pandas.Series.mode#

Series.mode(dropna=True)[source]#

Return the mode(s) of the Series.

The mode is the value that appears most often. There can be multiple modes.

Always returns Series even if only one value is returned.

Parameters:
dropnabool, default True

Don’t consider counts of NaN/NaT.

Returns:
Series

Modes of the Series in sorted order.

Examples

>>> s = pd.Series([2, 4, 2, 2, 4, None])
>>> s.mode()
0    2.0
dtype: float64

More than one mode:

>>> s = pd.Series([2, 4, 8, 2, 4, None])
>>> s.mode()
0    2.0
1    4.0
dtype: float64

With and without considering null value:

>>> s = pd.Series([2, 4, None, None, 4, None])
>>> s.mode(dropna=False)
0   NaN
dtype: float64
>>> s = pd.Series([2, 4, None, None, 4, None])
>>> s.mode()
0    4.0
dtype: float64