itholic commented on code in PR #38016:
URL: https://github.com/apache/spark/pull/38016#discussion_r980971632
##########
python/pyspark/pandas/tests/indexes/test_base.py:
##########
@@ -203,9 +203,35 @@ def test_to_frame(self):
# non-string names
self.assert_eq(psidx.to_frame(name=[10, 20]), pidx.to_frame(name=[10,
20]))
self.assert_eq(psidx.to_frame(name=("x", 10)),
pidx.to_frame(name=("x", 10)))
- self.assert_eq(
- psidx.to_frame(name=[("x", 10), ("y", 20)]),
pidx.to_frame(name=[("x", 10), ("y", 20)])
- )
+ if LooseVersion(pd.__version__) < LooseVersion("1.5.0"):
+ self.assert_eq(
+ psidx.to_frame(name=[("x", 10), ("y", 20)]),
+ pidx.to_frame(name=[("x", 10), ("y", 20)]),
+ )
+ else:
+ # Since pandas 1.5.0, the result is changed as below:
+ # (x, 10) (y, 20)
Review Comment:
The exact diff is shown as below:
```python
# pandas < 1.5.0
>>> pd.Index([('x', 10), ('y', 20)]).to_frame(name=[("x", 20), ("y", 20)])
x y
20 20
x 10 x 10
y 20 y 20
# pandas >= 1.5.0
>>> pd.Index([('x', 10), ('y', 20)]).to_frame(name=[("x", 20), ("y", 20)])
(x, 20) (y, 20)
x 10 x 10
y 20 y 20
```
The column should be like `Index([('x', 20), ('y', 20)], dtype='object')`,
but such as way is not allowed in pandas API on Spark:
```python
>>> ps.Index([['x', 20], ['y', 20]])
Traceback (most recent call last):
...
pyarrow.lib.ArrowTypeError: Expected bytes, got a 'int' object
```
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