pyinterp.bivariate#
- pyinterp.bivariate(grid2d: Grid2D, x: ndarray, y: ndarray, interpolator: str = 'bilinear', bounds_error: bool = False, num_threads: int = 0, **kwargs) ndarray [source]#
Interpolate the values provided on the defined bivariate function.
- Parameters:
grid2d – Function on a uniform 2-dimensional grid to be interpolated.
x – X-values.
y – Y-values.
interpolator – The method of interpolation to perform. Supported are
bilinear
,nearest
, andinverse_distance_weighting
. Default tobilinear
.bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y), a
ValueError
is raised. If False, then the value is set to NaN. Default toFalse
.num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
0
.p – The power to be used by the interpolator inverse_distance_weighting. Default to
2
.
- Returns:
Values interpolated.