[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/render.py

@@ -206,7 +206,7 @@ def _render_shapes(
         if is_point.any():
             radius_values = shapes[is_point]["radius"]
             # Convert to numeric, replacing non-numeric values with NaN
-            radius_numeric = pd.to_numeric(radius_values, errors='coerce')
+            radius_numeric = pd.to_numeric(radius_values, errors="coerce")
             scale = radius_numeric * render_params.scale
             shapes.loc[is_point, "geometry"] = _geometry[is_point].buffer(scale.to_numpy())
 
@@ -238,12 +238,12 @@ def _render_shapes(
                 else:
                     # If lengths don't match, pad or truncate to match
                     if len(color_vector) > len(transformed_element):
-                        color_vector = color_vector[:len(transformed_element)]
+                        color_vector = color_vector[: len(transformed_element)]
                     else:
                         # Pad with the last color or na_color
                         na_color = render_params.cmap_params.na_color.get_hex_with_alpha()
                         color_vector = list(color_vector) + [na_color] * (len(transformed_element) - len(color_vector))
-            
+
             transformed_element[col_for_color] = color_vector if color_source_vector is None else color_source_vector
         # Render shapes with datashader
         color_by_categorical = col_for_color is not None and color_source_vector is not None

src/spatialdata_plot/pl/utils.py

@@ -96,43 +96,43 @@
 def _extract_scalar_value(value: Any, default: float = 0.0) -> float:
     """
     Extract a scalar float value from various data types.
-    
+
     Handles pandas Series, arrays, lists, and other iterables by taking the first element.
     Converts non-numeric values to the default value.
-    
+
     Parameters
     ----------
     value : Any
         The value to extract a scalar from
     default : float, default 0.0
         Default value to return if conversion fails
-        
+
     Returns
     -------
     float
         The extracted scalar value
     """
     try:
         # Handle pandas Series or similar objects with iloc
-        if hasattr(value, 'iloc'):
+        if hasattr(value, "iloc"):
             if len(value) > 0:
                 value = value.iloc[0]
             else:
                 return default
-        
+
         # Handle other array-like objects
-        elif hasattr(value, '__len__') and not isinstance(value, (str, bytes)):
+        elif hasattr(value, "__len__") and not isinstance(value, (str, bytes)):
             if len(value) > 0:
                 value = value[0]
             else:
                 return default
-        
+
         # Convert to float, handling NaN values
         if pd.isna(value):
             return default
-        
+
         return float(value)
-        
+
     except (TypeError, ValueError, IndexError):
         return default
 
@@ -481,7 +481,7 @@ def _process_point(row: pd.Series, scale: float) -> dict[str, Any]:
         radius_value = _extract_scalar_value(row["radius"], default=0.0)
         scale_value = _extract_scalar_value(scale, default=1.0)
         radius = radius_value * scale_value
-        
+
         return {
             **row.to_dict(),
             "geometry": mpatches.Circle((row["geometry"].x, row["geometry"].y), radius=radius),