Method notna

pandas/core/series.py:6348–6392

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 :attr:`numpy.inf` are not considered NA values. NA values, such as

(self)

    # error: Cannot determine type of 'notna'
    def notna(self) -> Series:
        """
        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 :attr:`numpy.inf` are not considered NA values.
        NA values, such as None or :attr:`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
        """
        return super().notna()

    # error: Cannot determine type of 'notna'
    @doc(NDFrame.notna, klass=_shared_doc_kwargs["klass"])