Python get_pvalues Examples

Example #1

File: test_mww.py Project: GoFroggyRun/mousestyles

def test_pvalues_type():
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (type(cor) == np.ndarray)

Example #2

File: test_mww.py Project: GoFroggyRun/mousestyles

def test_pvalues_similarity():
    # test p values for close distributions
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (cor[0, 0] > 0.95 and cor[1, 1] > 0.95)

Example #3

File: test_mww.py Project: GoFroggyRun/mousestyles

def test_pvalues_difference():
    # test p values for very different distributions
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (cor[0, 1] < 0.05)

Example #4

File: test_mww.py Project: GoFroggyRun/mousestyles

def test_pvalues_size():
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (cor.size == 4)

Example #5

File: test_mww.py Project: boyinggong/mousestyles

def test_pvalues_type():
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (type(cor) == np.ndarray)

Example #6

File: test_mww.py Project: boyinggong/mousestyles

def test_pvalues_difference():
    # test p values for very different distributions
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (cor[0, 1] < 0.05)

Example #7

File: test_mww.py Project: boyinggong/mousestyles

def test_pvalues_similarity():
    # test p values for close distributions
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (cor[0, 0] > 0.95 and cor[1, 1] > 0.95)

Example #8

File: test_mww.py Project: boyinggong/mousestyles

def test_pvalues_size():
    poisson = np.random.poisson(2, size=100)
    normal = np.random.normal(loc=10, scale=2, size=50)
    cor = get_pvalues([poisson, normal])
    assert (cor.size == 4)