epiScanpy
0.3.2+4.g6b24431
Tutorials
Usage Principles
System Requirements
Installation
API
Count Matrices: CT
Preprocessing: PP
episcanpy.api.pp.coverage_cells
episcanpy.api.pp.commonness_features
episcanpy.api.pp.correlation_pc
episcanpy.api.pp.coverage_features
episcanpy.api.pp.density_features
episcanpy.api.pp.select_var_feature
episcanpy.api.pp.cal_var
episcanpy.api.pp.variability_features
episcanpy.api.pp.binarize
episcanpy.api.pp.lazy
episcanpy.api.pp.load_metadata
episcanpy.api.pp.read_ATAC_10x
episcanpy.api.pp.filter_cells
episcanpy.api.pp.filter_features
episcanpy.api.pp.normalize_total
episcanpy.api.pp.pca
episcanpy.api.pp.normalize_per_cell
episcanpy.api.pp.regress_out
episcanpy.api.pp.subsample
episcanpy.api.pp.downsample_counts
episcanpy.api.pp.neighbors
episcanpy.api.pp.sparse
episcanpy.api.pp.log1p
episcanpy.api.pp.sparse
Methylation matrices
Tools: TL
Plotting: PL
References
epiScanpy
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API
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episcanpy.api.pp.cal_var
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episcanpy.api.pp.cal_var
¶
episcanpy.api.pp.
cal_var
(
adata
,
show
=
True
,
color
=
['b',
'r']
,
save
=
None
)
¶
Show distribution plots of cells sharing features and variability score.
Parameters
adata
show
color
save