cellrank.tl.estimators.GPCCA.plot_schur

GPCCA.plot_schur(vectors, prop, use=None, abs_value=False, cluster_key=None, **kwargs)

Plot vectors in an embedding.

Parameters
  • use (Union[int, Tuple[int], List[int], None]) – Which or how many vectors are to be plotted.

  • abs_value (bool) – Whether to take the absolute value before plotting.

  • cluster_key (Optional[str]) – Key in adata .obs for plotting categorical observations.

  • basis – Basis to use when mode='embedding'. If None, use ‘umap’.

  • **kwargs – Keyword arguments for scvelo.pl.scatter().

Returns

Nothing, just plots the figure. Optionally saves it based on save.

Return type

None