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].
> 
> 
> 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:

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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