einsone opened a new issue, #35424:
URL: https://github.com/apache/arrow/issues/35424
### Describe the usage question you have. Please include as many useful
details as possible.
why different columns order result in different schema?
the following code raise:
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
```python
import pandas as pd
import pyarrow as pa
print(pa.show_info())
df1 = pd.DataFrame({
"col1": [1,2,3,4,5],
"col2": ["A", "B", "C", "D", "E"],
})
df2 = pd.DataFrame({
"col2": ["A", "B", "C", "D", "E"],
"col1": [1,2,3,4,5],
})
tbl1 = pa.Table.from_pandas(df1, preserve_index=False)
tbl2 = pa.Table.from_pandas(df2, preserve_index=False)
tbl3 = pa.concat_tables([tbl1, tbl2])
```
### Component(s)
C++, Python
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