amaliujia commented on code in PR #38768:
URL: https://github.com/apache/spark/pull/38768#discussion_r1031750623
##########
python/pyspark/sql/connect/dataframe.py:
##########
@@ -51,24 +52,11 @@
class GroupingFrame(object):
Review Comment:
Renamed
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python/pyspark/sql/connect/dataframe.py:
##########
@@ -51,24 +52,11 @@
class GroupingFrame(object):
-
- MeasuresType = Union[Sequence[Tuple["ExpressionOrString", str]], Dict[str,
str]]
- OptMeasuresType = Optional[MeasuresType]
-
def __init__(self, df: "DataFrame", *grouping_cols: Union[Column, str]) ->
None:
self._df = df
self._grouping_cols = [x if isinstance(x, Column) else df[x] for x in
grouping_cols]
- def agg(self, exprs: Optional[MeasuresType] = None) -> "DataFrame":
-
- # Normalize the dictionary into a list of tuples.
- if isinstance(exprs, Dict):
- measures = list(exprs.items())
- elif isinstance(exprs, List):
- measures = exprs
- else:
- measures = []
-
+ def agg(self, measures: Sequence[Expression]) -> "DataFrame":
res = DataFrame.withPlan(
Review Comment:
added.
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