MCPcopy Index your code
hub / github.com/pydata/xarray / set_index

Method set_index

xarray/core/dataarray.py:2770–2831  ·  view source on GitHub ↗

Set DataArray (multi-)indexes using one or more existing coordinates. This legacy method is limited to pandas (multi-)indexes and 1-dimensional "dimension" coordinates. See :py:meth:`~DataArray.set_xindex` for setting a pandas or a custom Xarray-compatible in

(
        self,
        indexes: Mapping[Any, Hashable | Sequence[Hashable]] | None = None,
        append: bool = False,
        **indexes_kwargs: Hashable | Sequence[Hashable],
    )

Source from the content-addressed store, hash-verified

2768 return self._from_temp_dataset(ds)
2769
2770 def set_index(
2771 self,
2772 indexes: Mapping[Any, Hashable | Sequence[Hashable]] | None = None,
2773 append: bool = False,
2774 **indexes_kwargs: Hashable | Sequence[Hashable],
2775 ) -> Self:
2776 """Set DataArray (multi-)indexes using one or more existing
2777 coordinates.
2778
2779 This legacy method is limited to pandas (multi-)indexes and
2780 1-dimensional "dimension" coordinates. See
2781 :py:meth:`~DataArray.set_xindex` for setting a pandas or a custom
2782 Xarray-compatible index from one or more arbitrary coordinates.
2783
2784 Parameters
2785 ----------
2786 indexes : {dim: index, ...}
2787 Mapping from names matching dimensions and values given
2788 by (lists of) the names of existing coordinates or variables to set
2789 as new (multi-)index.
2790 append : bool, default: False
2791 If True, append the supplied index(es) to the existing index(es).
2792 Otherwise replace the existing index(es).
2793 **indexes_kwargs : optional
2794 The keyword arguments form of ``indexes``.
2795 One of indexes or indexes_kwargs must be provided.
2796
2797 Returns
2798 -------
2799 obj : DataArray
2800 Another DataArray, with this data but replaced coordinates.
2801
2802 Examples
2803 --------
2804 >>> arr = xr.DataArray(
2805 ... data=np.ones((2, 3)),
2806 ... dims=["x", "y"],
2807 ... coords={"x": range(2), "y": range(3), "a": ("x", [3, 4])},
2808 ... )
2809 >>> arr
2810 <xarray.DataArray (x: 2, y: 3)> Size: 48B
2811 array([[1., 1., 1.],
2812 [1., 1., 1.]])
2813 Coordinates:
2814 * x (x) int64 16B 0 1
2815 a (x) int64 16B 3 4
2816 * y (y) int64 24B 0 1 2
2817 >>> arr.set_index(x="a")
2818 <xarray.DataArray (x: 2, y: 3)> Size: 48B
2819 array([[1., 1., 1.],
2820 [1., 1., 1.]])
2821 Coordinates:
2822 * x (x) int64 16B 3 4
2823 * y (y) int64 24B 0 1 2
2824
2825 See Also
2826 --------
2827 DataArray.reset_index

Calls 2

_to_temp_datasetMethod · 0.95
_from_temp_datasetMethod · 0.95