Cnv.run_umap

Cnv.run_umap(attribute: Union[str, numpy.ndarray], output_label: str = 'umap', **kwargs: Any) → None

Perform UMAP on the given data.

Adds output_label to the row attributes.

metric=”nan-l2” is also accepted. In that case, the distance metric passed to UMAP calculates the L2-norm between cells ignoring NaN values.

Parameters

attributestr

The attribute to be used for UMAP. Uses :met:`_Assay.get_attribute` to retrieve the values constrained by row.

output_labelstr, default UMAP_LABEL

The name of the row attribute where the UMAP output is.

kwargsdictionary

Passed to UMAP.

Raises

ValueError

When both layer and attribute are provided. Only one is permitted at a time.