Fix tests that weren't run by PyCharm

pandas/tseries/tests/test_converter.py

@@ -3,7 +3,7 @@
 import nose
 
 import numpy as np
-from pandas import Timestamp, Period
+from pandas import Timestamp, Period, Index
 from pandas.compat import u
 import pandas.util.testing as tm
 from pandas.tseries.offsets import Second, Milli, Micro
@@ -104,7 +104,7 @@ def test_dateindex_conversion(self):
         for freq in ('B', 'L', 'S'):
             dateindex = tm.makeDateIndex(k=10, freq=freq)
             rs = self.dtc.convert(dateindex, None, None)
-            xp = converter.dates.date2num(dateindex._mpl_repr())
+            xp = Index(converter.dates.date2num(dateindex._mpl_repr()))
             tm.assert_almost_equal(rs, xp, decimals)
 
     def test_resolution(self):

pandas/tseries/tests/test_period.py

@@ -3521,8 +3521,8 @@ def test_map(self):
         tm.assert_index_equal(result, expected)
 
         result = index.map(lambda x: x.ordinal)
-        exp = np.array([x.ordinal for x in index], dtype=np.int64)
-        tm.assert_numpy_array_equal(result, exp)
+        exp = Index([x.ordinal for x in index])
+        tm.assert_index_equal(result, exp)
 
     def test_map_with_string_constructor(self):
         raw = [2005, 2007, 2009]
@@ -3534,20 +3534,17 @@ def test_map_with_string_constructor(self):
             types += text_type,
 
         for t in types:
-            expected = np.array(lmap(t, raw), dtype=object)
+            expected = Index(lmap(t, raw))
             res = index.map(t)
 
-            # should return an array
-            tm.assertIsInstance(res, np.ndarray)
+            # should return an Index
+            tm.assertIsInstance(res, Index)
 
             # preserve element types
             self.assertTrue(all(isinstance(resi, t) for resi in res))
 
-            # dtype should be object
-            self.assertEqual(res.dtype, np.dtype('object').type)
-
             # lastly, values should compare equal
-            tm.assert_numpy_array_equal(res, expected)
+            tm.assert_index_equal(res, expected)
 
     def test_convert_array_of_periods(self):
         rng = period_range('1/1/2000', periods=20, freq='D')

pandas/tseries/tests/test_timedeltas.py

@@ -1513,8 +1513,8 @@ def test_map(self):
 
         f = lambda x: x.days
         result = rng.map(f)
-        exp = np.array([f(x) for x in rng], dtype=np.int64)
-        self.assert_numpy_array_equal(result, exp)
+        exp = Int64Index([f(x) for x in rng])
+        self.assert_index_equal(result, exp)
 
     def test_misc_coverage(self):
 

pandas/tseries/tests/test_timeseries.py

@@ -3003,8 +3003,8 @@ def test_map(self):
 
         f = lambda x: x.strftime('%Y%m%d')
         result = rng.map(f)
-        exp = np.array([f(x) for x in rng], dtype='=U8')
-        tm.assert_almost_equal(result, exp)
+        exp = Index([f(x) for x in rng], dtype='<U8')
+        tm.assert_index_equal(result, exp)
 
     def test_iteration_preserves_tz(self):
 
@@ -3700,8 +3700,8 @@ def test_map_bug_1677(self):
         f = index.asof
 
         result = index.map(f)
-        expected = np.array([f(index[0])])
-        self.assert_numpy_array_equal(result, expected)
+        expected = Index([f(index[0])])
+        self.assert_index_equal(result, expected)
 
     def test_groupby_function_tuple_1677(self):
         df = DataFrame(np.random.rand(100),