本文实例讲述了python图像处理之颜色的定义与使用。分享给大家供大家参考，具体如下：
python中的颜色相关的定义在matplotlib模块中，为方便使用，这里给大家展示一下在这个模块中都定义了哪些选颜色。
1、颜色名称的导出
导出代码如下：
|
1
2
3
|
import matplotlib
for name, hex in matplotlib.colors.cnames.iteritems():
print(name, hex)
|
导出结果如下：
names = {
'aliceblue': '#f0f8ff',
'antiquewhite': '#faebd7',
'aqua': '#00ffff',
'aquamarine': '#7fffd4',
'azure': '#f0ffff',
'beige': '#f5f5dc',
'bisque': '#ffe4c4',
'black': '#000000',
'blanchedalmond': '#ffebcd',
'blue': '#0000ff',
'blueviolet': '#8a2be2',
'brown': '#a52a2a',
'burlywood': '#deb887',
'cadetblue': '#5f9ea0',
'chartreuse': '#7fff00',
'chocolate': '#d2691e',
'coral': '#ff7f50',
'cornflowerblue': '#6495ed',
'cornsilk': '#fff8dc',
'crimson': '#dc143c',
'cyan': '#00ffff',
'darkblue': '#00008b',
'darkcyan': '#008b8b',
'darkgoldenrod': '#b8860b',
'darkgray': '#a9a9a9',
'darkgreen': '#006400',
'darkkhaki': '#bdb76b',
'darkmagenta': '#8b008b',
'darkolivegreen': '#556b2f',
'darkorange': '#ff8c00',
'darkorchid': '#9932cc',
'darkred': '#8b0000',
'darksalmon': '#e9967a',
'darkseagreen': '#8fbc8f',
'darkslateblue': '#483d8b',
'darkslategray': '#2f4f4f',
'darkturquoise': '#00ced1',
'darkviolet': '#9400d3',
'deeppink': '#ff1493',
'deepskyblue': '#00bfff',
'dimgray': '#696969',
'dodgerblue': '#1e90ff',
'firebrick': '#b22222',
'floralwhite': '#fffaf0',
'forestgreen': '#228b22',
'fuchsia': '#ff00ff',
'gainsboro': '#dcdcdc',
'ghostwhite': '#f8f8ff',
'gold': '#ffd700',
'goldenrod': '#daa520',
'gray': '#808080',
'green': '#008000',
'greenyellow': '#adff2f',
'honeydew': '#f0fff0',
'hotpink': '#ff69b4',
'indianred': '#cd5c5c',
'indigo': '#4b0082',
'ivory': '#fffff0',
'khaki': '#f0e68c',
'lavender': '#e6e6fa',
'lavenderblush': '#fff0f5',
'lawngreen': '#7cfc00',
'lemonchiffon': '#fffacd',
'lightblue': '#add8e6',
'lightcoral': '#f08080',
'lightcyan': '#e0ffff',
'lightgoldenrodyellow': '#fafad2',
'lightgreen': '#90ee90',
'lightgray': '#d3d3d3',
'lightpink': '#ffb6c1',
'lightsalmon': '#ffa07a',
'lightseagreen': '#20b2aa',
'lightskyblue': '#87cefa',
'lightslategray': '#778899',
'lightsteelblue': '#b0c4de',
'lightyellow': '#ffffe0',
'lime': '#00ff00',
'limegreen': '#32cd32',
'linen': '#faf0e6',
'magenta': '#ff00ff',
'maroon': '#800000',
'mediumaquamarine': '#66cdaa',
'mediumblue': '#0000cd',
'mediumorchid': '#ba55d3',
'mediumpurple': '#9370db',
'mediumseagreen': '#3cb371',
'mediumslateblue': '#7b68ee',
'mediumspringgreen': '#00fa9a',
'mediumturquoise': '#48d1cc',
'mediumvioletred': '#c71585',
'midnightblue': '#191970',
'mintcream': '#f5fffa',
'mistyrose': '#ffe4e1',
'moccasin': '#ffe4b5',
'navajowhite': '#ffdead',
'navy': '#000080',
'oldlace': '#fdf5e6',
'olive': '#808000',
'olivedrab': '#6b8e23',
'orange': '#ffa500',
'orangered': '#ff4500',
'orchid': '#da70d6',
'palegoldenrod': '#eee8aa',
'palegreen': '#98fb98',
'paleturquoise': '#afeeee',
'palevioletred': '#db7093',
'papayawhip': '#ffefd5',
'peachpuff': '#ffdab9',
'peru': '#cd853f',
'pink': '#ffc0cb',
'plum': '#dda0dd',
'powderblue': '#b0e0e6',
'purple': '#800080',
'red': '#ff0000',
'rosybrown': '#bc8f8f',
'royalblue': '#4169e1',
'saddlebrown': '#8b4513',
'salmon': '#fa8072',
'sandybrown': '#faa460',
'seagreen': '#2e8b57',
'seashell': '#fff5ee',
'sienna': '#a0522d',
'silver': '#c0c0c0',
'skyblue': '#87ceeb',
'slateblue': '#6a5acd',
'slategray': '#708090',
'snow': '#fffafa',
'springgreen': '#00ff7f',
'steelblue': '#4682b4',
'tan': '#d2b48c',
'teal': '#008080',
'thistle': '#d8bfd8',
'tomato': '#ff6347',
'turquoise': '#40e0d0',
'violet': '#ee82ee',
'wheat': '#f5deb3',
'white': '#ffffff',
'whitesmoke': '#f5f5f5',
'yellow': '#ffff00',
'yellowgreen': '#9acd32'}
2、颜色图示
通过如下代码。可将上述颜色给逐个显示出来，代码如下：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
|
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.colors as colors
import math
fig = plt.figure()
ax = fig.add_subplot(111)
ratio = 1.0 / 3.0
count = math.ceil(math.sqrt(len(colors.cnames)))
x_count = count * ratio
y_count = count / ratio
x = 0
y = 0
w = 1 / x_count
h = 1 / y_count
for c in colors.cnames:
pos = (x / x_count, y / y_count)
ax.add_patch(patches.rectangle(pos, w, h, color=c))
ax.annotate(c, xy=pos)
if y >= y_count-1:
x += 1
y = 0
else:
y += 1
plt.show()
|
显示结果如下：
希望本文所述对大家python程序设计有所帮助。
原文链接：https://blog.csdn.net/guduruyu/article/details/77836173