Here is a modification of http://matplotlib.org/examples/pylab_examples/multi_image.html. Does this do what you want?

#!/usr/bin/env python
'''
Make a set of contour plots with a single colormap and colorbar.
'''

import matplotlib.pyplot as plt
import numpy as np

from matplotlib.font_manager import FontProperties
from numpy.random import rand

cmap = plt.get_cmap('Blues')
clevs = np.arange(0, 4.001, 0.2)

Nr = 3
Nc = 2

fig = plt.figure()

figtitle = 'Multiple contour plots, same levels'
t = fig.text(0.5, 0.95, figtitle,
             horizontalalignment='center',
             fontproperties=FontProperties(size=16))

cax = fig.add_axes([0.2, 0.08, 0.6, 0.04])

w = 0.4
h = 0.22

contour_sets = []
for i in range(Nr):
    for j in range(Nc):
        pos = [0.075 + j*1.1*w, 0.18 + i*1.2*h, w, h]
        ax = fig.add_axes(pos)
        if i > 0:
            ax.set_xticklabels([])
        if j > 0:
            ax.set_yticklabels([])
        ax.locator_params(axis='y', nbins=5)
        # Make some fake data with a range that varies
        # somewhat from one plot to the next.
        data = i + j + rand(10, 20)
        cs = ax.contourf(data, levels=clevs, cmap=cmap)
        contour_sets.append(cs)

# The colorbar can be based on any of the mappables (the ContourSet
# objects) because they are all using the same levels and cmap.
fig.colorbar(contour_sets[0], cax, orientation='horizontal')

plt.show()

Uh oh!

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