meta-ks opened a new issue, #38344:
URL: https://github.com/apache/arrow/issues/38344
### Describe the bug, including details regarding any error messages,
version, and platform.
While attempting to convert a DataFrame containing a column with tuples to
an Arrow Table and back to a DataFrame, we encountered a discrepancy (expected
tuple, got np.ndarray) between the original DataFrame and the DataFrame
obtained from the Arrow Table.
Steps to Reproduce:
1. Create a DataFrame with a column that contains tuples.
2. Convert the DataFrame to an Arrow Table using pa.Table.from_pandas().
3. Convert the Arrow Table back to a DataFrame using table.to_pandas().
4. Compare the original DataFrame with the DataFrame obtained from the Arrow
Table.
Expected Results:
The DataFrames before and after conversion should be identical.
Actual Results:
The DataFrames differ.
```
import pandas as pd
import pyarrow as pa
data = {'tup': [(1, 2), (3, 4), (5, 6)]}
df = pd.DataFrame(data)
table = pa.Table.from_pandas(df)
df_back = table.to_pandas()
print("Original DataFrame:")
print(df)
print("\nDataFrame converted from Arrow Table:")
print(df_back)
print("\nAre the DataFrames equal?", df.equals(df_back))
```
### Component(s)
Python
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