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:
另外的显示方式:
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() |
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