Index.slice_indexer(start=None, end=None, step=None, kind=None) [source]
For an ordered or unique index, compute the slice indexer for input labels and step.
| Parameters: |
start : label, default None If None, defaults to the beginning end : label, default None If None, defaults to the end
|
|---|---|
| Returns: |
|
| Raises: |
KeyError : If key does not exist, or key is not unique and index is not ordered. |
This function assumes that the data is sorted, so use at your own peril
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)
>>> idx = pd.MultiIndex.from_arrays([list('abcd'), list('efgh')])
>>> idx.slice_indexer(start='b', end=('c', 'g'))
slice(1, 3)
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Index.slice_indexer.html