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Backport PR #24880 on branch v3.6.2-doc (Minor cleanups to named colors example.) #24882

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Merged
merged 1 commit into from
Jan 4, 2023
Merged

Backport PR #24880 on branch v3.6.2-doc (Minor cleanups to named colors example.) #24882

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19 changes: 9 additions & 10 deletions examples/color/named_colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,12 +17,14 @@
on some common color categories.
"""

import math

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


def plot_colortable(colors, sort_colors=True, emptycols=0):
def plot_colortable(colors, *, ncols=4, sort_colors=True):

cell_width = 212
cell_height = 22
Expand All @@ -31,16 +33,13 @@ def plot_colortable(colors, sort_colors=True, emptycols=0):

# Sort colors by hue, saturation, value and name.
if sort_colors is True:
by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgb(color))),
name)
for name, color in colors.items())
names = [name for hsv, name in by_hsv]
names = sorted(
colors, key=lambda c: tuple(mcolors.rgb_to_hsv(mcolors.to_rgb(c))))
else:
names = list(colors)

n = len(names)
ncols = 4 - emptycols
nrows = n // ncols + int(n % ncols > 0)
nrows = math.ceil(n / ncols)

width = cell_width * 4 + 2 * margin
height = cell_height * nrows + 2 * margin
Expand Down Expand Up @@ -79,14 +78,14 @@ def plot_colortable(colors, sort_colors=True, emptycols=0):
# Base colors
# -----------

plot_colortable(mcolors.BASE_COLORS, sort_colors=False, emptycols=1)
plot_colortable(mcolors.BASE_COLORS, ncols=3, sort_colors=False)

#############################################################################
# ---------------
# Tableau Palette
# ---------------

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

#############################################################################
# ----------
Expand All @@ -104,7 +103,7 @@ def plot_colortable(colors, sort_colors=True, emptycols=0):
# 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 = plot_colortable(mcolors.XKCD_COLORS)
# xkcd_fig.savefig("XKCD_Colors.png")
#
# .. admonition:: References
Expand Down