Chart Studio

Upload your own data (CSV, TSV, or JSON), choose what to plot, layer on statistics, multilabel tables, and annotations, tune the theme - and get a live dysonsphere chart plus the exact Python that reproduces it. Everything runs in your browser via WebAssembly (Pyodide); your data never leaves the page.

When the builder’s controls run out, press Edit as code: the generated snippet opens in a live editor where you can keep composing with the full library - the same runtime executes whatever you write, and your uploaded file stays available under its own filename. Every example in the guides has an Open in studio link that lands here too.

You can also import a figure saved by ds.save(): a Vega-Lite JSON export rebuilds the chart right here through ds.load() (theme and all), and JSON, SVG, and PNG exports read back their embedded provenance, statistics, and report via ds.read().

The controls render instantly; the chart appears once the Python runtime finishes loading (a few seconds on first visit, then cached). It starts on the classic cars dataset - drop in a file of your own, or pick another sample.

Data

Import an export

Drop a file saved by ds.save(): a JSON rebuilds the chart via ds.load(); JSON, SVG, and PNG all read their embedded metadata back (shown below the chart).

Chart

Mean error bars

Statistics

Verbose readout

Multilabel

Attach multilabel table

Rows - one per line, Label: +,-,+ Sample size row (n =) Category labels

Annotations

Reference line (y) Line label Text annotation

Shade y from to

Shade alternating bands

Theme

Width Height

Axis offset X label angle

Legend Closed frame Grid lines Rounded marks

Chart Loading runtime…

PythonEdit as codeCopy

Note

The copied Python runs unchanged in your notebook - it reads your file with pl.read_csv(...), computes statistics with scipy, and draws everything through Altair. See the statistical annotations guide for what the tests report, and saving & reading for exporting figures with embedded provenance.