xarray.DataArray.interp_like

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

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

Parameters
otherDataset 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.

Returns
interpolated: xr.DataArray

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

Notes

scipy is required. If the dataarray has object-type coordinates, reindex is used for these coordinates instead of the interpolation.