scanpy.pp.subsample

scanpy.pp.subsample(data, fraction=None, *, n_obs=None, random_state=0, copy=False)

Subsample to a fraction of the number of observations.

Parameters:

data AnnData | ndarray | spmatrix

The (annotated) data matrix of shape n_obs × n_vars. Rows correspond to cells and columns to genes.

fraction float | None (default: None)

Subsample to this fraction of the number of observations.

n_obs int | None (default: None)

Subsample to this number of observations.

random_state int | RandomState | None (default: 0)

Random seed to change subsampling.

copy bool (default: False)

If an AnnData is passed, determines whether a copy is returned.

Return type:

AnnData | tuple[ndarray | spmatrix, ndarray[Any, dtype[int64]]] | None

Returns:

Returns X[obs_indices], obs_indices if data is array-like, otherwise subsamples the passed AnnData (copy == False) or returns a subsampled copy of it (copy == True).