You are viewing documentation about an older version (1.22.1). View latest version

modin.pandas.Series.isna¶

Series.isna()[source]¶

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.

Returns:

Mask of bool values for each element in Series that indicates whether an element is an NA value.

Return type:

Series

Examples

>>> ser = pd.Series([5, 6, np.nan])
>>> ser
0    5.0
1    6.0
2    NaN
dtype: float64
Copy
>>> ser.isna()
0    False
1    False
2     True
dtype: bool
Copy