pandas.Series.dropna — pandas 0.25.3 documentation (original) (raw)
Series. dropna(self, axis=0, inplace=False, **kwargs)[source]¶
Return a new Series with missing values removed.
See the User Guide for more on which values are considered missing, and how to work with missing data.
| Parameters: | axis : {0 or ‘index’}, default 0 There is only one axis to drop values from. inplace : bool, default False If True, do operation inplace and return None. **kwargs Not in use. |
|---|---|
| Returns: | Series Series with NA entries dropped from it. |
Examples
ser = pd.Series([1., 2., np.nan]) ser 0 1.0 1 2.0 2 NaN dtype: float64
Drop NA values from a Series.
ser.dropna() 0 1.0 1 2.0 dtype: float64
Keep the Series with valid entries in the same variable.
ser.dropna(inplace=True) ser 0 1.0 1 2.0 dtype: float64
Empty strings are not considered NA values. None is considered an NA value.
ser = pd.Series([np.NaN, 2, pd.NaT, '', None, 'I stay']) ser 0 NaN 1 2 2 NaT 3 4 None 5 I stay dtype: object ser.dropna() 1 2 3 5 I stay dtype: object