def test_get_distinct_l_with_nulls(self):
iris = pd.read_csv("data/iris.csv")
iris = iris.append(pd.DataFrame([[1, 1, None, 1, "Iris-Test"],
[1, 1, None, 1, "Iris-Test"],
[1, 1, 2, 1, "Iris-Test"]],
columns=iris.columns.values))
l_diversity = get_l(iris, groupby=['Name'], column='PetalLength')
self.assertEqual(l_diversity, 3)
def test_get_distinct_l_with_nulls(self):
iris = pd.read_csv("data/iris.csv")
iris = iris.append(
pd.DataFrame(
[[1, 1, None, 1, "Iris-Test"], [1, 1, None, 1, "Iris-Test"],
[1, 1, 2, 1, "Iris-Test"]],
columns=iris.columns.values))
l_diversity = get_l(iris, groupby=['Name'], column='PetalLength')
self.assertEqual(l_diversity, 3)
def test_get_distinct_l(self):
iris = pd.read_csv("data/iris.csv")
l_diversity = get_l(iris, groupby=['Name'], column='PetalLength')
self.assertEqual(l_diversity, 9)
def get_l(self):
return get_l(self.df, self.identifiant, self.sensible)
def test_get_distinct_l(self):
iris = pd.read_csv("data/iris.csv")
l_diversity = get_l(iris, groupby=['Name'], column='PetalLength')
self.assertEqual(l_diversity, 9)
def get_l(self):
return get_l(self.df, self.identifiant, self.sensible)
