code: def test_error_analysis_pandas(self):
      (
          X_train,
          X_test,
          y_train,
          y_test,
          feature_names,
          _,
      ) = create_iris_data()
  
      # Validate error analysis dashboard on pandas DataFrame
      # and pandas Series
      X_train = pd.DataFrame(X_train, columns=feature_names)
      X_test = pd.DataFrame(X_test, columns=feature_names)
      y_train = pd.Series(y_train)
      y_test = pd.Series(y_test)
  
      knn = sklearn.neighbors.KNeighborsClassifier()
      knn.fit(X_train, y_train)
  
      model_task = ModelTask.Classification
      explainer = MimicExplainer(
          knn, X_train, LGBMExplainableModel, model_task=model_task
      )
      global_explanation = explainer.explain_global(X_test)
  
      ErrorAnalysisDashboard(
          global_explanation, knn, dataset=X_test, true_y=y_test
      )
  
imports: import numpy
  import pandas
  import shap
  import sklearn
  from interpret.ext.blackbox import MimicExplainer
  from interpret.ext.glassbox import LGBMExplainableModel
  from interpret_community.common.constants import ModelTask
  from sklearn.datasets import load_iris, make_classification
  from sklearn.model_selection import train_test_split
  from erroranalysis._internal.constants import Metrics, metric_to_display_name
  from erroranalysis._internal.surrogate_error_tree import DEFAULT_MAX_DEPTH, DEFAULT_MIN_CHILD_SAMPLES, DEFAULT_NUM_LEAVES
  from raiwidgets import ErrorAnalysisDashboard
  from raiwidgets.explanation_constants import WidgetRequestResponseConstants
label_desc: Use image node_id 4 for calling the TestErrorAnalysisDashboard obj's underlying member method code with example usage: obj.test_error_analysis_pandas() without return types