matplotlib-devel Mailing List for matplotlib

Thanks for pointing this out. It is now fixed (and I added your example 
as a regression test).
Mike
On 08/01/2010 10:49 PM, Jae-Joon Lee wrote:
> Michael,
>
> In your commit 8585, you added an extra apply_translation command in
> the make_image function (line 594 of image.py, note that there is
> another one at line 599).
>
> Currently, imshow command places image in wrong place (except when
> interpolation is nearest ) and I think this is because of the extra
> translation.
>
> Tor reproduce the problem,
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> arr = np.arange(100).reshape((10, 10))
> plt.imshow(arr, interpolation="bilinear", extent=(1,2,1,2))
> plt.xlim(0,3)
> plt.ylim(0,3)
> plt.show()
>
> The image are not at what it meant to be.
>
> Removing one of the translation solves the problem. And I guess that
> line is there by mistake?
> Can you check this and commit the fix if possible.
>
> Regards,
>
> -JJ
>
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-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

Michael,
In your commit 8585, you added an extra apply_translation command in
the make_image function (line 594 of image.py, note that there is
another one at line 599).
Currently, imshow command places image in wrong place (except when
interpolation is nearest ) and I think this is because of the extra
translation.
Tor reproduce the problem,
import numpy as np
import matplotlib.pyplot as plt
arr = np.arange(100).reshape((10, 10))
plt.imshow(arr, interpolation="bilinear", extent=(1,2,1,2))
plt.xlim(0,3)
plt.ylim(0,3)
plt.show()
The image are not at what it meant to be.
Removing one of the translation solves the problem. And I guess that
line is there by mistake?
Can you check this and commit the fix if possible.
Regards,
-JJ