Python基于Matplotlib庫簡單繪制折線圖的方法示例

2019-11-25 15:56:08

字體：大中小

來源：轉載

供稿：網(wǎng)友

本文實例講述了Python基于Matplotlib庫簡單繪制折線圖的方法。分享給大家供大家參考，具體如下：

Matplotlib畫折線圖，有一些離散點，想看看這些點的變動趨勢：

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()

離散點的走勢：