def test_find_mean_value(self):
slope_list = [
mm.slope(alder_dataframe, kontantpris_dataframe),
mm.slope(grundareal_dataframe, kontantpris_dataframe),
mm.slope(boligareal_dataframe, kontantpris_dataframe),
mm.slope(liggetid_dataframe, kontantpris_dataframe)
]
mean = mm.mean(slope_list)
self.assertEqual(-5104, math.ceil(mean))
def test_find_maximum_standardised_slope(self):
dataframe_slopes = pd.DataFrame([
mm.slope(alder_dataframe, kontantpris_dataframe),
mm.slope(grundareal_dataframe, kontantpris_dataframe),
mm.slope(boligareal_dataframe, kontantpris_dataframe),
mm.slope(liggetid_dataframe, kontantpris_dataframe)
], ["Alder", "Grundareal", "Boligareal", "Liggetid"], ["Hældninger"])
dataframe_standardised_slopes = mm.standardisation(dataframe_slopes)
a_max, a_max_variable = mm.find_max(dataframe_standardised_slopes)
self.assertEqual(-242, round(a_max))
self.assertEqual("Alder", a_max_variable)
def test_find_deviations(self):
slope_list = [
mm.slope(alder_dataframe, kontantpris_dataframe),
mm.slope(grundareal_dataframe, kontantpris_dataframe),
mm.slope(boligareal_dataframe, kontantpris_dataframe),
mm.slope(liggetid_dataframe, kontantpris_dataframe)
]
deviation, deviantion_minus = mm.standard_deviation(slope_list)
self.assertEqual(121, math.ceil(deviation))
self.assertEqual(-121, math.floor(deviantion_minus))
def test_find_slopes(self):
slope1 = mm.slope(alder_dataframe, kontantpris_dataframe)
self.assertEqual(-34344, math.ceil(slope1))
slope2 = mm.slope(grundareal_dataframe, kontantpris_dataframe)
self.assertEqual(-436, math.ceil(slope2))
slope3 = mm.slope(boligareal_dataframe, kontantpris_dataframe)
self.assertEqual(17132, math.ceil(slope3))
slope4 = mm.slope(liggetid_dataframe, kontantpris_dataframe)
self.assertEqual(-2767, math.ceil(slope4))
def test_find_a_1(self):
dataframe_slopes = pd.DataFrame([
mm.slope(alder_dataframe, kontantpris_dataframe),
mm.slope(grundareal_dataframe, kontantpris_dataframe),
mm.slope(boligareal_dataframe, kontantpris_dataframe),
mm.slope(liggetid_dataframe, kontantpris_dataframe)
], ["Alder", "Grundareal", "Boligareal", "Liggetid"], ["Hældninger"])
_, a_lister = mm.residual(subset, dataframe_slopes)
a_1 = pd.DataFrame(data=[
1765701.0, 2418247.0, 2006113.0, 563644.0, 3517271.0, 3139482.0,
1662668.0, 2109146.0, 3517271.0, 2040457.0
],
columns=["Alder"])
test = a_1.loc[:, "Alder"]
self.assertTrue(test.equals(a_lister["a_1"].round()))
def test_find_standardisation_of_slope(self):
dataframe_slopes = pd.DataFrame([
mm.slope(alder_dataframe, kontantpris_dataframe),
mm.slope(grundareal_dataframe, kontantpris_dataframe),
mm.slope(boligareal_dataframe, kontantpris_dataframe),
mm.slope(liggetid_dataframe, kontantpris_dataframe)
], ["Alder", "Grundareal", "Boligareal", "Liggetid"], ["Hældninger"])
dataframe_standardised_slopes = mm.standardisation(dataframe_slopes)
self.assertEqual(
-242, round(dataframe_standardised_slopes.at["Alder",
"Hældninger"]))
self.assertEqual(
39,
round(dataframe_standardised_slopes.at["Grundareal",
"Hældninger"]))
self.assertEqual(
184,
round(dataframe_standardised_slopes.at["Boligareal",
"Hældninger"]))
self.assertEqual(
19,
round(dataframe_standardised_slopes.at["Liggetid", "Hældninger"]))