKCD_Colors.png")
 #############################################################################
 # ---------------
 # Tableau Palette
 # ---------------

 plt.show()
 plot_colortable(mcolors.TABLEAU_COLORS, sort_colors=False, emptycols=2)

 #############################################################################
 # ----------
 # CSS Colors
 # ----------

 # sphinx_gallery_thumbnail_number = 3
 plot_colortable(mcolors.CSS4_COLORS)
 plt.show()

 #############################################################################
 # -----------
 # XKCD Colors
 # -----------
 # XKCD colors are supported, but they produce a large figure, so we skip them
 # for now. You can use the following code if desired::
 #
 #     xkcd_fig = plot_colortable(mcolors.XKCD_COLORS, "XKCD Colors")
 #     xkcd_fig.savefig("XKCD_Colors.png")
 #
 # .. admonition:: References
 #
Original file line number	Diff line number	Diff line change
Expand Up		@@ -3,29 +3,31 @@
		List of named colors
		====================

		This plots a list of the named colors supported in matplotlib. Note that
		:ref:`xkcd colors <xkcd-colors>` are supported as well, but are not listed here
		for brevity.

		This plots a list of the named colors supported in matplotlib.
		For more information on colors in matplotlib see

		* the :doc:`/tutorials/colors/colors` tutorial;
		* the `matplotlib.colors` API;
		* the :doc:`/gallery/color/color_demo`.

		----------------------------
		Helper Function for Plotting
		----------------------------
		First we define a helper function for making a table of colors, then we use it
		on some common color categories.
		"""

		from matplotlib.patches import Rectangle
		import matplotlib.pyplot as plt
		import matplotlib.colors as mcolors


		def plot_colortable(colors,title,sort_colors=True, emptycols=0):
		def plot_colortable(colors, sort_colors=True, emptycols=0):

		cell_width = 212
		cell_height = 22
		swatch_width = 48
		margin = 12
		topmargin = 40

		# Sort colors by hue, saturation, value and name.
		if sort_colors is True:
Expand All		@@ -41,18 +43,17 @@ def plot_colortable(colors, title, sort_colors=True, emptycols=0):
		nrows = n // ncols + int(n % ncols > 0)

		width = cell_width * 4 + 2 * margin
		height = cell_height * nrows +margin + topmargin
		height = cell_height * nrows +2 * margin
		dpi = 72

		fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi)
		fig.subplots_adjust(margin/width, margin/height,
		(width-margin)/width, (height-topmargin)/height)
		(width-margin)/width, (height-margin)/height)
		ax.set_xlim(0, cell_width * 4)
		ax.set_ylim(cell_height * (nrows-0.5), -cell_height/2.)
		ax.yaxis.set_visible(False)
		ax.xaxis.set_visible(False)
		ax.set_axis_off()
		ax.set_title(title, fontsize=24, loc="left", pad=10)

		for i, name in enumerate(names):
		row = i % nrows
Expand All		@@ -73,22 +74,38 @@ def plot_colortable(colors, title, sort_colors=True, emptycols=0):

		return fig

		plot_colortable(mcolors.BASE_COLORS, "Base Colors",
		sort_colors=False, emptycols=1)
		plot_colortable(mcolors.TABLEAU_COLORS, "Tableau Palette",
		sort_colors=False, emptycols=2)
		#############################################################################
		# -----------
		# Base colors
		# -----------

		# sphinx_gallery_thumbnail_number = 3
		plot_colortable(mcolors.CSS4_COLORS, "CSS Colors")
		plot_colortable(mcolors.BASE_COLORS, sort_colors=False, emptycols=1)

		# Optionally plot the XKCD colors (Caution: will produce large figure)
		# xkcd_fig = plot_colortable(mcolors.XKCD_COLORS, "XKCD Colors")
		# xkcd_fig.savefig("XKCD_Colors.png")
		#############################################################################
		# ---------------
		# Tableau Palette
		# ---------------

		plt.show()
		plot_colortable(mcolors.TABLEAU_COLORS, sort_colors=False, emptycols=2)

		#############################################################################
		# ----------
		# CSS Colors
		# ----------

		# sphinx_gallery_thumbnail_number = 3
		plot_colortable(mcolors.CSS4_COLORS)
		plt.show()

		#############################################################################
		# -----------
		# XKCD Colors
		# -----------
		# XKCD colors are supported, but they produce a large figure, so we skip them
		# for now. You can use the following code if desired::
		#
		# xkcd_fig = plot_colortable(mcolors.XKCD_COLORS, "XKCD Colors")
		# xkcd_fig.savefig("XKCD_Colors.png")
		#
		# .. admonition:: References
		#
Expand Down