Darren Dale wrote:
> Hi Joel,
> 
> On Thursday 01 February 2007 11:09:11 am Joel Hedlund wrote:
>> I believe I've found a bug in matplotlib which manifests after
>> imshow(img, aspect='auto') when only a small portion of the image is
>> displayed, e.g: when (xmax-xmin) << img.shape[1]. The effect of the bug
>> is that the transparency for the entire image seems to vary, seemingly
>> as a periodic funtion of (xmax-xmin). Explicitly setting the alpha
>> channel for each pixel has no effect.
>>
>> The attached script generates a random image of a certain size, and
>> plots it in four different subplots. The only thing that differs between
>> the subplots are slight variations in x_max. The four subplots are labeled:
>>
>> 1) The background image is visible.
>> 2) The background image is not visible!
>> 3) The background image is faded!
>> 4) The background image is again visible!
>>
>> which reflects the actual result on my system. As the subplots are
>> scaled (for example by resizing the window), the intensity then varies
>> in a periodic manner in each of the subplots.
>>
>> The expected result is of course that the background should be fully
>> visible in all subplots.
> 
> I can verify this behavior, more or less. I observe that the figure.dpi rc 
> setting influences the results (I tried 86.23 and 200).

This sounds like the same bug that was noted a few months ago, in which 
  repeated zooming to a very small part of the image ends up washing out 
the color entirely.  I think that it was also connected with very slow 
rendering.

Eric

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