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4 changes: 4 additions & 0 deletions .gitignore
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Expand Up @@ -22,6 +22,10 @@ __pycache__/
# docs
/docs/generated/
/docs/_build/
/docs/auto_gallery/
/docs/sg_execution_times.rst
/docs/gallery/**/data/
/docs/gallery/**/__pycache__/

# IDEs
/.idea/
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5 changes: 5 additions & 0 deletions docs/_static/css/custom.css
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Expand Up @@ -2,3 +2,8 @@
div.cell_output table.dataframe {
font-size: 0.8em;
}

/* Gallery landing: subsection links are shown in the sidebar; hide the duplicate inline list. */
section#gallery > .toctree-wrapper {
display: none;
}
20 changes: 20 additions & 0 deletions docs/conf.py
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Expand Up @@ -56,6 +56,7 @@
"sphinx.ext.intersphinx",
"sphinx.ext.autosummary",
"sphinx.ext.napoleon",
"sphinx_gallery.gen_gallery",
"sphinxcontrib.bibtex",
"sphinxcontrib.katex",
"sphinx_autodoc_typehints",
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"tutorials/notebooks/README.md",
"tutorials/notebooks/references.md",
"tutorials/notebooks/notebooks/paper_reproducibility/*",
"gallery/*",
"auto_gallery/**/*.ipynb",
"auto_gallery/**/*.py",
]


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# you can add an exception to this list.
("py:class", "igraph.Graph"),
]

# -- Sphinx-Gallery configuration -------------------------------------------

sys.path.insert(0, str(HERE / "gallery"))

sphinx_gallery_conf = {
"examples_dirs": ["gallery"],
"gallery_dirs": ["auto_gallery"],
"filename_pattern": r"/plot_",
"ignore_pattern": r"(__init__|_helpers)\.py",
"image_scrapers": ("matplotlib",),
"matplotlib_animations": True,
"within_subsection_order": "FileNameSortKey",
"nested_sections": True,
"download_all_examples": True,
}
15 changes: 15 additions & 0 deletions docs/gallery.rst
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Gallery
-------

Examples demonstrating the plotting capabilities of ``spatialdata-plot``.

.. toctree::
:maxdepth: 1

auto_gallery/basic/index
auto_gallery/customization/index
auto_gallery/overlays/index

.. include:: auto_gallery/index.rst
:start-after: Examples demonstrating the plotting capabilities of ``spatialdata-plot``.
:end-before: .. toctree::
4 changes: 4 additions & 0 deletions docs/gallery/README.rst
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Gallery
-------

Examples demonstrating the plotting capabilities of ``spatialdata-plot``.
60 changes: 60 additions & 0 deletions docs/gallery/_helpers.py
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"""Shared data loaders for gallery examples."""

from __future__ import annotations

import warnings

import numpy as np
import scanpy as sc
import spatialdata as sd
from spatialdata.models import Image2DModel, ShapesModel, TableModel


def load_visium_breast_cancer() -> sd.SpatialData:
"""Load Visium breast cancer tissue as a SpatialData object.

Uses ``scanpy.datasets.visium_sge`` which caches the download
via :mod:`pooch`, so the data is only fetched once.
"""
with warnings.catch_warnings():
warnings.simplefilter("ignore")
adata = sc.datasets.visium_sge(
sample_id="V1_Breast_Cancer_Block_A_Section_1",
)

sample = list(adata.uns["spatial"].keys())[0]
meta = adata.uns["spatial"][sample]
sf = meta["scalefactors"]["tissue_hires_scalef"]

image = Image2DModel.parse(
np.moveaxis(meta["images"]["hires"], -1, 0),
dims=("c", "y", "x"),
)

radius = meta["scalefactors"]["spot_diameter_fullres"] * sf / 2
circles = ShapesModel.parse(
adata.obsm["spatial"] * sf,
geometry=0,
radius=radius,
index=adata.obs_names,
)

adata.obs["region"] = "spots"
adata.obs["region"] = adata.obs["region"].astype("category")
adata.obs["instance_key"] = adata.obs_names
table = TableModel.parse(
adata,
region="spots",
region_key="region",
instance_key="instance_key",
)

table.var_names_make_unique()
sc.pp.normalize_total(table)
sc.pp.log1p(table)

return sd.SpatialData(
images={"tissue": image},
shapes={"spots": circles},
tables={"table": table},
)
4 changes: 4 additions & 0 deletions docs/gallery/basic/README.rst
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Basic
-----

Rendering individual spatial element types.
14 changes: 14 additions & 0 deletions docs/gallery/basic/plot_render_images.py
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"""
Render tissue image
===================

Render an H&E tissue image from a Visium experiment.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

sdata.pl.render_images("tissue").pl.show()
14 changes: 14 additions & 0 deletions docs/gallery/basic/plot_render_labels.py
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"""
Render labels
=============

