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pr-2/_sources/notebooks/tutorials/visium_breast_cancer.ipynb

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"\n",
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"This tutorial walks through visualising a real 10x Genomics Visium experiment with `spatialdata-plot`: H&E tissue image, spot polygons, gene expression overlays, and publication-style styling.\n",
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"\n",
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"**Dataset**: [Human Breast Cancer (Block A Section 1)][10x] from 10x Genomics fetched once via `scanpy.datasets.visium_sge` and cached by `pooch` for subsequent runs.\n",
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"**Dataset**: [Human Breast Cancer (Block A Section 1)][10x] from 10x Genomics \u2014 fetched once via `scanpy.datasets.visium_sge` and cached by `pooch` for subsequent runs.\n",
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"\n",
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"**Credit**: the example progression in this tutorial H&E + spots, gene-expression overlays, outline styling was originally curated by [@asarigun](https://github.com/asarigun) in [scverse/spatialdata-plot#590](https://github.com/scverse/spatialdata-plot/pull/590).\n",
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"**Credit**: the example progression in this tutorial \u2014 H&E + spots, gene-expression overlays, outline styling \u2014 was originally curated by [@asarigun](https://github.com/asarigun) in [scverse/spatialdata-plot#590](https://github.com/scverse/spatialdata-plot/pull/590).\n",
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"\n",
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"[10x]: https://www.10xgenomics.com/datasets/human-breast-cancer-block-a-section-1-1-standard-1-1-0"
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]
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"data": {
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"text/plain": [
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"SpatialData object\n",
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"├── Images\n",
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" └── 'tissue': DataArray[cyx] (3, 2000, 2000)\n",
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"├── Shapes\n",
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" └── 'spots': GeoDataFrame shape: (3798, 2) (2D shapes)\n",
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"└── Tables\n",
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" └── 'table': AnnData (3798, 36601)\n",
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"\u251c\u2500\u2500 Images\n",
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"\u2502 \u2514\u2500\u2500 'tissue': DataArray[cyx] (3, 2000, 2000)\n",
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"\u251c\u2500\u2500 Shapes\n",
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"\u2502 \u2514\u2500\u2500 'spots': GeoDataFrame shape: (3798, 2) (2D shapes)\n",
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"\u2514\u2500\u2500 Tables\n",
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" \u2514\u2500\u2500 'table': AnnData (3798, 36601)\n",
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"with coordinate systems:\n",
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" 'global', with elements:\n",
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" \u25b8 'global', with elements:\n",
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" tissue (Images), spots (Shapes)"
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]
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},
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"source": [
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"## Coloring spots by a category\n",
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"\n",
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"`color=` also accepts categorical columns here, the `in_tissue` flag 10x sets to mark spots that fall on tissue."
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"`color=` also accepts categorical columns \u2014 here, the `in_tissue` flag 10x sets to mark spots that fall on tissue."
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]
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},
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{
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"source": [
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"## Where to next\n",
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"\n",
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"- **API reference** every parameter of `render_shapes`, `render_images`, and `show()` is documented in the [plotting API](https://spatialdata.scverse.org/projects/plot/en/latest/api.html).\n",
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"- **Getting started tutorial** if you skipped it, the [Getting started](./getting_started.ipynb) tutorial covers the same fluent API on the lightweight built-in `blobs` dataset.\n",
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"- **Contributing** found a missing example? Open a PR on [`spatialdata-plot-notebooks`](https://github.com/scverse/spatialdata-plot-notebooks)."
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"- **API reference** \u2014 every parameter of `render_shapes`, `render_images`, and `show()` is documented in the [plotting API](https://spatialdata.scverse.org/projects/plot/en/latest/api.html).\n",
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"- **Getting started tutorial** \u2014 if you skipped it, the [Getting started](./getting_started.ipynb) tutorial covers the same fluent API on the lightweight built-in `blobs` dataset.\n",
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"- **Contributing** \u2014 found a missing example? Open a PR on [`spatialdata-plot-notebooks`](https://github.com/scverse/spatialdata-plot-notebooks)."
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]
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}
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],

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