1.pyplot的所有颜色

  colors = ['#F0F8FF','#FAEBD7','#00FFFF','#7FFFD4','#F0FFFF','#F5F5DC','#FFE4C4','#000000','#FFEBCD','#0000FF','#8A2BE2','#A52A2A','#DEB887','#5F9EA0','#7FFF00','#D2691E','#FF7F50','#6495ED','#FFF8DC','#DC143C','#00FFFF','#00008B','#008B8B','#B8860B','#A9A9A9','#006400','#BDB76B','#8B008B','#556B2F','#FF8C00','#9932CC','#8B0000','#E9967A','#8FBC8F','#483D8B','#2F4F4F','#00CED1','#9400D3','#FF1493','#00BFFF','#696969','#1E90FF','#B22222','#FFFAF0','#228B22','#FF00FF','#DCDCDC','#F8F8FF','#FFD700','#DAA520','#808080','#008000','#ADFF2F','#F0FFF0','#FF69B4','#CD5C5C','#4B0082','#FFFFF0','#F0E68C','#E6E6FA','#FFF0F5','#7CFC00','#FFFACD','#ADD8E6','#F08080','#E0FFFF','#FAFAD2','#90EE90','#D3D3D3','#FFB6C1','#FFA07A','#20B2AA','#87CEFA','#778899','#B0C4DE','#FFFFE0','#00FF00','#32CD32','#FAF0E6','#FF00FF','#800000','#66CDAA','#0000CD','#BA55D3','#9370DB','#3CB371','#7B68EE','#00FA9A','#48D1CC','#C71585','#191970','#F5FFFA','#FFE4E1','#FFE4B5','#FFDEAD','#000080','#FDF5E6','#808000','#6B8E23','#FFA500','#FF4500','#DA70D6','#EEE8AA','#98FB98','#AFEEEE','#DB7093','#FFEFD5','#FFDAB9','#CD853F','#FFC0CB','#DDA0DD','#B0E0E6','#800080','#FF0000','#BC8F8F','#4169E1','#8B4513','#FA8072','#FAA460','#2E8B57','#FFF5EE','#A0522D','#C0C0C0','#87CEEB','#6A5ACD','#708090','#FFFAFA','#00FF7F','#4682B4','#D2B48C','#008080','#D8BFD8','#FF6347','#40E0D0','#EE82EE','#F5DEB3','#FFFFFF','#F5F5F5','#FFFF00','#9ACD32']

2.随机使用以上颜色

  indexs = random.sample(range(0,len(colors)),len(colors))for i in range(len(features)):path = OUTPUT_DIR + features[i] + "_NSGD.txt"if (os.path.isfile(path)):data = np.loadtxt(path,dtype=nptype)x = [j+2 for j in range(data.shape[0])]plt.scatter(x,data,s=8,marker='o',c=colors[indexs[i]],linewidths=0,label=features[i])plt.title('Normalized Symmetric Geometry Distance')plt.legend()plt.xlabel('x')plt.ylabel('y')plt.axis([0,400,0,0.7])plt.show()

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pyplot颜色大全

1.pyplot的所有颜色

2.随机使用以上颜色

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