xarray.CFTimeIndex.get_indexer_for#

CFTimeIndex.get_indexer_for(target)[source]#

Guaranteed return of an indexer even when non-unique.

This dispatches to get_indexer or get_indexer_non_unique as appropriate.

Parameters:: target (Index) – An iterable containing the values to be used for computing indexer.
Returns:: np.ndarray[np.intp] – List of indices.

See also

Index.get_indexer: Computes indexer and mask for new index given the current index.
Index.get_non_unique: Returns indexer and masks for new index given the current index.

Examples

>>> idx = pd.Index([np.nan, "var1", np.nan])
>>> idx.get_indexer_for([np.nan])
array([0, 2])