lord opened a new issue, #41812:
URL: https://github.com/apache/arrow/issues/41812
### Describe the bug, including details regarding any error messages,
version, and platform.
This small examples fails with `ValueError: Field pyarrow.Field<a: double
not null> was non-nullable but pandas column had 1 null values` on 16.1.0.
```
import pandas as pd
import pyarrow as pa
df = pd.DataFrame({"a": [1.0, float("nan")]})
schema = pa.schema([pa.field('a', pa.float64(), nullable=False)])
pa.Table.from_pandas(df, schema=schema)
```
I guess this seems like a bug to me, but I'm no pandas expert. It does feel
like this makes roundtripping a non-null float column through pandas impossible?
### Component(s)
Python
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
