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Posted to issues@spark.apache.org by "Haejoon Lee (Jira)" <ji...@apache.org> on 2023/01/26 02:39:00 UTC
[jira] [Updated] (SPARK-42194) Allow `columns` parameter when creating DataFrame with Series.
[ https://issues.apache.org/jira/browse/SPARK-42194?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Haejoon Lee updated SPARK-42194:
--------------------------------
Description:
pandas API on Spark doesn't allow creating DataFrame with Series by specifying the `columns` parameter as below:
{code:java}
>>> 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 {code}
We should make it available.
was:
pandas API on Spark doesn't allow creating DataFrame with Series by specifying the `columns` parameter as below:
{code:java}
>>> ps.DataFrame(psser, columns=["labels"])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/haejoon.lee/Desktop/git_store/spark/python/pyspark/pandas/frame.py", line 539, in __init__
assert columns is None
AssertionError {code}
We should make it available.
> Allow `columns` parameter when creating DataFrame with Series.
> --------------------------------------------------------------
>
> Key: SPARK-42194
> URL: https://issues.apache.org/jira/browse/SPARK-42194
> Project: Spark
> Issue Type: Bug
> Components: ps
> Affects Versions: 3.5.0
> Reporter: Haejoon Lee
> Priority: Major
>
> pandas API on Spark doesn't allow creating DataFrame with Series by specifying the `columns` parameter as below:
> {code:java}
> >>> 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 {code}
> We should make it available.
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