pandas.Series.mode

Series.mode(dropna=True)

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.

See also

numpy.mode

Equivalent numpy function for computing median.

Series.sum

Sum of the values.

Series.median

Median of the values.

Series.std

Standard deviation of the values.

Series.var

Variance of the values.

Series.min

Minimum value.

Series.max

Maximum value.

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