(../../api/polars.exceptions.SchemaError.html)
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  * [ Testing ](../../testing.html) __
    * [ polars.testing.assert_frame_equal ](../../api/polars.testing.assert_frame_equal.html)
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    * [ 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)

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    * [ 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)
  * __
  * [ List ](../list.html)
  * polars.Serie... 

#  polars.Series.list.sort  #

Series.list.  sort  (

     _ *  _ , 
     _ descending  :  [ bool  ](https://docs.python.org/3/library/functions.html#bool "\(in Python v3.12\)") =  False  _ , 
     _ nulls_last  :  [ bool  ](https://docs.python.org/3/library/functions.html#bool "\(in Python v3.12\)") =  False  _ , 
     _ multithreaded  :  [ bool  ](https://docs.python.org/3/library/functions.html#bool "\(in Python v3.12\)") =  True  _ , 
)  →  Series  [ [source]  ](https://github.com/pola-
rs/polars/blob/py-0.20.23/py-polars/polars/series/list.py#L284-L320) #

    

Sort the arrays in this column.

Parameters  :

    

**descending**

    

Sort in descending order.

**nulls_last**

    

Place null values last.

**multithreaded**

    

Sort using multiple threads.

Examples

    
    
    >>> s = pl.Series("a", [[3, 2, 1], [9, 1, 2]])
    >>> s.list.sort()
    shape: (2,)
    Series: 'a' [list[i64]]
    [
            [1, 2, 3]
            [1, 2, 9]
    ]
    >>> s.list.sort(descending=True)
    shape: (2,)
    Series: 'a' [list[i64]]
    [
            [3, 2, 1]
            [9, 2, 1]
    ]
    

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  * ` Series.list.sort()  `

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