try removing restriction on windows

Author: jreback

pandas/tests/indexing/test_coercion.py

@@ -1183,13 +1183,6 @@ def _assert_replace_conversion(self, from_key, to_key, how):
 
         result = obj.replace(replacer)
 
-        # buggy on windows for bool/int64
-        if (from_key == 'bool' and
-                to_key == 'int64' and
-                tm.is_platform_windows()):
-            pytest.skip("windows platform buggy: {0} -> {1}".format
-                        (from_key, to_key))
-
         if ((from_key == 'float64' and to_key in ('int64')) or
             (from_key == 'complex128' and
              to_key in ('int64', 'float64'))):

pandas/types/cast.py

@@ -928,13 +928,14 @@ def _find_common_type(types):
     if all(is_timedelta64_dtype(t) for t in types):
         return np.dtype('timedelta64[ns]')
 
-    # don't mix bool / int or float
-    # this is different from numpy, which casts bool/int as int
+    # don't mix bool / int or float or complex
+    # this is different from numpy, which casts bool with float/int as int
     has_bools = any(is_bool_dtype(t) for t in types)
-    has_ints = any(is_integer_dtype(t) for t in types)
-    has_floats = any(is_float_dtype(t) for t in types)
-    has_complex = any(is_complex_dtype(t) for t in types)
-    if has_bools and (has_ints or has_floats or has_complex):
-        return np.object
+    if has_bools:
+        has_ints = any(is_integer_dtype(t) for t in types)
+        has_floats = any(is_float_dtype(t) for t in types)
+        has_complex = any(is_complex_dtype(t) for t in types)
+        if has_ints or has_floats or has_complex:
+            return np.object
 
     return np.find_common_type(types, [])