pandas.Series.isna#

Detect missing values.

Return a boolean same-sized Series indicating if the values are NA. NA values, such as None or numpy.NaN, get 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:

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

See also

DataFrame.isna: Detect missing values.
DataFrame.isnull: Alias of isna.
Series.notna: Boolean inverse of isna.
DataFrame.notna: Boolean inverse of isna.
Series.notnull: Alias of notna.
DataFrame.notnull: Alias of notna.
Series.dropna: Omit axes labels with missing values.
DataFrame.dropna: Omit axes labels with missing values.
isna: Top-level isna.

Examples

Show which entries in a Series are NA.

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