[Matplotlib-users] Displaying raster colormap in a colorbar

[Bruno Pagani]

Le 03/08/2018 à 22:43, Matthew Bradley a écrit :
> 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

Viridis[0]?

> 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!

I don’t really know how to get a colorbar for RGB(A) arrays, but you
need to add something I guess. You’re currently getting the default
colormap and associated colorbar.

[0]: https://matplotlib.org/2.0.0/users/plotting/colormaps/lightness_00.png

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