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中文源码网。