Updating distribution procedure

netbone/compare.py

@@ -90,7 +90,7 @@ class Compare:
             props_res[res].index.name = self.value_name
         return props_res
 
-    def distribution_ks_statistic(self, name, increasing=True):
+    def distribution_ks_statistic(self, increasing=True):
         if self.filter == boolean_filter:
             self.filter_values = [0] * len(self.backbones)
         if self.filter_values == []:
@@ -100,7 +100,7 @@ class Compare:
         ks_statistics = pd.DataFrame(index=[backbone.name for backbone in self.backbones])
 
         values0 = self.props[property](self.network)
-        dist['Original'] = cumulative_dist(name, 'Original', values0, increasing)
+        dist['Original'] = cumulative_dist(property, 'Original', values0, increasing)
 
         for property in self.props:
             dist_values = dict()
@@ -108,7 +108,7 @@ class Compare:
             for i, backbone in enumerate(self.backbones):
                 extracted_backbone = self.filter(backbone, value=self.filter_values[i], narrate=False)
                 values1 = self.props[property](extracted_backbone)
-                dist_values[backbone.name] = cumulative_dist(name, extracted_backbone.name, values1, increasing)
+                dist_values[backbone.name] = cumulative_dist(property, extracted_backbone.name, values1, increasing)
                 vals.append(kstest(values0, values1)[0])
 
             # ks_statistics = pd.DataFrame(index=['Original'] + [backbone.name for backbone in self.backbones])