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python中matplotlib的颜色及线条控制的示例

2021-01-22 00:38Purogram Python

这篇文章主要介绍了python中matplotlib的颜色及线条控制的示例,小编觉得挺不错的,现在分享给大家,也给大家做个参考。一起跟随小编过来看看吧

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:

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'-'  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:

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'.'  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

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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:

python中matplotlib的颜色及线条控制的示例

另外的显示方式:

python中matplotlib的颜色及线条控制的示例

另附上我简单的画折线图代码和图:

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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()

python中matplotlib的颜色及线条控制的示例

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服务器之家。

原文链接:http://blog.csdn.net/qq_26376175/article/details/67637151

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