[SPARK-42194] Allow `columns` parameter when creating DataFrame with Series.

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 3.5.0
• Fix Version/s: 3.4.1
• Component/s: Pandas API on Spark
• Assignee: Haejoon Lee
• Reporter: Haejoon Lee
• Created: 26/Jan/23 02:32
• Updated: 22/Mar/23 00:30
• Resolved: 29/Jan/23 02:34

Description

pandas API on Spark doesn't allow creating DataFrame with Series by specifying the `columns` parameter as below:

>>> ps.DataFrame(psser, columns=["labels"])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File ".../spark/python/pyspark/pandas/frame.py", line 539, in __init__
    assert columns is None
AssertionError 

We should make it available.

Issue Links

• links to: [Github] Pull Request #39786 (itholic)