jorisvandenbossche commented on issue #34701:
URL: https://github.com/apache/arrow/issues/34701#issuecomment-1578938916

   Example of the current behaviour for conversion to numpy/pandas:
   
   ```
   In [36]: arr = pc.run_end_encode([1, 2, 2, 3, 3, 3])
   
   In [37]: arr.to_numpy()
   ---------------------------------------------------------------------------
   ArrowNotImplementedError                  Traceback (most recent call last)
   Cell In [37], line 1
   ----> 1 arr.to_numpy()
   
   File pyarrow/array.pxi:1530, in pyarrow.lib.Array.to_numpy()
   
   File pyarrow/error.pxi:121, in pyarrow.lib.check_status()
   
   ArrowNotImplementedError: No known equivalent Pandas block for Arrow data of 
type run_end_encoded<run_ends: int32, values: int64> is known.
   
   In [38]: arr.to_pandas()
   ---------------------------------------------------------------------------
   ArrowNotImplementedError                  Traceback (most recent call last)
   Cell In [38], line 1
   ----> 1 arr.to_pandas()
   
   File pyarrow/array.pxi:855, in pyarrow.lib._PandasConvertible.to_pandas()
   
   File pyarrow/array.pxi:1478, in pyarrow.lib.Array._to_pandas()
   
   File pyarrow/array.pxi:1682, in pyarrow.lib._array_like_to_pandas()
   
   File pyarrow/error.pxi:121, in pyarrow.lib.check_status()
   
   ArrowNotImplementedError: No known equivalent Pandas block for Arrow data of 
type run_end_encoded<run_ends: int32, values: int64> is known.
   ```


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