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Merge pull request #4470 from eukaryo/plotly-timeline-plot
Add timeline plot with plotly as backend
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Original file line number | Diff line number | Diff line change |
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from __future__ import annotations | ||
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import datetime | ||
from typing import NamedTuple | ||
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from optuna._experimental import experimental_func | ||
from optuna.logging import get_logger | ||
from optuna.study import Study | ||
from optuna.trial import TrialState | ||
from optuna.visualization._plotly_imports import _imports | ||
from optuna.visualization._utils import _make_hovertext | ||
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if _imports.is_successful(): | ||
from optuna.visualization._plotly_imports import go | ||
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_logger = get_logger(__name__) | ||
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class _TimelineBarInfo(NamedTuple): | ||
number: int | ||
start: datetime.datetime | ||
complete: datetime.datetime | ||
state: TrialState | ||
hovertext: str | ||
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class _TimelineInfo(NamedTuple): | ||
bars: list[_TimelineBarInfo] | ||
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@experimental_func("3.2.0") | ||
def plot_timeline(study: Study) -> "go.Figure": | ||
"""Plot the timeline of a study. | ||
Example: | ||
The following code snippet shows how to plot the timeline of a study. | ||
Timeline plot can visualize trials with overlapping execution time | ||
(e.g., in distributed environments). | ||
.. plotly:: | ||
import time | ||
import optuna | ||
def objective(trial): | ||
x = trial.suggest_float("x", 0, 1) | ||
time.sleep(x * 0.1) | ||
if x > 0.8: | ||
raise ValueError() | ||
if x > 0.4: | ||
raise optuna.TrialPruned() | ||
return x ** 2 | ||
study = optuna.create_study(direction="minimize") | ||
study.optimize( | ||
objective, n_trials=50, n_jobs=2, catch=(ValueError,) | ||
) | ||
fig = optuna.visualization.plot_timeline(study) | ||
fig.show() | ||
Args: | ||
study: | ||
A :class:`~optuna.study.Study` object whose trials are plotted with | ||
their lifetime. | ||
Returns: | ||
A :class:`plotly.graph_objs.Figure` object. | ||
""" | ||
_imports.check() | ||
info = _get_timeline_info(study) | ||
return _get_timeline_plot(info) | ||
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def _get_timeline_info(study: Study) -> _TimelineInfo: | ||
bars = [] | ||
for t in study.get_trials(): | ||
date_complete = t.datetime_complete or datetime.datetime.now() | ||
date_start = t.datetime_start or date_complete | ||
if date_complete < date_start: | ||
_logger.warning( | ||
( | ||
f"The start and end times for Trial {t.number} seem to be reversed. " | ||
f"The start time is {date_start} and the end time is {date_complete}." | ||
) | ||
) | ||
bars.append( | ||
_TimelineBarInfo( | ||
number=t.number, | ||
start=date_start, | ||
complete=date_complete, | ||
state=t.state, | ||
hovertext=_make_hovertext(t), | ||
) | ||
) | ||
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if len(bars) == 0: | ||
_logger.warning("Your study does not have any trials.") | ||
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return _TimelineInfo(bars) | ||
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def _get_timeline_plot(info: _TimelineInfo) -> "go.Figure": | ||
_cm = { | ||
"COMPLETE": "blue", | ||
"FAIL": "red", | ||
"PRUNED": "orange", | ||
"RUNNING": "green", | ||
"WAITING": "gray", | ||
} | ||
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fig = go.Figure() | ||
for s in sorted(TrialState, key=lambda x: x.name): | ||
bars = [b for b in info.bars if b.state == s] | ||
if len(bars) == 0: | ||
continue | ||
fig.add_trace( | ||
go.Bar( | ||
name=s.name, | ||
x=[(b.complete - b.start).total_seconds() * 1000 for b in bars], | ||
y=[b.number for b in bars], | ||
base=[b.start.isoformat() for b in bars], | ||
text=[b.hovertext for b in bars], | ||
hovertemplate="%{text}<extra>" + s.name + "</extra>", | ||
orientation="h", | ||
marker=dict(color=_cm[s.name]), | ||
textposition="none", # Avoid drawing hovertext in a bar. | ||
) | ||
) | ||
fig.update_xaxes(type="date") | ||
fig.update_layout( | ||
go.Layout( | ||
title="Timeline Plot", | ||
xaxis={"title": "Datetime"}, | ||
yaxis={"title": "Trial"}, | ||
) | ||
) | ||
return fig |
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