pyinterp.bicubic

pyinterp.bicubic(mesh: Grid2D | Grid3D | Grid4D, x: ndarray, y: ndarray, z: ndarray | None = None, u: ndarray | None = None, nx: int = 3, ny: int = 3, fitting_model: str = 'bicubic', boundary: str = 'undef', bounds_error: bool = False, num_threads: int = 0) → ndarray[source]

Bicubic gridded interpolator.

Parameters:

  • mesh – Function on a uniform grid to be interpolated. If the grid is a grid in N-D space, the bicubic interpolation is performed spatially along the X and Y axes of the N-D grid and a linear interpolation are performed along the other axes between the values obtained by the bicubic interpolation.

  • x – X-values.

  • y – Y-values.

  • z – None for a 2D Grid otherwise Z-values.

  • u – None for a 2D Grid, 3D Grid otherwise U-values.

  • nx – The number of X-coordinate values required to perform the interpolation. Defaults to 3.

  • ny – The number of Y-coordinate values required to perform the interpolation. Defaults to 3.

  • fitting_model – Type of interpolation to be performed. Supported are linear, bicubic, polynomial, c_spline, c_spline_periodic, akima, akima_periodic and steffen. Default to bicubic.

  • boundary –

    A flag indicating how to handle boundaries of the frame.

    • expand: Expand the boundary as a constant.

    • wrap: circular boundary conditions.

    • sym: Symmetrical boundary conditions.

    • undef: Boundary violation is not defined.

    Default undef.

  • 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 to False.

  • 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.