BryanCutler 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_r293489913
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File path: python/pyspark/serializers.py
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@@ -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)
# TODO: need cast after Arrow conversion, ns values cause
error with pandas 0.19.2
Review comment:
Let's fix this one up in another PR.
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