mars.dataframe.Series.sort_index#
- Series.sort_index(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True, ignore_index: bool = False, parallel_kind='PSRS', psrs_kinds=None)#
Sort object by labels (along an axis).
- 参数
a (Input DataFrame or Series.) –
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.
ignore_index (bool, default False) – If True, the resulting axis will be labeled 0, 1, …, n - 1.
parallel_kind ({'PSRS'}, optional.) – Parallel sorting algorithm, for the details, refer to: http://csweb.cs.wfu.edu/bigiron/LittleFE-PSRS/build/html/PSRSalgorithm.html
psrs_kinds (Sorting algorithms during PSRS algorithm.) –
- 返回
sorted_obj – DataFrame with sorted index if inplace=False, None otherwise.
- 返回类型
DataFrame or None