Re: [Matplotlib-users] imlim in ax.imshow

[Michael A. <kmi...@gm...>]

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

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

Done.
https://github.com/matplotlib/matplotlib/issues/1325

Cheers,
Michael

> 
> 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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>> 
>> 
>> 
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> 
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