matplotlib.colors(ListedColormap)
hexadecimal colour code:
colour colour (Chinese) clour code RGB
|
LightPink
|
浅粉色
|
#FFB6C1
|
255,182,193
|
|
Pink
|
粉红
|
#FFC0CB
|
255,192,203
|
|
Crimson
|
猩红
|
#DC143C
|
220,20,60
|
|
LavenderBlush
|
脸红的淡紫色
|
#FFF0F5
|
255,240,245
|
|
PaleVioletRed
|
苍白的紫罗兰红色
|
#DB7093
|
219,112,147
|
|
HotPink
|
热情的粉红
|
#FF69B4
|
255,105,180
|
|
DeepPink
|
深粉色
|
#FF1493
|
255,20,147
|
|
MediumVioletRed
|
适中的紫罗兰红色
|
#C71585
|
199,21,133
|
|
Orchid
|
兰花的紫色
|
#DA70D6
|
218,112,214
|
|
Thistle
|
蓟
|
#D8BFD8
|
216,191,216
|
|
plum
|
李子
|
#DDA0DD
|
221,160,221
|
|
Violet
|
紫罗兰
|
#EE82EE
|
238,130,238
|
|
Magenta
|
洋红
|
#FF00FF
|
255,0,255
|
|
Fuchsia
|
灯笼海棠（紫红色）
|
#FF00FF
|
255,0,255
|
|
DarkMagenta
|
深洋红色
|
#8B008B
|
139,0,139
|
|
Purple
|
紫色
|
#800080
|
128,0,128
|
|
MediumOrchid
|
适中的兰花紫
|
#BA55D3
|
186,85,211
|
|
DarkVoilet
|
深紫罗兰色
|
#9400D3
|
148,0,211
|
|
DarkOrchid
|
深兰花紫
|
#9932CC
|
153,50,204
|
|
Indigo
|
靛青
|
#4B0082
|
75,0,130
|
|
BlueViolet
|
深紫罗兰的蓝色
|
#8A2BE2
|
138,43,226
|
|
MediumPurple
|
适中的紫色
|
#9370DB
|
147,112,219
|
|
MediumSlateBlue
|
适中的板岩暗蓝灰色
|
#7B68EE
|
123,104,238
|
|
SlateBlue
|
板岩暗蓝灰色
|
#6A5ACD
|
106,90,205
|
|
DarkSlateBlue
|
深岩暗蓝灰色
|
#483D8B
|
72,61,139
|
|
Lavender
|
薰衣草花的淡紫色
|
#E6E6FA
|
230,230,250
|
|
GhostWhite
|
幽灵的白色
|
#F8F8FF
|
248,248,255
|
|
Blue
|
纯蓝
|
#0000FF
|
0,0,255
|
|
MediumBlue
|
适中的蓝色
|
#0000CD
|
0,0,205
|
|
MidnightBlue
|
午夜的蓝色
|
#191970
|
25,25,112
|
|
DarkBlue
|
深蓝色
|
#00008B
|
0,0,139
|
|
Navy
|
海军蓝
|
#000080
|
0,0,128
|
|
RoyalBlue
|
皇军蓝
|
#4169E1
|
65,105,225
|
|
CornflowerBlue
|
矢车菊的蓝色
|
#6495ED
|
100,149,237
|
|
LightSteelBlue
|
淡钢蓝
|
#B0C4DE
|
176,196,222
|
|
LightSlateGray
|
浅石板灰
|
#778899
|
119,136,153
|
|
SlateGray
|
石板灰
|
#708090
|
112,128,144
|
|
DoderBlue
|
道奇蓝
|
#1E90FF
|
30,144,255
|
|
AliceBlue
|
爱丽丝蓝
|
#F0F8FF
|
240,248,255
|
|
SteelBlue
|
钢蓝
|
#4682B4
|
70,130,180
|
|
LightSkyBlue
|
淡蓝色
|
#87CEFA
|
135,206,250
|
|
SkyBlue
|
天蓝色
|
#87CEEB
|
135,206,235
|
|
DeepSkyBlue
|
深天蓝
|
#00BFFF
|
0,191,255
|
|
LightBLue
|
淡蓝
|
#ADD8E6
|
173,216,230
|
|
PowDerBlue
|
火药蓝
|
#B0E0E6
|
176,224,230
|
|
CadetBlue
|
军校蓝
|
#5F9EA0
|
95,158,160
|
|
Azure
|
蔚蓝色
|
#F0FFFF
|
240,255,255
|
|
LightCyan
|
淡青色
|
#E1FFFF
|
225,255,255
|
|
PaleTurquoise
|
苍白的绿宝石
|
#AFEEEE
|
175,238,238
|
|
Cyan
|
青色
|
#00FFFF
|
0,255,255
|
|
Aqua
|
水绿色
|
#00FFFF
|
0,255,255
|
|
DarkTurquoise
|
深绿宝石
|
#00CED1
|
0,206,209
|
|
DarkSlateGray
|
深石板灰
|
#2F4F4F
|
47,79,79
|
|
DarkCyan
|
深青色
|
#008B8B
|
0,139,139
|
|
Teal
|
水鸭色
|
#008080
|
0,128,128
|
|
