Draw two lines by specifying aplt.plot()function for each line: importmatplotlib.pyplotasplt importnumpyasnp y1 = np.array([3,8,1,10]) y2 = np.array([6,2,7,11]) plt.plot(y1) plt.plot(y2) plt.show() Result: Try it Yourself » ...
plt.plot(x,y1,color="red",linewidth=5.0,linestyle="--")#draw two lines in figure"fucking name" plt.show 3.改变坐标轴的形式 并画图例( upperleft upper right lower right/left best 都是地址) plt.plot(x,y2,label="up")#draw the second figure plt.plot(x,y1,color="red",linewidth=5.0,...
4)) ax1 = fig.add_subplot(121) ax2 = fig.add_subplot(122) ax1.hlines(0, ...
(- 2.5 * width, 2.5 * width) # use ConnectionPatch to draw lines between the two plots theta1, theta2 = wedges[0].theta1, wedges[0].theta2 center, r = wedges[0].center, wedges[0].r bar_height = sum(age_ratios) # draw top connecting line x = r * np.cos(np.pi / 180 *...
[line3,line4],loc='upper right',title='Other Functions - how2matplotlib.com')# 将第一个图例添加到轴ax.add_artist(legend1)# 添加标题和轴标签ax.set_title('Multiple Functions with Two Legends - how2matplotlib.com')ax.set_xlabel('X-axis - how2matplotlib.com')ax.set_ylab...
for line in ax.xaxis.get_minorticklines(): line.set_visible(False) ax.grid(True) plt.show() 最终图像形式如下: 当然最合理的方式是采用注释的形式,比如: 代码如下: # -*- coding: utf-8 -*-importmatplotlib.pyplotaspltimportnumpyasnp# Plot a sinc functiondelta=2.0x=np.linspace(-10,10,100...
labels = ax.set_xticklabels(['one','two','three','four','five'], rotation=30, fontsize='small') ax.set_title('some random lines') ax.set_xlabel('Stages') <matplotlib.text.Textat0x28e782525c0> 1 2 ### Adding legends fig...
import matplotlib.pyplot as plt from drawarrow import fig_arrow fig, ax = plt.subplots() fig_arrow( tail_position=[0.3, 0.3], head_position=[0.8, 0.8] ) plt.show() More about the fig_arrow() function. ✨ Cheatsheets It's pretty hard to remember all the matplotlib associated vocabula...
matplotlib的对象体系也是计算机图形学的一个优秀范例。即使你不是Python程序员，你也可以从文中了解一些...
* x1) * np.exp(-x1)y2 = np.cos(2 * np.pi * x2)ax1.patch.set_facecolor("green")ax1.grid(True)line1 = ax1.plot(x1, y1, 'yo-', label="Test1")print type(line1)print line1line2 = ax2.plot(x2, y2, 'r.-', label='Test2')---<type 'list'>[<matplotlib.lines.Line...