I upgraded to matplotlib 1.5.0 and ran into a potential bug involving colorbars, subplots and saving to .eps for which the only workaround I found was to downgrade back to 1.4.3 where the problem doesn't exist.

Essentially, the .eps output gets corrupted when multiple subplots in a row array (e.g. 1x2) have colorbars added to them. This results in a blank canvas on the main plots of all heatmaps but the first one in the .eps output, whereas the .pdf output works as intended.

A minimal working example:

import matplotlib.pyplot as plt
import numpy as np

data = np.random.rand(100,100)

fig, ax = plt.subplots(1,2)
p1 = ax[0].pcolormesh(data)
p2 = ax[1].pcolormesh(data)

plt.colorbar(p1,ax=ax[0])
plt.colorbar(p2,ax=ax[1])

fig.savefig('test.pdf')
fig.savefig('test.eps')

These are the outputs (converted to .png, the top line in the .eps output in the second subplot is just an artefact from converting to .png):

.pdf:

.eps:

The problem persists when replacing pcolormesh with pcolor or imshow, using cax for colorbar axis instead of ax, changing colormaps, using row arrays of more subplots (for 1xn the last n-1 subplots have empty canvas), using gridspec to define subplots. The only thing that resolved this was to downgrade back to 1.4.3.