from collections import defaultdict
from typing import Any
from typing import DefaultDict
from typing import Dict
from typing import List
from typing import Optional
from optuna.logging import get_logger
from optuna.structs import TrialState
from optuna.study import Study
from optuna.study import StudyDirection
from optuna.visualization.utils import _check_plotly_availability
from optuna.visualization.utils import is_available
if is_available():
from optuna.visualization.plotly_imports import go
logger = get_logger(__name__)
def plot_parallel_coordinate(study: Study,
params: Optional[List[str]] = None
) -> "go.Figure":
"""Plot the high-dimentional parameter relationships in a study.
Note that, If a parameter contains missing values, a trial with missing values is not plotted.
Example:
The following code snippet shows how to plot the high-dimentional parameter relationships.
def test_visualization_is_available():
# type: () -> None
assert is_available() == _is_plotly_available()
