def plot_tasks_forks(self, target_cpus: TypedList[CPU]=None, window: float=0.01, per_sec: bool=False,
axis=None, local_fig=None):
"""
Plot task forks over time
:param target_cpus:
:type target_cpus:
:param window: The rolling window size for fork counts.
:type window: float
:param per_sec: Display wakeups per second if True, else wakeup counts
within the window
:type per_sec: bool
"""
df = self.trace.df_event("sched_wakeup_new")
if target_cpus:
df = df[df.target_cpu.isin(target_cpus)]
series = series_rolling_apply(df["target_cpu"],
lambda x: x.count() / (window if per_sec else 1),
window, window_float_index=False, center=True)
series = series_refit_index(series, window=self.trace.window)
series.plot(ax=axis, legend=False)
if per_sec:
axis.set_title("Number of task forks per second ({}s windows)".format(window))
else:
axis.set_title("Number of task forks within {}s windows".format(window))
def _plot_tasks_X(self, event, name, target_cpus, window, per_sec):
df = self.trace.df_event(event)
if target_cpus:
df = df[df['target_cpu'].isin(target_cpus)]
series = series_rolling_apply(
df["target_cpu"],
lambda x: x.count() / (window if per_sec else 1),
window,
window_float_index=False,
center=True
)
if per_sec:
label = f"Number of task {name} per second ({window}s windows)"
else:
label = f"Number of task {name} within {window}s windows"
series = series_refit_index(series, window=self.trace.window)
series.name = name
return plot_signal(series, name=label)