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The module nc collects named colors in Python.
There are two ways to use nc.
The simple way is as an intuitive and forgiving interface to a collection of over 2000 named colors, put together from almost 20 color palettes scraped from the Internet.
In the simplest use, it's a collection of about 1700 colors, some scraped from the Wikipedia (which includes some very strange colors), with a neat API.
For more precise use, color collections can be put together from schemes
built into nc (currently html, juce, pwg, wikipedia, x11),
or from custom color schemes created by the user.
There is also a collection of color swatches for the default color collection.
import nc
for c in nc.red, nc.light_green, nc.DarkGrey, nc['PUCE']:
print(c, '=', *c)
# Prints:
# Red = 255 0 0
# Light green = 144 238 144
# Dark grey = 85 85 85
# Puce = 204 136 153
# Colors have red, green, blue or r, g, b components
assert nc.yellow.red == nc.yellow.r == 0
assert nc.yellow.green == nc.yellow.g == 255
assert nc.yellow.blue == nc.yellow.b == 255
# Lots of ways to reach colors
assert nc.black == nc(0, 0, 0) == nc('0, 0, 0') == nc('(0, 0, 0)') == nc(0)
# ``nc`` looks like a dict
assert nc.red == nc['red'] == nc['RED']
for name, color in nc.items():
print(name, '=', *color)
# Prints:
# Absolute Zero = 0 72 186
# Acid green = 176 191 26
# Aero = 124 185 232
# ... many more
# closest() function
from random import randrange
for i in range(8):
c1 = randrange(256), randrange(256), randrange(256)
c2 = nc.closest(c1)
print(c1, 'is closest to', c2, *c2)
# Prints:
# (193, 207, 185) is closest to Honeydew 3 = 193 205 193
# (181, 162, 188) is closest to Lilac = 200 162 200
# (122, 110, 250) is closest to Slate blue 1 = 131 111 255
# (56, 218, 180) is closest to Turquoise = 64 224 208