def test_log_base_10_plus_user_passes_var_list(df_vartypes):
# test case 2: log base 10, user passes variables
transformer = LogTransformer(base="10", variables="Age")
X = transformer.fit_transform(df_vartypes)
# expected output
transf_df = df_vartypes.copy()
transf_df["Age"] = [1.30103, 1.32222, 1.27875, 1.25527]
# test init params
assert transformer.base == "10"
assert transformer.variables == "Age"
# test fit attr
assert transformer.variables_ == ["Age"]
assert transformer.n_features_in_ == 5
# test transform output
pd.testing.assert_frame_equal(X, transf_df)
# test inverse_transform
Xit = transformer.inverse_transform(X)
# convert numbers to original format.
Xit["Age"] = Xit["Age"].round().astype("int64")
# test
pd.testing.assert_frame_equal(Xit, df_vartypes)
def test_log_base_e_plus_automatically_find_variables(df_vartypes):
# test case 1: log base e, automatically select variables
transformer = LogTransformer(base="e", variables=None)
X = transformer.fit_transform(df_vartypes)
# expected output
transf_df = df_vartypes.copy()
transf_df["Age"] = [2.99573, 3.04452, 2.94444, 2.89037]
transf_df["Marks"] = [-0.105361, -0.223144, -0.356675, -0.510826]
# test init params
assert transformer.base == "e"
assert transformer.variables is None
# test fit attr
assert transformer.variables_ == ["Age", "Marks"]
assert transformer.n_features_in_ == 5
# test transform output
pd.testing.assert_frame_equal(X, transf_df)
# test inverse_transform
Xit = transformer.inverse_transform(X)
# convert numbers to original format.
Xit["Age"] = Xit["Age"].round().astype("int64")
Xit["Marks"] = Xit["Marks"].round(1)
# test
pd.testing.assert_frame_equal(Xit, df_vartypes)
def test_inverse_e_plus_user_passes_var_list(df_vartypes):
# test case 7: inverse log, user passes variables
transformer = LogTransformer(variables="Age")
Xt = transformer.fit_transform(df_vartypes)
X = transformer.inverse_transform(Xt)
# convert floats to int
X["Age"] = X["Age"].round().astype("int64")
# test init params
assert transformer.base == "e"
assert transformer.variables == "Age"
# test fit attr
assert transformer.variables_ == ["Age"]
assert transformer.n_features_in_ == 5
# test transform output
pd.testing.assert_frame_equal(X, df_vartypes)