pcolormesh plot is blank; pcolor plot works

I am experiencing strange behavior using mpl_toolkits.basemap.Basemap.
My understanding is that pcolormesh is faster than pcolor, and thus
preferable. Here is a minimal example (below) where I get a different
plot from pcolormesh than from pcolor.

On two systems (mac os x 10.9.5; Ubuntu 11.04 (GNU/Linux 2.6.32.28
x86_64); basemap 1.0.7 on the mac and 1.0.8 on the Ubuntu machine; both
using matplotlib 1.4.2) I get the expected grid of random colors from
pcolor, but a monochrome plot from pcolormesh.

Is this expected? Are there circumstances in which I should be using
pcolor instead of pcolormesh? Is this a bug in matplotlib or in
basemap?

import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np

def setup_map(ax):

    m = Basemap(width=8.0e6,
                height=6.5e6,
                projection='aeqd',
                lat_0=54,
                lon_0=-105,
                resolution='l',
                area_thresh=1000, 
                rsphere=6371007.181000,
                fix_aspect=True,
                ax=ax)
    m.drawcoastlines()
    m.drawcountries()
    m.drawstates()
    return(m)

# create pseudo-data with longitudes and latitudes
lon, lat = np.meshgrid(np.arange(-180, 180), 
                       np.arange(90, -90, -1))
data = np.random.rand(*lon.shape) * 100

# two-panel figure
fig, ax = plt.subplots(nrows=1, ncols=2)

# plot pseudodata in left panel using pcolormesh
m0 = setup_map(ax[0])
cm = m0.pcolormesh(lon, lat, data, latlon=True, 
              vmin=0.0, vmax=100.0, cmap=plt.cm.get_cmap("Blues"))
plt.colorbar(cm, ax=ax[0])
ax[0].set_title('pcolormesh')

# plot pseudodata in left panel using pcolor
m1 = setup_map(ax[1])
cm = m1.pcolor(lon, lat, data, latlon=True, 
          vmin=0.0, vmax=100.0, cmap=plt.cm.get_cmap("Blues"))
plt.colorbar(cm, ax=ax[1])
ax[1].set_title('pcolor')

plt.show()

Commencez par l’exemple Python minimal fourni et comparez Basemap.pcolormesh(..., latlon=True) à Basemap.pcolor(..., latlon=True) en utilisant la projection et les données indiquées. Déterminez si le résultat vide ou monochrome est attendu et si la modification nécessaire doit être apportée à Basemap ou à matplotlib ; le travail est considéré comme terminé lorsque le comportement est expliqué et qu’un correctif reproductible ou un diagnostic clair en amont est établi.