用Python 绘制分布（折线）图，使用的是 plot（）函数。

一个简单的例子：

# encoding=utf-8import matplotlib.pyplot as pltfrom 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()

结果：

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