Updating df

netbone/statistical/disparity.py

@@ -23,11 +23,11 @@ def disparity(data, weight='weight'):
                 w = float(g[node][neighbour]['weight'])
                 p_ij = w/strength[node]
                 alpha_ij = (1-p_ij)**(k-1)
-                if 'alpha' in g[node][neighbour]:
-                    if alpha_ij < g[node][neighbour]['alpha']:
-                        g[node][neighbour]['alpha'] = alpha_ij
+                if 'p_value' in g[node][neighbour]:
+                    if alpha_ij < g[node][neighbour]['p_value']:
+                        g[node][neighbour]['p_value'] = alpha_ij
                 else:
-                    g[node][neighbour]['alpha'] = alpha_ij
+                    g[node][neighbour]['p_value'] = alpha_ij
     return Backbone(g, name="Disparity Filter", column="p_value", ascending=True, filters=[threshold_filter, fraction_filter])
 
     # b = nx.Graph()