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added test to indexing on groupby, #32464 #44046
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Original file line number | Diff line number | Diff line change |
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@@ -1155,3 +1155,15 @@ def test_groupby_sum_below_mincount_nullable_integer(): | |
result = grouped.sum(min_count=2) | ||
expected = DataFrame({"b": [pd.NA] * 3, "c": [pd.NA] * 3}, dtype="Int64", index=idx) | ||
tm.assert_frame_equal(result, expected) | ||
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def test_if_is_multiindex(): | ||
# GH 32464 | ||
# Test if index after groupby with more then one column is always MultiIndex | ||
a = DataFrame({"a": [], "b": [], "c": []}) | ||
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agg_1 = a.groupby(["a", "b"]).sum().iloc[:, :0] | ||
agg_2 = a.groupby(["a", "b", "c"]).sum().droplevel("c") | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Okay could you change the assertion back to testing the There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Sure! Like this? # GH 32464
# Test if index after groupby with more then one column is always MultiIndex
a = DataFrame({"a": [], "b": [], "c": []})
agg_1 = a.groupby(["a", "b"]).sum()
agg_2 = a.groupby(["a", "b", "c"]).sum()
# Tests if group by with all columns has a MultiIndex
assert isinstance(agg_2.index, pd.core.indexes.multi.MultiIndex)
result = agg_1.iloc[:, :0]
expected = agg_2.droplevel("c")
# Tests if both agreggations have multiindex
tm.assert_frame_equal(result, expected) There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. You can use |
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# Tests if both agreggations have multiindex | ||
tm.assert_frame_equal(agg_1, agg_2) |
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Can you rename to something like test_empty_multiindex