Method reindex

xarray/core/dataset.py:3493–3707

Conform this object onto a new set of indexes, filling in missing values with ``fill_value``. The default fill value is NaN. Parameters ---------- indexers : dict, optional Dictionary with keys given by dimension names and values given by arra

(
        self,
        indexers: Mapping[Any, Any] | None = None,
        method: ReindexMethodOptions = None,
        tolerance: float | Iterable[float] | str | None = None,
        copy: bool = True,
        fill_value: Any = xrdtypes.NA,
        **indexers_kwargs: Any,
    )

        )

    def reindex(
        self,
        indexers: Mapping[Any, Any] | None = None,
        method: ReindexMethodOptions = None,
        tolerance: float | Iterable[float] | str | None = None,
        copy: bool = True,
        fill_value: Any = xrdtypes.NA,
        **indexers_kwargs: Any,
    ) -> Self:
        """Conform this object onto a new set of indexes, filling in
        missing values with ``fill_value``. The default fill value is NaN.

        Parameters
        ----------
        indexers : dict, optional
            Dictionary with keys given by dimension names and values given by
            arrays of coordinates tick labels. Any mismatched coordinate
            values will be filled in with NaN, and any mismatched dimension
            names will simply be ignored.
            One of indexers or indexers_kwargs must be provided.
        method : {None, "nearest", "pad", "ffill", "backfill", "bfill", None}, optional
            Method to use for filling index values in ``indexers`` not found in
            this dataset:

            - 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 : float | Iterable[float] | str | None, default: None
            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``.
            Tolerance may be a scalar value, which applies the same tolerance
            to all values, or list-like, which applies variable tolerance per
            element. List-like must be the same size as the index and its dtype
            must exactly match the index’s type.
        copy : bool, default: True
            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.
        fill_value : scalar or dict-like, optional
            Value to use for newly missing values. If a dict-like,
            maps variable names (including coordinates) to fill values.
        sparse : bool, default: False
            use sparse-array.
        **indexers_kwargs : {dim: indexer, ...}, optional
            Keyword arguments in the same form as ``indexers``.
            One of indexers or indexers_kwargs must be provided.

        Returns
        -------
        reindexed : Dataset
            Another dataset, with this dataset&#x27;s data but replaced coordinates.

        See Also
        --------