How to use the pymannkendall.yue_wang_modification_test function in pymannkendall
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mmhs013 / pyMannKendall / tests / test_pymannkendall.py View on Github 
def test_yue_wang_modification_test(NoTrendData, TrendData, arbitrary_1d_data):
# check with no trend data
NoTrendRes = mk.yue_wang_modification_test(NoTrendData)
assert NoTrendRes.trend == 'no trend'
assert NoTrendRes.h == False
assert NoTrendRes.p == 1.0
assert NoTrendRes.z == 0
assert NoTrendRes.Tau == 0.0
assert NoTrendRes.s == 0.0
# check with trendy data
TrendRes = mk.yue_wang_modification_test(TrendData)
assert TrendRes.trend == 'increasing'
assert TrendRes.h == True
assert TrendRes.p == 0.0
assert TrendRes.Tau == 1.0
assert TrendRes.s == 64620.0
# check with arbitrary datadef test_yue_wang_modification_test(NoTrendData, TrendData, arbitrary_1d_data):
# check with no trend data
NoTrendRes = mk.yue_wang_modification_test(NoTrendData)
assert NoTrendRes.trend == 'no trend'
assert NoTrendRes.h == False
assert NoTrendRes.p == 1.0
assert NoTrendRes.z == 0
assert NoTrendRes.Tau == 0.0
assert NoTrendRes.s == 0.0
# check with trendy data
TrendRes = mk.yue_wang_modification_test(TrendData)
assert TrendRes.trend == 'increasing'
assert TrendRes.h == True
assert TrendRes.p == 0.0
assert TrendRes.Tau == 1.0
assert TrendRes.s == 64620.0
# check with arbitrary data
result = mk.yue_wang_modification_test(arbitrary_1d_data)
assert result.trend == 'decreasing'
assert result.h == True
np.testing.assert_allclose(result.p, 0.008401398144858296)
np.testing.assert_allclose(result.z, -2.6354977553857504)
assert result.Tau == -0.03153167653875869
assert result.s == -1959.0
np.testing.assert_allclose(result.var_s, 551950.4269211816)def test_yue_wang_modification_test_lag1(NoTrendData, TrendData, arbitrary_1d_data):
# check with no trend data
NoTrendRes = mk.yue_wang_modification_test(NoTrendData, lag=1)
assert NoTrendRes.trend == 'no trend'
assert NoTrendRes.h == False
assert NoTrendRes.p == 1.0
assert NoTrendRes.z == 0
assert NoTrendRes.Tau == 0.0
assert NoTrendRes.s == 0.0
# check with trendy data
TrendRes = mk.yue_wang_modification_test(TrendData, lag=1)
assert TrendRes.trend == 'increasing'
assert TrendRes.h == True
assert TrendRes.p == 0.0
assert TrendRes.Tau == 1.0
assert TrendRes.s == 64620.0
# check with arbitrary data
result = mk.yue_wang_modification_test(arbitrary_1d_data, lag=1)
assert result.trend == 'no trend'
assert result.h == False
np.testing.assert_allclose(result.p, 0.5433112864060043)
np.testing.assert_allclose(result.z, -0.6078133313683783)
assert result.Tau == -0.03153167653875869
assert result.s == -1959.0
np.testing.assert_allclose(result.var_s, 10377313.384506395)assert NoTrendRes.h == False
assert NoTrendRes.p == 1.0
assert NoTrendRes.z == 0
assert NoTrendRes.Tau == 0.0
assert NoTrendRes.s == 0.0
# check with trendy data
TrendRes = mk.yue_wang_modification_test(TrendData)
assert TrendRes.trend == 'increasing'
assert TrendRes.h == True
assert TrendRes.p == 0.0
assert TrendRes.Tau == 1.0
assert TrendRes.s == 64620.0
# check with arbitrary data
result = mk.yue_wang_modification_test(arbitrary_1d_data)
assert result.trend == 'decreasing'
assert result.h == True
np.testing.assert_allclose(result.p, 0.008401398144858296)
np.testing.assert_allclose(result.z, -2.6354977553857504)
assert result.Tau == -0.03153167653875869
assert result.s == -1959.0
np.testing.assert_allclose(result.var_s, 551950.4269211816)def test_yue_wang_modification_test_lag1(NoTrendData, TrendData, arbitrary_1d_data):
# check with no trend data
NoTrendRes = mk.yue_wang_modification_test(NoTrendData, lag=1)
assert NoTrendRes.trend == 'no trend'
assert NoTrendRes.h == False
assert NoTrendRes.p == 1.0
assert NoTrendRes.z == 0
assert NoTrendRes.Tau == 0.0
assert NoTrendRes.s == 0.0
# check with trendy data
TrendRes = mk.yue_wang_modification_test(TrendData, lag=1)
assert TrendRes.trend == 'increasing'
assert TrendRes.h == True
assert TrendRes.p == 0.0
assert TrendRes.Tau == 1.0
assert TrendRes.s == 64620.0
# check with arbitrary dataassert NoTrendRes.h == False
assert NoTrendRes.p == 1.0
assert NoTrendRes.z == 0
assert NoTrendRes.Tau == 0.0
assert NoTrendRes.s == 0.0
# check with trendy data
TrendRes = mk.yue_wang_modification_test(TrendData, lag=1)
assert TrendRes.trend == 'increasing'
assert TrendRes.h == True
assert TrendRes.p == 0.0
assert TrendRes.Tau == 1.0
assert TrendRes.s == 64620.0
# check with arbitrary data
result = mk.yue_wang_modification_test(arbitrary_1d_data, lag=1)
assert result.trend == 'no trend'
assert result.h == False
np.testing.assert_allclose(result.p, 0.5433112864060043)
np.testing.assert_allclose(result.z, -0.6078133313683783)
assert result.Tau == -0.03153167653875869
assert result.s == -1959.0
np.testing.assert_allclose(result.var_s, 10377313.384506395)pymannkendall
A python package for non-parametric Mann-Kendall family of trend tests.
Package Health Score
54 / 100Popular pymannkendall functions
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