Skip to content

BUG: Fix nansum overflow on Windows with bottleneck #15507

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 6 commits into from
Closed

BUG: Fix nansum overflow on Windows with bottleneck #15507

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
ea54ddf
BUG: Overflow bug fixed for nansum
Feb 25, 2017
508bc4d
TST: Add numsum overflow test
Feb 25, 2017
c40f6dc
CLN: Fix linting of ci/lint.sh
Feb 26, 2017
af7aebb
BUG: Fix nansum overflow for Windows
Feb 26, 2017
9335903
BUG: Disable bottleneck for nansum to avoid overflow
Feb 28, 2017
7b95a88
CLN: Remove import os, since not using os
Mar 2, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions doc/source/whatsnew/v0.20.0.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -632,3 +632,5 @@ Bug Fixes
- Bug in ``pd.melt()`` where passing a tuple value for ``value_vars`` caused a ``TypeError`` (:issue:`15348`)
- Bug in ``.eval()`` which caused multiline evals to fail with local variables not on the first line (:issue:`15342`)
- Bug in ``pd.read_msgpack`` which did not allow to load dataframe with an index of type ``CategoricalIndex`` (:issue:`15487`)

- Bug in ``nanops.py`` due to bottleneck, which produces overflow in nansum on Windows (:issue:`15453`)
3 changes: 1 addition & 2 deletions pandas/core/nanops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -128,8 +128,7 @@ def _bn_ok_dtype(dt, name):
# bottleneck does not properly upcast during the sum
# so can overflow
if name == 'nansum':
if dt.itemsize < 8:
return False
return False

return True
return False
Expand Down
6 changes: 6 additions & 0 deletions pandas/tests/test_nanops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -327,6 +327,12 @@ def test_nansum(self):
self.check_funs(nanops.nansum, np.sum, allow_str=False,
allow_date=False, allow_tdelta=True, check_dtype=False)

def test_nansum_overflow(self):
s = Series([2**31])
Copy link
Contributor

@jreback jreback Feb 26, 2017

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

needs testing both with and w/o bottleneck (to yield the same results), see other tests for how to do this.

self.assertEqual(s.sum(), 2147483648)
s = Series([2**31 - 1, 1])
self.assertEqual(s.sum(), 2147483648)

def test_nanmean(self):
self.check_funs(nanops.nanmean, np.mean, allow_complex=False,
allow_obj=False, allow_str=False, allow_date=False,
Expand Down