# imlim in ax.imshow

How nice of you to ask!
Indeed: I had the case that image arrays inside an ImageGrid where

shown with some white overhead area around, e.g. for an image of 100
pixels on the x-axis, the imshow resulted in an x-axis that went from
-10 to 110. I was looking for a simple way to suppress that behavior
and let imshow instead use the exact image extent. I believe that the
plot command has such a flag, hasn't it? (I.e. to use the exact xdata
range and not try to beautify the plot?

Michael

Is the 'extent' keyword what you're looking for?

No, because it needs detail. I was looking for a boolean switch that

basically says: Respect the data, not beauty.

I don't understand what you mean by 'beauty'. If your image is 100
pixels wide and 50 pixels tall, what is it about extent=[0,100,0,50]
that doesn't do what you want?

As I wrote, that's not what is happening. I get extent=[-10,110,0,50].

Which version of matplotlib are you using? Also, are you on a 32-bit
machine or a 64-bit machine. This might be related to a bug we have
seen recently.

I am using mpl 1.1.0 from EPD 7.3-2 on a 64-bit Mac OSX.

Thanks for the effort Damon. I should have been starting with an
example script from the beginning.
I believe the problem appears only for subplots in the case of sharex
=sharey = True:

Aha! This is a real bug. It may take a bit of work to track it down.
Would you enter it, with this test script, as a github issue, please?

Cheers,
Michael

Â·Â·Â·

On 2012-10-02 20:09:34 +0000, Eric Firing said:

On 2012/10/02 9:21 AM, Michael Aye wrote:

Thank you.

Eric

from matplotlib.pyplot import show, subplots
from numpy import arange, array

arr = arange(10000).reshape(100,100)
l = [arr,arr,arr,arr]
narr = array(l)

fig, axes = subplots(2,2,sharex=True,sharey=True)

for ax,im in zip(axes.flatten(),narr):
ax.imshow(im)

show()

One can see that all the 4 axes show the array with an extent of
[-10,110, 0, 100] here.

Michael

Ben Root

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