fangchenli commented on code in PR #54312:
URL: https://github.com/apache/spark/pull/54312#discussion_r2824993007
##########
python/pyspark/sql/conversion.py:
##########
@@ -1489,13 +1490,20 @@ def convert_numpy(
if v is not None
else None
)
+ elif isinstance(spark_type, VariantType):
+ series = arr.to_pandas(date_as_object=True)
+ series = series.apply(
+ cast(
Review Comment:
The error was:
```
python/pyspark/sql/conversion.py:1501: error: Argument 1 to "apply" of
"Series" has incompatible type "Callable[[Any], VariantVal | None]"; expected
"Callable[..., str | bytes | date | datetime | timedelta | <15 more items> |
None]" [arg-type]
python/pyspark/sql/conversion.py:1501: error: Incompatible return value type
(got "VariantVal | None", expected "str | bytes | date | datetime | timedelta |
<15 more items> | None") [return-value]
```
We could also ignore it here to keep it simple.
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