diff --git a/src/hdf5_lib.py b/src/hdf5_lib.py
index 83c3ab8..510d0f0 100644
--- a/src/hdf5_lib.py
+++ b/src/hdf5_lib.py
@@ -8,21 +8,9 @@ import numpy as np
 import h5py
 import logging
 
-
-
 import src.g5505_utils as utils
-
-import src.hdf5_vis as hdf5_vis
 import src.g5505_file_reader as g5505f_reader
 
-
-
-
-
-
-
-
-
 def read_mtable_as_dataframe(filename):
 
     """ Reconstruct a Matlab Table encoded in a .h5 file as a Pandas DataFrame. The input .h5 file
@@ -143,39 +131,6 @@ def is_nested_hierarchy(df) -> bool:
     return all([are_nested(df_tmp,'level_'+str(i)+'_groups','level_'+str(i+1)+'_groups') for i in range(len(df_tmp.columns)-1)])
 
 
-def get_parent_child_relationships(file: h5py.File):
-
-    nodes = ['/']
-    parent = ['']
-    #values = [file.attrs['count']]
-    # TODO: maybe we should make this more general and not dependent on file_list attribute? 
-    #if 'file_list' in file.attrs.keys():
-    #    values = [len(file.attrs['file_list'])]
-    #else:
-    #    values = [1]
-    values = [len(file.keys())]
-
-    def node_visitor(name,obj):
-        if name.count('/') <=2:
-            nodes.append(obj.name)
-            parent.append(obj.parent.name)
-            #nodes.append(os.path.split(obj.name)[1])
-            #parent.append(os.path.split(obj.parent.name)[1])
-            
-            if isinstance(obj,h5py.Dataset):# or not 'file_list' in obj.attrs.keys():
-                values.append(1)
-            else:
-                print(obj.name)
-                try:
-                    values.append(len(obj.keys()))
-                except:
-                    values.append(0)
-
-    file.visititems(node_visitor)
-
-    return nodes, parent, values    
-
-
 def get_groups_at_a_level(file: h5py.File, level: str):
 
     groups = []