try this

Author: TomAugspurger

pandas/io/formats/format.py

@@ -1129,7 +1129,14 @@ def _format_strings(self):
             values = values._values
 
         formatter = values._formatter(self)
-        fmt_values = format_array(np.asarray(values),
+
+        if is_categorical_dtype(values.dtype):
+            # Categorical is special for now, so that we can preserve tzinfo
+            array = values.get_values()
+        else:
+            array = np.asarray(values)
+
+        fmt_values = format_array(array,
                                   formatter,
                                   float_format=self.float_format,
                                   na_rep=self.na_rep, digits=self.digits,

pandas/tests/frame/test_repr_info.py

@@ -514,12 +514,12 @@ def test_repr_categorical_dates_periods(self):
                         tz='US/Eastern')
         p = period_range('2011-01', freq='M', periods=5)
         df = DataFrame({'dt': dt, 'p': p})
-        exp = """                         dt       p
-0 2011-01-01 09:00:00-05:00 2011-01
-1 2011-01-01 10:00:00-05:00 2011-02
-2 2011-01-01 11:00:00-05:00 2011-03
-3 2011-01-01 12:00:00-05:00 2011-04
-4 2011-01-01 13:00:00-05:00 2011-05"""
+        exp = """                         dt        p
+0 2011-01-01 09:00:00-05:00  2011-01
+1 2011-01-01 10:00:00-05:00  2011-02
+2 2011-01-01 11:00:00-05:00  2011-03
+3 2011-01-01 12:00:00-05:00  2011-04
+4 2011-01-01 13:00:00-05:00  2011-05"""
 
         df = DataFrame({'dt': Categorical(dt), 'p': Categorical(p)})
         assert repr(df) == exp