On 2015/05/21 11:28 AM, Matteo Niccoli wrote:
> OK, I understand.
>
>
> Could you suggest a way to reduce that 3D array to a 2D array and plot it
> with a specific colormap, while preserving the shading?
It looks like you will get what you want by following the titusjan's
advice in his reply. If you are not seeing a shaded version of
cubehelix, then the only thing I can imagine is that you inadvertently
omitted the second line in his example:
img_array = plt.get_cmap('cubehelix')(data_n)
This is doing the colormapping at the start, generating the 3D array
that you modify to apply your shading algorithm.
Eric
------------------------------------------------------------------------------
One dashboard for servers and applications across Physical-Virtual-Cloud
Widest out-of-the-box monitoring support with 50+ applications
Performance metrics, stats and reports that give you Actionable Insights
Deep dive visibility with transaction tracing using APM Insight.
http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
