def test_super_transform_call(self, mocker):
"""Test the call to BaseMappingTransformer.transform."""
df = d.create_df_1()
mapping = {
"b": {
"a": 1.1,
"b": 1.2,
"c": 1.3,
"d": 1.4,
"e": 1.5,
"f": 1.6
}
}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="a")
expected_call_args = {0: {"args": (d.create_df_1(), ), "kwargs": {}}}
with h.assert_function_call(
mocker,
tubular.base.BaseTransformer,
"transform",
expected_call_args,
return_value=d.create_df_1(),
):
x.transform(df)
def test_super_init_called(self, mocker):
"""Test that init calls BaseMappingTransformer.init."""
expected_call_args = {
0: {
"args": (),
"kwargs": {
"mappings": {
"a": {
"a": 1
}
},
"verbose": True,
"copy": True,
},
}
}
with h.assert_function_call(
mocker,
tubular.mapping.BaseMappingTransformer,
"__init__",
expected_call_args,
):
CrossColumnAddTransformer(mappings={"a": {
"a": 1
}},
adjust_column="b",
verbose=True,
copy=True)
def test_mappings_unchanged(self):
"""Test that mappings is unchanged in transform."""
df = d.create_df_1()
mapping = {
"b": {
"a": 1.1,
"b": 1.2,
"c": 1.3,
"d": 1.4,
"e": 1.5,
"f": 1.6
}
}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="a")
x.transform(df)
h.assert_equal_dispatch(
expected=mapping,
actual=x.mappings,
msg=
"CrossColumnAddTransformer.transform has changed self.mappings unexpectedly",
)
def test_mapping_values_not_numeric_error(self):
"""Test that an exception is raised if mappings values are not numeric."""
with pytest.raises(TypeError, match="mapping values must be numeric"):
CrossColumnAddTransformer(mappings={"a": {
"a": "b"
}},
adjust_column="b")
def test_inheritance(self):
"""Test that CrossColumnAddTransformer inherits from BaseMappingTransformer."""
x = CrossColumnAddTransformer(mappings={"a": {
"a": 1
}},
adjust_column="b")
h.assert_inheritance(x, tubular.mapping.BaseMappingTransformer)
def test_adjust_columns_non_string_error(self):
"""Test that an exception is raised if adjust_column is not a string."""
with pytest.raises(TypeError,
match="adjust_column should be a string"):
CrossColumnAddTransformer(mappings={"a": {
"a": 1
}},
adjust_column=1)
def test_class_methods(self):
"""Test that CrossColumnAddTransformer has transform method."""
x = CrossColumnAddTransformer(mappings={"a": {
"a": 1
}},
adjust_column="b")
h.test_object_method(obj=x,
expected_method="transform",
msg="transform")
def test_multiple_mappings_expected_output(self, df, expected):
"""Test that mappings by multiple columns are both applied in transform"""
mapping = {"b": {"a": 1.1, "f": 1.2}, "c": {"a": 2, "e": 3}}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="a")
df_transformed = x.transform(df)
h.assert_frame_equal_msg(
actual=df_transformed,
expected=expected,
msg_tag="expected output from cross column add transformer",
)
def test_non_specified_values_unchanged(self, df, expected):
"""Test that values not specified in mappings are left unchanged in transform."""
mapping = {"b": {"a": 1.1, "b": 1.2}}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="a")
df_transformed = x.transform(df)
h.assert_frame_equal_msg(
actual=df_transformed,
expected=expected,
msg_tag="expected output from cross column add transformer",
)
def test_adjust_column_set_to_attribute(self):
"""Test that the value passed for adjust_column is saved in an attribute of the same name."""
value = "b"
x = CrossColumnAddTransformer(mappings={"a": {
"a": 1
}},
adjust_column=value)
h.test_object_attributes(
obj=x,
expected_attributes={"adjust_column": value},
msg="Attributes for CrossColumnAddTransformer set in init",
)
def test_adjust_col_not_in_x_error(self):
"""Test that an exception is raised if the adjust_column is not present in the dataframe."""
df = d.create_df_1()
mapping = {
"b": {
"a": 1.1,
"b": 1.2,
"c": 1.3,
"d": 1.4,
"e": 1.5,
"f": 1.6
}
}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="c")
with pytest.raises(ValueError, match="variable c is not in X"):
x.transform(df)
def test_adjust_col_not_numeric_error(self):
"""Test that an exception is raised if the adjust_column is not numeric."""
df = d.create_df_2()
mapping = {
"b": {
"a": 1.1,
"b": 1.2,
"c": 1.3,
"d": 1.4,
"e": 1.5,
"f": 1.6
}
}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="c")
with pytest.raises(TypeError,
match="variable c must have numeric dtype."):
x.transform(df)
def test_expected_output(self, df, expected):
"""Test that transform is giving the expected output."""
mapping = {
"b": {
"a": 1.1,
"b": 1.2,
"c": 1.3,
"d": 1.4,
"e": 1.5,
"f": 1.6
}
}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="a")
df_transformed = x.transform(df)
h.assert_frame_equal_msg(
actual=df_transformed,
expected=expected,
msg_tag="expected output from cross column add transformer",
)
def test_check_is_fitted_call(self, mocker):
"""Test the call to check_is_fitted."""
df = d.create_df_1()
mapping = {
"b": {
"a": 1.1,
"b": 1.2,
"c": 1.3,
"d": 1.4,
"e": 1.5,
"f": 1.6
}
}
x = CrossColumnAddTransformer(mappings=mapping, adjust_column="a")
expected_call_args = {0: {"args": (["adjust_column"], ), "kwargs": {}}}
with h.assert_function_call(mocker, tubular.base.BaseTransformer,
"check_is_fitted", expected_call_args):
x.transform(df)