用Python 繪制分布（折線）圖，使用的是 plot（）函數。
一個簡單的例子：
# 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) # 限定橫軸的范圍 # pl.ylim(-1, 110) # 限定縱軸的范圍 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曲線圖') plt.legend() # 讓圖例生效 plt.xticks(x, names, rotation=45) plt.margins(0) plt.subplots_adjust(bottom=0.15) # plt.xlabel(u"time(s)鄰居") # X軸標簽 plt.xlabel("clusters") plt.ylabel("number of reviews") # Y軸標簽 plt.title("A simple plot") # 標題 plt.show()
結果：
