def test_crosstab(self):
l1= [1, 2, 7, 7, 2, 1, 2, 1, 1]
l2= [1, 3, 2, 6, 6, 3, 6, 4, 4]
correct = np.array([('1', 1, 0, 1, 2, 0),
('2', 0, 0, 1, 0, 2),
('7', 0, 1, 0, 0, 1)],
dtype=[('col1_value', 'S1'),
('1', int),
('2', int),
('3', int),
('4', int),
('6', int)])
self.assertTrue(np.array_equal(correct, crosstab(l1,l2)))
def test_crosstab(self):
l1= [1, 2, 7, 7, 2, 1, 2, 1, 1]
l2= [1, 3, 2, 6, 6, 3, 6, 4, 4]
correct = np.array([('1', 1, 0, 1, 2, 0),
('2', 0, 0, 1, 0, 2),
('7', 0, 1, 0, 0, 1)],
dtype=[('col1_value', 'S1'),
('1', int),
('2', int),
('3', int),
('4', int),
('6', int)])
correct_printout = """
col1_value 1 2 3 4 6
0 1 1 0 1 2 0
1 2 0 0 1 0 2
2 7 0 1 0 0 1
""".strip()
with uft.rerout_stdout() as get_stdout:
self.assertTrue(np.array_equal(correct, crosstab(l1,l2)))
self.assertEqual(get_stdout().strip(), correct_printout)
