docs: add legends and colorbars example - #18
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New examples/legends_and_colorbars.ipynb on the real Visium mouse-brain dataset (squidpy), covering the show() legend/colorbar surface that was previously undocumented: - categorical legend placement/styling: legend_loc (matplotlib locations and '* margin'), legend_fontsize/fontweight/fontoutline, legend_title - na_in_legend (with groups) and the bundled legend_params dict - continuous colorbar on/off and colorbar_params (label, orientation, loc) - a legend and a colorbar side by side in a multi-panel color=[...] figure Executed against spatialdata-plot v0.4.1; committed with outputs. Adds the examples gallery card + toctree + thumbnail. Closes the P1.1 gap from the 0.4.0/0.4.1 doc-coverage analysis.
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📖 Docs preview: https://scverse.org/spatialdata-plot-tutorials/pr-18/gallery.html Built from 0ba7a7d; redeployed on every push. |
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Summary
Adds
examples/legends_and_colorbars.ipynbdocumenting theshow()legend/colorbar surface — a large previously-undocumented API area (every coloured plot has a key).Real 10x Visium mouse-brain dataset (
squidpy.datasets.visium_hne_sdata()):spotsannotated with named-regionclusterlabels (categorical → legend) and per-spot counts (continuous → colorbar).Covers:
legend_loc(matplotlib locations and'* margin'),legend_fontsize/fontweight/fontoutline,legend_titlena_in_legend(withgroups) and the bundledlegend_paramsdictcolorbaron/off andcolorbar_params(label,orientation,loc)color=[...]figureExecuted against spatialdata-plot v0.4.1, committed with outputs. Adds the examples gallery card + toctree + thumbnail.
Part of the documentation-expansion series from the 0.4.0/0.4.1 gap analysis (P1.1).