* [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
    * [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
    * [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
    * [ pandas.Series.cat.remove_unused_categories ](pandas.Series.cat.remove_unused_categories.html)
    * [ pandas.Series.cat.set_categories ](pandas.Series.cat.set_categories.html)
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    * [ pandas.Series.sparse.npoints ](pandas.Series.sparse.npoints.html)
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    * [ pandas.Series.sparse.sp_values ](pandas.Series.sparse.sp_values.html)
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    * pandas.Series.list.flatten 
    * [ pandas.Series.list.len ](pandas.Series.list.len.html)
    * [ pandas.Series.list.__getitem__ ](pandas.Series.list.__getitem__.html)
    * [ pandas.Series.struct.dtypes ](pandas.Series.struct.dtypes.html)
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    * [ pandas.Series.to_clipboard ](pandas.Series.to_clipboard.html)
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    * [ pandas.Series.to_markdown ](pandas.Series.to_markdown.html)
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  * [ Extensions ](../extensions.html)
  * [ Testing ](../testing.html)
  * [ Missing values ](../missing_value.html)

  * [ __ ](../../index.html)
  * [ API reference ](../index.html)
  * [ Series ](../series.html)
  * pandas.Serie... 

#  pandas.Series.list.flatten  #

Series.list.  flatten  (  )  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/arrays/arrow/accessors.py#L181-L212) #

    

Flatten list values.

Returns  :

    

pandas.Series

    

The data from all lists in the series flattened.

Examples

    
    
    >>> import pyarr