squidpy.pl.interaction_matrix

squidpy.pl.interaction_matrix(adata, cluster_key, annotate=False, method=None, title=None, cmap='viridis', palette=None, cbar_kwargs=mappingproxy({}), figsize=None, dpi=None, save=None, ax=None, **kwargs)

Plot cluster interaction matrix.

The interaction matrix is computed by squidpy.gr.interaction_matrix().

Parameters:

• adata (AnnData) – Annotated data object.

• cluster_key (str) – Key in anndata.AnnData.obs where clustering is stored.

• annotate (bool) – Whether to annotate the cells of the heatmap.

• method (Optional[str]) – The linkage method to be used for dendrogram/clustering, see scipy.cluster.hierarchy.linkage().

• title (Optional[str]) – The title of the plot.

• cmap (str) – Continuous colormap to use.

• cbar_kwargs (Mapping[str, Any]) – Keyword arguments for matplotlib.figure.Figure.colorbar().

• palette (Union[str, ListedColormap, None]) – Categorical colormap for the clusters. If None, use anndata.AnnData.uns ['{cluster_key}_colors'], if available.

• figsize (Optional[tuple[float, float]]) – Size of the figure in inches.

• dpi (Optional[int]) – Dots per inch.

• save (Union[str, Path, None]) – Whether to save the plot.

• ax (Optional[Axes]) – Axes, matplotlib.axes.Axes.

• kwargs (Any) – Keyword arguments for matplotlib.pyplot.text().

Return type:

None

Returns:

: Nothing, just plots the figure and optionally saves the plot.