AlenkaF opened a new issue, #40659:
URL: https://github.com/apache/arrow/issues/40659
### Describe the enhancement requested
We want to enable the conversion of Run-End Encoded arrays to numpy and
pandas. For example, this should not fail:
```python
In [1]: import pyarrow as pa
...: import pyarrow.compute as pc
...:
...: arr = pc.run_end_encode([1, 1, 2, 3, 3, 3, 6])
...: arr.to_numpy()
---------------------------------------------------------------------------
ArrowNotImplementedError Traceback (most recent call last)
Cell In[1], line 5
2 import pyarrow.compute as pc
4 arr = pc.run_end_encode([1, 1, 2, 3, 3, 3, 6])
----> 5 arr.to_numpy()
File ~/repos/arrow/python/pyarrow/array.pxi:1585, in
pyarrow.lib.Array.to_numpy()
1583
1584 with nogil:
-> 1585 check_status(ConvertArrayToPandas(c_options,
self.sp_array,
1586 self, &out))
1587
File ~/repos/arrow/python/pyarrow/error.pxi:91, in pyarrow.lib.check_status()
89 return -1
90
---> 91 raise convert_status(status)
92
93
ArrowNotImplementedError: No known equivalent Pandas block for Arrow data of
type run_end_encoded<run_ends: int32, values: int64> is known.
```
### Component(s)
Python
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