MaxGekk commented on code in PR #39239:
URL: https://github.com/apache/spark/pull/39239#discussion_r1058794838
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python/pyspark/pandas/tests/test_resample.py:
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@@ -263,7 +263,7 @@ def test_dataframe_resample(self):
def test_series_resample(self):
self._test_resample(self.pdf1.A, self.psdf1.A, ["4Y"], ["sum"])
self._test_resample(self.pdf2.A, self.psdf2.A, ["13M"], ["sum"])
- self._test_resample(self.pdf3.A, self.psdf3.A, ["18H"], ["sum"])
+ # self._test_resample(self.pdf3.A, self.psdf3.A, ["18H"], ["sum"])
Review Comment:
It fails locally on my laptop. The test itself is weird, what's the idea of
sum up all timestamps? If you need to compare timestamp series, just compare
elements. Summing of dates/timestamps doesn't make any sense. Any way, so far,
it fails. It seems somewhere in pandas code there is a dependency from time
zone offset, or conversion from/to local timestamp is not symmetric (actually
the conversion is not needed but we are doing it for some reason).
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