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https://issues.apache.org/jira/browse/ARROW-14104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17432393#comment-17432393
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Joris Van den Bossche commented on ARROW-14104:
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[~sgilmore] can you check the pyarrow version used in the pyarrow-5.0
environment to be sure you are actually using pyarrow 5.0?
({{pa.\_\_version\_\_}}, or eg {{conda list}})
I get the following output after downloading the files you provided:
{code:python}
In [1]: import pyarrow as pa
In [2]: import pyarrow.parquet as pq
In [3]: t1 = pq.read_table("../Downloads/exampleArrow4.parq")
In [4]: t1
Out[4]:
pyarrow.Table
TimestampColumn: list<item: timestamp[us, tz=America/New_York]>
child 0, item: timestamp[us, tz=America/New_York]
In [8]: t2
Out[8]:
pyarrow.Table
TimestampColumn: list<item: timestamp[us, tz=America/New_York]>
child 0, item: timestamp[us, tz=America/New_York]
In [9]: pa.__version__
Out[9]: '5.0.0'
{code}
If you are actually using pyarrow 5.0, can you give some more details about the
environment? (other installed packages, eg conda/pip list, which operating
system, python version, etc)
> Reading Lists of Timestamps from parquet files in Arrow 5.0.0 fails to
> preserve the TimeZone - unlike in Arrow 4.0.0
> --------------------------------------------------------------------------------------------------------------------
>
> Key: ARROW-14104
> URL: https://issues.apache.org/jira/browse/ARROW-14104
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Parquet, Python
> Affects Versions: 5.0.0
> Reporter: Sarah Gilmore
> Priority: Minor
> Attachments: exampleArrow4.parq, exampleArrow5.parq
>
>
> In Arrow 4.0.0 it is possible to round-trip the TimeZone property of
> List<Timestamp> columns to and from parquet files:
> {code:java}
> >>> import pyarrow as pa
> >>> import pyarrow.parquet as pq
> >>> import datetime
> >>> column = pa.array([[datetime.datetime(2023, 9, 23, 11)]],
> >>> pa.list_(pa.timestamp('us', 'America/New_York')));
> >>> t = pa.Table.from_arrays([column], names=['TimestampColumn']);
> >>> pq.write_table(t, "example.parq");
> >>> t2 = pq.read_table("example.parq");
> >>> t2
> pyarrow.Table
> Dates: list<item: timestamp[us, tz=America/New_York]>
> child 0, item: timestamp[us, tz=America/New_York]
> {code}
> However, if you read the same parquet file in pyarrow 5.0.0, the TimeZone is
> set to UTC:
> {code:java}
> >>> t3 = pq.read_table("example.parq");
> >>> t3
> pyarrow.Table
> Dates: list<item: timestamp[us, tz=UTC]>
> child 0, item: timestamp[us, tz=UTC]
> {code}
>
> I noticed that the TimeZone is preserved in Arrow 5.0 when reading non-nested
> timestamp columns.
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