ueshin commented on a change in pull request #33876:
URL: https://github.com/apache/spark/pull/33876#discussion_r699811451
##########
File path: python/pyspark/sql/pandas/conversion.py
##########
@@ -336,10 +338,12 @@ def createDataFrame(self, data, schema=None,
samplingRatio=None, verifySchema=Tr
"has been set to false.\n %s" % str(e))
warnings.warn(msg)
raise
- data = self._convert_from_pandas(data, schema, timezone)
+
+ should_localize = not self._is_timestamp_ntz_preferred()
Review comment:
I mean, I'm just wondering why it's called here.
It can be called earlier to reuse the result, or it can be called later in
each function.
##########
File path: python/pyspark/sql/pandas/conversion.py
##########
@@ -336,10 +338,12 @@ def createDataFrame(self, data, schema=None,
samplingRatio=None, verifySchema=Tr
"has been set to false.\n %s" % str(e))
warnings.warn(msg)
raise
- data = self._convert_from_pandas(data, schema, timezone)
+
+ should_localize = not self._is_timestamp_ntz_preferred()
Review comment:
nit: we should pass the result of `self._is_timestamp_ntz_preferred()`
to `self._create_from_pandas_with_arrow(...)` at line 321 as well to avoid
multiple calls?
Otherwise, we can call it in `self._convert_from_pandas(...)` instead?
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