pandas.Series.isna¶

Detect missing values.

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

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

Examples¶

Detect missing values.¶

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


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

    return s.isna()  # Expect series of False, True, False, False


print(series_isna())

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

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pandas.Series.isna¶

Examples¶