Hi
Thank you very much, it worked perfectly :D
Kind regards
Pål
On 27 January 2012 15:29, Tony Yu <tsy...@gmail.com> wrote:
>
>
> On Fri, Jan 27, 2012 at 9:13 AM, Pål Gunnar Ellingsen <paa...@gmail.com>wrote:
>
>> Hi
>>
>> I have a array, M, which is (4Nx4M), and an array (image), im, which is
>> NxM.
>> I can currently plot the matrix as a 2d image using imshow using:
>>
>> import matplotlib.pyplot as plt
>> from matplotlib import cm
>>
>> # some code for reading in the matrix
>>
>> cmap = cm.get_cmap('jet', 256)
>> imM = plt.imshow(M, cmap=cmap, vmin= -1, vmax=1)
>>
>> But now i would like to plot im on top of M, such that it covers the firs
>> element of M.
>> If I do
>>
>> plt.hold()
>> plt.imshow(im)
>>
>> I only see im, and not M. I'm used to doing this in Matlab, where this
>> would work.
>>
>> Can anyone explain me what I'm doing wrong?
>>
>>
>> Kind Regards
>>
>
> A call to `plt.autoscale` should fix your problem. It looks like `imshow`
> rescales the axes limits to the current image limits, instead of the limits
> for all the data in the axes. (Executable example below; note, axes "hold"
> by default, so it's not necessary to call hold).
>
> -Tony
>
>
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> background = np.random.uniform(0, 255, size=(20, 20))
> overlay = np.arange(25).reshape((5, 5))
>
> plt.imshow(background, interpolation='nearest', cmap=plt.cm.gray)
> plt.imshow(overlay, cmap=plt.cm.jet, alpha=0.5)
> # You could also replace this with `plt.axis([0, 20, 0, 20])
> plt.autoscale()
> plt.show()
>
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