jingz-db commented on code in PR #50349:
URL: https://github.com/apache/spark/pull/50349#discussion_r2008379997
##########
python/pyspark/sql/pandas/types.py:
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@@ -1424,6 +1424,12 @@ def _to_numpy_type(type: DataType) ->
Optional["np.dtype"]:
return np.dtype("float32")
elif type == DoubleType():
return np.dtype("float64")
+ elif type == TimestampType():
Review Comment:
I am confused by the PR title, if this change is inside the base pyspark
type, why it only impacts timestamp type when "multiple state data" is
involved? Why it works fine if there is only single state data?
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