itholic commented on code in PR #40722:
URL: https://github.com/apache/spark/pull/40722#discussion_r1171092506
##########
python/pyspark/pandas/frame.py:
##########
@@ -4871,7 +4868,14 @@ def round(self, decimals: Union[int, Dict[Name, int],
"Series"] = 0) -> "DataFra
else:
raise TypeError("decimals must be an integer, a dict-like or a
Series")
- def op(psser: ps.Series) -> Union[ps.Series, GenericColumn]:
+ if is_remote():
+ from pyspark.sql.connect.column import Column as ConnectColumn
+
+ Column = ConnectColumn
+ else:
+ Column = PySparkColumn # type: ignore[assignment]
Review Comment:
It complains `UnboundLocalError: local variable 'Column' referenced before
assignment` if we don't explicitly assign the `PySparkColumn` to the variable
here, so I fixed it.
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