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https://issues.apache.org/jira/browse/ARROW-1400?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-1400.
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Resolution: Fixed
Issue resolved by pull request 991
[https://github.com/apache/arrow/pull/991]
> [Python] Ability to create partitions when writing to Parquet
> -------------------------------------------------------------
>
> Key: ARROW-1400
> URL: https://issues.apache.org/jira/browse/ARROW-1400
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Affects Versions: 0.6.0
> Environment: Mac OS Sierra 10.12.6
> Reporter: Safyre Anderson
> Assignee: Safyre Anderson
> Priority: Minor
> Fix For: 0.7.0
>
>
> I'm fairly new to pyarrow so I apologize if this is already a feature, but I
> couldn't find a solution in the documentation nor an existing issue.
> Basically I'm trying to export pandas dataframes to .parquet files with
> partitions. I can see that pyarrow.parquet has a way of reading .parquet
> files with partitions, but there's no indication that it can write with
> partitions. E.g., it would be nice if there was a parameter in
> pyarrow.Table.write_table() that took a list of columns to partition the
> table similar to the pyspark implementation: spark.write.parquet's
> "partitionBy" parameter.
> Referenced links:
> https://arrow.apache.org/docs/python/parquet.html
> https://arrow.apache.org/docs/python/parquet.html?highlight=pyarrow%20parquet%20partition
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