jorisvandenbossche commented on PR #51151:
URL: https://github.com/apache/arrow/pull/51151#issuecomment-6085455796
I was wondering how this could actually have caused such behaviour change,
because essentially before this PR it was replacing _identical_ pandas
metadata.
But it seems replacing the schema metadata at the moment impacts the table:
```python
>>> table = pa.table({"a": [1, 2, 3]}).select([])
>>> table.num_rows
3
>>> table = table.replace_schema_metadata({"test": "value"})
>>> table.num_rows
0
```
That seems like an actual bug in pyarrow.
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