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.
Don’t consider counts of NaN/NaT.
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
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https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/api/pandas.Series.mode.html