BUG: cut/qcut should always return int64 bins

closes pandas-dev#14866

Author: jreback

pandas/tests/tools/test_tile.py

@@ -19,8 +19,8 @@ class TestCut(tm.TestCase):
     def test_simple(self):
         data = np.ones(5)
         result = cut(data, 4, labels=False)
-        desired = np.array([1, 1, 1, 1, 1])
-        tm.assert_numpy_array_equal(result, desired,
+        expected = np.array([1, 1, 1, 1, 1])
+        tm.assert_numpy_array_equal(result, expected,
                                     check_dtype=False)
 
     def test_bins(self):

pandas/tools/tile.py

@@ -4,7 +4,7 @@
 
 from pandas.types.missing import isnull
 from pandas.types.common import (is_float, is_integer,
-                                 is_scalar)
+                                 is_scalar, _ensure_int64)
 
 from pandas.core.api import Series
 from pandas.core.categorical import Categorical
@@ -215,7 +215,7 @@ def _bins_to_cuts(x, bins, right=True, labels=None,
             bins = unique_bins
 
     side = 'left' if right else 'right'
-    ids = bins.searchsorted(x, side=side)
+    ids = _ensure_int64(bins.searchsorted(x, side=side))
 
     if include_lowest:
         ids[x == bins[0]] = 1