api/polars.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.clone  #

LazyFrame.  clone  (  )  →  Self  [ [source]  ](https://github.com/pola-
rs/polars/blob/main/py-polars/polars/lazyframe/frame.py#L2655-L2678) #

    

Create a copy of this LazyFrame.

This is a cheap operation that does not copy data.

See also

[ ` clear  ` ](polars.LazyFrame.clear.html#polars.LazyFrame.clear
"polars.LazyFrame.clear")

    

Create an empty copy of the current LazyFrame, with identical schema but no
data.

Examples

    
    
    >>> lf = pl.LazyFrame(
    ...     {
    ...         "a": [None, 2, 3, 4],
    ...         "b": [0.5, None, 2.5, 13],
    ...         "c": [True, True, False, None],
    ...     }
    ... )
    >>> lf.clone()  
    <LazyFrame at ...>
    

[ __ previous  polars.LazyFrame.clear  ](polars.LazyFrame.clear.html "previous
page") [ next  polars.LazyFrame.drop  __ ](polars.LazyFrame.drop.html "next
page")

__ On this page

  * ` LazyFrame.clone()  `

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