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Sep 24, 2018
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Doc: Sort named colors example by palette #12209

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91 changes: 58 additions & 33 deletions examples/color/named_colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,9 @@
Visualizing named colors
========================

Simple plot example with the named colors and its visual representation.
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.

For more information on colors in matplotlib see

Expand All @@ -13,52 +15,75 @@
"""

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


colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)
def plot_colortable(colors, title, sort_colors=True, emptycols=0):

# Sort colors by hue, saturation, value and name.
by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)
for name, color in colors.items())
sorted_names = [name for hsv, name in by_hsv]
cell_width = 212
cell_height = 22
swatch_width = 48
margin = 12
topmargin = 40

n = len(sorted_names)
ncols = 4
nrows = n // ncols
# Sort colors by hue, saturation, value and name.
by_hsv = ((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)
for name, color in colors.items())
if sort_colors is True:
by_hsv = sorted(by_hsv)
names = [name for hsv, name in by_hsv]

fig, ax = plt.subplots(figsize=(9, 8))
n = len(names)
ncols = 4 - emptycols
nrows = n // ncols + int(n % ncols > 0)

# Get height and width
X, Y = fig.get_dpi() * fig.get_size_inches()
h = Y / (nrows + 1)
w = X / ncols
width = cell_width * 4 + 2 * margin
height = cell_height * nrows + margin + topmargin
dpi = 72

for i, name in enumerate(sorted_names):
row = i % nrows
col = i // nrows
y = Y - (row * h) - h
fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi)
fig.subplots_adjust(margin/width, margin/height,
(width-margin)/width, (height-topmargin)/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)

xi_line = w * (col + 0.05)
xf_line = w * (col + 0.25)
xi_text = w * (col + 0.3)
for i, name in enumerate(names):
row = i % nrows
col = i // nrows
y = row * cell_height

ax.text(xi_text, y, name, fontsize=(h * 0.5),
horizontalalignment='left',
verticalalignment='center')
swatch_start_x = cell_width * col
swatch_end_x = cell_width * col + swatch_width
text_pos_x = cell_width * col + swatch_width + 7

ax.hlines(y + h * 0.1, xi_line, xf_line,
color=colors[name], linewidth=(h * 0.6))
ax.text(text_pos_x, y, name, fontsize=14,
horizontalalignment='left',
verticalalignment='center')

ax.set_xlim(0, X)
ax.set_ylim(0, Y)
ax.set_axis_off()
ax.hlines(y, swatch_start_x, swatch_end_x,
color=colors[name], linewidth=18)

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)

#sphinx_gallery_thumbnail_number = 3
plot_colortable(mcolors.CSS4_COLORS, "CSS Colors")

# 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")

fig.subplots_adjust(left=0, right=1,
top=1, bottom=0,
hspace=0, wspace=0)
plt.show()


#############################################################################
#
# ------------
Expand Down
2 changes: 2 additions & 0 deletions tutorials/colors/colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,6 +77,8 @@ def demo(sty):
# and third colors of each style's ``mpl.rcParams['axes.prop_cycle']``.
#
#
# .. _xkcd-colors:
#
# xkcd v X11/CSS4
# ---------------
#
Expand Down