scipy.interpolate.RegularGridInterpolator.__call__¶
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RegularGridInterpolator.
__call__
(xi, method=None, compute_gradients=True)[source]¶ Interpolation at coordinates
Parameters: xi : ndarray of shape (…, ndim)
The coordinates to sample the gridded data at
method : str, optional
The method of interpolation to perform. Supported are ‘nearest’, ‘linear’, ‘slinear’, ‘cubic’, and ‘quintic’. Default is None, which will use the method defined at the construction of the interpolation object instance.
computer_gradients : bool, optional
If a spline interpolation method is chosen, this determines whether gradient calculations should be made and cached. Default is True.