[Matplotlib-users] Displaying raster colormap in a colorbar

[Matthew Bradley]

I'll work on it, thanks for the prompt response!

On Fri, Aug 3, 2018 at 2:46 PM, Nathan Goldbaum <nathan12343 at gmail.com>
wrote:

> 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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>>
>


-- 
Matthew Bradley
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