pandas.Index.notna — pandas 1.0.1 documentation (original) (raw)

Index. notna(self)[source]¶

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 numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as_na = True). NA values, such as None or numpy.NaN, get mapped to Falsevalues.

Returns

numpy.ndarray

Boolean array to indicate which entries are not NA.

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])