Method tail

xarray/core/dataarray.py:1780–1825

Return a new DataArray whose data is given by the last `n` values along the specified dimension(s). Default `n` = 5 See Also -------- Dataset.tail DataArray.head DataArray.thin Examples -------- >>> da = xr.DataArray(

(
        self,
        indexers: Mapping[Any, int] | int | None = None,
        **indexers_kwargs: Any,
    )

        return self._from_temp_dataset(ds)

    def tail(
        self,
        indexers: Mapping[Any, int] | int | None = None,
        **indexers_kwargs: Any,
    ) -> Self:
        """Return a new DataArray whose data is given by the last `n`
        values along the specified dimension(s). Default `n` = 5

        See Also
        --------
        Dataset.tail
        DataArray.head
        DataArray.thin

        Examples
        --------
        >>> da = xr.DataArray(
        ...     np.arange(25).reshape(5, 5),
        ...     dims=("x", "y"),
        ... )
        >>> da
        <xarray.DataArray (x: 5, y: 5)> Size: 200B
        array([[ 0,  1,  2,  3,  4],
               [ 5,  6,  7,  8,  9],
               [10, 11, 12, 13, 14],
               [15, 16, 17, 18, 19],
               [20, 21, 22, 23, 24]])
        Dimensions without coordinates: x, y

        >>> da.tail(y=1)
        <xarray.DataArray (x: 5, y: 1)> Size: 40B
        array([[ 4],
               [ 9],
               [14],
               [19],
               [24]])
        Dimensions without coordinates: x, y

        >>> da.tail({"x": 2, "y": 2})
        <xarray.DataArray (x: 2, y: 2)> Size: 32B
        array([[18, 19],
               [23, 24]])
        Dimensions without coordinates: x, y
        """
        ds = self._to_temp_dataset().tail(indexers, **indexers_kwargs)
        return self._from_temp_dataset(ds)

    def thin(
        self,