[Scilab-users] Surface plotting without averaging?

[Frederic Jourdin]

Yes, for this reason I use Matplot in Scilab 5.3.
(and compute myself x and y axes)
Unfortunately Matplot in Scilab 5.4.0 does interpolate.
Fred


Le 11/12/2012 01:12, byronmillet a écrit :
> Hello,
>
> I am trying to produce plots representing the surface of a plane of glass
> from raw deflectometry data.
>
> I have successfully produced good plots for most of the data.
>
> However, now I am trying to produce a color-coded tolerance plot of each
> individual location on the plane.
>
> That is, I have code that determines whether or not a location failed
> tolerance criteria and creates a matrix of numbers representing 3 possible
> outcomes and sets the numerical value for that location to:
>       1 if the location failed tolerance
>       0 if it passed tolerance
>       -1 if the location did not contain valid data for the tolerance test.
>
> For previous plots I used the Sgrayplot command which worked quite well, but
> for this, the plot does not show the detail that I require.
> I also tried grayplot but it still does not show the precision I need.
>
>
> I know that the reason for this is due to how these plot routines determine
> the color for each square on the surface (taking the average of the data
> from each corner).
>
>
> However, I am looking for a way to plot each data point as a color coded
> point on the grid with the color determined only from each individual data
> point.
>
> There are just over 62000 locations on the plane that I have data for.
>
> Does anyone know of a way to produce a plot of this type using Scilab?
>
>
> Thanks,
>
> Byron
>
>
>
>
> --
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