move timedelta test_astype test

pandas/tests/indexes/timedeltas/test_astype.py

@@ -1,3 +1,5 @@
+from datetime import timedelta
+
 import pytest
 
 import numpy as np
@@ -8,6 +10,24 @@
 
 
 class TestTimedeltaIndex(object):
+    def test_astype_object(self):
+        idx = timedelta_range(start='1 days', periods=4, freq='D', name='idx')
+        expected_list = [Timedelta('1 days'), Timedelta('2 days'),
+                         Timedelta('3 days'), Timedelta('4 days')]
+        result = idx.astype(object)
+        expected = Index(expected_list, dtype=object, name='idx')
+        tm.assert_index_equal(result, expected)
+        assert idx.tolist() == expected_list
+
+    def test_astype_object_with_nat(self):
+        idx = TimedeltaIndex([timedelta(days=1), timedelta(days=2), NaT,
+                              timedelta(days=4)], name='idx')
+        expected_list = [Timedelta('1 days'), Timedelta('2 days'), NaT,
+                         Timedelta('4 days')]
+        result = idx.astype(object)
+        expected = Index(expected_list, dtype=object, name='idx')
+        tm.assert_index_equal(result, expected)
+        assert idx.tolist() == expected_list
 
     def test_astype(self):
         # GH 13149, GH 13209

pandas/tests/indexes/timedeltas/test_ops.py

@@ -8,7 +8,7 @@
 from pandas import to_timedelta
 from pandas import (Series, Timedelta, Timestamp, TimedeltaIndex,
                     timedelta_range,
-                    _np_version_under1p10, Index)
+                    _np_version_under1p10)
 from pandas._libs.tslib import iNaT
 from pandas.tests.test_base import Ops
 
@@ -25,31 +25,6 @@ def test_ops_properties(self):
         self.check_ops_properties(TimedeltaIndex._field_ops, f)
         self.check_ops_properties(TimedeltaIndex._object_ops, f)
 
-    def test_astype_object(self):
-        idx = timedelta_range(start='1 days', periods=4, freq='D', name='idx')
-        expected_list = [Timedelta('1 days'), Timedelta('2 days'),
-                         Timedelta('3 days'), Timedelta('4 days')]
-        expected = pd.Index(expected_list, dtype=object, name='idx')
-        result = idx.astype(object)
-        assert isinstance(result, Index)
-
-        assert result.dtype == object
-        tm.assert_index_equal(result, expected)
-        assert result.name == expected.name
-        assert idx.tolist() == expected_list
-
-        idx = TimedeltaIndex([timedelta(days=1), timedelta(days=2), pd.NaT,
-                              timedelta(days=4)], name='idx')
-        expected_list = [Timedelta('1 days'), Timedelta('2 days'), pd.NaT,
-                         Timedelta('4 days')]
-        expected = pd.Index(expected_list, dtype=object, name='idx')
-        result = idx.astype(object)
-        assert isinstance(result, Index)
-        assert result.dtype == object
-        tm.assert_index_equal(result, expected)
-        assert result.name == expected.name
-        assert idx.tolist() == expected_list
-
     def test_minmax(self):
 
         # monotonic