I've been working on a matplotlib embedded gtk app that updates an image
(made with imshow) with a colorbar and I've noticed that although I can
update the image with an image.set_data(new_array) that the colormapping
and colorbar don't change. Is this the intended behaviour? I guess it
makes perfect sense if the image doesn't change much.
I am using a figure.clear() and a completely new axes.imshow() each time
I redraw the plot.
I don't know if it something wanted but it's very useful for me. For example sometime to improve the contrast between two values, I plot the log of the image but I don't want the value of the colorbar in log but linear or another sample (problably not good but I didn't find any other way to do it), I want plot the data from yellow to red, I'm using the hot colormat to do it but I didn't find any way to do the opposite so I began by plotting the data with the normal value, I plot the colorbar and I plot another time the opposite of the data, after with gimp I turn the colorbar and my scale is ok.
It's bad and dirty but it's working. I didn't find any otther way to do it properly.
N.
Jon Fox wrote:
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I've been working on a matplotlib embedded gtk app that updates an image
(made with imshow) with a colorbar and I've noticed that although I can
update the image with an image.set_data(new_array) that the colormapping
and colorbar don't change. Is this the intended behaviour? I guess it
makes perfect sense if the image doesn't change much.
I am using a figure.clear() and a completely new axes.imshow() each time
I redraw the plot.