Skip to main content
`Ctrl`+`K`

# pandas.Series.argsort

Series.argsort(axis=0, kind='quicksort', order=None, stable=None)

  Return the integer indices that would sort the Series values.

  Override ndarray.argsort. Argsorts the value, omitting NA/null values, and places the result in the same locations as the non-NA values.

  Parameters:
    axis{0 or ‘index’}

      Unused. Parameter needed for compatibility with DataFrame.

    kind{‘mergesort’, ‘quicksort’, ‘heapsort’, ‘stable’}, default ‘quicksort’

      Choice of sorting algorithm. See `numpy.sort()` for more information. ‘mergesort’ and ‘stable’ are the only stable algorithms.

    orderNone

      Has no effect but is accepted for compatibility with numpy.

    stableNone

      Has no effect but is accepted for compatibility with numpy.

  Returns:
    Series[np.intp]

      Positions of values within the sort order with -1 indicating nan values.

  See also

  `numpy.ndarray.argsort`

    Returns the indices that would sort this array.

  Examples

      >>> s = pd.Series([3, 2, 1])
      >>> s.argsort()
      0    2
      1    1
      2    0
      dtype: int64