ars.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.with_columns  #

LazyFrame.  with_columns  (

     _ *  exprs  :  IntoExpr  |  Iterable  [  IntoExpr  ]  _ , 
     _ **  named_exprs  :  IntoExpr  _ , 
)  →  Self  [ [source]  ](https://github.com/pola-rs/polars/blob/main/py-
polars/polars/lazyframe/frame.py#L3996-L4147) #

    

Add columns to this LazyFrame.

Added columns will replace existing columns with the same name.

Parameters  :

    

***exprs**

    

Column(s) to add, specified as positional arguments. Accepts expression input.
Strings are parsed as column names, other non-expression inputs are parsed as
literals.

****named_exprs**

    

Additional columns to add, specified as keyword arguments. The columns will be
renamed to the keyword used.

Returns  :

    

LazyFrame

    

A new LazyFrame with the columns added.

Notes

Creating a new LazyFrame using this method does not create a new copy of
existing data.

Examples

Pass an expression to add it as a new column.

    
    
    >>> lf = pl.LazyFrame(
    ...     {
    ...         "a": [1, 2, 3, 4],
    ...         "b": [0.5, 4, 10, 13],
    ...         "c": [True, True, False, True],
    ...     }
    ... )
    >>> lf.with_columns((pl.col("a") ** 2).a