Matplotlib 使用 for 循环显示多个图像 [英] Matplotlib show multiple images with for loop

问题描述

我想在Matplotlib中显示多个图形.这是我的代码:

I want to display multiple figure in Matplotlib. Here's my code:

for i in range(8): 
    a = sitk.ReadImage("000%d.IMA"%(i+1))
    ...

    plt.figure(i+1)
    plt.imshow(a_np,cmap=plt.cm.gray)

但是，在此过程中将显示Figure(1)到Figure(7)，但最后只有Figure(8)保留.如何同时查看所有数字?当我将环境更改为spyder时，我的环境是Ipython笔记本，这使我感到困惑.

However, figure(1) to figure(7) will show during the process but only figure(8) stay in the end. How can I see all of the figures at the same time? It confused me that my environment is Ipython notebook when I change the environment to spyder the result will be correct.

推荐答案

如果你想在 8 个不同的窗口中显示 8 个不同的图形，这里有一个可行的例子:

If you want 8 different figures in 8 different windows, here is an example that will work:

import matplotlib.pyplot as plt 
import numpy as np 

x = np.linspace(0,10)
y = np.sin(x)

for i in range(8):
    plt.plot(x,y)
    plt.figure(i+1)

plt.show()

这将使用 x vs y 绘制 8 个不同的窗口，并且所有窗口将保持活动"状态，直到您关闭它们.

This will plot 8 different windows with x vs y and all the windows will stay "alive" until you close them.

确保在 for 循环之外调用 plt.show()

Make sure you call plt.show() outside the for loop

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