[
https://issues.apache.org/jira/browse/ARROW-8967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mark Waddle updated ARROW-8967:
-------------------------------
Summary: [Python] [Parquet] pyarrow.Table.to_pandas() fails to convert
valid TIMESTAMP_MILLIS to pandas timestamp (was: [Python] [Parquet]
Table.to_pandas() fails to convert valid TIMESTAMP_MILLIS fails to convert to
pandas timestamp)
> [Python] [Parquet] pyarrow.Table.to_pandas() fails to convert valid
> TIMESTAMP_MILLIS to pandas timestamp
> --------------------------------------------------------------------------------------------------------
>
> Key: ARROW-8967
> URL: https://issues.apache.org/jira/browse/ARROW-8967
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.17.0
> Reporter: Mark Waddle
> Priority: Major
>
> reading a parquet file with a valid TIMESTAMP_MILLIS value of -61552915200000
> (0019-06-20) results in the following error
> {noformat}
> File "pyarrow/array.pxi", line 587, in
> pyarrow.lib._PandasConvertible.to_pandas
> File "pyarrow/table.pxi", line 1640, in pyarrow.lib.Table._to_pandas
> File
> "/Users/mark/.local/share/virtualenvs/parquetpy-BNIqCtDj/lib/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 766, in table_to_blockmanager
> blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes)
> File
> "/Users/mark/.local/share/virtualenvs/parquetpy-BNIqCtDj/lib/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 1102, in _table_to_blocks
> list(extension_columns.keys()))
> File "pyarrow/table.pxi", line 1107, in pyarrow.lib.table_to_blocks
> File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
> pyarrow.lib.ArrowInvalid: Casting from timestamp[ms] to timestamp[ns] would
> result in out of bounds timestamp: -61552915200000
> {noformat}
> as it stands there is no way to read this file
> i would like to be able to choose the timestamp unit when reading, much like
> you can when writing.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
