add tests for nanops

Author: toddrjen

pandas/tests/test_common.py

@@ -12,7 +12,6 @@
 import pandas.core.common as com
 import pandas.util.testing as tm
 import pandas.core.config as cf
-from pandas.core import nanops
 
 _multiprocess_can_split_ = True
 
@@ -394,54 +393,6 @@ def test_ensure_int32():
     assert(result.dtype == np.int32)
 
 
-class TestEnsureNumeric(tm.TestCase):
-    def test_numeric_values(self):
-        # Test integer
-        self.assertEqual(nanops._ensure_numeric(1), 1, 'Failed for int')
-        # Test float
-        self.assertEqual(nanops._ensure_numeric(1.1), 1.1, 'Failed for float')
-        # Test complex
-        self.assertEqual(nanops._ensure_numeric(1 + 2j), 1 + 2j,
-                         'Failed for complex')
-
-    def test_ndarray(self):
-        # Test numeric ndarray
-        values = np.array([1, 2, 3])
-        self.assertTrue(np.allclose(nanops._ensure_numeric(values), values),
-                        'Failed for numeric ndarray')
-
-        # Test object ndarray
-        o_values = values.astype(object)
-        self.assertTrue(np.allclose(nanops._ensure_numeric(o_values), values),
-                        'Failed for object ndarray')
-
-        # Test convertible string ndarray
-        s_values = np.array(['1', '2', '3'], dtype=object)
-        self.assertTrue(np.allclose(nanops._ensure_numeric(s_values), values),
-                        'Failed for convertible string ndarray')
-
-        # Test non-convertible string ndarray
-        s_values = np.array(['foo', 'bar', 'baz'], dtype=object)
-        self.assertRaises(ValueError,
-                          lambda: nanops._ensure_numeric(s_values))
-
-    def test_convertable_values(self):
-        self.assertTrue(np.allclose(nanops._ensure_numeric('1'), 1.0),
-                        'Failed for convertible integer string')
-        self.assertTrue(np.allclose(nanops._ensure_numeric('1.1'), 1.1),
-                        'Failed for convertible float string')
-        self.assertTrue(np.allclose(nanops._ensure_numeric('1+1j'), 1 + 1j),
-                        'Failed for convertible complex string')
-
-    def test_non_convertable_values(self):
-        self.assertRaises(TypeError,
-                          lambda: nanops._ensure_numeric('foo'))
-        self.assertRaises(TypeError,
-                          lambda: nanops._ensure_numeric({}))
-        self.assertRaises(TypeError,
-                          lambda: nanops._ensure_numeric([]))
-
-
 def test_ensure_platform_int():
 
     # verify that when we create certain types of indices