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Posted to issues@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2020/02/17 15:22:00 UTC
[jira] [Resolved] (ARROW-7758) [Python] Wrong conversion of
timestamps that are out of bounds for pandas (eg 0000-01-01)
[ https://issues.apache.org/jira/browse/ARROW-7758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Antoine Pitrou resolved ARROW-7758.
-----------------------------------
Resolution: Fixed
Issue resolved by pull request 6358
[https://github.com/apache/arrow/pull/6358]
> [Python] Wrong conversion of timestamps that are out of bounds for pandas (eg 0000-01-01)
> -----------------------------------------------------------------------------------------
>
> Key: ARROW-7758
> URL: https://issues.apache.org/jira/browse/ARROW-7758
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Evangelos Pertsinis
> Assignee: Joris Van den Bossche
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.0.0
>
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> Using pandas.read_parquet() with pyarrow as the engine produces ValueError when the parquet file contains a date column with the value 0000-01-01.
> PySpark can read the same parquet with no issues and PyArrow up to version 0.11.1 could read it as well.
>
> {code:java}
> // code placeholder
> ---------------------------------------------------------------------------
> ValueError Traceback (most recent call last)
> <ipython-input-7-06e3cce13e18> in <module>
> ----> 1 df_init_df = read_parquet_files('{}/DebtFacility'.format(ext_path))
> <ipython-input-4-f12125c1c8fe> in read_parquet_files(folder_path)
> 2 files = [f for f in os.listdir(folder_path) if f.endswith('parquet')]
> 3
> ----> 4 df_list = [pd.read_parquet(os.path.join(folder_path, f)) for f in files]
> 5
> 6 print(files)
> <ipython-input-4-f12125c1c8fe> in <listcomp>(.0)
> 2 files = [f for f in os.listdir(folder_path) if f.endswith('parquet')]
> 3
> ----> 4 df_list = [pd.read_parquet(os.path.join(folder_path, f)) for f in files]
> 5
> 6 print(files)
> /opt/conda/lib/python3.6/site-packages/pandas/io/parquet.py in read_parquet(path, engine, columns, **kwargs)
> 294
> 295 impl = get_engine(engine)
> --> 296 return impl.read(path, columns=columns, **kwargs)
> /opt/conda/lib/python3.6/site-packages/pandas/io/parquet.py in read(self, path, columns, **kwargs)
> 123 kwargs["use_pandas_metadata"] = True
> 124 result = self.api.parquet.read_table(
> --> 125 path, columns=columns, **kwargs
> 126 ).to_pandas()
> 127 if should_close:
> /opt/conda/lib/python3.6/site-packages/pyarrow/array.pxi in pyarrow.lib._PandasConvertible.to_pandas()
> /opt/conda/lib/python3.6/site-packages/pyarrow/table.pxi in pyarrow.lib.Table._to_pandas()
> /opt/conda/lib/python3.6/site-packages/pyarrow/pandas_compat.py in table_to_blockmanager(options, table, categories, ignore_metadata)
> 702
> 703 _check_data_column_metadata_consistency(all_columns)
> --> 704 blocks = _table_to_blocks(options, table, categories)
> 705 columns = _deserialize_column_index(table, all_columns, column_indexes)
> 706
> /opt/conda/lib/python3.6/site-packages/pyarrow/pandas_compat.py in _table_to_blocks(options, block_table, categories)
> 974
> 975 # Convert an arrow table to Block from the internal pandas API
> --> 976 result = pa.lib.table_to_blocks(options, block_table, categories)
> 977
> 978 # Defined above
> /opt/conda/lib/python3.6/site-packages/pyarrow/table.pxi in pyarrow.lib.table_to_blocks()
> ValueError: year -1 is out of range
> {code}
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