Arrange the lanes¶

lane= names the column whose values are the lanes. Without it, all events of a layer go in one lane named after the layer.

The order of the lanes¶

By default lanes are sorted by name, with numbers in names compared as numbers (w9 before w10). A Polars Enum or a pandas Categorical keeps its declared order. To choose:

Timeline(lane_order=["gateway", "auth", "api"])  # these first, in this order
Timeline(sort="first")  # by the time of each lane's first event
Timeline(sort="last")  # by the time of each lane's last event
Timeline(sort="count")  # the busiest lanes first

lane_order= and sort= work together: the lanes you name come first, the rest follow sorted.

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

log = pl.DataFrame(service_log(200))
plot = Timeline(sort="count", height=240, title="Busiest service first")
plot.events(log, time="time", lane="service", color="level")
print(plot._embed_html())

Many lanes¶

Lanes fill the plot's height. When they do not fit at their smallest (1.5 × the text size, at least 18 px), they keep that height and the plot scrolls: Shift + wheel, the arrow keys ↑ ↓, or drag up and down.

To give each lane more room, make the plot taller (Timeline(height=800)) or show it full screen.