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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