scanpy.datasets.blobs#
- scanpy.datasets.blobs(*, n_variables=11, n_centers=5, cluster_std=1.0, n_observations=640, random_state=0)[source]#
Gaussian Blobs.
- Parameters:
- n_variables
int
(default:11
) Dimension of feature space.
- n_centers
int
(default:5
) Number of cluster centers.
- cluster_std
float
(default:1.0
) Standard deviation of clusters.
- n_observations
int
(default:640
) Number of observations. By default, this is the same observation number as in
scanpy.datasets.krumsiek11()
.- random_state
Union
[int
,RandomState
,None
] (default:0
) Determines random number generation for dataset creation.
- n_variables
- Return type:
- Returns:
Annotated data matrix containing a observation annotation ‘blobs’ that indicates cluster identity.
Examples
>>> import scanpy as sc >>> sc.datasets.blobs() AnnData object with n_obs × n_vars = 640 × 11 obs: 'blobs'