Matplotlib 调整图像子图 hspace 和 wspace [英] Matplotlib adjust image subplots hspace and wspace

问题描述

我正在尝试在 3×3 网格上构建一个包含 9 个图像子图的图形，所有子图都共享 X 或 Y 轴，并且相邻子图之间没有空间.

以下代码添加所需的轴并折叠它们之间的空间.到目前为止，一切都很好:

fig, axes = plt.subplots(ncols=3, nrows=3, sharex=True, sharey=True)fig.subplots_adjust(hspace=0, wspace=0)

然而，在这些图中绘制图像会破坏一切，因为 imshow 改变了子图的纵横比:

img = np.arange(100).reshape(10, 10)对于axes.flat中的ax:ax.imshow(img)

(如果图像太宽，行之间会出现空格而不是列之间的空格

I’m trying to build a figure with 9 image subplots on a 3×3 grid, all sharing X or Y axes, and with no space between adjacent subplots.

The following code adds the required axis and collapses the space between them. So far, so good:

fig, axes = plt.subplots(ncols=3, nrows=3, sharex=True, sharey=True)
fig.subplots_adjust(hspace=0, wspace=0)

However, plotting images inside these plots breaks everything, because imshow changes the aspect ratio of the subplots:

img = np.arange(100).reshape(10, 10)
for ax in axes.flat:
    ax.imshow(img)

(If the image is too wide, you get spaces between rows instead of columns as shown on this figure.)

Question: how to make a figure containing image subplots with no space between adjacent axes, regardless of the aspect ratio of the images?

What can’t be an answer:

• Cropping the images
• Changing their aspect ratio (mandatory XKCD).

解决方案

You can specify the figure size so that it will have a different aspect ratio; in this case a square:

import numpy as np
from matplotlib import pyplot as plt    

fig, axes = plt.subplots(ncols=3, nrows=3, sharex=True, sharey=True, figsize=(5,5))
fig.subplots_adjust(hspace=0, wspace=0)

img = np.arange(100).reshape(10, 10)
for ax in axes.flat:
    ax.imshow(img)
plt.show()

It's not the most flexible solution, but it's a fairly straightforward solution.

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