voyagerpy.plotting.plot_dim_loadings#

voyagerpy.plotting.plot_dim_loadings(adata: AnnData, components: int | Sequence[int], ncol: int = 2, n_loadings: int = 10, show_symbol: bool = True, varm: str = 'PCs', **kwargs) → ndarray[Any, dtype[Axes]]#

Plot the loadings of a dimensionality reduction method.

Each component is plotted on a separate axis. The top and bottom n_loadings/2 are shown for each component.

Parameters:

  • adata (AnnData) – The annotated data matrix.

  • components (Union[int, Sequence[int]]) – The components to plot. If int, plot the first components components. If Sequence[int], plot the components in the sequence.

  • ncol (int, optional) – The number of columns in the axes grid, by default 2

  • n_loadings (int, optional) – The number of loadings to show for each component, by default 10

  • show_symbol (bool, optional) – Whether to show the gene symbol, by default True

  • varm (str, optional) – The key in adata.varm to use for the loadings, by default “PCs”.

  • **kwargs – Currently used for configuring the subplots. The keys used are figsize, sharex, and layout.

Returns:

_description_

Return type:

npt.NDArray[Axes]