scanpy.pl.clustermap
- scanpy.pl.clustermap(adata, obs_keys=None, use_raw=None, show=None, save=None, **kwds)
Hierarchically-clustered heatmap.
Wraps
seaborn.clustermap()
forAnnData
.- Parameters:
- adata :
AnnData
Annotated data matrix.
- obs_keys :
Optional
[str
] (default:None
) Categorical annotation to plot with a different color map. Currently, only a single key is supported.
- use_raw :
Optional
[bool
] (default:None
) Whether to use
raw
attribute ofadata
. Defaults toTrue
if.raw
is present.- show :
Optional
[bool
] (default:None
) Show the plot, do not return axis.
- save :
Union
[str
,bool
,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 :
- Returns:
: If
show
isFalse
, aClusterGrid
object (seeclustermap()
).
Examples
Soon to come with figures. In the meanwile, see
clustermap()
.>>> import scanpy as sc >>> adata = sc.datasets.krumsiek11() >>> sc.pl.clustermap(adata, obs_keys='cell_type')