Antony Lee <antony....@...> writes: > I'm trying to plot a grayscale (nonzero) array as an image -- so it's basically plt.imshow(array). However, this pops up (after plt.show()) a completely black image. It happens that this array has dtype=int16, and imshow's doc says that it only accepts float arrays, though I'm pretty sure it does some conversion to allow int32s (at least, as I've used them before). So I tried plt.imshow (asarray (array, dtype=np.dtype(np.int32))), and it worked (the image showed up). With asfarray(array), it worked too. Now, the weirdest part was that though np.abs (array) or abs(array) (the builtin abs) still have dtype int16, they can be plotted successfully with plt.imshow too! > So I must say I'm not really sure of what's failing here... has anyone encountered this bug before?
The following works for me with IPython 0.10 in -pylab mode with Python 2.6.4 on Windows XP. Unfortunately, I'm not sure what the default graphics backend is. # pylab mode automatically imports imshow() import numpy as np a = np.eye(4, dtype=np.int16) imshow(a) # red blurred squares on blue background imshow(a, interpolation="nearest") # sharp squares Could you please give a simple, self-contained, reproducible code example that produces your problem? Hope this helps, Jon Olav ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
