docstr: global level explanation
docstr_tok: ["global","level","explanation"]
code: def shap_df(self):
      """
      global level explanation
      """
      _, _, df_with_shap = self.ShapleyValues.global_shap_plotting()
      return df_with_shap
  
imports: from explainx import *
  from explainx.lib.imports import *
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  import json
  from explainx.lib.models.transformer_default import defaultTransformer
  from explainx.lib.models.modelprocessor import ModelProcessor
  from explainx.lib.modules.local_explanation.index import localExplanation
  from explainx.lib.modules.cohort_analysis.index import cohort
  from explainx.lib.modules.feature_interactions.index import featureInteraction
  from explainx.lib.frameworks.shapley_values import ShapleyValues
label_desc: Use image node_id 7 for calling the ExplainxModules obj's underlying member method code with example usage: obj.shap_df() and returns: df_with_shap