Visualizing Data#
Chart embeds a matplotlib (and seaborn) figure as a
first-class widget — one that themes itself, flips with light/dark, and
live-updates from a Signal or a data source. You draw with plain
matplotlib/seaborn; bootstack owns embedding, theming, and the redraw.
This set goes from a first plot to live dashboards, statistical charts, and real-time animation. Start at the top and work down, or jump to what you need.
The foundation — a managed render callback that themes itself, the
accent color cycle, and the figure-host escape hatch.
Bind a chart to a Signal or a DataSource so it redraws itself — and
keep a chart and a table in lockstep on one source.
Draw seaborn’s bars, boxes, and distributions onto a themed, on-brand chart — palette seeded from the theme accents.
Drive smooth, continuous motion with blitting — a live waveform or a streaming metric, at high frame rates.
See also
For the full Chart API — every option, toolbar=, animate, the
theme bridge — see the Chart widget guide. Install the
engine with the viz (or viz-seaborn) extra.