I'm fed up with matplotlib in that it's so hard to plot images in specified size.

I've two images in 32*32, 20*20 sizes. I just want to plot them in its original size, or in proportion to its original size.

After reading quite a few posts at SO, the code I'm using now is

plt.autoscale(False)
plt.subplot(1, 2, 1); 
plt.imshow(img_blob[0, 0, :, :], cmap='gray',interpolation='nearest', extent=[0, 32, 0, 32])
plt.subplot(1, 2, 2); 
plt.imshow(output_blob[0, 0, :, :], cmap='gray',interpolation='nearest', extent=[0, 20, 0, 20])
plt.show()

But the two images are still displayed in the same size.

I've tried figsize

plt.subplot(1, 2, 2, figsize=(2.0, 2.0)); 

But apparently there's no figsize attribute.

Is it possible to make the two subplots in different size?

There is also an alternative to imshow you could use if the image proportions are very important ... there is something called figimage which displays a completely non-resampled image to your figure. Working with it is somewhat painstaking - it doesn't do much behind the scenes to make your life easier - but it can be useful for certain circumstances. Here is something using your example

import matplotlib.pyplot as plt
import numpy as npx = np.linspace(0,1,20)
z1 = x[:,np.newaxis] * x
y = np.linspace(0,1,32)
z2 = y[:,np.newaxis] * yfig = plt.figure(figsize=(2,1))
plt.figimage(z1, 25, 25, cmap='gray') # X, Y offsets are in pixels
plt.figimage(z2, 75, 25, cmap='gray')plt.show()