DataArray.reindex(self, indexers: Mapping[Hashable, Any] = None, method: str = None, tolerance=None, copy: bool = True, fill_value=<NA>, **indexers_kwargs: Any) → 'DataArray'

Conform this object onto the indexes of another object, filling in missing values with fill_value. The default fill value is NaN.

  • indexers (dict, optional) – Dictionary with keys given by dimension names and values given by arrays of coordinates tick labels. Any mis-matched coordinate values will be filled in with NaN, and any mis-matched dimension names will simply be ignored. One of indexers or indexers_kwargs must be provided.

  • copy (bool, optional) – If copy=True, data in the return value is always copied. If copy=False and reindexing is unnecessary, or can be performed with only slice operations, then the output may share memory with the input. In either case, a new xarray object is always returned.

  • method ({None, 'nearest', 'pad'/'ffill', 'backfill'/'bfill'}, optional) –

    Method to use for filling index values in indexers not found on this data array:

    • None (default): don’t fill gaps

    • pad / ffill: propagate last valid index value forward

    • backfill / bfill: propagate next valid index value backward

    • nearest: use nearest valid index value

  • tolerance (optional) – Maximum distance between original and new labels for inexact matches. The values of the index at the matching locations must satisfy the equation abs(index[indexer] - target) <= tolerance.

  • fill_value (scalar, optional) – Value to use for newly missing values

  • **indexers_kwarg ({dim: indexer, ..}, optional) – The keyword arguments form of indexers. One of indexers or indexers_kwargs must be provided.


reindexed – Another dataset array, with this array’s data but replaced coordinates.

Return type