Installation

pip install plotpress            # SVG + interactive HTML + PNG/PDF export
pip install plotpress[full]      # + every real end-user feature (viewers + xarray)
pip install plotpress[contrib]   # + everything a contributor needs

The standard install covers all file output – SVG, interactive HTML, PNG and vector PDF – with pure-wheel dependencies (NumPy, Pillow, svglib, reportlab) that install everywhere: servers, CI and notebooks. [full] is likely what you want if you’re reaching for more than that at all; pick one of the narrower extras below instead only when the weight of the others ([qt]’s PyQt6 stack in particular) matters.

Individual extras

Every extra below also stays installable on its own, or combined in one command (pip install plotpress[gui,xarray]), for anyone who wants less than the full bundle. [viewers] bundles the first three; [full] adds [xarray] on top of that – every real end-user feature in one command:

Extra	Adds
`[gui]`	`fig.show()` native window via pywebview / WebView2
`[qt]`	embed an interactive figure in a PyQt/PySide app (`fig.show_qt()`)
`[jupyter]`	`show_in_jupyter()`: the interactive toolbar embedded inline in a notebook
`[xarray]`	`load_data_xarray()`: recovered grid data as one labeled `xarray.Dataset`

[contrib] similarly bundles the four extras below – everything needed to run the full test suite, benchmarks, and build the docs, in one command:

Extra	Adds
`[dev]`	pytest (run the test suite)
`[browser]`	point-picking’s end-to-end tests (drive the interactive HTML in a real, headless browser)
`[bench]`	matplotlib, seaborn, plotly (the benchmark comparison and cross-library parity tests)
`[docs]`	Sphinx + the gallery-building toolchain (build `docs/` locally)

Only the native fig.show() window needs the [gui] extra, because it pulls a desktop webview stack (pythonnet on Windows, pyobjc on macOS, system GTK/WebKit on Linux). Without it, fig.show() falls back to opening the figure in the default browser. [qt], [xarray], and [jupyter] are each similarly narrow: only the one named feature needs the extra dependency, and everything else in plotpress works without it.