如何在matplotlib中重用图？

Question

我想在4个轴上绘制图形,在每个轴上绘制前三个单独的绘图,最后在最后一个轴上绘制所有3个绘图.这是代码:

from numpy import *
from matplotlib.pyplot import *
fig=figure()
data=arange(0,10,0.01)
ax1=fig.add_subplot(2,2,1)
ax2=fig.add_subplot(2,2,2)
ax3=fig.add_subplot(2,2,3)
ax4=fig.add_subplot(2,2,4)

line1=ax1.plot(data,data)
line2=ax2.plot(data, data**2/10, ls='--', color='green')
line3=ax3.plot(data, np.sin(data), color='red')
#could I somehow use previous plots, instead recreating them all?
line4=ax4.plot(data,data)
line4=ax4.plot(data, data**2/10, ls='--', color='green')
line4=ax4.plot(data, np.sin(data), color='red')
show()

结果图片是:

有没有办法首先定义图,然后将它们添加到轴,然后绘制它们？这是我心中的逻辑:

#this is just an example, implementation can be different
line1=plot(data, data)
line2=plot(data, data**2/10, ls='--', color='green')
line3=plot(data, np.sin(data), color='red')
line4=[line1, line2, line3]

现在在ax1上绘制line1,在ax2上绘制line2,在ax3上绘制line3,在ax4上绘制line4.

Answer 1

这是一种可能的解决方案.我不确定它是非常漂亮的,但至少它不需要代码重复.

import numpy as np, copy
import matplotlib.pyplot as plt, matplotlib.lines as ml

fig=plt.figure(1)
data=np.arange(0,10,0.01)
ax1=fig.add_subplot(2,2,1)
ax2=fig.add_subplot(2,2,2)
ax3=fig.add_subplot(2,2,3)
ax4=fig.add_subplot(2,2,4)

#create the lines
line1=ml.Line2D(data,data)
line2=ml.Line2D(data,data**2/10,ls='--',color='green')
line3=ml.Line2D(data,np.sin(data),color='red')
#add the copies of the lines to the first 3 panels
ax1.add_line(copy.copy(line1))
ax2.add_line(copy.copy(line2))
ax3.add_line(copy.copy(line3))

[ax4.add_line(_l) for _l in [line1,line2,line3]] # add 3 lines to the 4th panel

[_a.autoscale() for _a in [ax1,ax2,ax3,ax4]] # autoscale if needed
plt.draw()