MediumTurquoise
|
适中的绿宝石
|
#48D1CC
|
72,209,204
|
|
LightSeaGreen
|
浅海洋绿
|
#20B2AA
|
32,178,170
|
|
Turquoise
|
绿宝石
|
#40E0D0
|
64,224,208
|
|
BabyGreen
|
绿玉\宝强绿
|
#7FFFAA
|
127,255,170
|
|
MediumAquamarine
|
适中的碧绿色
|
#00FA9A
|
0,250,154
|
|
MediumSpringGreen
|
适中的春天的绿色
|
#F5FFFA
|
245,255,250
|
|
MintCream
|
薄荷奶油
|
#00FF7F
|
0,255,127
|
|
SpringGreen
|
春天的绿色
|
#3CB371
|
60,179,113
|
|
SeaGreen
|
海洋绿
|
#2E8B57
|
46,139,87
|
|
Honeydew
|
蜂蜜
|
#F0FFF0
|
240,255,0
|
|
LightGreen
|
淡绿色
|
#90EE90
|
144,238,144
|
|
PaleGreen
|
苍白的绿色
|
#98FB98
|
152,251,152
|
|
DarkSeaGreen
|
深海洋绿
|
#8FBC8F
|
143,188,143
|
|
LimeGreen
|
酸橙绿
|
#32CD32
|
50,205,50
|
|
Lime
|
酸橙色
|
#00FF00
|
0,255,0
|
|
ForestGreen
|
森林绿
|
#228B22
|
34,139,34
|
|
Green
|
纯绿
|
#008000
|
0,128,0
|
|
DarkGreen
|
深绿色
|
#006400
|
0,100,0
|
|
Chartreuse
|
查特酒绿
|
#7FFF00
|
127,255,0
|
|
LawnGreen
|
草坪绿
|
#7CFC00
|
124,252,0
|
|
GreenYellow
|
绿黄色
|
#ADFF2F
|
173,255,47
|
|
OliveDrab
|
橄榄土褐色
|
#556B2F
|
85,107,47
|
|
Beige
|
米色（浅褐色）
|
#6B8E23
|
107,142,35
|
|
LightGoldenrodYellow
|
浅秋麒麟黄
|
#FAFAD2
|
250,250,210
|
|
Ivory
|
象牙色
|
#FFFFF0
|
255,255,240
|
|
LightYellow
|
浅黄色
|
#FFFFE0
|
255,255,224
|
|
Yellow
|
纯黄
|
#FFFF00
|
255,255,0
|
|
Olive
|
橄榄
|
#808000
|
128,128,0
|
|
DarkKhaki
|
深卡其布
|
#BDB76B
|
189,183,107
|
|
LemonChiffon
|
柠檬薄纱
|
#FFFACD
|
255,250,205
|
|
PaleGodenrod
|
灰秋麒麟
|
#EEE8AA
|
238,232,170
|
|
Khaki
|
卡其布
|
#F0E68C
|
240,230,140
|
|
Gold
|
金
|
#FFD700
|
255,215,0
|
|
Cornislk
|
玉米色
|
#FFF8DC
|
255,248,220
|
|
GoldEnrod
|
秋麒麟
|
#DAA520
|
218,165,32
|
|
FloralWhite
|
花的白色
|
#FFFAF0
|
255,250,240
|
|
OldLace
|
老饰带
|
#FDF5E6
|
253,245,230
|
|
Wheat
|
小麦色
|
#F5DEB3
|
245,222,179
|
|
Moccasin
|
鹿皮鞋
|
#FFE4B5
|
255,228,181
|
|
Orange
|
橙色
|
#FFA500
|
255,165,0
|
|
PapayaWhip
|
番木瓜
|
#FFEFD5
|
255,239,213
|
|
BlanchedAlmond
|
漂白的杏仁
|
#FFEBCD
|
255,235,205
|
|
NavajoWhite
|
Navajo白
|
#FFDEAD
|
255,222,173
|
|
AntiqueWhite
|
古代的白色
|
#FAEBD7
|
250,235,215
|
|
Tan
|
晒黑
|
#D2B48C
|
210,180,140
|
|
BrulyWood
|
结实的树
|
#DEB887
|
222,184,135
|
|
Bisque
|
（浓汤）乳脂，番茄等
|
#FFE4C4
|
255,228,196
|
|
DarkOrange
|
深橙色
|
#FF8C00
|
255,140,0
|
|
Linen
|
亚麻布
|
#FAF0E6
|
250,240,230
|
|
Peru
|
秘鲁
|
#CD853F
|
205,133,63
|
|
PeachPuff
|
桃色
|
#FFDAB9
|
255,218,185
|
|
SandyBrown
|
沙棕色
|
#F4A460
|
244,164,96
|
|
Chocolate
|
巧克力
|
#D2691E
|
210,105,30
|
|
SaddleBrown
|
马鞍棕色
|
#8B4513
|
139,69,19
|
|
SeaShell
|
海贝壳
|
#FFF5EE
|
255,245,238
|
|
Sienna
|
黄土赭色
|
#A0522D
|
160,82,45
|
|
LightSalmon
|
浅鲜肉（鲑鱼）色
|
#FFA07A
|
255,160,122
|
|
Coral
|
珊瑚
|
#FF7F50
|
255,127,80
