Skip to content

BUG: fix ndarray indexing with float in compat/scipy.py #6740

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
gdraps wants to merge 1 commit into from
Closed

BUG: fix ndarray indexing with float in compat/scipy.py #6740

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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: 1 addition & 1 deletion pandas/compat/scipy.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ def scoreatpercentile(a, per, limit=(), interpolation_method='fraction'):

idx = per / 100. * (values.shape[0] - 1)
if idx % 1 == 0:
score = values[idx]
score = values[int(idx)]
else:
if interpolation_method == 'fraction':
score = _interpolate(values[int(idx)], values[int(idx) + 1],
Expand Down
17 changes: 17 additions & 0 deletions pandas/tests/test_scipy.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
import numpy as np
import pandas as pd
from pandas.util.testing import assert_series_equal
import warnings

def test_describe_with_warnings_raised():
with warnings.catch_warnings():
# escalate warnings
warnings.simplefilter("error")
df = pd.DataFrame({"A": [1, 2, 3], "B": [1.2, 4.2, 5.2]})
act = df.groupby('A')['B'].describe().unstack(0)
exp = pd.Series(
[1.0, 1.2, np.NaN, 1.2, 1.2, 1.2, 1.2, 1.2],
['count', 'mean', 'std', 'min', '25%', '50%', '75%', 'max'],
)
assert_series_equal(act[1], exp)