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BUG: Fix groupby duplicate column error message #8210

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BUG: Fix groupby duplicate column error message #8210

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3c8e43f
BUG: fix groupby crash on duplicated columns
bthyreau Sep 8, 2014
cf79d6c
BUG: groupby crash on dup columns, + test
bthyreau Sep 8, 2014
58b786e
catch a possible error-case
bthyreau Sep 9, 2014
82eb71e
use assertTrue; adds ref to GH bug
bthyreau Sep 9, 2014
4156b06
add test for multidim error-case
bthyreau Sep 9, 2014
4ec5216
s/AssertionError/ValueError
bthyreau Sep 9, 2014
0562a07
adds entry to changelog
bthyreau Sep 9, 2014
8fce3fd
removing ability to groupby on duplicated column
bthyreau Sep 10, 2014
8697398
+ test
bthyreau Sep 10, 2014
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+ test
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@bthyreau
bthyreau committed Sep 10, 2014
commit 8697398db35a468a83772d8f6642bf38e2656c1a
12 changes: 4 additions & 8 deletions pandas/tests/test_groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -341,19 +341,15 @@ def test_groupby_grouper(self):
expected = grouped.mean()
assert_frame_equal(result, expected)

def test_groupby_duplicated_column(self):
def test_groupby_duplicated_column_errormsg(self):
# GH7511
df = DataFrame(columns=['A','B','A','C'], \
data=[range(4), range(2,6), range(0, 8, 2)])

grouped = df.groupby('A')
self.assertTrue(grouped.count().index.nlevels == 2)
grouped = df.groupby(['A','B'])
self.assertTrue(grouped.count().index.nlevels == 3)
grouped = df.groupby(['A','A'])
self.assertTrue(grouped.count().index.nlevels == 4)
self.assertRaises(AssertionError, df.groupby, 'A')
self.assertRaises(AssertionError, df.groupby, ['A', 'B'])

grouped = df.groupby(['B'])
grouped = df.groupby('B')
c = grouped.count()
self.assertTrue(c.columns.nlevels == 1)
self.assertTrue(c.columns.size == 3)
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