|
|
OrangeRed
|
橙红色
|
#FF4500
|
255,69,0
|
|
DarkSalmon
|
深鲜肉（鲑鱼）色
|
#E9967A
|
233,150,122
|
|
Tomato
|
番茄
|
#FF6347
|
255,99,71
|
|
MistyRose
|
薄雾玫瑰
|
#FFE4E1
|
255,228,225
|
|
Salmon
|
鲜肉（鲑鱼）色
|
#FA8072
|
250,128,114
|
|
Snow
|
雪
|
#FFFAFA
|
255,250,250
|
|
LightCoral
|
淡珊瑚色
|
#F08080
|
240,128,128
|
|
RosyBrown
|
玫瑰棕色
|
#BC8F8F
|
188,143,143
|
|
IndianRed
|
印度红
|
#CD5C5C
|
205,92,92
|
|
Red
|
纯红
|
#FF0000
|
255,0,0
|
|
Brown
|
棕色
|
#A52A2A
|
165,42,42
|
|
FireBrick
|
耐火砖
|
#B22222
|
178,34,34
|
|
DarkRed
|
深红色
|
#8B0000
|
139,0,0
|
|
Maroon
|
栗色
|
#800000
|
128,0,0
|
|
White
|
纯白
|
#FFFFFF
|
255,255,255
|
|
WhiteSmoke
|
白烟
|
#F5F5F5
|
245,245,245
|
|
Gainsboro
|
Gainsboro
|
#DCDCDC
|
220,220,220
|
|
LightGray
|
浅灰色
|
#D3D3D3
|
211,211,211
|
|
Silver
|
银白色
|
#C0C0C0
|
192,192,192
|
|
DarkGray
|
深灰色
|
#A9A9A9
|
169,169,169
|
|
Gray
|
灰色
|
#808080
|
128,128,128
|
|
DimGray
|
暗淡的灰色
|
#696969
|
105,105,105
|
|
Black
|
纯黑
|
#000000
|
0,0,0
|
matplotlib.colors. ListedColormap ( colors, name='from_list', N=None )
Colormap object generated from a list of colors.
This may be most useful when indexing directly into a colormap, but it can also be used to generate special colormaps for ordinary mapping.
Make a colormap from a list of colors.
- colors:
- a list of matplotlib color specifications, or an equivalent Nx3 or Nx4 floating point array ( N rgb or rgba values) name:
- a string to identify the colormap N:
-
the number of entries in the map. The default is None, in which case there is one colormap entry for each element in the list of colors. If:
N < len(colors)
the list will be truncated at N. If:
N > len(colors)
the list will be extended by repetition.
- class
-
Colormap objects based on lookup tables using linear segments.
The lookup table is generated using linear interpolation for each primary color, with the 0-1 domain divided into any number of segments.
Create color map from linear mapping segments
segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional.
Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use:
cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]}
Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]:
row i: x y0 y1 / / row i+1: x y0 y1
Hence y0 in the first row and y1 in the last row are never used.
-
Reference:
-
http://encycolorpedia.cn/77caca
-
http://matplotlib.org/api/_as_gen/matplotlib.colors.LinearSegmentedColormap.html#matplotlib.colors.LinearSegmentedColormap
-
-
matplotlib.colors. LinearSegmentedColormap ( name, segmentdata, N=256, gamma=1.0 )