Dataset.interp(coords=None, method='linear', assume_sorted=False, kwargs={}, **coords_kwargs)

Multidimensional interpolation of Dataset.

coords : dict, optional

Mapping from dimension names to the new coordinates. New coordinate can be a scalar, array-like or DataArray. If DataArrays are passed as new coordates, their dimensions are used for the broadcasting.

method: string, optional.

{‘linear’, ‘nearest’} for multidimensional array, {‘linear’, ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’} for 1-dimensional array. ‘linear’ is used by default.

assume_sorted: boolean, optional

If False, values of coordinates that are interpolated over can be in any order and they are sorted first. If True, interpolated coordinates are assumed to be an array of monotonically increasing values.

kwargs: dictionary, optional

Additional keyword passed to scipy’s interpolator.

**coords_kwarg : {dim: coordinate, …}, optional

The keyword arguments form of coords. One of coords or coords_kwargs must be provided.

interpolated: xr.Dataset

New dataset on the new coordinates.

See also

scipy.interpolate.interp1d, scipy.interpolate.interpn


scipy is required.