[SPARK-36142] Adjust exponentiation between Series with missing values and bool literal to follow pandas

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 3.2.0
• Fix Version/s: 3.2.0
• Component/s: PySpark
• Assignee: Yikun Jiang
• Reporter: Xinrong Meng
• Created: 14/Jul/21 23:46
• Updated: 12/Dec/22 18:10
• Resolved: 27/Jul/21 03:10

Description

Currently, exponentiation between ExtentionDtypes and bools is not consistent with pandas' behavior.

 

 >>> pser = pd.Series([1, 2, np.nan], dtype=float)
 >>> psser = ps.from_pandas(pser)
 >>> pser ** False
 0 1.0
 1 1.0
 2 1.0
 dtype: float64
 >>> psser ** False
 0 1.0
 1 1.0
 2 NaN
 dtype: float64

We ought to adjust that.

 

Issue Links

• links to: [Github] Pull Request #33521 (Yikun)