Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Figurestead

Experimental scientific figures for Python: line, scatter, histogram, strip-summary and heatmap figures with explicit labels and themes.

Python 0.9.0a6

Requires Python >=3.10, Matplotlib >=3.7, NumPy >=1.24 and Pillow >=10. Preparation candidate: the command below is for this version after publication. For the currently published release, use Python 0.9.0a5. To review now, install the exact retained candidate wheel or sdist. In a fresh virtual environment:

python -m pip install figurestead==0.9.0a6
from figurestead import PlotSpec, line, save_figure

figure, axes = line(
    [0, 1, 2], [[0, 1, 0]],
    theme="lavender_fog_notebook",
    spec=PlotSpec(title="Synthetic response", xlabel="Time (s)",
                  ylabel="Response (a.u.)", note="Synthetic example; not measurements."),
)
save_figure(figure, "response.png", dpi=150)
save_figure(figure, "response.svg")

The destination directory must exist. save_figure stages and replaces a single output file only after a successful save. Rendering errors propagate and leave an existing destination unchanged. For streams or intentionally external SVG images, use Matplotlib's figure.savefig and manage those outputs directly.

Carried forward from a5: measured note and sample-count placement, warnings when explicit histogram edges exclude observations, and optional signatures fitted only where there is measured spare space. Callers supplying axes own their margins; an insufficient source-note footer raises sizing guidance. See the frozen layout and export contract for the behavior incorporated into this version.

Numeric NaN/infinity category identities reject before string coercion; literal string labels remain valid. Appended labeled lines retain truthful accumulated legends; anonymous scatter/strip layers do not acquire scientific labels.

New in the a6 candidate: opt-in monotone interpolation preserves each interval's endpoint bounds; ordinary line drawing limits marker-protection work to nearby candidates while preserving marker interiors and continuous authored rhythm. The categorical-matrix extension measures all required decorations, including rotated labels and the status legend after native colorbar removal. Insufficient space raises sizing guidance rather than silently exporting clipped content. These repairs do not change observations, normalization, palette values or the bounded line-identity profile. Performance gains depend on geometry and density. The auxiliary compile_terminal_scene rejects unsupported contracts rather than silently claiming fidelity; it remains finite-only and is not NaN-gap transport.

Inspect exports at their intended size. Shared Python/browser semantics do not imply identical pixels or matching renderer coverage. Reference themes have a bounded three-series line designation, not universal accessibility or physical print qualification.

Line behavior and limits · Source · Issue tracker

MIT licensed.

Metadata

Release files for figurestead 0.9.0a6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for figurestead 0.9.0a6
File Size Uploaded Provenance
figurestead-0.9.0a6.tar.gz 478.9 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for figurestead 0.9.0a6
File Interpreter ABI Platform
figurestead-0.9.0a6-py3-none-any.whl Python 3 none any Details

Total release size: 584.6 kB

Release files / figurestead-0.9.0a6.tar.gz

Download URL figurestead-0.9.0a6.tar.gz
Size 478.9 kB
Tags Source
SHA-256 checksum
How to use checksums
a1c6226df334c23f4dc8c005e0119e440a7429a7fe61d7af43730a6c4172d565
BLAKE2b-256 checksum
How to use checksums
c58a1a7922630d91ddd586e5da5b9da3fa19eb73285e8a59b10c33c9db2f6e53
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

Release files / figurestead-0.9.0a6-py3-none-any.whl

Download URL figurestead-0.9.0a6-py3-none-any.whl
Size 105.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f2bf81b9a8fbfc4a55b718fbb528e83aa9516d3535458f54cb6dfe9a89657466
BLAKE2b-256 checksum
How to use checksums
7aafaa40490c8b86e1fff47d17b41a7eac7055f408ea069921ec85845a43a588
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

Security for figurestead 0.9.0a6

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for figurestead-0.9.0a6.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page