Try using 'xticks' and 'yticks', those commands let you define the location
and label fo your tick marks.
Example -
xticks( arange(5), ('0', '100', '200', '300', '400') )
Where the argument in arange is the number of tick labels you're making
On Wed, Feb 15, 2012 at 10:56 AM, <pythp...@root-1.de> wrote:
> Hello,
>
> I don't know if I can ask questions concerning matplotlib problems
> in this email list ... just let me know that this is not the right
> place, if.
>
> I have an image, which I can read and put into a figure. The image
> has axis and I can even save the image. I have two issues:
>
> 1. Since it is an 512 x 512 pixel image, the x and y axis labels
> go from 0 to 500. However, I don't want these labels, I want to
> change them to, e.g., 0 .. 3400 and 0 .. 3400. How can I do this?
>
> 2. I tried to attach a color bar to the right of the image but without
> success. Have you a hint?
>
> The code can be found below, it is a rather simple one.
>
> Thanks in advance for any help.
>
> Pythphys.
>
>
> *****************************************************************
>
> import scipy
> import matplotlib.pyplot as plt
> import matplotlib.image as mpimg
> import numpy as np
>
> file_path = "path_to_file"
>
> # The binary file is read
> data = scipy.fromfile(file=file_path,dtype=scipy.int16)
> data = data.byteswap()
> # The file has 512 x 512 pixel
> data.shape = 512, 512
>
> # The following code works fine. However, I still need:
> #
> # - Color bar (plt.color() does not work)
> # - The x and y labels are 0 ... 500 and 0 ... 500 <= I want to change
> these labels. How.
>
>
> fig = plt.figure()
> frame = plt.subplot(111)
> frame.imshow(data)
> frame.axis()
> plt.xlabel('X (nm)')
> plt.ylabel('Y (nm)')
> plt.savefig("image")
>
>
> ------------------------------------------------------------------------------
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> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
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Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
also focuses on allowing computing to be delivered as a service.
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