(Source code, png, hires.png, pdf)
"""
Visualization of named colors.
Simple plot example with the named colors and its visual representation.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors
colors_ = list(six.iteritems(colors.cnames))
# Add the single letter colors.
for name, rgb in six.iteritems(colors.ColorConverter.colors):
hex_ = colors.rgb2hex(rgb)
colors_.append((name, hex_))
# Transform to hex color values.
hex_ = [color[1] for color in colors_]
# Get the rgb equivalent.
rgb = [colors.hex2color(color) for color in hex_]
# Get the hsv equivalent.
hsv = [colors.rgb_to_hsv(color) for color in rgb]
# Split the hsv values to sort.
hue = [color[0] for color in hsv]
sat = [color[1] for color in hsv]
val = [color[2] for color in hsv]
# Sort by hue, saturation and value.
ind = np.lexsort((val, sat, hue))
sorted_colors = [colors_[i] for i in ind]
n = len(sorted_colors)
ncols = 3
nrows = int(np.ceil(1. * n / ncols))
fig = plt.figure(figsize=(ncols*2.5, nrows*2))
for i, (name, color) in enumerate(sorted_colors):
ax = fig.add_subplot(nrows, ncols, i + 1)
ax.text(0.55, 0.5, name, fontsize=12,
horizontalalignment='left',
verticalalignment='center')
# Add extra black line a little bit thicker to make
# clear colors more visible.
ax.hlines(0.5, 0, 0.5, color='black', linewidth=10)
ax.hlines(0.5, 0, 0.5, color=color, linewidth=8)
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax.set_axis_off()
fig.subplots_adjust(left=0.01, right=0.99,
top=0.99, bottom=0.01,
hspace=1, wspace=0.1)
plt.show()
Keywords: python, matplotlib, pylab, example, codex (see Search examples)