pyinterp.trivariate#
- pyinterp.trivariate(grid3d: pyinterp.grid.Grid3D, x: numpy.ndarray, y: numpy.ndarray, z: numpy.ndarray, interpolator: str = 'bilinear', z_method: str = 'linear', bounds_error: bool = False, num_threads: int = 0, **kwargs) numpy.ndarray [source]#
Interpolate the values provided on the defined trivariate function.
- Parameters
grid3d – Function on a uniform 3-dimensional grid to be interpolated.
x – X-values.
y – Y-values.
z – Z-values.
interpolator – The interpolation method to be performed on the surface defined by the Y and Y axes. Supported are
bilinear
andnearest
, andinverse_distance_weighting
. Default tobilinear
.z_method – The interpolation method to be performed on the Z axis. Supported are
linear
andnearest
. Default tolinear
.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.