10000 Named colors example by fariza · Pull Request #2801 · matplotlib/matplotlib · GitHub
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Named colors example #2801

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Merged
merged 6 commits into from
Feb 14, 2014
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Named colors example #2801

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3a596d3
colors unsorted
fariza Feb 6, 2014
20d21c0
sorted by hue, sat, val
fariza Feb 10, 2014
7115159
adding axes one at a time
fariza Feb 10, 2014
d38932a
three column arrangement
fariza Feb 11, 2014
29d8e1e
docstring and pep8
fariza Feb 12, 2014
e29262f
six and future imports
fariza Feb 12, 2014
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sorted by hue, sat, val
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@fariza
fariza committed Feb 10, 2014
commit 20d21c00037906e3dc43020ce73f122c6111bb49
41 changes: 25 additions & 16 deletions examples/color/named_colors.py
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#issue https://github.com/matplotlib/matplotlib/issues/2164

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import cnames
from matplotlib import cbook
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Unused import

from matplotlib import colors
from itertools import chain

print len(cnames.keys())
n = len(cnames)
n = len(colors.cnames)
ncols = n / 15
nrows = n / ncols
names = cnames.keys()
colors = cnames.values()

names = colors.cnames.keys()
hex_ = colors.cnames.values()
rgb = [colors.hex2color(color) for color in hex_]
hsv = [colors.rgb_to_hsv(color) for color in rgb]

hue = [color[0] for color in hsv]
sat = [color[1] for color in hsv]
val = [color[2] for color in hsv]

ind = np.lexsort((val, sat, hue))

names_ = []
colors_ = []

for i in ind:
names_.append(names[i])
colors_.append(hex_[i])

fig, axes_ = plt.subplots(nrows=nrows, ncols=ncols)
axes = list(chain(*axes_))

for i in range(n):
title = axes[i].set_title(names[i])
title = axes[i].set_title(names_[i])
title.set_size('xx-small')
axes[i].set_axis_bgcolor(colors[i])
axes[i].set_axis_bgcolor(colors_[i])
axes[i].spines['right'].set_visible(False)
axes[i].spines['top'].set_visible(False)
axes[i].spines['bottom'].set_visible(False)
axes[i].spines['left'].set_visible(False)
axes[i].set_xticks([])
axes[i].set_yticks([])

# axes[i].set_label(names[i])

# for axes in list(chain(*axes_)):
# axes.set_axis_off()

# print nrows, ncols, fig, axes
plt.show()
plt.tight_layout()
plt.show()
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