title: How to plot Shap Dependence plot from causal model in python?
body: <p>I have this code which is suppose to create a dependence plot:</p>
  <pre><code>outcome='sales'
  treatment='price'
  
  shap_values = causal_estimator.shap_values(X_test)
  shap.dependence_plot('feature_1', shap_values[outcome][treatment], X_test)
  
  I get error: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
  </code></pre>
  <p>What is the issue here? Any advise is very appreciated. Thanks!</p>