diff --git a/examples/index.md b/examples/index.md index a3952f3..44b745b 100644 --- a/examples/index.md +++ b/examples/index.md @@ -2,28 +2,30 @@ Examples from real datasets you'd actually analyse. + ::::{grid} 1 2 2 2 :gutter: 3 :::{grid-item-card} Visium mouse brain -:link: visium_mouse_brain +:link: /notebooks/examples/visium_mouse_brain :link-type: doc -:img-top: ../_static/img/visium_mouse_brain.png +:img-top: /notebooks/_static/img/visium_mouse_brain.png Render H&E tissue, overlay spots, color by gene expression and by cluster, and finish with a publication-style figure. ::: :::{grid-item-card} Interactive region annotation -:link: interactive_annotate +:link: /notebooks/examples/interactive_annotate :link-type: doc -:img-top: ../_static/img/interactive_annotate.png +:img-top: /notebooks/_static/img/interactive_annotate.png Draw regions of interest directly on a `spatialdata-plot` canvas with `sdata.pl.annotate(...)` and persist them as a `ShapesModel` element. ::: :::: + ```{toctree} :hidden: diff --git a/tutorials/index.md b/tutorials/index.md index a31d3d3..a5553d8 100644 --- a/tutorials/index.md +++ b/tutorials/index.md @@ -2,22 +2,23 @@ Entry-point material for learning the API on synthetic data. + ::::{grid} 1 2 2 2 :gutter: 3 :::{grid-item-card} Getting started -:link: getting_started +:link: /notebooks/tutorials/getting_started :link-type: doc -:img-top: ../_static/img/getting_started.png +:img-top: /notebooks/_static/img/getting_started.png The fluent `.pl` API, layering, and styling on the in-memory `blobs` dataset. Ideal first read. ::: :::{grid-item-card} Colour and palettes -:link: color_and_palette +:link: /notebooks/tutorials/color_and_palette :link-type: doc -:img-top: ../_static/img/color_and_palette.png +:img-top: /notebooks/_static/img/color_and_palette.png How `color=` resolves, the v0.3.0 `groups` behaviour, and building perceptually well-spaced or colourblind-safe palettes with @@ -25,9 +26,9 @@ perceptually well-spaced or colourblind-safe palettes with ::: :::{grid-item-card} Speeding up rendering -:link: performance +:link: /notebooks/tutorials/performance :link-type: doc -:img-top: ../_static/img/performance.png +:img-top: /notebooks/_static/img/performance.png Keep rendering fast on large data: automatic rasterization and scale selection for images, and the `datashader` backend for large collections @@ -35,6 +36,7 @@ of shapes and points. ::: :::: + ```{toctree} :hidden: