scglue.data.aggregate_obs
- scglue.data.aggregate_obs(adata, by, X_agg='sum', obs_agg=None, obsm_agg=None, layers_agg=None, separator=',', nan_sparse=False)[source]
Aggregate obs in a given dataset by certain categories
- Parameters:
adata (
AnnData) – Dataset to be aggregatedby (
str) – Specify a column inadata.obsused for aggregation, must be discrete.X_agg (
typing.Optional[str]) – Aggregation function foradata.X, must be one of{"sum", "mean", ``None}``. Setting toNonediscards theadata.Xmatrix.obs_agg (
typing.Optional[typing.Mapping[str,str]]) – Aggregation methods foradata.obs, indexed by obs columns, must be one of{"sum", "mean", "majority"}, where"sum"and"mean"are for continuous data, and"majority"is for discrete data. Fields not specified will be discarded.obsm_agg (
typing.Optional[typing.Mapping[str,str]]) – Aggregation methods foradata.obsm, indexed by obsm keys, must be one of{"sum", "mean"}. Fields not specified will be discarded.layers_agg (
typing.Optional[typing.Mapping[str,str]]) – Aggregation methods foradata.layers, indexed by layer keys, must be one of{"sum", "mean"}. Fields not specified will be discarded.separator (
str) – Separator between multiple values in the groupby columnnan_sparse (
bool) – Whether missing entries in sparse matrix indicate nan
- Return type:
- Returns:
aggregated – Aggregated dataset