def test_signficance_of_relationship_lm(monkeypatch):
monkeypatch.setattr(Processor,
'dimension_value_frame',
mock_dim_value_frame)
mock_data = mock_dim_value_frame(None, None, None)
exp_arr_1 = mock_data['dimension_as_num']
exp_arr_2 = mock_data['value']
exp = linregress(exp_arr_1, exp_arr_2)[3]
p = Processor()
a = Analyzer(processor=p)
p_val = a.significance_of_relationship('D1', 'Q1', 'linearmodel')
assert p_val == exp
def test_signficance_of_relationship(monkeypatch):
monkeypatch.setattr(Processor,
'dimension_value_frame',
mock_dim_value_frame)
mock_data = mock_dim_value_frame(None, None, None)
exp_arr_1 = mock_data.ix[mock_data.dimension == 'D1', 'value']
exp_arr_2 = mock_data.ix[mock_data.dimension == 'D2', 'value']
exp = kruskalwallis(exp_arr_1, exp_arr_2)[1]
p = Processor()
a = Analyzer(processor=p)
p_val = a.significance_of_relationship('D1', 'Q1', 'kruskalwallis')
assert p_val == exp
