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TST: groupby apply called multiple times #34897

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Merged
jreback merged 7 commits into from
Jun 20, 2020
Merged

TST: groupby apply called multiple times #34897

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Rohith295 Jun 20, 2020
0ec39fc
Merge remote-tracking branch 'upstream/master' into GroupByApplyBehav…
Rohith295 Jun 20, 2020
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:white_check_mark:
Rohith295 Jun 20, 2020
6b84fa7
Merge remote-tracking branch 'upstream/master' into GroupByApplyBehav…
Rohith295 Jun 20, 2020
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reformatted accordingly, for linting issues
Rohith295 Jun 20, 2020
c4b6c59
Fixed as per the review comments
Rohith295 Jun 20, 2020
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Merge remote-tracking branch 'upstream/master' into GroupByApplyBehav…
Rohith295 Jun 20, 2020
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21 changes: 21 additions & 0 deletions pandas/tests/groupby/test_apply.py
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Original file line number Diff line number Diff line change
Expand Up @@ -974,3 +974,24 @@ def test_apply_function_with_indexing_return_column():
result = df.groupby("foo1", as_index=False).apply(lambda x: x.mean())
expected = DataFrame({"foo1": ["one", "three", "two"], "foo2": [3.0, 4.0, 4.0]})
tm.assert_frame_equal(result, expected)


def test_apply_function_called_count(capsys):
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@jreback jreback Jun 20, 2020

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move this near test_group_apply_once_per_group and indicate the same issue number (as well)

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@jreback jreback Jun 20, 2020

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and rename these test to test_group_apply_once_per_group2

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@Rohith295 Rohith295 Jun 20, 2020

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Alright @jreback . Will change it accordingly

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@Rohith295 Rohith295 Jun 20, 2020

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Should remove GH: 31111 and use # GH2936, GH7739, GH10519, GH2656, GH12155, GH20084, GH21417 @jreback

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@jreback jreback Jun 20, 2020

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you can add this issue number as well is ok

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@Rohith295 Rohith295 Jun 20, 2020

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Alright. fixed accordingly

# GH: 31111
# groupby-apply need to execute len(set(group_by_columns)) times

expected = 2 # Number of times `apply` should call a function for the current test

df = pd.DataFrame(
{
"group_by_column": [0, 0, 0, 0, 1, 1, 1, 1],
"test_column": ["0", "2", "4", "6", "8", "10", "12", "14"],
},
index=["0", "2", "4", "6", "8", "10", "12", "14"],
)

df.groupby("group_by_column").apply(lambda df: print("function_called"))

result = capsys.readouterr().out.count("function_called")
# If `groupby` behaves unexpectedly, this test will break
assert result == expected