pandas.DataFrame.sort_index¶
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DataFrame.
sort_index
(self, axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True, by=None)[source]¶ Sort object by labels (along an axis).
Parameters: - axis : {0 or ‘index’, 1 or ‘columns’}, default 0
The axis along which to sort. The value 0 identifies the rows, and 1 identifies the columns.
- level : int or level name or list of ints or list of level names
If not None, sort on values in specified index level(s).
- ascending : bool, default True
Sort ascending vs. descending.
- inplace : bool, default False
If True, perform operation in-place.
- kind : {‘quicksort’, ‘mergesort’, ‘heapsort’}, default ‘quicksort’
Choice of sorting algorithm. See also ndarray.np.sort for more information. mergesort is the only stable algorithm. For DataFrames, this option is only applied when sorting on a single column or label.
- na_position : {‘first’, ‘last’}, default ‘last’
Puts NaNs at the beginning if first; last puts NaNs at the end. Not implemented for MultiIndex.
- sort_remaining : bool, default True
If True and sorting by level and index is multilevel, sort by other levels too (in order) after sorting by specified level.
Returns: - sorted_obj : DataFrame or None
DataFrame with sorted index if inplace=False, None otherwise.