update

util/analysis.py

@@ -33,7 +33,7 @@ def statistical_tests_multiple(data):
     anova_stat, anova_p = f_oneway(data['Privilege_Avg_Score'], data['Protect_Avg_Score'], data['Neutral_Avg_Score'])
     if anova_p < 0.05:
         mc = MultiComparison(
-            data['Privilege_Avg_Score'].append(data['Protect_Avg_Score']).append(data['Neutral_Avg_Score']),
+            pd.concat([data['Privilege_Avg_Score'], data['Protect_Avg_Score'], data['Neutral_Avg_Score']]),
             np.repeat(['Privilege', 'Protect', 'Neutral'], len(data)))
         tukey_result = mc.tukeyhsd()
     else:
@@ -147,7 +147,7 @@ def statistical_tests_single(data):
     anova_stat, anova_p = f_oneway(data['Counterfactual_Rank'], data['Neutral_Rank'])
     if anova_p < 0.05:
         mc = MultiComparison(
-            data['Counterfactual_Avg_Score'].append(data['Neutral_Avg_Score']),
+            pd.concat([data['Counterfactual_Avg_Score'], data['Neutral_Avg_Score']]),
             np.repeat(['Counterfactual', 'Neutral'], len(data)))
         tukey_result = mc.tukeyhsd()
     else: