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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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docstring and pep8
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@fariza
fariza committed Feb 12, 2014
commit 29d8e1eff2a740c5ea03f4d35ba42ed9fb213b3d
48 changes: 27 additions & 21 deletions examples/color/named_colors.py
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@@ -1,44 +1,50 @@
"""
Visualization of named colors.

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

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

from matplotlib import colors

colors_ = colors.cnames.items()
#add the single letter colors

# Add the single letter colors.
for name, rgb in colors.ColorConverter.colors.items():
hex_ = colors.rgb2hex(rgb)
colors_.append((name, hex_))
#hex color values

# Transform to hex color values.
hex_ = [color[1] for color in colors_]
#rgb equivalent
# Get the rgb equivalent.
rgb = [colors.hex2color(color) for color in hex_]
#hsv equivalent
# Get the hsv equivalent.
hsv = [colors.rgb_to_hsv(color) for color in rgb]
#split the hsv to sort

# 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

# 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*5, nrows*4))
for i, (name, color) in enumerate(sorted_colors):
ax = fig.add_subplot(nrows, ncols, i + 1,
xticks=[], yticks=[])
ax = fig.add_subplot(nrows, ncols, i + 1)
ax.text(0.55, 0.5, name, fontsize=12,
horizontalalignment='left',
verticalalignment='center')

ax.hlines(0.5, 0, 0.5, color='black', linewidth=9)
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)
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