You need to use the 'imshow' function to display an image in greyscale. You
have to turn your image into an array of values and then put that array
into imshow with the colormap set to grey.
I don't know about how to do a plane fit...
On Wed, Feb 15, 2012 at 9:18 PM, <pythp...@root-1.de> wrote:
>
> Thanks Alexa and Jerzy.
>
> other questions? ... Here they are:
>
> - changing to an image grey scale only needs ... what?
>
> - I need to do a 'plane fit' of the image. Does matplotlib
> have some routine for this? Or shall I use other math libs?
>
> Thanks again.
>
>
> > Le 16/02/2012 02:20, Alexa Villaume a écrit :
> >> Try using 'xticks' and 'yticks', those commands let you define the
> >> location and label fo your tick marks.
> >>
> > This *alone* will not do, the image might be scaled badly. Add extent.
> >
> > Try this:
> >
> > fig = plt.figure()
> > frame = plt.subplot(111)
> > im=frame.imshow(data,extent=[0,3400,0,3400])
> > plt.xticks([0,3400]); plt.yticks([0,3400])
> > plt.xlabel('X (nm)')
> > plt.ylabel('Y (nm)')
> > plt.colorbar(im)
> >
> > plt.show()
> >
> > ==
> >
> > Jerzy Karczmarczuk
> > Caen, France
> >
> >
> >
>
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