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BUG: import of maybe_convert_indices in pandas.core.index.py, #10610 #10872

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BUG: import of maybe_convert_indices in pandas.core.index.py, #10610 #10872

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9473a2c
Fixed import error in index.py and added exception raising for value …
Aug 20, 2015
169daa9
Fixed import error in index.py and added exception raising for value …
Aug 20, 2015
7394334
Merge remote-tracking branch 'origin/mixed_type_index' into mixed_typ…
Aug 20, 2015
20d4d98
Merge remote-tracking branch 'origin/mixed_type_index' into mixed_typ…
Aug 20, 2015
b52866a
Merge branch 'mixed_type_index' of https://github.com/djgagne/pandas …
Aug 20, 2015
81794cc
BUG: GH10610 Fixed import error in index.py and added exception, test
Aug 20, 2015
e01e5cc
Merge branch 'mixed_type_index' of https://github.com/djgagne/pandas …
Aug 20, 2015
a153330
BUG: #10610 Altered index checking to use existing checks to raise In…
Aug 24, 2015
dba2132
Merge remote-tracking branch 'upstream/master' into mixed_type_index
Aug 24, 2015
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.17.0.txt
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Expand Up @@ -785,4 +785,5 @@ Bug Fixes
- Bug in ``iloc`` allowing memory outside bounds of a Series to be accessed with negative integers (:issue:`10779`)
- Bug in ``read_msgpack`` where encoding is not respected (:issue:`10580`)
- Bug preventing access to the first index when using ``iloc`` with a list containing the appropriate negative integer (:issue:`10547`, :issue:`10779`)
- Bug in ``pd.Index`` when using passing a list of indices to a mixed-integer index (:issue:`10610`)
- Bug in ``TimedeltaIndex`` formatter causing error while trying to save ``DataFrame`` with ``TimedeltaIndex`` using ``to_csv`` (:issue:`10833`)
9 changes: 6 additions & 3 deletions pandas/core/index.py
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Expand Up @@ -973,9 +973,12 @@ def _convert_list_indexer(self, keyarr, kind=None):
indexer = self.get_indexer(keyarr)
if (indexer >= 0).all():
return indexer

from pandas.core.indexing import _maybe_convert_indices
return _maybe_convert_indices(indexer, len(self))
# missing values are flagged as -1 by get_indexer and negative indices are already
# converted to positive indices in the above if-statement, so the negative flags are changed to
# values outside the range of indices so as to trigger an IndexError in maybe_convert_indices
indexer[indexer < 0] = len(self)
from pandas.core.indexing import maybe_convert_indices
return maybe_convert_indices(indexer, len(self))
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this is already done inside maybe_convert_indices why do you think its needed here?

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It is necessary because negative indices passed into maybe_convert_indices are summed by the length of the array before the bounds checking is done. Because get_indexer assigns labels that are not found in the index with a value of -1, the last row or column is assigned to those positions instead of either NaNs or an exception being raised. With the line I added, the bounds checking in maybe_convert_indices will now throw an IndexError for out of bounds indices.


elif not self.inferred_type == 'integer':
return keyarr
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5 changes: 5 additions & 0 deletions pandas/tests/test_index.py
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Expand Up @@ -1729,6 +1729,11 @@ def test_equals_op_multiindex(self):
df.index == index_a
tm.assert_numpy_array_equal(index_a == mi3, np.array([False, False, False]))

def test_multitype_list_index_access(self):
df = pd.DataFrame(np.random.random((10, 5)), columns=["a"] + [20, 21, 22, 23])
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add the issue number as a comment here

with self.assertRaises(IndexError):
vals = df[[22, 26, -8]]
self.assertEqual(df[21].shape[0], df.shape[0])

class TestCategoricalIndex(Base, tm.TestCase):
_holder = CategoricalIndex
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