TST: remove some more warnings

pandas/core/dtypes/missing.py

@@ -327,25 +327,7 @@ def array_equivalent(left, right, strict_nan=False):
         left = left.view('i8')
         right = right.view('i8')
 
-    # NaNs cannot occur otherwise.
-    try:
-        return np.array_equal(left, right)
-    except AttributeError:
-        # see gh-13388
-        #
-        # NumPy v1.7.1 has a bug in its array_equal
-        # function that prevents it from correctly
-        # comparing two arrays with complex dtypes.
-        # This bug is corrected in v1.8.0, so remove
-        # this try-except block as soon as we stop
-        # supporting NumPy versions < 1.8.0
-        if not is_dtype_equal(left.dtype, right.dtype):
-            return False
-
-        left = left.tolist()
-        right = right.tolist()
-
-        return left == right
+    return np.array_equal(left, right)
 
 
 def _infer_fill_value(val):

pandas/core/internals.py

@@ -1289,6 +1289,15 @@ def get_result(other):
             elif is_numeric_v_string_like(values, other):
                 result = False
 
+            # avoid numpy warning of elementwise comparisons
+            elif func.__name__ == 'eq':
+                if is_list_like(other) and not isinstance(other, np.ndarray):
+                    other = np.asarray(other)
+
+                    # if we can broadcast, then ok
+                    if values.shape[-1] != other.shape[-1]:
+                        return False
+                result = func(values, other)
             else:
                 result = func(values, other)
 

pandas/tests/frame/test_analytics.py

@@ -2,6 +2,7 @@
 
 from __future__ import print_function
 
+import warnings
 from datetime import timedelta
 from distutils.version import LooseVersion
 import sys
@@ -102,7 +103,6 @@ def test_corr_int(self):
         # dtypes other than float64 #1761
         df3 = DataFrame({"a": [1, 2, 3, 4], "b": [1, 2, 3, 4]})
 
-        # it works!
         df3.cov()
         df3.corr()
 
@@ -117,7 +117,11 @@ def test_corr_int_and_boolean(self):
         expected = DataFrame(np.ones((2, 2)), index=[
                              'a', 'b'], columns=['a', 'b'])
         for meth in ['pearson', 'kendall', 'spearman']:
-            tm.assert_frame_equal(df.corr(meth), expected)
+
+            # RuntimeWarning
+            with warnings.catch_warnings(record=True):
+                result = df.corr(meth)
+            tm.assert_frame_equal(result, expected)
 
     def test_corr_cov_independent_index_column(self):
         # GH 14617