cudf.Series.mode#
- Series.mode(dropna=True)[source]#
Return the mode(s) of the dataset.
Always returns Series even if only one value is returned.
- Parameters:
- dropnabool, default True
Don’t consider counts of NA/NaN/NaT.
- Returns:
- Series
Modes of the Series in sorted order.
Examples
>>> import cudf >>> series = cudf.Series([7, 6, 5, 4, 3, 2, 1]) >>> series 0 7 1 6 2 5 3 4 4 3 5 2 6 1 dtype: int64 >>> series.mode() 0 1 1 2 2 3 3 4 4 5 5 6 6 7 dtype: int64
We can include
<NA>
values in mode by passingdropna=False
.>>> series = cudf.Series([7, 4, 3, 3, 7, None, None]) >>> series 0 7 1 4 2 3 3 3 4 7 5 <NA> 6 <NA> dtype: int64 >>> series.mode() 0 3 1 7 dtype: int64 >>> series.mode(dropna=False) 0 3 1 7 2 <NA> dtype: int64