wradlib.ipol.griddata#
- wradlib.ipol.griddata(cartgrid, values, newgrid, **kwargs)[source]#
Interpolate array
valuesdefined by cartesian coordinate arraycartgridto new coordinates defined bynewgridusing nearest neighbour, linear or cubic interpolationSlow for large arrays
Keyword arguments are fed to
scipy.interpolate.griddata- Parameters:
cartgrid (
numpy.ndarray) – 3-dimensional array (nx, ny, lon/lat) of floats;values (
numpy.ndarray) – 2-dimensional array (nx, ny) of data valuesnewgrid (
numpy.ndarray) – Nx2-dimensional array (…, lon/lat) of floatskwargs (
scipy.interpolate.griddata)
- Returns:
interp (
numpy.ndarray) – array with interpolated values of size N