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https://issues.apache.org/jira/browse/ARROW-17192?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alenka Frim updated ARROW-17192:
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Summary: [Python] .to_pandas can't read_feather if a date column contains
dates before 1677 and after 2262 (was: .to_pandas can't read_feather if a
date column contains dates before 1677 and after 2262)
> [Python] .to_pandas can't read_feather if a date column contains dates
> before 1677 and after 2262
> --------------------------------------------------------------------------------------------------
>
> Key: ARROW-17192
> URL: https://issues.apache.org/jira/browse/ARROW-17192
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Environment: Any environment
> Reporter: Adrien Pacifico
> Priority: Major
>
> A feather file with a column containing dates lower than 1677 or greater than
> 2262 cannot be read with pandas, du to `.to_pandas` method.
> To reproduce the issue:
> {code:java}
> ### create feather file
> import pandas as pd
> from datetime import datetime df = pd.DataFrame({"date": [
> datetime.fromisoformat("1654-01-01"),
> datetime.fromisoformat("1920-01-01"),
> ],})
> df.to_feather("to_trash.feather")
> ### read feather file
> from pyarrow.feather import read_feather
> read_feather("to_trash.feather")
> {code}
>
> I think that the expected behavior would be to have an object column
> contining datetime objects.
> I think that the problem comes from _array_like_to_pandas method :
> [https://github.com/apache/arrow/blob/76f45a6892b13391fdede4c72934f75f6d56143c/python/pyarrow/array.pxi#L1584]
> or from `_to_pandas()`
> [https://github.com/apache/arrow/blob/76f45a6892b13391fdede4c72934f75f6d56143c/python/pyarrow/array.pxi#L2742]
> or from `to_pandas`:
> [https://github.com/apache/arrow/blob/76f45a6892b13391fdede4c72934f75f6d56143c/python/pyarrow/array.pxi#L673]
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