fjetter opened a new issue, #38489:
URL: https://github.com/apache/arrow/issues/38489
### Describe the bug, including details regarding any error messages,
version, and platform.
Round-tripping dictionary values as part of a pandas dataframe causes the
output dictionaries to be normalized to a common schema such that keys show up
that are not there in the original data.
```python
import pyarrow as pa
import pandas as pd
df = pd.DataFrame({"dicts": [
{"foo": "bar"},
{"bar": "baz"},
{"another": "key"}
]})
```
```python
pa.Table.from_pandas(df).to_pandas()
```
This is both surprising to users and can also grow out of control to a
certain degree
### Component(s)
Python
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