0x26res opened a new issue, #44534:
URL: https://github.com/apache/arrow/issues/44534
### Describe the enhancement requested
This is really a minor issue.
The error message when casting a table with mismatching column name is
misleading.
```python
import pyarrow as pa
pa.table({"col1": ["abc"]}).cast(
pa.schema([("col1", pa.string()), ("col2", pa.string())])
)
```
Throws:
```
ValueError: Target schema's field names are not matching the table's field
names: ['col1'], ['col1', 'col2']
```
You'd expect the first list of field names to be the "Target schema's field"
and the second one to be the table's field name, given how it is worded.
Alternatively if we want to keep the order, we can change the wording to
"Table's field names are not matching the target schema's field names"
The later mores sense to me because we are calling table.cast(schema), so
the table comes first in the expression.
It would need fixing in a few places. Happy to send an MR.
https://github.com/apache/arrow/blob/802a84693b21847fc48efa2b29e23e0058256eeb/python/pyarrow/tests/test_table.py#L2109
https://github.com/apache/arrow/blob/802a84693b21847fc48efa2b29e23e0058256eeb/python/pyarrow/ipc.pxi#L800
https://github.com/apache/arrow/blob/802a84693b21847fc48efa2b29e23e0058256eeb/python/pyarrow/table.pxi#L3308
### Component(s)
Python
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