module moplayground.utils.plotting

---

function plot_mo_progress

plot_mo_progress(
    num_steps: int,
    metrics: dict,
    training_data: moplayground.utils.plotting.MOTrainingPlottingInfo,
    save_dir: pathlib.Path,
    run: wandb.sdk.wandb_run.Run = None
)

---

function default_coloring

default_coloring(tradeoff)

---

function plot_pareto

plot_pareto(
    ax: matplotlib.axes._axes.Axes,
    pareto: numpy.ndarray,
    colors: str | numpy.ndarray = None,
    objective: list[str] = None,
    connect: bool = False,
    show_dominated: bool = True,
    nondominated_alpha: float = 1.0,
    dominated_alpha: float = 1.0,
    nondominated_s: int = 20,
    dominated_s: int = 8,
    outline_nondominated: float = 0.0,
    label: str = None,
    set_lims: bool = True,
    label_fontsize: int = 16,
    special_idxs: numpy.ndarray = None,
    special_marker: str = '*',
    connect_line_color: str | numpy.ndarray = 'black',
    **plot_kwargs
)

Plot a pareto frontier.

colors is a single matplotlib color or per-point color. RGB(A) label names the front in the legend; set_lims zooms to the nondominated front.

---

function plot_sequential_paretos

plot_sequential_paretos(
    ax_titles: list[str],
    paretos: numpy.ndarray,
    directives: numpy.ndarray = None,
    objectives: list[str] = None
)

---

function plot_sequential_hypervolume

plot_sequential_hypervolume(
    iterations: list[int] | numpy.ndarray,
    paretos: numpy.ndarray
)

---

class MOTrainingPlottingInfo

MOTrainingPlottingInfo(start_time: float, times: list = , iterations: list = , paretos: list = , directives: list = , labels: list = , hypervolumes: list = , sparsities: list = )

method MOTrainingPlottingInfo.__init__

__init__(
    start_time: float,
    times: list = <factory>,
    iterations: list = <factory>,
    paretos: list = <factory>,
    directives: list = <factory>,
    labels: list = <factory>,
    hypervolumes: list = <factory>,
    sparsities: list = <factory>
) → None

---

method MOTrainingPlottingInfo.save

save(save_dir, create_time=True)