在Jupyter-Notebook中使用循环的图像网格.如何? [英] Grid of images using a loop in Jupyter-Notebook. How?

问题描述

我想在Jupyter Notebook中以2x3矩阵格式显示图像var_1.png,...,var_40.png. 但是，我只能手动完成此操作:

I want to show images var_1.png,...,var_40.png in a 2x3 matrix format inside a Jupyter Notebook. However, I only manage to do it manually:

import matplotlib.pyplot as plt
import matplotlib.image as mpimg

%matplotlib inline

img1=mpimg.imread('Variable_8.png')
img2=mpimg.imread('Variable_17.png')
img3=mpimg.imread('Variable_18.png')
          ...

fig, ((ax1, ax2, ax3), (ax4,ax5,ax6)) = plt.subplots(2, 3, sharex=True, sharey=True) 

ax1.imshow(img1)
ax1.axis('off')
ax2.imshow(img2)
ax2.axis('off')
   ....

我想要更清洁的东西.类似于列表理解的内容，它指定

I want something cleaner. Something like a list comprehension that specifies

image=[img(i)=mpimg.imread('Variable_(i).png') for i in [8,17,28, ..]

[ax[j].imshow(img(j)),ax[j].axis('off') for j in range(len(image))]

有帮助吗?

推荐答案

如果列表理解要做的事情不止一件事，它们很快就会变得不可读.如果列表的内容根本没有实际使用，则使用列表推导似乎也被认为是不好的风格.

List comprehensions quickly become unreadable if there is more than one thing they do. Also it appears it is considered bad style to use list comprehensions if the content of the list is not actually used at all.

因此，我提出以下建议

import matplotlib.pyplot as plt

images = [plt.imread(f"Variable_{i}.png") for i in [8,17,28,29,31,35]]

fig, axes = plt.subplots(2, 3, sharex=True, sharey=True) 

for img, ax in zip(images, axes.flat):
    ax.imshow(img)
    ax.axis('off')

这篇关于在Jupyter-Notebook中使用循环的图像网格.如何?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！