fix(logo): reconstruct hex bottom point; add plotly to description#10
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- The logo's bottom hexagon vertex was cropped in the source image (the opaque region ran flat to the frame edge instead of converging). Extend the canvas and continue the navy border to a symmetric bottom point. - pyproject: package description now mentions the dual-engine plotly/plotnine plots. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog
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Pulls the fixed logo from the PR #10 branch so this docs branch doesn't ship the old bottom-cropped hex regardless of PR merge order. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog
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* docs: add example-rich getting-started, task guides, datasets, and R map Expand the documentation from a single API page into an accessible, example-first site (informed by top Python docs and the R moderndive pkgdown site): - Rewritten landing page: value proposition, feature list, install (+ image extra), and a 30-second worked example. - getting-started: an end-to-end first analysis. - Task guides with runnable, verified examples (dual-engine plots throughout): sampling, bootstrapping & confidence intervals, hypothesis testing, regression (incl. per-facet coefficient shading and the model plots), theory-based inference, and a plotting/engines guide. - datasets: a thematic tour of all 58 bundled datasets. - coming-from-r: a function-by-function R -> Python map for moderndive/infer users. Every code block was executed against the package to confirm it runs. Docs build clean with -W (no warnings). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * docs: use the corrected hex logo (bottom point) in the docs build Pulls the fixed logo from the PR #10 branch so this docs branch doesn't ship the old bottom-cropped hex regardless of PR merge order. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * docs: execute examples (real outputs + plots), drop promotions/mtcars Switch the docs to myst-nb so every example runs at build time and its output (DataFrames + plots) renders on the site: - conf.py: myst_nb engine; execute {code-cell} blocks; prefer static image/png over plotly's heavy interactive html; strip kernel stderr. - Plots render as static PNGs — plotnine via matplotlib, plotly via kaleido (renderer set to "png" in each page's hidden setup cell). - doc extra: add myst-nb, ipykernel, kaleido. .readthedocs.yaml installs Chrome for kaleido (>=1.0 no longer bundles it) via a post_install job. - Landing 30-second example now uses the spotify dataset (not promotions); the Coming-from-R pipeline example uses pennies (not mtcars), and its function map now lists only the genuine R->Python differences, noting the rest are identical. Every page executes cleanly in the kernel and the build is warning-free under -W. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * feat: df.specify() accessor and geom_categorical_model alias - Attach a `.specify()` method to polars and pandas DataFrames so you can write `md.load_pennies().specify(response="year")`, mirroring R's `df %>% specify(...)`. Registered on import; never overwrites an existing attribute. - Add `geom_categorical_model` as an alias of `gg_categorical_model` so both R names are available and do the same thing. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * ci: parity-drift detection against upstream moderndive/infer Add tooling to catch when the upstream R packages change in ways the Python port hasn't followed: - tools/parity_probe.R dumps upstream structure (versions, exports, dataset dims/columns) as JSON. - tools/check_parity.py compares it to the bundled datasets + a recorded manifest, reporting version bumps, added/removed exports, and missing or shape-changed datasets; exits non-zero on drift. - tools/parity_manifest.json records the reviewed upstream snapshot (provenance). - .github/workflows/parity-drift.yml runs this weekly against upstream main and opens/updates a GitHub issue on drift. - tests/test_parity_manifest.py asserts bundled moderndive/infer datasets match the manifest dims, so a bad data regeneration fails CI. - tools/README.md documents the data-refresh and parity processes. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * docs: drop promotions everywhere; add custom-statistic example - Remove the promotions dataset from all examples and the dataset catalog (we're not using it going forward): getting-started and the hypothesis-testing guide now use the MythBusters yawn experiment / spotify; coming-from-r uses pennies. - Add a worked "custom test statistic" example (a callable passed to calculate()) to the hypothesis-testing guide, bootstrapping a custom IQR. - Use the new df.specify() flow in examples; note geom_categorical_model as a same-name function in the R map. - Rebuilt HTML. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * docs: use df.specify() flow; note plots are static (plotly is interactive) - Convert examples from specify(df, ...) to df.specify(...) to mirror the R df %>% specify(...) pipeline more closely. - Add a note (landing, getting-started, plotting guide) that documentation plots are static images while the default plotly engine is interactive when run. - Rebuilt HTML. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * docs: rebuild HTML after merging main (#10) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog * style: ruff format check_parity.py and test_parity_additions.py Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017CTL1QSTg1DmDUpqYuPEog --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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Two small polish items:
Logo bottom point — the hex sticker's bottom vertex was cropped in the source image (the opaque region ran flat to the bottom frame edge instead of converging to a point like the top). Reconstructed it by extending the canvas and continuing the navy border down to a symmetric apex. The top point and all artwork are unchanged.
Package description —
pyproject.tomldescription now mentions the dual-engine plotly/plotnine plots.Docs rebuilt with the corrected logo; tests green (171, 100% coverage), ruff clean.
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