def test_test_once_when_given_numpy_ndarray(self):
data = np.array(self.data2)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
expected_index = 0
actual_index = grubbs_test._test_once(data, 0.05)
self.assertEqual(actual_index, expected_index)
def test_delete_item_when_given_pandas_series(self):
if pd is not None:
data = pd.Series(self.data3)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
actual_data = grubbs_test._delete_item(data, 1)
self.assertEqual(len(actual_data), 3)
def test_get_target_index_when_given_numpy_ndarray(self):
data = np.array(self.data1)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
expected_index = 0
actual_index, _ = grubbs_test._target(data)
self.assertEqual(actual_index, expected_index)
def test_check_type_when_given_pandas_series(self):
if pd is not None:
data = pd.Series(self.data1)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
copied_data = grubbs_test._copy_data()
self.assertIsInstance(copied_data, pd.Series)
def test_test_once_when_given_pandas_series(self):
if pd is not None:
data = pd.Series(self.data2)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
expected_index = 0
actual_index = grubbs_test._test_once(data, 0.05)
self.assertEqual(actual_index, expected_index)
def test_get_target_index_when_given_pandas_series(self):
if pd is not None:
data = pd.Series(self.data1)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
expected_index = 0
actual_index, _ = grubbs_test._target(data)
self.assertEqual(actual_index, expected_index)
def test_delete_item_when_given_numpy_ndarray(self):
data = np.array(self.data3)
grubbs_test = grubbs.TwoSidedGrubbsTest(data)
actual_data = grubbs_test._delete_item(data, 1)
self.assertEqual(len(actual_data), 3)
def test_check_type_when_given_list(self):
grubbs_test = grubbs.TwoSidedGrubbsTest(self.data1)
copied_data = grubbs_test._copy_data()
self.assertIsInstance(copied_data, np.ndarray)