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 .classes import SubClusterPlot
from ..utils import _AxesSubplot, Axes
[docs]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,
text_box_size: Optional[float] = 5,
bbox_to_anchor: Optional[Tuple[float, float]] = (1, 1),
) -> Optional[AnnData]:
assert use_label != None, "Please select `use_label` parameter"
assert (
use_label in adata.obs.columns
), "Please run `stlearn.spatial.clustering.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,
)