pandas.Series.nunique

Return number of unique elements in the object.

Excludes NA values by default.

param dropna

bool, default True

Don’t include NaN in the count.

return

int

Limitations

• This function may reveal slower performance than Pandas* on user system. Users should exercise a tradeoff

  between staying in JIT-region with that function or going back to interpreter mode.

Examples

Return number of unique elements in the object.

import pandas as pd
from numba import njit


@njit
def series_nunique():
    series = pd.Series([2, 8, 2, 1])

    return series.nunique()  # Expect value: 3


print(series_nunique())

$ python ./series/series_nunique.py
3

See also

DataFrame.nunique

Method nunique for DataFrame.

Series.count

Count non-NA/null observations in the Series.

DatatFrame.count

Count non-NA cells for each column