scanpy.pl.clustermap#
- scanpy.pl.clustermap(adata, obs_keys=None, *, use_raw=None, show=None, save=None, **kwds)[source]#
Hierarchically-clustered heatmap.
Wraps
seaborn.clustermap()
forAnnData
.- Parameters:
- adata
AnnData
Annotated data matrix.
- obs_keys
str
|None
(default:None
) Categorical annotation to plot with a different color map. Currently, only a single key is supported.
- use_raw
bool
|None
(default:None
) Whether to use
raw
attribute ofadata
. Defaults toTrue
if.raw
is present.- show
bool
|None
(default:None
) Show the plot, do not return axis.
- save
bool
|str
|None
(default:None
) If
True
or astr
, save the figure. A string is appended to the default filename. Infer the filetype if ending on {'.pdf'
,'.png'
,'.svg'
}.- ax
A matplotlib axes object. Only works if plotting a single component.
- **kwds
Keyword arguments passed to
clustermap()
.
- adata
- Return type:
ClusterGrid
|None
- Returns:
If
show
isFalse
, aClusterGrid
object (seeclustermap()
).
Examples
import scanpy as sc adata = sc.datasets.krumsiek11() sc.pl.clustermap(adata)
sc.pl.clustermap(adata, obs_keys='cell_type')