pyspark.pandas.Series.dropna¶
-
Series.dropna(axis: Union[int, str] = 0, inplace: bool = False, **kwargs: Any) → Optional[pyspark.pandas.series.Series][source]¶ Return a new Series with missing values removed.
- Parameters
- axis{0 or ‘index’}, default 0
There is only one axis to drop values from.
- inplacebool, 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 = ps.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