Can you post an simple self-contained script that reproduces your problem?
I just tried something similar but could not reproduces your problem.
Here is what I did,
Also, what version of matplotlb are you using?

Regards,

-JJ

import matplotlib.pyplot as plt
import numpy as np

from mpl_toolkits.axes_grid1 import ImageGrid

fig = plt.figure(1)

arr = np.arange(100).reshape((10, 10))

grid = ImageGrid(fig, 111, (2, 2))


cntr0 = grid[0].contour(arr)
cntr1 = grid[1].contour(arr)
cntr2 = grid[2].contour(arr)
cntr3 = grid[3].contour(arr)

plt.clabel(cntr0, manual=True)
plt.clabel(cntr1, manual=True)
plt.clabel(cntr2, manual=True)
plt.clabel(cntr3, manual=True)



On Thu, Aug 18, 2011 at 1:10 PM, R. O'Gara <ronog...@yahoo.com> wrote:
> Hey guys,
>
>
> I was hoping someone could provide a hint for how I should go about 
> correcting this. As you can see, locations for the inline labels for
> contours in this image are unfortunately chosen, and they overlap with one 
> another. If I set manual to 'True' then I get this weird behavior
> where I can only choose labels in the top left grid and nothing is shownin 
> any of the other grids.
>
> I am using a 2x2 Image Grid (I get the same problem when using gridspec 
> instead of image grid), and loadingcontour data (2x2 array) from a file.
>
> Thanks for your help,
> Ron
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