Non-linear axes for imshow in matplotlib

Actually, it works fine. I'm confused.

Previously I was getting errors about "Images are not supported on non-linear axes" which is why I asked this question. But now when I try it, it works:

import matplotlib.pyplot as plt
import numpy as np

x = np.logspace(1, 3, 5)
y = np.linspace(0, 2, 3)
z = np.linspace(0, 1, 4)
Z = np.vstack((z, z))

plt.imshow(Z, extent=[10, 1000, 0, 1], cmap='gray')
plt.xscale('log')

plt.axvline(100, color='red')

plt.show()

This is better than pcolor() and pcolormesh() because

1. it's not insanely slow and
2. is interpolated nicely without misleading artifacts when the image is not shown at native resolution.

In my view, it is better to use pcolor and regular (non-converted) x and y values. pcolor gives you more flexibility and regular x and y axis are less confusing.

import pylab as plt
import numpy as np
from matplotlib.colors import LogNorm
from matplotlib.ticker import LogFormatterMathtext

x=np.logspace(1, 3, 6)
y=np.logspace(0, 2,3)
X,Y=np.meshgrid(x,y)
z = np.logspace(np.log10(10), np.log10(1000), 5)
Z=np.vstack((z,z))

im = plt.pcolor(X,Y,Z, cmap='gray', norm=LogNorm())
plt.axvline(100, color='red')

plt.xscale('log')
plt.yscale('log')

plt.colorbar(im, orientation='horizontal',format=LogFormatterMathtext())
plt.show()

As pcolor is slow, a faster solution is to use pcolormesh instead.

im = plt.pcolormesh(X,Y,Z, cmap='gray', norm=LogNorm())