def notna(self):
return ~self.isna()<EOL>
Detect existing (non-missing) values.

Return a boolean same-sized object 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
(unless you set ``pandas.options.mode.use_inf_as_na = True``).
NA values, such as None or :attr:`numpy.NaN`, get mapped to ``False``
values.

.. versionadded:: 0.20.0

Returns
-------
numpy.ndarray
    Boolean array to indicate which entries are not NA.

See Also
--------
Index.notnull : Alias of notna.
Index.isna: Inverse of notna.
notna : Top-level notna.

Examples
--------
Show which entries in an Index are not NA. The result is an
array.

>>> idx = pd.Index([5.2, 6.0, np.NaN])
>>> idx
Float64Index([5.2, 6.0, nan], dtype='float64')
>>> idx.notna()
array([ True,  True, False])

Empty strings are not considered NA values. None is considered a NA
value.

>>> idx = pd.Index(['black', '', 'red', None])
>>> idx
Index(['black', '', 'red', None], dtype='object')
>>> idx.notna()
array([ True,  True,  True, False])