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"""
====================
List of named colors
====================
This plots a list of the named colors supported by Matplotlib.
For more information on colors in matplotlib see
* the :ref:`colors_def` 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.
"""
import math
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
from matplotlib.patches import Rectangle
def plot_colortable(colors, *, ncols=4, sort_colors=True):
cell_width = 212
cell_height = 22
swatch_width = 48
margin = 12
# Sort colors by hue, saturation, value and name.
if sort_colors is True:
names = sorted(
colors, key=lambda c: tuple(mcolors.rgb_to_hsv(mcolors.to_rgb(c))))
else:
names = list(colors)
n = len(names)
nrows = math.ceil(n / ncols)
width = cell_width * ncols + 2 * margin
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-margin)/height)
ax.set_xlim(0, cell_width * ncols)
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()
for i, name in enumerate(names):
row = i % nrows
col = i // nrows
y = row * cell_height
swatch_start_x = cell_width * col
text_pos_x = cell_width * col + swatch_width + 7
ax.text(text_pos_x, y, name, fontsize=14,
horizontalalignment='left',
verticalalignment='center')
ax.add_patch(
Rectangle(xy=(swatch_start_x, y-9), width=swatch_width,
height=18, facecolor=colors[name], edgecolor='0.7')
)
return fig
# %%
# -----------
# Base colors
# -----------
plot_colortable(mcolors.BASE_COLORS, ncols=3, sort_colors=False)
# %%
# ---------------
# Tableau Palette
# ---------------
plot_colortable(mcolors.TABLEAU_COLORS, ncols=2, sort_colors=False)
# %%
# ----------
# CSS Colors
# ----------
# sphinx_gallery_thumbnail_number = 3
plot_colortable(mcolors.CSS4_COLORS)
plt.show()
# %%
# -----------
# XKCD Colors
# -----------
# Matplotlib supports colors from the
# `xkcd color survey <https://xkcd.com/color/rgb/>`_, e.g. ``"xkcd:sky blue"``. Since
# this contains almost 1000 colors, a figure of this would be very large and is thus
# omitted here. You can use the following code to generate the overview yourself ::
#
# xkcd_fig = plot_colortable(mcolors.XKCD_COLORS)
# xkcd_fig.savefig("XKCD_Colors.png")
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.colors`
# - `matplotlib.colors.rgb_to_hsv`
# - `matplotlib.colors.to_rgba`
# - `matplotlib.figure.Figure.get_size_inches`
# - `matplotlib.figure.Figure.subplots_adjust`
# - `matplotlib.axes.Axes.text`
# - `matplotlib.patches.Rectangle`
#
# .. tags::
#
# styling: color
# purpose: reference
|
