[ARROW-1400] [Python] Ability to create partitions when writing to Parquet

• Type: New Feature
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Affects Version/s: 0.6.0
• Fix Version/s: 0.7.0
• Component/s: Python
• Environment: Mac OS Sierra 10.12.6
• External issue URL: https://github.com/apache/arrow/issues/15457
• Assignee: Safyre Anderson
• Reporter: Safyre Anderson
• Created: 23/Aug/17 01:02
• Updated: 11/Jan/23 07:14
• Resolved: 04/Sep/17 02:37

Description

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