add axes to init of base, image, labels

co-authored by: [email protected]

napari/layers/base/base.py

@@ -295,6 +295,7 @@ def __init__(
         experimental_clipping_planes=None,
         mode='pan_zoom',
         projection_mode='none',
+        axes_labels: tuple[str] = ()
     ) -> None:
         super().__init__()
 

napari/layers/image/image.py

@@ -236,6 +236,7 @@ def __init__(
         data,
         *,
         rgb=None,
+        axes_labels = (),
         colormap='gray',
         contrast_limits=None,
         gamma=1.0,
@@ -273,6 +274,8 @@ def __init__(
                 trans._('Image data must have at least 2 dimensions.')
             )
 
+        self.axes_labels = tuple(i for i in range(-data.ndim, 0))
+
         # Determine if data is a multiscale
         self._data_raw = data
         if multiscale is None:

napari/layers/labels/labels.py

@@ -301,6 +301,7 @@ def __init__(
         plane=None,
         experimental_clipping_planes=None,
         projection_mode='none',
+        axes_labels = (),
     ) -> None:
         if name is None and data is not None:
             name = magic_name(data)
@@ -321,6 +322,7 @@ def __init__(
         self._cached_mapped_labels = np.zeros((0, 4), dtype=np.uint8)
 
         data = self._ensure_int_labels(data)
+        self.axes_labels = tuple(i for i in range(-data.ndim, 0))
 
         super().__init__(
             data,

napari/layers/points/points.py

@@ -377,6 +377,7 @@ def __init__(
         antialiasing=1,
         shown=True,
         projection_mode='none',
+        axes_labels = (),
     ) -> None:
         if ndim is None and scale is not None:
             ndim = len(scale)