docstr: return dataframe for graphing
docstr_tok: ["return","dataframe","for","graphing"]
code: def dataframe_graphing(self):
      """
      return dataframe for graphing
      """
      main_dataset = self.input_data.copy()
      for i in self.predicted_columns().keys():
          main_dataset[i] = self.predicted_columns()[i]
      return main_dataset
  
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 5 for calling the ExplainxModules obj's underlying member method code with example usage: obj.dataframe_graphing() and returns: main_dataset