pandas.Series.notna¶

Detect existing (non-missing) values.

Return a boolean same-sized object indicating if the values are not NA. Non-missing values get mapped to True. Characters such as empty strings '' or numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as_na = True). NA values, such as None or numpy.NaN, get mapped to False values.

return: Series Mask of bool values for each element in Series that indicates whether an element is not an NA value.

Examples¶

Detect existing (non-missing) values.¶

import numpy as np
import pandas as pd
from numba import njit


@njit
def series_notna():
    series = pd.Series([4, np.nan, 2, 1])

    return series.notna()  # Expect series of True, False, True, True


print(series_notna())

$ python ./series/series_notna.py
0     True
1    False
2     True
3     True
dtype: bool

Navigation

pandas.Series.notna¶

Examples¶