diff --git a/python/dalex/NEWS.md b/python/dalex/NEWS.md
index 23c03e310..8f714acda 100644
--- a/python/dalex/NEWS.md
+++ b/python/dalex/NEWS.md
@@ -3,6 +3,7 @@
 ### development
 
 * added a way to pass `sample_weight` to loss functions in `model_parts()` (variable importance) using `weights` from `dx.Explainer` ([#563](https://github.com/ModelOriented/DALEX/issues/563))
+* fixed the visualization of `shap_wrapper` for `shap==0.45.0`
 
 ### v1.7.0 (2024-02-28)
 
diff --git a/python/dalex/dalex/wrappers/_shap/object.py b/python/dalex/dalex/wrappers/_shap/object.py
index e57901565..c75ec7be5 100644
--- a/python/dalex/dalex/wrappers/_shap/object.py
+++ b/python/dalex/dalex/wrappers/_shap/object.py
@@ -122,7 +122,14 @@ def plot(self, **kwargs):
             else:
                 base_value = self.shap_explainer.expected_value
 
-            shap_values = self.result[1] if isinstance(self.result, list) else self.result
+            if isinstance(self.result, list):
+                shap_values = self.result[1] 
+            elif isinstance(self.result, np.ndarray):
+                if len(self.result.shape) == 3:
+                    shap_values = self.result[:, :, 1]
+                else:
+                    shap_values = self.result
+
             force_plot(base_value=base_value,
                        shap_values=shap_values,
                        features=self.new_observation.values,