xorbits.pandas.Index.slice_indexer#
- Index.slice_indexer(start: Hashable | None = None, end: Hashable | None = None, step: int | None = None) slice [source]#
Compute the slice indexer for input labels and step.
Index needs to be ordered and unique.
- Parameters
start (label, default None) – If None, defaults to the beginning.
end (label, default None) – If None, defaults to the end.
step (int, default None) –
- Return type
slice
:raises KeyError : If key does not exist, or key is not unique and index is: not ordered.
Notes
This function assumes that the data is sorted, so use at your own peril
Examples
This is a method on all index types. For example you can do:
>>> idx = pd.Index(list('abcd')) >>> idx.slice_indexer(start='b', end='c') slice(1, 3, None)
>>> idx = pd.MultiIndex.from_arrays([list('abcd'), list('efgh')]) >>> idx.slice_indexer(start='b', end=('c', 'g')) slice(1, 3, None)
Warning
This method has not been implemented yet. Xorbits will try to execute it with pandas.
This docstring was copied from pandas.core.indexes.base.Index.