[Scilab-users] Native managed Hypermatrices affect the Matplot functionality?

[Samuel Gougeon]

Hello,

Le 11/03/2017 à 12:59, Tan Chin Luh a écrit :
> .../...
>
> 2.  To solve this in Scilab 5.5.2, we usually assign the data directly 
> into the Matplot children data. However, in Scilab 6, when we run:
>
> a  =  uint8(zeros(480,640,3));
> a(:,:,1)  =  uint8(255);
> a(:,:,2)  =  uint8(180);
> a(:,:,3)  =  uint8(60);
> Matplot(a);
> // View the image first before running following lines
> h  =  gcf();
> h.children.children.data  =  a;
>
> Even we assigned back the same variable, the orientation of the data 
> is wrong and the image is wrongly plot on the figure. The above 
> example will show orange color in the first plot, and after assigning 
> the same data back into the Matplot children data, the 3 layers are 
> arrange in wrong order resulting wrong display.
>

This is clearly a regression. Only the first layer is actually assigned, 
others being ignored:
e = gce();
size(e.data)
and(e.data==255)

--> e = gce();

--> size(e.data)
  ans  =
    480.   640.

--> and(e.data==255)
  ans  =
   T

You may post a report about it.

Best regards
Samuel

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