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Avoid unneeded reset_index in DataFrameGroupBy.describe. #1951

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Dec 4, 2020
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Avoid unneeded reset_index in DataFrameGroupBy.describe. #1951

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8 changes: 2 additions & 6 deletions databricks/koalas/groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2593,7 +2593,7 @@ def describe(self) -> DataFrame:
"DataFrameGroupBy.describe() doesn't support for string type for now"
)

kdf = self.aggregate(["count", "mean", "std", "min", "quartiles", "max"]).reset_index()
kdf = self.aggregate(["count", "mean", "std", "min", "quartiles", "max"])
sdf = kdf._internal.spark_frame
agg_column_labels = [col._column_label for col in self._agg_columns]
formatted_percentiles = ["25%", "50%", "75%"]
Expand All @@ -2614,12 +2614,8 @@ def describe(self) -> DataFrame:
data_columns = map(name_like_string, column_labels)

# Reindex the DataFrame to reflect initial grouping and agg columns.
internal = InternalFrame(
internal = kdf._internal.copy(
spark_frame=sdf,
index_spark_columns=[
scol_for(sdf, kser._internal.data_spark_column_names[0]) for kser in self._groupkeys
],
index_names=[kser._column_label for kser in self._groupkeys],
column_labels=column_labels,
data_spark_columns=[scol_for(sdf, col) for col in data_columns],
)
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