本文实例讲述了Python基于Matplotlib库简单绘制折线图的方法。分享给大家供大家参考，具体如下：
Matplotlib画折线图，有一些离散点，想看看这些点的变动趋势：
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import matplotlib.pyplot as pltx1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]y1=[30,31,31,32,33,35,35,40,47,62,99,186,480]x2 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]y2=[32,32,32,33,34,34,34,34,38,43,54,69,116,271]x3 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]y3=[30,31,31,32,33,35,35,40,47,62]x4 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]y4=[32,32,32,33,34,34,34,34,38,43]group_labels = ['64k', '128k','256k','512k','1024k','2048k','4096k','8M','16M','32M','64M','128M','256M','512M']plt.title('broadcast(b) vs join(r)')plt.xlabel('data size')plt.ylabel('time(s)')#plt.plot(x1, y1,'r', label='broadcast')#plt.plot(x2, y2,'b',label='join')#plt.xticks(x1, group_labels, rotation=0)plt.plot(x3, y3,'r', label='broadcast')plt.plot(x4, y4,'b',label='join')plt.xticks(x3, group_labels, rotation=0)plt.legend(bbox_to_anchor=[0.3, 1])plt.grid()plt.show() |
离散点的走势：
希望本文所述对大家Python程序设计有所帮助。
原文链接：http://blog.csdn.net/baolibin528/article/details/53165898
