stinodego opened a new issue, #37050:
URL: https://github.com/apache/arrow/issues/37050
### Describe the bug, including details regarding any error messages,
version, and platform.
Creating an empty table, converting to the interchange format, then reading
it back, gives an error:
```python
import pyarrow as pa
import pyarrow.interchange
df = pa.table([[]], names=['col1'])
dfi = df.__dataframe__()
pa.interchange.from_dataframe(dfi)
# ValueError: Must pass schema, or at least one RecordBatch
```
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/home/stijn/code/polars/py-polars/.venv/lib/python3.11/site-packages/pyarrow/interchange/from_dataframe.py",
line 86, in from_dataframe
return _from_dataframe(df.__dataframe__(allow_copy=allow_copy),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/home/stijn/code/polars/py-polars/.venv/lib/python3.11/site-packages/pyarrow/interchange/from_dataframe.py",
line 112, in _from_dataframe
return pa.Table.from_batches(batches)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 3972, in pyarrow.lib.Table.from_batches
ValueError: Must pass schema, or at least one RecordBatch
```
I believe the reason for this is that `dfi.num_chunks()` is 0, when it
should be 1.
### 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]
