TheNeuralBit commented on a change in pull request #14487:
URL: https://github.com/apache/beam/pull/14487#discussion_r612765867
##########
File path: sdks/python/apache_beam/dataframe/frames_test.py
##########
@@ -640,6 +646,26 @@ def change_index_names(df):
self._run_test(change_index_names, df)
+ @parameterized.expand((x, ) for x in [
+ 0,
+ [1],
+ 3,
+ [0, 3],
+ [2, 1],
+ ['foo', 0],
+ [1, 'str'],
+ [3, 0, 2, 1],
+ ])
+ def test_groupby_level_agg(self, level):
Review comment:
This does use a MultiIndex, the `set_index` call below copies several
columns into a MultiIndex:
```py
In [1]: from apache_beam.dataframe.frames_test import GROUPBY_DF
In [2]: GROUPBY_DF.set_index(['group', 'foo', 'bar', 'str'], drop=False)
Out[2]:
group foo bar baz bool str
group foo bar str
a NaN NaN 0 a NaN NaN NaN True 0
b 1.0 98.0 1 b 1.0 98.0 2.0 False 1
2.0 97.0 2 b 2.0 97.0 4.0 False 2
a 3.0 96.0 3 a 3.0 96.0 6.0 False 3
b 4.0 95.0 4 b 4.0 95.0 8.0 False 4
... ... ... ... ... ... ..
a 95.0 4.0 95 a 95.0 4.0 190.0 False 95
96.0 3.0 96 a 96.0 3.0 192.0 False 96
b 97.0 2.0 97 b 97.0 2.0 194.0 False 97
98.0 NaN 98 b 98.0 NaN 196.0 False 98
a NaN 0.0 99 a NaN 0.0 198.0 False 99
[100 rows x 6 columns]
```
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