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https://issues.apache.org/jira/browse/ARROW-11464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-11464:
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Fix Version/s: 4.0.0
> [Python] pyarrow.parquet.read_pandas doesn't conform to its docs
> ----------------------------------------------------------------
>
> Key: ARROW-11464
> URL: https://issues.apache.org/jira/browse/ARROW-11464
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 3.0.0
> Environment: latest
> Reporter: Pac A. He
> Priority: Major
> Fix For: 4.0.0
>
>
> The {{*pyarrow.parquet.read_pandas*}}
> [implementation|https://github.com/apache/arrow/blob/816c23af4478fe28f31d474e90b433baeadb7a78/python/pyarrow/parquet.py#L1740-L1754]
> doesn't conform to its
> [docs|https://arrow.apache.org/docs/python/generated/pyarrow.parquet.read_pandas.html#pyarrow.parquet.read_pandas]
> in at least these ways:
> # The docs state that a *{{filesystem}}* option can be provided, as it
> should be. Without this option I cannot read from S3, etc. The
> implementation, however, doesn't have this option! As such I currently cannot
> use it to read from S3!
> # The docs (_not in the type definition!_) state that the default value for
> *{{use_legacy_dataset}}* is False, whereas the implementation has a value of
> True. Actually, however, if a value of True is used, then I can't read a
> partitioned dataset at all, so in this case maybe its the doc that needs to
> change to True.
> It looks to have been implemented and reviewed pretty carelessly.
>
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