pyinterp.core.trivariate_float32#

pyinterp.core.trivariate_float32(*args, **kwargs)#

Overloaded function.

  1. trivariate_float32(grid: pyinterp.core.Grid3DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], z: numpy.ndarray[numpy.float64], interpolator: pyinterp.core.BivariateInterpolator3D, z_method: Optional[str] = None, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]

Interpolate the values provided on the defined trivariate function.

Parameters
  • grid – Grid containing the values to be interpolated.

  • x – X-values.

  • y – Y-values.

  • z – Z-values.

  • interpolator – 3D interpolator used to interpolate values on the surface (x, y, z).

  • z_method – The method of interpolation to perform on Z-axis. Supported are linear and nearest. Default to linear.

  • bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y,z), a ValueError is raised. If False, then value is set to NaN.

  • 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.

Returns

Values interpolated.

  1. trivariate_float32(grid: pyinterp.core.TemporalGrid3DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], z: numpy.ndarray[numpy.int64], interpolator: pyinterp.core.TemporalBivariateInterpolator3D, z_method: Optional[str] = None, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]

Interpolate the values provided on the defined trivariate function.

Parameters
  • grid – Grid containing the values to be interpolated.

  • x – X-values.

  • y – Y-values.

  • z – Z-values.

  • interpolator – 3D interpolator used to interpolate values on the surface (x, y, z).

  • z_method – The method of interpolation to perform on Z-axis. Supported are linear and nearest. Default to linear.

  • bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y,z), a ValueError is raised. If False, then value is set to NaN.

  • 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.

Returns

Values interpolated.