Dataset.interp_like(other, method='linear', assume_sorted=False, kwargs={})

Interpolate this object onto the coordinates of another object, filling the out of range values with NaN.

other : Dataset or DataArray

Object with an ‘indexes’ attribute giving a mapping from dimension names to an 1d array-like, which provides coordinates upon which to index the variables in this dataset.

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.

interpolated: xr.Dataset

Another dataset by interpolating this dataset’s data along the coordinates of the other object.