[SPARK-37525] Timedelta support in pandas API on Spark

• Type: Umbrella
• Status: Resolved
• Priority: Major
• Resolution: Resolved
• Affects Version/s: 3.3.0
• Component/s: PySpark
• Labels: release-notes
• Assignee: Xinrong Meng
• Reporter: Xinrong Meng
• Created: 03/Dec/21 03:01
• Updated: 10/Jun/22 12:01
• Resolved: 19/May/22 00:52

Description

Since DayTimeIntervalType is supported in PySpark, we may add TimedeltaIndex support in pandas API on Spark accordingly.

We shall approach it in steps below:

• introduce
• properties
• functions and basic operations
• creation (from Series/Index, generic methods)
• type conversion (astype)

Issue Links

• Is contained by: SPARK-37275 Support ANSI intervals in PySpark
• links to: [Github] Pull Request #34825 (xinrong-databricks)
• links to: [Github] Pull Request #34825 (xinrong-databricks)

Sub-Tasks

• Support TimedeltaIndex creation (from Series/Index) and TimedeltaIndex.astype: Resolved
• Introduce TimedeltaIndex to pandas API on Spark: Resolved
• Support TimedeltaIndex in pandas API on Spark: Resolved
• Implement days, seconds, microseconds properties of TimedeltaIndex: Resolved
• Implement `ps.timedelta_range` method: Resolved
• Implement `ps.to_timedelta` method: Resolved
• Disable certain doctests of `ps.to_timedelta` for pandas<=1.0.5: Resolved