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doc/source/groupby.rst
@@ -126,6 +126,8 @@ We could naturally group by either the ``A`` or ``B`` columns or both:
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grouped = df.groupby('A')
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grouped = df.groupby(['A', 'B'])
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+.. versionadded:: 0.20
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+
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If we also have a MultiIndex on columns ``A`` and ``B``, we can group by all
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but the specified columns
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pandas/tests/indexes/test_frozen.py
@@ -33,7 +33,7 @@ def test_sub_dupe(self):
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expected = FrozenList([1, 3])
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self.check_result(result, expected)
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- def test_inplace(self):
+ def test_inplace_add(self):
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q = r = self.container
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q += [5]
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self.check_result(q, self.lst + [5])
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