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

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

>>>>>>>> 
>>>>>>> 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].
>>> 
>>> 
>> 
>> The following script works for me:
>> 
>> import numpy as np
>> import matplotlib.pyplot as plt
>> 
>> image = np.random.random((100,50))
>> 
>> fig = plt.figure()
>> ax = fig.add_subplot(1, 1, 1)
>> ax.imshow(image, extent=[0,100,0,50])
>> plt.show()
>> 
>> 
> 
> I think the problem is that Michael is using ImageGrid, and apparently
> it is not using the tight autoscaling that imshow normally uses by default.

I might have confused where I had the problem as I was trying out many 
a'things yesterday, so today I only can reproduce it with subplots. Can 
I activate tight autoscaling somehow? tight_layout only influences the 
axes towards each-other not the imshows itself.


> 
> Eric
> 
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