pandas.Index.notna¶
-
Index.
notna
()[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''
ornumpy.inf
are not considered NA values (unless you setpandas.options.mode.use_inf_as_na = True
). NA values, such as None ornumpy.NaN
, get mapped toFalse
values.New in version 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
pandas.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])