python画分布图代码示例：
# encoding=utf-8 import matplotlib.pyplot as plt from pylab import * # 支持中文 mpl.rcParams[\'font.sans-serif\'] = [\'SimHei\'] # \'mentioned0cluster\', names = [\'mentioned1cluster\',\'mentioned2cluster\', \'mentioned3cluster\', \'mentioned4cluster\', \'mentioned5cluster\', \'mentioned6cluster\', \'mentioned7cluster\', \'mentioned8cluster\', \'mentioned9cluster\', \'mentioned10cluster\'] x = range(len(names)) # y_0625 = [39266,56796,42996,24872,13849,8609,5331,1971,554,169,26] y_0626_1=[4793,100,0,0,0,0,0,0,0,0] # y_0626_2=[2622,203,0,0,0,0,0,0,0,0,0] # plt.plot(x, y, \'ro-\') # plt.plot(x, y1, \'bo-\') # pl.xlim(-1, 11) # 限定横轴的范围 # pl.ylim(-1, 110) # 限定纵轴的范围 plt.plot(x, y_0626_1, marker=\'o\', mec=\'r\', mfc=\'w\', label=\'HighRating:MentionedClusterNum Distribution\') # plt.plot(x, y_0626_2, marker=\'o\', mec=\'r\', mfc=\'w\', label=\'LowRating:MentionedClusterNum Distribution\') # plt.plot(x, y1, marker=\'*\', ms=10, label=u\'y=x^3曲线图\') plt.legend() # 让图例生效 plt.xticks(x, names, rotation=45) plt.margins(0) plt.subplots_adjust(bottom=0.15) # plt.xlabel(u\"time(s)邻居\") # X轴标签 plt.xlabel(\"clusters\") plt.ylabel(\"number of reviews\") # Y轴标签 plt.title(\"A simple plot\") # 标题 plt.show()
效果如下：
python画分布图的思路：
先在列表中定义分布图x、y轴的数值，然后使用plt.plot()方法即可将分布图绘制出来。
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