scope_profiler.plotting_scripts.timeline
Timeline density heatmap: call-count intensity over time, per region.
Functions
| Name | Description |
|---|---|
plot_timeline_density | Plot binned region occupancy instead of individual timeline bars. |
plot_timeline_densityfunction#
def plot_timeline_density(profiling_data: ProfilingResults | Sequence[ProfilingResults], ranks: list[int] | int | None = None, include: list[str] | str | None = None, exclude: list[str] | str | None = None, filepath: str | None = None, show: bool = False, verbose: bool = True, cmap: str = 'magma', bins: int = 200, start_time: float | None = None, end_time: float | None = None, min_duration: float = 0.0, data_filepath: str | Path | None = None, data_format: str = 'csv', backend: str = 'matplotlib', return_fig: bool = False) -> object | NonePlot binned region occupancy instead of individual timeline bars.
Each cell contains the seconds of a region overlapping that time bin. This is intentionally an aggregate visualization: it remains readable when a run contains millions of short calls.