python中matplotlib的颜色及线条控制的示例

下次用python画图的时候选色选点都可以直接参考这边，牛逼！分享给大家，也给自己留个笔记。

参考网址：

http://stackoverflow.com/questions/22408237/named-colors-in-matplotlib

http://stackoverflow.com/questions/8409095/matplotlib-set-markers-for-individual-points-on-a-line

第二个参考网址给出了linestyle可选参数：

'-'  solid line style
'--'  dashed line style
'-.'  dash-dot line style
':'  dotted line style 

第二个参考网址给出了marker可选参数：

'.'  point marker
','  pixel marker
'o'  circle marker
'v'  triangle_down marker
'^'  triangle_up marker
'<'  triangle_left marker
'>'  triangle_right marker
'1'  tri_down marker
'2'  tri_up marker
'3'  tri_left marker
'4'  tri_right marker
's'  square marker
'p'  pentagon marker
'*'  star marker
'h'  hexagon1 marker
'H'  hexagon2 marker
'+'  plus marker
'x'  x marker
'D'  diamond marker
'd'  thin_diamond marker
'|'  vline marker
'_'  hline marker 

第一个参考网址给出了matplotlib中color可用的颜色：

cnames = {
'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'} 

上面对应的颜色：

另外的显示方式：

另附上我简单的画折线图代码和图：

import matplotlib.pyplot as plt 

if __name__ == '__main__':
  x = [20,50,100,150,200,300,400,600,1000]
  y1=[1,2,3,4,5,6,7,8,9]
  plt.figure(figsize=(8,4.9))
  plt.plot(x,y1,label = "$example$",color = 'r',marker = "+",linewidth=1)
  plt.xlabel("number")
  plt.ylabel("time")
  plt.title("-")
  plt.legend()
  plt.show() 

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持我们。

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