I/O

SingleCell.__init__	Load a SingleCell dataset from a file, or create one from an in-memory AnnData object or count matrix + metadata.
SingleCell.save	Save this SingleCell dataset to a file.
SingleCell.ls	Print the fields in an .h5ad file.
SingleCell.read_obs	Load just obs from an .h5ad file as a polars DataFrame.
SingleCell.read_var	Load just var from an .h5ad file as a polars DataFrame.
SingleCell.read_obsm	Load just obsm from an .h5ad file as a dictionary of Numpy arrays or DataFrames.
SingleCell.read_varm	Load just varm from an .h5ad file as a dictionary of Numpy arrays or DataFrames.
SingleCell.read_obsp	Load just obsp from an .h5ad file as a dictionary of sparse arrays.
SingleCell.read_varp	Load just varp from an .h5ad file as a dictionary of sparse arrays.
SingleCell.read_uns	Load just uns from an .h5ad file as a dictionary.
SingleCell.to_scanpy	Converts this SingleCell dataset to an AnnData object, the representation used by Scanpy.
SingleCell.from_seurat	Create a SingleCell dataset from a Seurat object that has already been loaded into memory via the ryp Python-R bridge.
SingleCell.to_seurat	Convert this SingleCell dataset to a Seurat object in the R workspace of the ryp Python-R bridge.
SingleCell.from_sce	Create a SingleCell dataset from a SingleCellExperiment object that has already been loaded into memory via the ryp Python-R bridge.
SingleCell.to_sce	Convert this SingleCell dataset to a SingleCellExperiment object in the R workspace of the ryp Python-R bridge.