HyukjinKwon 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_r293233404
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File path: python/pyspark/sql/tests/test_arrow.py
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@@ -383,6 +383,18 @@ def test_timestamp_dst(self):
assert_frame_equal(pdf, df_from_python.toPandas())
assert_frame_equal(pdf, df_from_pandas.toPandas())
+ def test_timestamp_nat(self):
+ dt = [pd.NaT, pd.Timestamp('2019-06-11'), None] * 100
+ pdf = pd.DataFrame({'time': dt})
+
+ with self.sql_conf({'spark.sql.execution.arrow.pyspark.enabled':
"false"}):
Review comment:
not a big deal but I think we can do this with a for loop.
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