SpatialFeatureExperiment
A Python package for storing and analyzing spatial-omics experimental data. This package provide the SpatialFeatureExperiment class, based on the R package and class.
Install
To get started, install the package from PyPI
pip install spatialfeatureexperiment
Quick Usage
This package uses shapely and geopandas to support the *_geometries slots.
from spatialexperiment import SpatialFeatureExperiment
import numpy as np
import geopandas as gpd
from shapely.geometry import Polygon
nrows = 200
ncols = 500
counts = np.random.rand(nrows, ncols)
polys = gpd.GeoSeries(
[
Polygon([(1, -1), (1, 0), (0, 0)]),
Polygon([(3, -1), (4, 0), (3, 1)]),
]
)
colgeoms = {"polygons" : gpd.GeoDataFrame({"geometry": polys})}
tspe = SpatialFeatureExperiment(assays={"spots": counts}, col_geometries=colgeoms)
Note
This project has been set up using BiocSetup and PyScaffold.
Release files for SpatialFeatureExperiment 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spatialfeatureexperiment-0.1.1.tar.gz | 41.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spatialfeatureexperiment-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 65.8 kB
Release files / spatialfeatureexperiment-0.1.1.tar.gz
| Download URL | spatialfeatureexperiment-0.1.1.tar.gz |
|---|---|
| Size | 41.6 kB |
| Tags | Source |
|
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| Tags | Python 3 |
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| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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