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Merged
merged 1 commit into from
Jun 11, 2014
+726 −49
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add unit tests for nanops #7427

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49 changes: 0 additions & 49 deletions pandas/tests/test_common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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

Expand Down Expand Up @@ -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
Expand Down
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