pandas.Series.notna#

Series.notna()[source]#

Detect existing (non-missing) values.

Return a boolean same-sized Series 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. NA values, such as None or numpy.NaN, get mapped to False values.

Returns:

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

See also

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

Examples

Show which entries in a Series are not NA.

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