TST: fixup 32-bit failing tests

pandas/core/format.py

@@ -778,8 +778,6 @@ def __init__(self, obj, path_or_buf, sep=",", na_rep='', float_format=None,
                  tupleize_cols=True):
 
         self.engine = engine  # remove for 0.12
-
-        obj._consolidate_inplace()
         self.obj = obj
 
         self.path_or_buf = path_or_buf
@@ -835,7 +833,7 @@ def __init__(self, obj, path_or_buf, sep=",", na_rep='', float_format=None,
         self.blocks = self.obj._data.blocks
         ncols = sum(len(b.items) for b in self.blocks)
         self.data =[None] * ncols
-        self.column_map = self.obj._data.get_items_map()
+        self.column_map = self.obj._data.get_items_map(use_cached=False)
 
         if chunksize is None:
             chunksize = (100000/ (len(self.cols) or 1)) or 1

pandas/core/internals.py

@@ -1130,17 +1130,20 @@ def maybe_create_block(block):
         # when we recreate the block manager if needed
         return getattr(self,'_ref_locs',None)
 
-    def get_items_map(self):
+    def get_items_map(self, use_cached=True):
         """ 
         return an inverted ref_loc map for an item index
         block -> item (in that block) location -> column location
+
+        use_cached : boolean, use the cached items map, or recreate
         """
 
         # cache check
-        im = getattr(self,'_items_map',None)
-        if im is not None:
-            return im
-
+        if use_cached:
+            im = getattr(self,'_items_map',None)
+            if im is not None:
+                return im
+
         im = dict()
         rl = self._set_ref_locs()
 

pandas/tests/test_frame.py

@@ -4942,7 +4942,7 @@ def test_to_csv_no_index(self):
             df.to_csv(path, index=False)
             result = read_csv(path)
             assert_frame_equal(df,result)
-            df['c3'] = [7,8,9]
+            df['c3'] = Series([7,8,9],dtype='int64')
             df.to_csv(path, index=False)
             result = read_csv(path)
             assert_frame_equal(df,result)
@@ -5000,7 +5000,8 @@ def _make_frame(names=None):
                                  columns=MultiIndex.from_tuples([('bah', 'foo'), 
                                                                  ('bah', 'bar'), 
                                                                  ('ban', 'baz')],
-                                                                names=names))
+                                                                names=names),
+                                 dtype='int64')
 
             # column & index are multi-index
             df = mkdf(5,3,r_idx_nlevels=2,c_idx_nlevels=4)