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.

  • grid3d (pyinterp.grid.Grid3D) – Function on a uniform 3-dimensional grid to be interpolated.

  • x (numpy.ndarray) – X-values.

  • y (numpy.ndarray) – Y-values.

  • z (numpy.ndarray) – Z-values.

  • interpolator (str, optional) – The interpolation method to be performed on the surface defined by the Y and Y axes. Supported are bilinear and nearest, and inverse_distance_weighting. Default to bilinear.

  • z_method (str, optional) – The interpolation method to be performed on the Z axis. Supported are linear``and ``nearest. Default to linear.

  • bounds_error (bool, optional) – 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 to False.

  • num_threads (int, optional) – 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 (int, optional) – The power to be used by the interpolator inverse_distance_weighting. Default to 2.


Values interpolated.

Return type