[Matplotlib-users] Displaying raster colormap in a colorbar

Nathan Goldbaum nathan12343 at gmail.com
Fri Aug 3 16:46:23 EDT 2018

Sorry I don’t quite understand this question.

Is there any chance you can make a concrete minimal, runnavle example using
fake data that delonstrates the issue?

On Fri, Aug 3, 2018 at 3:44 PM Matthew Bradley <mbatr27 at gmail.com> wrote:

> All:
> 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[1].get_images()[0]
> cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2])
> 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!
> --
> Matthew Bradley
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> Matplotlib-users at python.org
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