[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

src/spatialdata_plot/pl/_categorical_utils.py

@@ -1,7 +1,8 @@
 import collections.abc as cabc
 import logging
 from collections.abc import Sequence
-from typing import Any, Optional, Union, Mapping
+from typing import Any, Optional, Union
+from collections.abc import Mapping
 
 import numpy as np
 import pandas as pd
@@ -11,15 +12,12 @@
 from matplotlib import pyplot as pl
 from matplotlib import rcParams
 from matplotlib.axes import Axes
-from matplotlib.colors import is_color_like, to_hex
-from pandas.api.types import is_categorical_dtype
 from matplotlib.colors import (
-    ColorConverter,
-    Colormap,
     ListedColormap,
-    Normalize,
-    TwoSlopeNorm,
+    is_color_like,
+    to_hex,
 )
+from pandas.api.types import is_categorical_dtype
 
 # Colorblindness adjusted vega_10
 # See https://github.com/scverse/scanpy/issues/387

src/spatialdata_plot/pl/basic.py

@@ -22,13 +22,7 @@
 from spatialdata_plot.pl._categorical_utils import (
     add_colors_for_categorical_sample_annotation,
 )
-from matplotlib.colors import (
-    ColorConverter,
-    Colormap,
-    ListedColormap,
-    Normalize,
-    TwoSlopeNorm,
-)
+
 from ..accessor import register_spatial_data_accessor
 from ..pp.utils import _get_instance_key, _get_region_key, _verify_plotting_tree_exists
 from .render import (

src/spatialdata_plot/pl/render.py

@@ -1,40 +1,38 @@
 from __future__ import annotations
+
 from collections.abc import Iterable
-from typing import Callable, Optional, Union, Sequence, NamedTuple
-from matplotlib.cm import get_cmap
 from copy import copy
+from functools import partial
+from typing import Callable, NamedTuple, Optional, Union
+from collections.abc import Sequence
+
 import matplotlib
 import matplotlib.patches as mpatches
 import numpy as np
 import pandas as pd
 import spatialdata as sd
 import xarray as xr
-from matplotlib.colors import ListedColormap, to_rgb
-from pandas.api.types import is_categorical_dtype
-from skimage.segmentation import find_boundaries
-from sklearn.decomposition import PCA
-import scanpy as sc
-from pandas.api.types import is_categorical_dtype
-from spatialdata._types import ArrayLike
 from anndata import AnnData
-from pandas.api.types import CategoricalDtype
-from matplotlib import colors, patheffects, rcParams
+from matplotlib import colors
+from matplotlib.cm import get_cmap
 from matplotlib.colors import (
-    ColorConverter,
     Colormap,
+    ListedColormap,
     Normalize,
-    TwoSlopeNorm,
+    to_rgb,
 )
+from pandas.api.types import CategoricalDtype, is_categorical_dtype
 from skimage.color import label2rgb
 from skimage.morphology import erosion, square
 from skimage.segmentation import find_boundaries
 from skimage.util import map_array
-from functools import partial
+from sklearn.decomposition import PCA
+from spatialdata._types import ArrayLike
+
 from ..pl._categorical_utils import _get_colors_for_categorical_obs, _get_palette
 from ..pl.utils import _normalize
 from ..pp.utils import _get_linear_colormap, _get_region_key
 
-
 Palette_t = Optional[Union[str, ListedColormap]]
 _Normalize = Union[Normalize, Sequence[Normalize]]
 _SeqStr = Union[str, Sequence[str]]
@@ -221,8 +219,10 @@ def _render_images(
 
     ax.set_title(key)
 
+
 import matplotlib.pyplot as plt
 
+
 def _render_labels(
     sdata: sd.SpatialData,
     params: dict[str, Union[str, int, float]],