diff --git a/src/hdf5_vis.py b/src/hdf5_vis.py
index ed1a2dc..4bcef73 100644
--- a/src/hdf5_vis.py
+++ b/src/hdf5_vis.py
@@ -67,7 +67,20 @@ def display_group_hierarchy_on_a_treemap(filename: str):
     #pio.write_image(fig,file_name + ".png",width=800,height=600,format='png')
 
 #
-def make_dtype_yaml_compatible(value):
+def to_serializable_dtype(value):
+
+    """Transform value's dtype into  YAML/JSON compatible dtype
+
+    Parameters
+    ----------
+    value : _type_
+        _description_
+
+    Returns
+    -------
+    _type_
+        _description_
+    """
     try:
         if isinstance(value, np.generic):
             if np.issubdtype(value.dtype, np.bytes_):
@@ -82,7 +95,7 @@ def make_dtype_yaml_compatible(value):
         elif isinstance(value, np.ndarray):  
             # Handling structured array types (with fields)
             if value.dtype.names:
-                value = {field: make_dtype_yaml_compatible(value[field]) for field in value.dtype.names}
+                value = {field: to_serializable_dtype(value[field]) for field in value.dtype.names}
             else:
                 # Handling regular array NumPy types                         
                 if np.issubdtype(value.dtype, np.bytes_):
@@ -121,11 +134,10 @@ def construct_attributes_dict(attrs_obj):
             if is_structured_array(value):
                #for subattr in value.dtype.names:
                    #attr_dict[key][subattr] = make_dtype_yaml_compatible(value[subattr])  
-                attr_dict[key] = make_dtype_yaml_compatible(value)             
+                attr_dict[key] = to_serializable_dtype(value)             
             else:
-                value =  make_dtype_yaml_compatible(value)
                 attr_dict[key] = {"rename_as" : key,
-                              "value" : value
+                              "value" : to_serializable_dtype(value)
                              }
 
             #if isinstance(value,str):