SOAPy_st.pl.show_curves_cluster

SOAPy_st.pl.show_curves_cluster(adata: AnnData, method: Literal['poly', 'loess'] = 'poly', show_standard_error: bool = True, SE_alpha: float | None = None, palette: Sequence[str] | ListedColormap | None = None, title: str | None = None, figsize: Tuple[float, float] | None = None, dpi: int = 100, ax: Axes | None = None, grid: bool = False, show: bool = True, save: str | PathLike | None = None, legend_kwargs: dict = {}, **kwargs: Any) → Axes | None

Plot the tendency curve of the gene clusters.

Parameters

adataanndata.AnnData

An AnnData object containing spatial omics data and spatial information.

figsizeTuple[float, float], optional

(Width, height) of the figure.

dpifloat, optional

The resolution of the figure.

titlestr, optional

The title of shown figure.

axAxes

A matplotlib axes object.

showbool

Show the plot, do not return axis.

saveUnion[str, PathLike], optional

The path where the image is stored.

methodLiteral[‘poly’, ‘loess’], optional

Polynomial regression(poly) or Loess regression(loess).

show_standard_errorbool

Plot the standard error margin of the clustering curve.

SE_alphabool

Transparency between the drawn standard errors

paletteUnion[Sequence[str], ListedColormap], optional

Colors to use for plotting annotation groups.

titlestr, optional

The title of figure

gridbool

Whether to add grid or not.

legend_kwargsdict, optional

Other params of plt.legend(). Only used in ‘one_axes == True’.

kwargsAny

Other params of ax.plot()

Returns

If show==False, return Axes.