Rerun

DataframeView

A view to display any data in a tabular form.

Any data from the store can be shown, using a flexibly, user-configurable query.

Properties properties

query query

Query of the dataframe.

  • timeline: The timeline for this query.
  • filter_by_range: If provided, only rows whose timestamp is within this range will be shown.
  • filter_by_event: If provided, only show rows which contains a logged event for the specified component.
  • apply_latest_at: Should empty cells be filled with latest-at queries?
  • select: Selected columns. If unset, all columns are selected.

Example example

Use a blueprint to customize a DataframeView. use-a-blueprint-to-customize-a-dataframeview

"""Use a blueprint to customize a DataframeView."""

import math

import rerun as rr
import rerun.blueprint as rrb

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

# Log some data.
rr.log("trig/sin", rr.SeriesLine(color=[255, 0, 0], name="sin(0.01t)"), static=True)
rr.log("trig/cos", rr.SeriesLine(color=[0, 255, 0], name="cos(0.01t)"), static=True)
for t in range(0, int(math.pi * 4 * 100.0)):
    rr.set_time_seconds("t", t)
    rr.log("trig/sin", rr.Scalar(math.sin(float(t) / 100.0)))
    rr.log("trig/cos", rr.Scalar(math.cos(float(t) / 100.0)))

# Create a Dataframe View
blueprint = rrb.Blueprint(
    rrb.DataframeView(
        origin="/trig",
        # TODO(#6896): improve `DataframeQueryV2` API and showcase more features
        query=rrb.archetypes.DataframeQueryV2(
            timeline="t",
            range_filter=rrb.components.RangeFilter(start=rr.TimeInt(seconds=0), end=rr.TimeInt(seconds=20)),
        ),
    ),
)

rr.send_blueprint(blueprint)

Visualized archetypes visualized-archetypes

Any data can be displayed by the Dataframe view.

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