Thanks Eric and JJ,

Both of your answers are solutions to my problem actually.
I spent a while trying to figure this out and didn't get anywhere.
This was an exercise in frustration with matplotlib's documentation.
Thankfully this list and its members are here to save us. I assumed it
was just a simple flag or option I had missed and this turned out to
be the case. I had even tried setting aspect=False when creating my
AxesGrid object and setting aspect="auto", but because I was poking
around in the dark, I must not have set both at the same time. I also
thought I'd seen an example of this somewhere, which is what Eric
pointed out, but even thinking I'd seen it, I couldn't find it again.
I had looked in the gallery but missed the example - looking back at
the gallery now, I think it might be because every other related
example uses the jet colour scheme and it simply didn't register.

regards,
Gary

On Sat, Aug 20, 2011 at 6:49 PM, Jae-Joon Lee <lee.j.j...@gmail.com> wrote:
> If you want aspect="auto", this must also be set when you create ImageGrid.
> A simple example is attached.
> If you want a fixed aspect other than 1, it is doable but gets a bit
> tricky. Let me know if this is what you want.
>
> Regards,
>
> -JJ
>
>
>
> from mpl_toolkits.axes_grid1 import ImageGrid
>
> fig = plt.figure(1)
>
> grid = ImageGrid(fig, 111, (2, 1),
>                 aspect=False,
>                 label_mode='L', cbar_mode="single",
>                 )
>
> arr = np.arange(100).reshape((10, 10))
> im1 = grid[0].imshow(arr, aspect="auto")
> im2 = grid[1].imshow(arr, aspect="auto")
>
> grid[0].cax.colorbar(im1)
>
>
>
>
> On Sat, Aug 20, 2011 at 2:43 PM, gru...@bigpond.net.au
> <gru...@bigpond.net.au> wrote:
>> Usually imshow(arr, aspect='auto') or imshow(arr, aspect=2.0) will
>> display the image with pixels having some aspect ratio other than 1:1
>> However, I cannot get this to work when using imshow within an AxesGrid axis.
>> Is there a way to get an array shown with imshow() within an AxesGrid
>> axis to have a pixel aspect other than 1:1 ?
>> If not, is there a simple way to add a shared colorbar when using subplots() 
>> ?
>>
>> Gary
>>
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