(ad_all_temp, groupby='cluster', min_corr=0.3) df = scv.DataFrame(ad_all_temp.uns['rank_velocity_genes...']['names']) kwargs = dict() scv.pl.scatter(ad_all_temp, df['4'][:5], ylabel='4', frameon=False, size...=5, linewidth=1.5, add_outline='4') scv.tl.velocity_confidence(ad_all_temp) keys = 'velocity_length'...(ad_all_temp, groups='cluster') scv.pl.paga(ad_all_temp, basis='umap', size=50, alpha=0.1, min_edge_width...["figure.figsize"] = (5, 5)scv.pl.velocity_embedding_stream(ad_all_temp_T, basis='X_umap', arrow_size