I have a raster that I want to add a colorbar to, and I've tried playing
around with a few things, both giving the axes image a name and then
calling it in the colorbar function i.e:
cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio)
cbar = fig.colorbar(cax, orientation='horizontal')
and after the image is plotted like so:
cax = ax.get_images()
cbar = fig.colorbar(cax, orientation='horizontal', cax=ax)
In either case it produces a PCyGY colormap instead of the diverging
RGBlack color scheme. How can I replicate the correct color map in the
color bar? Both of these methods appear to work for 2-D array.
the sorted raster is an array of shape [861, 138, 3].
Thanks in advance for any help!
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