def test_remove_column(self):
"""remove one column"""
df = pandas.DataFrame([[0.001, -0.35], [np.nan, 0.42]], ['R1', 'R2'], ['C1', 'C2'])
filtered = dm.nochange_filter(df)
self.assertEquals(2, filtered.shape[0])
self.assertEquals(1, filtered.shape[1])
self.assertTrue((filtered.values == [[-0.35], [0.42]]).all())
def test_remove_column(self):
"""remove one column"""
df = pandas.DataFrame([[0.001, -0.35], [np.nan, 0.42]], ['R1', 'R2'], ['C1', 'C2'])
filtered = dm.nochange_filter(df)
self.assertEquals(2, filtered.shape[0])
self.assertEquals(1, filtered.shape[1])
self.assertTrue((filtered.values == [[-0.35], [0.42]]).all())
def test_simple(self):
"""simplest test case: everything kept"""
df = pandas.DataFrame(np.array([[0.24, -0.35], [-0.42, 0.42]]), ['R1', 'R2'], ['C1', 'C2'])
filtered = dm.nochange_filter(df)
self.assertEquals(2, filtered.shape[0])
self.assertEquals(2, filtered.shape[1])
self.assertTrue((filtered.values == [[0.24, -0.35],
[-0.42, 0.42]]).all())
def test_simple(self):
"""simplest test case: everything kept"""
df = pandas.DataFrame(np.array([[0.24, -0.35], [-0.42, 0.42]]), ['R1', 'R2'], ['C1', 'C2'])
filtered = dm.nochange_filter(df)
self.assertEquals(2, filtered.shape[0])
self.assertEquals(2, filtered.shape[1])
self.assertTrue((filtered.values == [[0.24, -0.35],
[-0.42, 0.42]]).all())
def test_remove_column(self):
"""remove one column"""
matrix = dm.DataMatrix(2, 2, ['R1', 'R2'], ['C1', 'C2'],
values=[[0.001, -0.35], [np.nan, 0.42]])
filtered = dm.nochange_filter(matrix)
self.assertEquals(2, filtered.num_rows)
self.assertEquals(1, filtered.num_columns)
self.assertTrue((filtered.values == [[-0.35], [0.42]]).all())
def test_remove_column(self):
"""remove one column"""
matrix = dm.DataMatrix(2,
2, ['R1', 'R2'], ['C1', 'C2'],
values=[[0.001, -0.35], [np.nan, 0.42]])
filtered = dm.nochange_filter(matrix)
self.assertEquals(2, filtered.num_rows)
self.assertEquals(1, filtered.num_columns)
self.assertTrue((filtered.values == [[-0.35], [0.42]]).all())
def test_simple(self):
"""simplest test case: everything kept"""
matrix = dm.DataMatrix(2, 2, ['R1', 'R2'], ['C1', 'C2'],
values=[[0.24, -0.35], [-0.42, 0.42]])
filtered = dm.nochange_filter(matrix)
self.assertEquals(2, filtered.num_rows)
self.assertEquals(2, filtered.num_columns)
self.assertTrue((filtered.values == [[0.24, -0.35],
[-0.42, 0.42]]).all())
def test_simple(self):
"""simplest test case: everything kept"""
matrix = dm.DataMatrix(2,
2, ['R1', 'R2'], ['C1', 'C2'],
values=[[0.24, -0.35], [-0.42, 0.42]])
filtered = dm.nochange_filter(matrix)
self.assertEquals(2, filtered.num_rows)
self.assertEquals(2, filtered.num_columns)
self.assertTrue((filtered.values == [[0.24, -0.35], [-0.42,
0.42]]).all())