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https://issues.apache.org/jira/browse/SPARK-37601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rafal Wojdyla updated SPARK-37601:
----------------------------------
Description:
{code:python}
def foo(df: DataFrame, p: int) -> DataFrame
...
# current:
from functools import partial
df.transform(partial(foo, p=3))
# or:
df.transform(lambda df: foo(df, p=3))
# vs suggested:
df.transform(foo, p=3)
{code}
was:
{code:python}
def foo(df: DataFrame, p: int) -> DataFrame
...
# current:
from functools import partial
df.transform(partial(foo, p=3))
# or
df.transform(lambda df: foo(df, p=3))
# vs suggested:
df.transform(foo, p=3)
{code}
> Could/should sql.DataFrame.transform accept function parameters?
> ----------------------------------------------------------------
>
> Key: SPARK-37601
> URL: https://issues.apache.org/jira/browse/SPARK-37601
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.1.2, 3.2.0
> Reporter: Rafal Wojdyla
> Priority: Major
>
> {code:python}
> def foo(df: DataFrame, p: int) -> DataFrame
> ...
> # current:
> from functools import partial
> df.transform(partial(foo, p=3))
> # or:
> df.transform(lambda df: foo(df, p=3))
> # vs suggested:
> df.transform(foo, p=3)
> {code}
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