From ba9055297b1e0fdcd19ab3bfa58e56b01eb1d267 Mon Sep 17 00:00:00 2001
From: Garrett Drapala <drapala@gmail.com>
Date: Sat, 29 Mar 2014 15:34:11 -0400
Subject: [PATCH] BUG: prevent ndarray indexing with float (+ test)

---
 pandas/compat/scipy.py     |  2 +-
 pandas/tests/test_scipy.py | 17 +++++++++++++++++
 2 files changed, 18 insertions(+), 1 deletion(-)
 create mode 100644 pandas/tests/test_scipy.py

diff --git a/pandas/compat/scipy.py b/pandas/compat/scipy.py
index 81601ffe25609..9acfae48160a7 100644
--- a/pandas/compat/scipy.py
+++ b/pandas/compat/scipy.py
@@ -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],
diff --git a/pandas/tests/test_scipy.py b/pandas/tests/test_scipy.py
new file mode 100644
index 0000000000000..290c9c66d7979
--- /dev/null
+++ b/pandas/tests/test_scipy.py
@@ -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)
+