pandas.Index.notnull — pandas 0.24.0rc1 documentation (original) (raw)
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.
New in version 0.20.0.
| 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])