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, ignore_index: bool = False)[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.
- levelint or level name or list of ints or list of level names
If not None, sort on values in specified index level(s).
- ascendingbool, default True
Sort ascending vs. descending.
- inplacebool, 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_remainingbool, default True
If True and sorting by level and index is multilevel, sort by other levels too (in order) after sorting by specified level.
- ignore_indexbool, default False
If True, the resulting axis will be labeled 0, 1, …, n - 1.
New in version 1.0.0.
- Returns
- sorted_objDataFrame or None
DataFrame with sorted index if inplace=False, None otherwise.