olars.exceptions.DuplicateError.html)
    * [ polars.exceptions.InvalidOperationError ](../../api/polars.exceptions.InvalidOperationError.html)
    * [ polars.exceptions.NoDataError ](../../api/polars.exceptions.NoDataError.html)
    * [ polars.exceptions.NoRowsReturnedError ](../../api/polars.exceptions.NoRowsReturnedError.html)
    * [ polars.exceptions.PolarsError ](../../api/polars.exceptions.PolarsError.html)
    * [ polars.exceptions.PolarsPanicError ](../../api/polars.exceptions.PolarsPanicError.html)
    * [ polars.exceptions.RowsError ](../../api/polars.exceptions.RowsError.html)
    * [ polars.exceptions.SchemaError ](../../api/polars.exceptions.SchemaError.html)
    * [ polars.exceptions.SchemaFieldNotFoundError ](../../api/polars.exceptions.SchemaFieldNotFoundError.html)
    * [ polars.exceptions.ShapeError ](../../api/polars.exceptions.ShapeError.html)
    * [ polars.exceptions.StructFieldNotFoundError ](../../api/polars.exceptions.StructFieldNotFoundError.html)
    * [ polars.exceptions.TooManyRowsReturnedError ](../../api/polars.exceptions.TooManyRowsReturnedError.html)

  * [ Testing ](../../testing.html) __
    * [ polars.testing.assert_frame_equal ](../../api/polars.testing.assert_frame_equal.html)
    * [ polars.testing.assert_frame_not_equal ](../../api/polars.testing.assert_frame_not_equal.html)
    * [ polars.testing.assert_series_equal ](../../api/polars.testing.assert_series_equal.html)
    * [ polars.testing.assert_series_not_equal ](../../api/polars.testing.assert_series_not_equal.html)
    * [ polars.testing.parametric.dataframes ](../../api/polars.testing.parametric.dataframes.html)
    * [ polars.testing.parametric.series ](../../api/polars.testing.parametric.series.html)
    * [ polars.testing.parametric.column ](../../api/polars.testing.parametric.column.html)
    * [ polars.testing.parametric.columns ](../../api/polars.testing.parametric.columns.html)
    * [ polars.testing.parametric.create_list_strategy ](../../api/polars.testing.parametric.create_list_strategy.html)
    * [ polars.testing.parametric.load_profile ](../../api/polars.testing.parametric.load_profile.html)
    * [ polars.testing.parametric.set_profile ](../../api/polars.testing.parametric.set_profile.html)

  * [ Metadata ](../../metadata.html) __
    * [ polars.build_info ](../../api/polars.build_info.html)
    * [ polars.get_index_type ](../../api/polars.get_index_type.html)
    * [ polars.show_versions ](../../api/polars.show_versions.html)
    * [ polars.thread_pool_size ](../../api/polars.thread_pool_size.html)
    * [ polars.threadpool_size ](../../api/polars.threadpool_size.html)

  * [ __ ](../../../index.html)
  * [ Python API reference ](../../index.html)
  * __
  * [ Manipulation/selection ](../modify_select.html)
  * polars.LazyF... 

#  polars.LazyFrame.drop_nulls  #

LazyFrame.  drop_nulls  (

     _ subset  :  ColumnNameOrSelector  |  Collection  [  ColumnNameOrSelector  ]  |  [ None  ](https://docs.python.org/3/library/constants.html#None "\(in Python v3.12\)") =  None  _ , 
)  →  Self  [ [source]  ](https://github.com/pola-rs/polars/blob/main/py-
polars/polars/lazyframe/frame.py#L5458-L5553) #

    

Drop all rows that contain null values.

The original order of the remaining rows is preserved.

Parameters  :

    

**subset**

    

Column name(s) for which null values are considered. If set to ` None  `
(default), use all columns.

Examples

    
    
    >>> lf = pl.LazyFrame(
    ...     {
    ...         "foo": [1, 2, 3],
    ...         "bar": [6, None, 8],
    ...         "ham": ["a", "b", None],
    ...     }
    ... )
    

The default behavior of this method is to drop rows where any single value of
the row is null.

    
    
    >>> lf.drop_nulls().collect()
    shape: (1, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ a   │
    └─────┴─────┴─────┘
    

This behaviour can be constrained to consider only a sub