Render a cell segmentation mask.
"""

import spatialdata as sd

import spatialdata_plot # noqa: F401

sdata = sd.datasets.blobs()

sdata.pl.render_labels("blobs_labels").pl.show()
14 changes: 14 additions & 0 deletions docs/gallery/basic/plot_render_labels_contour.py
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"""
Render label contours
=====================

Render segmentation boundaries using ``contour_px``.
"""

import spatialdata as sd

import spatialdata_plot # noqa: F401

sdata = sd.datasets.blobs()

sdata.pl.render_labels("blobs_labels", contour_px=3).pl.show()
14 changes: 14 additions & 0 deletions docs/gallery/basic/plot_render_points.py
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"""
Render points
=============

Render transcript detections as points.
"""

import spatialdata as sd

import spatialdata_plot # noqa: F401

sdata = sd.datasets.blobs()

sdata.pl.render_points("blobs_points", size=3).pl.show()
14 changes: 14 additions & 0 deletions docs/gallery/basic/plot_render_shapes.py
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"""
Render spots
============

Render Visium spot shapes on their own.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

sdata.pl.render_shapes("spots").pl.show()
4 changes: 4 additions & 0 deletions docs/gallery/customization/README.rst
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Customization
-------------

Styling options: colormaps, outlines, contours, and alpha.
14 changes: 14 additions & 0 deletions docs/gallery/customization/plot_gene_cmap.py
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"""
Gene expression with custom colormap
=====================================

Color spots by gene expression using a custom colormap.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

(sdata.pl.render_images("tissue").pl.render_shapes("spots", color="ERBB2", cmap="magma", fill_alpha=0.8).pl.show())
31 changes: 31 additions & 0 deletions docs/gallery/customization/plot_multi_panel.py
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"""
Multi-panel layout
==================

Display multiple coordinate systems side by side.
"""

import numpy as np
import spatialdata as sd
from spatialdata.models import Image2DModel
from spatialdata.transformations import Identity

import spatialdata_plot # noqa: F401

rng = np.random.default_rng(0)
img_a = Image2DModel.parse(
rng.random((3, 64, 64)),
dims=("c", "y", "x"),
transformations={"sample_a": Identity()},
)
img_b = Image2DModel.parse(
rng.random((3, 64, 64)),
dims=("c", "y", "x"),
transformations={"sample_b": Identity()},
)
sdata = sd.SpatialData(images={"img_a": img_a, "img_b": img_b})

sdata.pl.render_images().pl.show(
coordinate_systems=["sample_a", "sample_b"],
figsize=(8, 4),
)
24 changes: 24 additions & 0 deletions docs/gallery/customization/plot_shapes_outline.py
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"""
Spots with outlines
===================

Style spots with visible outlines and translucent fill.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

(
sdata.pl.render_images("tissue")
.pl.render_shapes(
"spots",
fill_alpha=0.3,
outline_width=1.5,
outline_color="black",
outline_alpha=1.0,
)
.pl.show()
)
14 changes: 14 additions & 0 deletions docs/gallery/customization/plot_single_channel.py
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"""
Single channel with colormap
=============================

Render one image channel with a colormap.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

sdata.pl.render_images("tissue", channel=0, cmap="viridis").pl.show()
4 changes: 4 additions & 0 deletions docs/gallery/overlays/README.rst
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Overlays
--------

Combining multiple spatial element layers in a single plot.
14 changes: 14 additions & 0 deletions docs/gallery/overlays/plot_color_by_category.py
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"""
Color spots by category
=======================

Overlay spots colored by a categorical annotation.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

(sdata.pl.render_images("tissue").pl.render_shapes("spots", color="in_tissue", fill_alpha=0.7).pl.show())
14 changes: 14 additions & 0 deletions docs/gallery/overlays/plot_color_by_gene.py
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"""
Color spots by gene expression
===============================

Overlay spots colored by a gene on an H&E tissue image.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

(sdata.pl.render_images("tissue").pl.render_shapes("spots", color="ERBB2", fill_alpha=0.8).pl.show())
14 changes: 14 additions & 0 deletions docs/gallery/overlays/plot_filter_groups.py
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"""
Filter by category groups
=========================

Show only selected categories using the ``groups`` parameter.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

(sdata.pl.render_images("tissue").pl.render_shapes("spots", color="in_tissue", groups=["1"], fill_alpha=0.7).pl.show())
14 changes: 14 additions & 0 deletions docs/gallery/overlays/plot_images_shapes.py
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"""
Tissue with spots
=================

Overlay Visium spots on an H&E tissue image.
"""

from _helpers import load_visium_breast_cancer

import spatialdata_plot # noqa: F401

sdata = load_visium_breast_cancer()

(sdata.pl.render_images("tissue").pl.render_shapes("spots", fill_alpha=0.5).pl.show())
3 changes: 2 additions & 1 deletion docs/index.md
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Expand Up @@ -4,8 +4,9 @@

```{toctree}
:hidden: true
:maxdepth: 1
:maxdepth: 2

gallery
api.md
changelog.md
contributing.md
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