class_docstr: A class to store counterfactual examples for one or more inputs
  and feature importance scores.
  
  :param cf_examples_list: A list of CounterfactualExamples instances
  :param local_importance: List of estimated local importance scores. The
      size of the list is the number of input instances, each containing
      feature importance scores for that input.
  :param summary_importance: Estimated global feature importance scores
      based on the input set of CounterfactualExamples instances
code: def visualize_as_list(
      self, display_sparse_df=True, show_only_changes=False
  ):
      for cf_examples in self.cf_examples_list:
          cf_examples.visualize_as_list(
              display_sparse_df=display_sparse_df,
              show_only_changes=show_only_changes,
          )
  
imports: import json
  import os
  import jsonschema
  from raiutils.exceptions import UserConfigValidationException
  from dice_ml.constants import _SchemaVersions
  from dice_ml.diverse_counterfactuals import CounterfactualExamples, _DiverseCFV2SchemaConstants
label_desc: Use image node_id 8 for calling the CounterfactualExplanations obj's underlying member method code with example usage: obj.visualize_as_list(display_sparse_df, show_only_changes) without return types