def setUp(self):
cols = [
"MgO",
"SiO2",
"CaO",
"FeO",
"Ti",
"Hf",
"Zr",
"H2O",
] + pyrolite.geochem.REE()
self.df = test_df(index_length=4, cols=cols)
self.df = renormalise(self.df)
def setUp(self):
cols = [
"MgO",
"SiO2",
"CaO",
"FeO",
"Ti",
"Hf",
"Zr",
"H2O",
"Sr87_Sr86",
"87Sr/86Sr",
"87Sr/86Sri",
] + pyrolite.geochem.REE()
self.df = normal_frame(size=4, columns=cols)
self.df = renormalise(self.df)
def test_classifer_classify(self):
df = self.df
df = renormalise(df)
cm = Geochemistry.peralkalinity(rebuild=True)
df.loc[:, "Peralk"] = cm.classify(df)
def test_classifer_classify(self):
df = self.df
df = renormalise(df)
cm = Geochemistry.TAS(rebuild=True)
df.loc[:, "TAS"] = cm.classify(df)