A Python package for storing and analyzing spatial-omics experimental data. This package provide the SpatialFeatureExperiment
class, based on the R package and class.
To get started, install the package from PyPI
pip install spatialfeatureexperiment
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)
This project has been set up using BiocSetup and PyScaffold.