icexelloss commented on a change in pull request #24844: [SPARK-28003][PYTHON]
Allow NaT values when creating Spark dataframe from pandas with Arrow
URL: https://github.com/apache/spark/pull/24844#discussion_r293121417
##########
File path: python/pyspark/serializers.py
##########
@@ -296,7 +296,7 @@ def create_array(s, t):
mask = s.isnull()
# Ensure timestamp series are in expected form for Spark internal
representation
if t is not None and pa.types.is_timestamp(t):
- s = _check_series_convert_timestamps_internal(s.fillna(0),
self._timezone)
+ s = _check_series_convert_timestamps_internal(s,
self._timezone)
Review comment:
Yeah pandas 0.19.2 doesn't work with pyarrow 0.12.1. I cannot run arrow
tests with pandas 0.19.2 anymore.
Since we are requiring min arrow version to be 0.12, it means pandas version
0.19.2 is not supported if the user wants to use Arrow.
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