improving Network methods

Author: J-A-Ha

art/classes/__pycache__/networks.cpython-39.pyc

@@ -620,7 +620,7 @@ def degree_distributions(self, weighted = False, direction = 'all'):
 
 
 
-    def all_centralities(self, sort_by = ['weighted_degree','degree', 'betweenness','eigencentrality','authority_score','hub_score']):
+    def all_centralities(self):
 
         """
         Calculates all centrality measures for network. Returns as a Pandas Dataframe.
@@ -676,7 +676,9 @@ def all_centralities(self, sort_by = ['weighted_degree','degree', 'betweenness',
                                             hubs)
 
         if is_directed == True:
-            sort_by = ['weighted_degree','degree', 'betweenness','authority_score','hub_score']
+            sort_by = ['weighted_total_degree', 'total_degree', 'betweenness']
+        else:
+            sort_by = ['weighted_degree', 'degree', 'betweenness', 'eigencentrality', 'authority_score','hub_score']
 
         return combined.sort_values(sort_by, ascending=False)