def test_kendalltau_seasonal(self):
# Tests the seasonal Kendall tau.
x = [[nan,nan, 4, 2, 16, 26, 5, 1, 5, 1, 2, 3, 1],
[4, 3, 5, 3, 2, 7, 3, 1, 1, 2, 3, 5, 3],
[3, 2, 5, 6, 18, 4, 9, 1, 1,nan, 1, 1,nan],
[nan, 6, 11, 4, 17,nan, 6, 1, 1, 2, 5, 1, 1]]
x = ma.fix_invalid(x).T
output = mstats.kendalltau_seasonal(x)
assert_almost_equal(output['global p-value (indep)'], 0.008, 3)
assert_almost_equal(output['seasonal p-value'].round(2),
[0.18,0.53,0.20,0.04])
def test_kendalltau_seasonal(self):
# Tests the seasonal Kendall tau.
x = [[nan,nan, 4, 2, 16, 26, 5, 1, 5, 1, 2, 3, 1],
[4, 3, 5, 3, 2, 7, 3, 1, 1, 2, 3, 5, 3],
[3, 2, 5, 6, 18, 4, 9, 1, 1,nan, 1, 1,nan],
[nan, 6, 11, 4, 17,nan, 6, 1, 1, 2, 5, 1, 1]]
x = ma.fix_invalid(x).T
output = mstats.kendalltau_seasonal(x)
assert_almost_equal(output['global p-value (indep)'], 0.008, 3)
assert_almost_equal(output['seasonal p-value'].round(2),
[0.18,0.53,0.20,0.04])