commit | f7429686af1f4f427fbe0d63b6e49ce9cb18fc34 | [log] [tgz] |
---|---|---|
author | Joris Van den Bossche <jorisvandenbossche@gmail.com> | Wed Apr 07 10:55:27 2021 +0200 |
committer | Krisztián Szűcs <szucs.krisztian@gmail.com> | Wed Apr 07 10:55:27 2021 +0200 |
tree | 27d5a909d116eb9094e38032168922c49e34bb2f | |
parent | 8780ca4b12d30a0118c3114edcad27da907d8e7c [diff] |
ARROW-11464: [Python] Fix parquet.read_pandas to support all keywords of read_table * Passes through all keywords to `read_table`, which also means that the docstring is correct now * Because of this, it changes `use_legacy_dataset` from True to False (which I think was an oversight that it was not yet done, as this follows `read_table`) Closes #9910 from jorisvandenbossche/ARROW-11464-read_pandas-docs Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Krisztián Szűcs <szucs.krisztian@gmail.com>
Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.
Major components of the project include:
Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.
The reference Arrow libraries contain many distinct software components:
The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current feature matrix on git master.
Please read our latest project contribution guide.
Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: