Try viewing zarr arr

docs/tutorial.py

@@ -3,6 +3,7 @@
 from rich.pretty import pprint
 
 
+from itkwidgets import view
 import gcsfs
 import zarr
 import zarr.storage
@@ -74,11 +75,10 @@
 #
 # Although these models do not handle reading or writing data, they do expose the zarr arrays.
 
-zarr_arr = ome_zarr_image.group[multiscales_meta[0].datasets[0].path]
+zarr_arr = ome_zarr_image.group[multiscales_meta[0].datasets[-1].path]
 pprint(zarr_arr)
+view(zarr_arr[0, :, :, :])
 
 # ## Not using validation
 #
 # If you want to create models that are not validated against the OME-zarr specifciation, you can use the ``model_construct`` method on the models.
-
-

pyproject.toml

@@ -15,6 +15,7 @@ docs = [
     "gcsfs",
     "rich",
     "zarr<3",
+    "itkwidgets",
 ]
 pydantic = ["pydantic"]
 
@@ -34,6 +35,7 @@ docs = [
     "gcsfs",
     "rich",
     "zarr<3",
+    "itkwidgets",
 ]
 dev = [
     "jupyter[notebook]>=1.1.1",