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[FEAT] Support plottinguser_attrs inplot_parallel_coordinate#6367

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Add unit tests for user_attrs support
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@WenhaoYou1
WenhaoYou1 committedNov 30, 2025
commitdb5994da87efcbedd7e1b64746aa3a5fdfb48d8b
186 changes: 186 additions & 0 deletionstests/visualization_tests/test_parallel_coordinate.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -780,3 +780,189 @@ def test_nonfinite_multiobjective(objective: int, value: float) -> None:
study, target=lambda t: t.values[objective], target_name="Target Name"
)
assert all(np.isfinite(info.dim_objective.values))


def test_get_parallel_coordinate_info_user_attrs() -> None:
study = create_study()
study.add_trial(
create_trial(
value=0.0,
params={"param_a": 1.0},
distributions={"param_a": FloatDistribution(0.0, 3.0)},
user_attrs={"user_attr_a": 10, "user_attr_b": "a"},
)
)
study.add_trial(
create_trial(
value=1.0,
params={"param_a": 2.0},
distributions={"param_a": FloatDistribution(0.0, 3.0)},
user_attrs={"user_attr_a": 20, "user_attr_b": "b"},
)
)

info = _get_parallel_coordinate_info(
study, params=["param_a", "user_attr_a", "user_attr_b"]
)

assert info == _ParallelCoordinateInfo(
dim_objective=_DimensionInfo(
label="Objective Value",
values=(0.0, 1.0),
range=(0.0, 1.0),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
dims_params=[
_DimensionInfo(
label="param_a",
values=(1.0, 2.0),
range=(1.0, 2.0),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
_DimensionInfo(
label="user_attr_a",
values=(10, 20),
range=(10, 20),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
_DimensionInfo(
label="user_attr_b",
values=(0, 1),
range=(0, 1),
is_log=False,
is_cat=True,
tickvals=[0, 1],
ticktext=["a", "b"],
),
],
reverse_scale=True,
target_name="Objective Value",
)
def test_get_parallel_coordinate_info_user_attrs_boolean() -> None:
study = create_study()
study.add_trial(
create_trial(
value=0.0,
params={"x": 1.0},
distributions={"x": FloatDistribution(0.0, 10.0)},
user_attrs={"is_valid": True},
)
)
study.add_trial(
create_trial(
value=1.0,
params={"x": 2.0},
distributions={"x": FloatDistribution(0.0, 10.0)},
user_attrs={"is_valid": False},
)
)

info = _get_parallel_coordinate_info(study, params=["x", "is_valid"])

# Trials are reordered because 'is_valid' is categorical.
# Trial 1 (False/0) comes first, then Trial 0 (True/1).
# Objective: Trial 1 (1.0), Trial 0 (0.0)
# x: Trial 1 (2.0), Trial 0 (1.0)
# is_valid: Trial 1 (0), Trial 0 (1)

assert info == _ParallelCoordinateInfo(
dim_objective=_DimensionInfo(
label="Objective Value",
values=(1.0, 0.0),
range=(0.0, 1.0),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
dims_params=[
_DimensionInfo(
label="is_valid",
values=(0, 1),
range=(0, 1),
is_log=False,
is_cat=True,
tickvals=[0, 1],
ticktext=["False", "True"],
),
_DimensionInfo(
label="x",
values=(2.0, 1.0),
range=(1.0, 2.0),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
],
reverse_scale=True,
target_name="Objective Value",
)


def test_get_parallel_coordinate_info_user_attrs_missing() -> None:
study = create_study()
# Trial with user_attr
study.add_trial(
create_trial(
value=0.0,
params={"x": 1.0},
distributions={"x": FloatDistribution(0.0, 10.0)},
user_attrs={"my_attr": 10},
)
)
# Trial WITHOUT user_attr (should be skipped)
study.add_trial(
create_trial(
value=1.0,
params={"x": 2.0},
distributions={"x": FloatDistribution(0.0, 10.0)},
user_attrs={},
)
)

info = _get_parallel_coordinate_info(study, params=["x", "my_attr"])

# Params sorted alphabetically: my_attr, x
assert info == _ParallelCoordinateInfo(
dim_objective=_DimensionInfo(
label="Objective Value",
values=(0.0,),
range=(0.0, 0.0),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
dims_params=[
_DimensionInfo(
label="my_attr",
values=(10,),
range=(10, 10),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
_DimensionInfo(
label="x",
values=(1.0,),
range=(1.0, 1.0),
is_log=False,
is_cat=False,
tickvals=[],
ticktext=[],
),
],
reverse_scale=True,
target_name="Objective Value",
)
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