Source code for stlearn.plotting.subcluster_plot

from matplotlib import pyplot as plt
from PIL import Image
import pandas as pd
import matplotlib
import numpy as np

from typing import Optional, Union, Mapping  # Special
from typing import Sequence, Iterable  # ABCs
from typing import Tuple  # Classes

from anndata import AnnData
import warnings

from stlearn.plotting.classes import SubClusterPlot
from stlearn.plotting._docs import doc_spatial_base_plot, doc_subcluster_plot
from stlearn.utils import _AxesSubplot, Axes, _docs_params


[docs]@_docs_params( spatial_base_plot=doc_spatial_base_plot, subcluster_plot=doc_subcluster_plot ) def subcluster_plot( adata: AnnData, # plotting param title: Optional["str"] = None, figsize: Optional[Tuple[float, float]] = None, cmap: Optional[str] = "jet", use_label: Optional[str] = None, list_clusters: Optional[list] = None, ax: Optional[_AxesSubplot] = None, show_plot: Optional[bool] = True, show_axis: Optional[bool] = False, show_image: Optional[bool] = True, show_color_bar: Optional[bool] = True, crop: Optional[bool] = True, margin: Optional[bool] = 100, size: Optional[float] = 5, image_alpha: Optional[float] = 1.0, cell_alpha: Optional[float] = 1.0, fname: Optional[str] = None, dpi: Optional[int] = 120, # subcluster plot param cluster: Optional[int] = 0, threshold_spots: Optional[int] = 5, text_box_size: Optional[float] = 5, bbox_to_anchor: Optional[Tuple[float, float]] = (1, 1), ) -> Optional[AnnData]: """\ Allows the visualization of a subclustering results as the discretes values of dot points in the Spatial transcriptomics array. Parameters ------------------------------------- {spatial_base_plot} {subcluster_plot} Examples ------------------------------------- >>> import stlearn as st >>> adata = st.datasets.example_bcba() >>> label = "louvain" >>> cluster = 6 >>> st.pl.cluster_plot(adata, use_label = label, cluster = cluster) """ assert use_label != None, "Please select `use_label` parameter" assert ( use_label in adata.obs.columns ), "Please run `stlearn.spatial.cluster.localization` function!" SubClusterPlot( adata, title=title, figsize=figsize, cmap=cmap, use_label=use_label, list_clusters=list_clusters, ax=ax, show_plot=show_plot, show_axis=show_axis, show_image=show_image, show_color_bar=show_color_bar, crop=crop, margin=margin, size=size, image_alpha=image_alpha, cell_alpha=cell_alpha, fname=fname, dpi=dpi, text_box_size=text_box_size, bbox_to_anchor=bbox_to_anchor, cluster=cluster, threshold_spots=threshold_spots, )