stlearn.pl.trajectory.local_plot

stlearn.pl.trajectory.local_plot(adata: anndata._core.anndata.AnnData, use_label: str = 'louvain', use_cluster: int = None, reverse: bool = False, cluster: int = 0, data_alpha: float = 1.0, arrow_alpha: float = 1.0, branch_alpha: float = 0.2, spot_size: Union[float, int] = 1, show_color_bar: bool = True, show_axis: bool = False, show_plot: bool = True, name: str = None, dpi: int = 150, output: str = None, copy: bool = False) → Optional[anndata._core.anndata.AnnData]

Local spatial trajectory inference plot.

Parameters

• adata – Annotated data matrix.

• use_label – Use label result of clustering method.

• use_cluster – Choose a specific clusters that will display in the plot.

• data_alpha – Opacity of the spot.

• arrow_alpha – Opacity of the arrow.

• branch_alpha – Opacity of the branch edge.

• edge_alpha – Opacity of edge in PAGA graph in the tissue.

• node_alpha – Opacity of node in PAGA graph in the tissue.

• spot_size – Size of the spot.

• show_color_bar – Show color bar or not.

• show_axis – Show axis or not.

• show_legend – Show legend or not.

• dpi – Set dpi as the resolution for the plot.

• copy – Return a copy instead of writing to adata.

Returns

Return type

Nothing