plankton wrote:
> Greetings all,
>
> I rotate a vector field and than I tried to interpolate it to a new grid
> using griddata.
>
> CODE:
>
> x_grid_unique = unique(x_grid)
> y_grid_unique = unique(y_grid)
> x_meshgrid, y_meshgrid = meshgrid(x_grid_unique, y_grid_unique)
> x_rot_meshgrid = reshape(x_rot, [ len(x_meshgrid[:, 0]),
> len(x_meshgrid[0, :])] )
> y_rot_meshgrid = reshape(y_rot, [ len(x_meshgrid[:, 0]),
> len(x_meshgrid[0, :])] )
> u_rot_meshgrid = reshape(u_rot, [ len(x_meshgrid[:, 0]),
> len(x_meshgrid[0, :])] )
> v_rot_meshgrid = reshape(v_rot, [ len(x_meshgrid[:, 0]),
> len(x_meshgrid[0, :])] )
> u_interpolate = griddata(x_rot, y_rot, u_rot, x_rot_meshgrid,
> y_rot_meshgrid)
> v_interpolate = griddata(x_rot, y_rot, v_rot, x_rot_meshgrid,
> y_rot_meshgrid)
>
>
>
> I unfortunately griddata returns some nan (It seems that there are multiple
> occurrences of the same [X,Y] pair in the data). In matlab you can use
> griddata with additional options e.g. ru =
> griddata(nx,ny,nu,rx,ry,'linear', {'QJ'}) to fix this, but this seems to be
> not possible using the griddata function in matplotlib. Is there any other
> way to avoid a return of nan?
>
> For any help many thanks in advance
>
> Andreas
>
>
>
>
Andreas: Can you provide a standalone script that I can run which
demonstrates the problem? Otherwise, it's hard to know what's going on.
-Jeff
--
Jeffrey S. Whitaker Phone : (303)497-6313
Meteorologist FAX : (303)497-6449
NOAA/OAR/PSD R/PSD1 Email : jeffrey.s.whita...@noaa.gov
325 Broadway Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
------------------------------------------------------------------------------
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
