More fixes

qim3d/viz/_cc.py

@@ -21,7 +21,7 @@ def plot_cc(
 
     Parameters:
         connected_components (CC): The connected components object.
-        component_indexs (list | tuple, optional): The components to plot. If None the first max_cc_to_plot=32 components will be plotted. Defaults to None.
+        component_indexs (list or tuple, optional): The components to plot. If None the first max_cc_to_plot=32 components will be plotted. Defaults to None.
         max_cc_to_plot (int, optional): The maximum number of connected components to plot. Defaults to 32.
         overlay (np.ndarray, optional): Overlay image. Defaults to None.
         crop (bool, optional): Whether to crop the image to the cc. Defaults to False.

qim3d/viz/_data_exploration.py

@@ -604,7 +604,7 @@ def chunks(zarr_path: str, **kwargs):
     Function to visualize chunks of a Zarr dataset using the specified visualization method.
 
     Args:
-        zarr_path (str): Path to the Zarr dataset.
+        zarr_path (str or os.PathLike): Path to the Zarr dataset.
         **kwargs (Any): Additional keyword arguments to pass to the visualization method.
 
     Example:

qim3d/viz/_k3d.py

@@ -43,7 +43,7 @@ def volumetric(
             file will be saved. Defaults to False.
         grid_visible (bool, optional): If True, the grid is visible in the plot. Defaults to False.
         color_map (str or matplotlib.colors.Colormap or list, optional): The color map to be used for the volume rendering. If a string is passed, it should be a matplotlib colormap name. Defaults to None.
-        constant_opacity (bool, float): Set to True if doing an object label visualization with a corresponding color_map; otherwise, the plot may appear poorly. Defaults to False.
+        constant_opacity (float): Set to True if doing an object label visualization with a corresponding color_map; otherwise, the plot may appear poorly. Defaults to False.
         vmin (float, optional): Together with vmax defines the data range the colormap covers. By default colormap covers the full range. Defaults to None.
         vmax (float, optional): Together with vmin defines the data range the colormap covers. By default colormap covers the full range. Defaults to None
         samples (int, optional): The number of samples to be used for the volume rendering in k3d. Defaults to 512.

qim3d/viz/_local_thickness.py

@@ -30,13 +30,13 @@ def local_thickness(
             number of slices and rounded to the nearest integer. If None, the middle slice will
             be used for 3D images. Unused for 2D images. Defaults to None.
         show (bool, optional): If True, displays the plot (i.e. calls plt.show()). Defaults to False.
-        figsize (Tuple[int, int], optional): The size of the figure. Defaults to (15, 5).
+        figsize (tuple, optional): The size of the figure. Defaults to (15, 5).
 
     Raises:
         ValueError: If the slice index is not an integer or a float between 0 and 1.
 
     Returns:
-        If the input is 3D, returns an interactive widget. Otherwise, returns a matplotlib figure.
+        local_thickness (widgets.interactive or plt.Figure): If the input is 3D, returns an interactive widget. Otherwise, returns a matplotlib figure.
 
     Example:
         ```python

qim3d/viz/_structure_tensor.py

@@ -44,7 +44,7 @@ def vectors(
             be used. Defaults to None.
         grid_size (int, optional): The size of the grid. Defaults to 10.
         interactive (bool, optional): If True, returns an interactive widget. Defaults to True.
-        figsize (Tuple[int, int], optional): The size of the figure. Defaults to (15, 5).
+        figsize (tuple, optional): The size of the figure. Defaults to (15, 5).
         show (bool, optional): If True, displays the plot (i.e. calls plt.show()). Defaults to False.
 
     Raises:
@@ -52,7 +52,7 @@ def vectors(
         ValueError: If the slice index is not an integer or a float between 0 and 1.
 
     Returns:
-        fig (Union[plt.Figure, widgets.interactive]): If `interactive` is True, returns an interactive widget. Otherwise, returns a matplotlib figure.
+        fig (widgets.interactive or plt.Figure): If `interactive` is True, returns an interactive widget. Otherwise, returns a matplotlib figure.
 
     Note:
         The orientation of the vectors is visualized using an HSV color map, where the saturation corresponds to the vector component

qim3d/viz/itk_vtk_viewer/run.py

@@ -89,7 +89,7 @@ def itk_vtk(
     is not installed, it raises a NotInstalledError.
 
     Args:
-        filename (str, optional): Path to the file or OME-Zarr store to be visualized. Trailing slashes in
+        filename (str or or.PathLike, optional): Path to the file or OME-Zarr store to be visualized. Trailing slashes in
             the path are normalized. Defaults to None.
         open_browser (bool, optional): If True, opens the visualization in a new browser tab.
             Defaults to True.