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https://issues.apache.org/jira/browse/ARROW-5125?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rok Mihevc updated ARROW-5125:
------------------------------
External issue URL: https://github.com/apache/arrow/issues/16705
> [Python] Cannot roundtrip extreme dates through pyarrow
> -------------------------------------------------------
>
> Key: ARROW-5125
> URL: https://issues.apache.org/jira/browse/ARROW-5125
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.13.0
> Environment: Windows 10, Python 3.7.3 (v3.7.3:ef4ec6ed12, Mar 25
> 2019, 22:22:05)
> Reporter: Max Bolingbroke
> Assignee: Micah Kornfield
> Priority: Major
> Labels: pull-request-available, windows
> Fix For: 0.15.0
>
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> You can roundtrip many dates through a pyarrow array:
>
> {noformat}
> >>> pa.array([datetime.date(1980, 1, 1)], type=pa.date32())[0]
> datetime.date(1980, 1, 1){noformat}
>
> But (on Windows at least), not extreme ones:
>
> {noformat}
> >>> pa.array([datetime.date(1960, 1, 1)], type=pa.date32())[0]
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "pyarrow\scalar.pxi", line 74, in pyarrow.lib.ArrayValue.__repr__
> File "pyarrow\scalar.pxi", line 226, in pyarrow.lib.Date32Value.as_py
> OSError: [Errno 22] Invalid argument
> >>> pa.array([datetime.date(3200, 1, 1)], type=pa.date32())[0]
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "pyarrow\scalar.pxi", line 74, in pyarrow.lib.ArrayValue.__repr__
> File "pyarrow\scalar.pxi", line 226, in pyarrow.lib.Date32Value.as_py
> {noformat}
> This is because datetime.utcfromtimestamp and datetime.timestamp fail on
> these dates, but it seems we should be able to totally avoid invoking this
> function when deserializing dates. Ideally we would be able to roundtrip
> these as datetimes too, of course, but it's less clear that this will be
> easy. For some context on this see [https://bugs.python.org/issue29097].
> This may be related to ARROW-3176 and ARROW-4746
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