Hrm, it appears I can use a masked array to do this:
masked_array = np.ma.array (a, mask=np.isnan(a))
cmap = matplotlib.cm.jet
cmap.set_bad('white',1.)
ax.imshow(masked_array, interpolation='nearest', cmap=cmap)
This should suffice, though I’m still open to suggestions. :]