xarray.CFTimeIndex.slice_indexer

CFTimeIndex.slice_indexer(start=None, end=None, step=None, kind=None)

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)

  • kind (str, default None)

Returns

indexer

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)