在子图环境中使用时，matplotlib.pyplot.imshow的边距 [英] Margins of matplotlib.pyplot.imshow when used in subplot environment

问题描述

我正在尝试使用 imshow 在图形的不同图中绘制多个数组的值.

I am trying to plot the values of several arrays in separate plots of a figure using imshow.

当我只绘制一张图像，并使用具有正确范围的 plt.imshow() 命令时，该图完美呈现.但是，当我尝试使用plt.subplot()在同一幅图中创建该图像的多个图时，这些图中的每一个都以不正确的x轴设置结尾，并且有白色边距.我尝试使用 set_xlim() 命令更正 x 轴范围，但没有效果(我也不明白).

When I plot one image only, and use the plt.imshow() command with the correct extents, the figure comes out perfectly. However, when I try to create multiple plots of this image in the same figure, using plt.subplot(), each of these plots ends up with incorrect x-axis settings, and there are white margins. I tried correcting the x-axis range with the set_xlim() command, but it has no effect (which I also don't understand).

下面是最小的工作示例-我们将不胜感激！

The minimal working sample is below - any help would be appreciated!

from matplotlib import pyplot as plt
import numpy as n

image = n.array([[ 1.,  2.,  2.,  5.],
   [ 1.,  0.,  0.,  3.],
   [ 1.,  2.,  0.,  2.],
   [ 4.,  2.,  3.,  2.]])
xextent, yextent= n.shape(image)

fig, ax = plt.subplots(2,sharex=True, sharey=True)
im0 = ax[0].imshow(image, extent=(0,xextent,yextent,0),interpolation='nearest');
ax[0].set_xlim([0,4])
im1 = ax[1].imshow(image, extent=(0,xextent,yextent,0),interpolation='nearest');
ax[1].set_xlim([0,4])

plt.show()

推荐答案

所以选项是:

1. 删除 sharex / sharey 关键字-似乎与子图环境中的imshow冲突.(由 xnx 推荐)

1. Remove the sharex/sharey keywords - seems to clash with imshow in the subplot environment. (Suggested by xnx)

结合适当的设置使用 plt.subplots_adjust 和 plt.gcf().tight_layout()组合(由mwormser )

Use plt.subplots_adjust with appropriate settings, in combination with plt.gcf().tight_layout() (Suggested by mwormser)

在子图环境中使用 pcolormesh 而不是 imshow.

Use pcolormesh instead of imshow in the subplot environment.

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