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https://issues.apache.org/jira/browse/ARROW-2122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16387039#comment-16387039
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ASF GitHub Bot commented on ARROW-2122:
---------------------------------------
adshieh opened a new pull request #1707: ARROW-2122: [Python] Pyarrow fails to
serialize dataframe with timestamp.
URL: https://github.com/apache/arrow/pull/1707
Fixes [ARROW-2122](https://issues.apache.org/jira/browse/ARROW-2122).
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> [Python] Pyarrow fails to serialize dataframe with timestamp.
> -------------------------------------------------------------
>
> Key: ARROW-2122
> URL: https://issues.apache.org/jira/browse/ARROW-2122
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Robert Nishihara
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> The bug can be reproduced as follows.
> {code:java}
> import pyarrow as pa
> import pandas as pd
> df = pd.DataFrame({'A': [pd.Timestamp('2012-11-11 00:00:00+01:00'), pd.NaT]})
> s = pa.serialize(df).to_buffer()
> new_df = pa.deserialize(s) # this fails{code}
> The last line fails with
> {code:java}
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "serialization.pxi", line 441, in pyarrow.lib.deserialize
> File "serialization.pxi", line 404, in pyarrow.lib.deserialize_from
> File "serialization.pxi", line 257, in
> pyarrow.lib.SerializedPyObject.deserialize
> File "serialization.pxi", line 174, in
> pyarrow.lib.SerializationContext._deserialize_callback
> File "/home/ubuntu/arrow/python/pyarrow/serialization.py", line 77, in
> _deserialize_pandas_dataframe
> return pdcompat.serialized_dict_to_dataframe(data)
> File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in
> serialized_dict_to_dataframe
> for block in data['blocks']]
> File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in
> <listcomp>
> for block in data['blocks']]
> File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 466, in
> _reconstruct_block
> dtype = _make_datetimetz(item['timezone'])
> File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 481, in
> _make_datetimetz
> return DatetimeTZDtype('ns', tz=tz)
> File
> "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pandas/core/dtypes/dtypes.py",
> line 409, in __new__
> raise ValueError("DatetimeTZDtype constructor must have a tz "
> ValueError: DatetimeTZDtype constructor must have a tz supplied{code}
>
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