diff --git a/dice_ml/counterfactual_explanations.py b/dice_ml/counterfactual_explanations.py
index 39b45a5b..5b67fee7 100644
--- a/dice_ml/counterfactual_explanations.py
+++ b/dice_ml/counterfactual_explanations.py
@@ -121,15 +121,15 @@ def plot_counterplots(self, dice_model):
         """
         counterplots_out = []
         for cf_examples in self.cf_examples_list:
-            features_names = list(cf_examples.test_instance_df.columns)[:-1]
-            features_dtypes = list(cf_examples.test_instance_df.dtypes)[:-1]
+            self.features_names = list(cf_examples.test_instance_df.columns)[:-1]
+            self.features_dtypes = list(cf_examples.test_instance_df.dtypes)[:-1]
             factual_instance = cf_examples.test_instance_df.to_numpy()[0][:-1]
 
             def convert_data(x):
-                df_x = pd.DataFrame(data=x, columns=features_names)
+                df_x = pd.DataFrame(data=x, columns=self.features_names)
                 # Transform each dtype according to features_dtypes
-                for feature_name, f_dtype in zip(features_names, features_dtypes):
-                    df_x[feature_name] = df_x[feature_name].astype(f_dtype)
+                for feature_name, f_dtype in zip(self.features_names, self.features_dtypes):
+                    df_x[feature_name] = pd.to_numeric(df_x[feature_name], errors='ignore').astype(f_dtype)
 
                 return df_x
 
@@ -158,7 +158,7 @@ def model_pred(x):
                         factual=factual_instance,
                         cf=cf_instance[:-1],
                         model_pred=model_pred,
-                        feature_names=features_names,
+                        feature_names=self.features_names,
                     ))
         return counterplots_out