8000 fix: fix grouping series on multiple other series by TrevorBergeron · Pull Request #455 · googleapis/python-bigquery-dataframes · GitHub
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fix: fix grouping series on multiple other series #455

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Merged
TrevorBergeron merged 3 commits into from
Mar 19, 2024
Merged

fix: fix grouping series on multiple other series #455

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5331bc5
fix: fix grouping series on multiple other series
TrevorBergeron Mar 18, 2024
8d3bf40
Merge branch 'main' into fix_series_gorup
TrevorBergeron Mar 18, 2024
54a864d
Merge branch 'main' into fix_series_gorup
TrevorBergeron Mar 19, 2024
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2 changes: 1 addition & 1 deletion bigframes/series.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1195,7 +1195,7 @@ def _groupby_values(
get_column_right,
) = block.join(key._block, how="inner" if dropna else "left")

value_col = get_column_left[self._value_column]
value_col = get_column_left[value_col]
grouping_cols = [
*[get_column_left[value] for value in grouping_cols],
get_column_right[key._value_column],
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10 changes: 8 additions & 2 deletions tests/system/small/test_series.py
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Expand Up @@ -1313,9 +1313,15 @@ def test_any(scalars_dfs):
def test_groupby_sum(scalars_dfs):
scalars_df, scalars_pandas_df = scalars_dfs
col_name = "int64_too"
bf_series = scalars_df[col_name].groupby(scalars_df["string_col"]).sum()
bf_series = (
scalars_df[col_name]
.groupby([scalars_df["bool_col"], ~scalars_df["bool_col"]])
.sum()
)
pd_series = (
scalars_pandas_df[col_name].groupby(scalars_pandas_df["string_col"]).sum()
scalars_pandas_df[col_name]
.groupby([scalars_pandas_df["bool_col"], ~scalars_pandas_df["bool_col"]])
.sum()
)
# TODO(swast): Update groupby to use index based on group by key(s).
bf_result = bf_series.to_pandas()
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