Several layers in one plot¶

Each events() call adds a layer. Layers share the lanes, the time axis and the Order scale, so their events line up.

import polars as pl
from anytimeline import Timeline
from anytimeline.synthetic import service_log

log = pl.DataFrame(service_log(300))
plot = Timeline(lane_order=["gateway", "auth", "api", "cache", "db"], height=260)
plot.events(log, time="time", lane="service", color="#c3cad3", size=6, name="all events")
plot.events(
    log.filter(pl.col("level") != "info"),
    time="time",
    lane="service",
    color="level",
    symbol="x",
    size=11,
    name="problems",
    palette={"warning": "#f58518", "error": "#e45756"},
)
print(plot._embed_html())

• Layers are drawn in the order you add them: later layers on top.
• name= names a layer (default "events"). Adding a layer with an existing name replaces that layer: call events() again with new data to update a plot that is already shown.
• plot.layers lists them; plot.remove("problems") removes one, plot.clear() all.
• The selection is per layer: plot.selection == {"problems": [3, 17]}.
• All layers need times of one kind (all datetimes, all durations or all numbers), or none (order only).