code: def tree_shap_independent_200(model, data):
      
      data_subsample = sklearn.utils.resample(data, replace=False, n_samples=min(200, data.shape[0]), random_state=0)
      return TreeExplainer(model, data_subsample, feature_dependence="independent").shap_values
docs: TreeExplainer (independent)
      color = red_blue_circle(0)
      linestyle = dashed