Rerun

SeriesPoints

Define the style properties for one or more point series (scatter plot) in a chart.

This archetype only provides styling information. Changes over time are supported for most but not all its fields (see respective fields for details), it's generally recommended to log this type as static.

The underlying data needs to be logged to the same entity-path using archetypes.Scalars. Dimensionality of the scalar arrays logged at each time point is assumed to be the same over time.

Fields fields

Optional optional

Can be shown in can-be-shown-in

Example example

Point series point-series

"""Log a scalar over time."""

from math import cos, sin, tau

import rerun as rr

rr.init("rerun_example_series_point_style", spawn=True)

# Set up plot styling:
# They are logged as static as they don't change over time and apply to all timelines.
# Log two point series under a shared root so that they show in the same plot by default.
rr.log(
    "trig/sin",
    rr.SeriesPoints(
        colors=[255, 0, 0],
        names="sin(0.01t)",
        markers="circle",
        marker_sizes=4,
    ),
    static=True,
)
rr.log(
    "trig/cos",
    rr.SeriesPoints(
        colors=[0, 255, 0],
        names="cos(0.01t)",
        markers="cross",
        marker_sizes=2,
    ),
    static=True,
)


# Log the data on a timeline called "step".
for t in range(int(tau * 2 * 10.0)):
    rr.set_time("step", sequence=t)

    rr.log("trig/sin", rr.Scalars(sin(float(t) / 10.0)))
    rr.log("trig/cos", rr.Scalars(cos(float(t) / 10.0)))
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