如何使Python图像“适合”这个数字？

Question

I have a matrix that is 500x5000 in size, and I am trying to visualize it via matplotlib. Simply, I have:

import matplotlib as plt
import numpy as np
mat = np.random.rand(500,5000)
plt.imshow(mat, interpolation='none')
plt.show()

The problem is that I get an image that is somewhat 'squeezed', as so:

I would just like to be able to make the image 'fit' the figure, so that I can inspect it better. Is there a way to do this in matplotlib?

Thanks.

Answer 1

If you'd like the image to adjust so that it fills up the available space, specify aspect='auto' to imshow . Note that the pixels will not be square!

For example:

import matplotlib.pyplot as plt
import numpy as np
mat = np.random.rand(500,5000)
plt.imshow(mat, interpolation='none', aspect='auto')
plt.show()

Just for comparison, the default behavior forces the pixels to be square, resulting is something more like this:

Answer 2

Use the set_aspect method on the current axes. In your case, the aspect ratio is about 1:10, so you could set it to 10 to get a square image:

import matplotlib.pyplot as plt
import numpy as np

mat = np.random.rand(500,5000)
plt.imshow(mat, interpolation='none')

plt.gca().set_aspect(10)
plt.show()