sort_index

Cartesian.sort_index(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True, by=None)

Sort object by labels (along an axis)

The description is taken from the pandas project.

Parameters:
  • axis (index, columns to direct sorting) –
  • 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 (boolean, default True) – Sort ascending vs. descending
  • inplace (bool) – if True, perform operation in-place
  • kind ({quicksort, mergesort, heapsort}) – 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'}) – first puts NaNs at the beginning, last puts NaNs at the end
  • sort_remaining (bool) – 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

Return type:

Cartesian