code: def test_multiclass_compare_iris_pandas():
      """
      Test multiclass classification in compare mode for pandas input type
      """
      df = pd.DataFrame(iris_data.data, columns=iris_data.feature_names)
      df["target"] = pd.Series(iris_data.target)
      train, test = train_test_split(df, test_size=0.3, random_state=42)
      plot.target_analysis(train.target, test.target)
  
file_path: sklearn-evaluation/tests/test_target_analysis.py
imports: import pytest
  import numpy
  import pandas
  from sklearn import datasets
  from matplotlib.testing.decorators import image_comparison
  from sklearn.model_selection import train_test_split
  from sklearn_evaluation import plot
label_desc: Use image node_id 7 for calling a global function with example usage: test_multiclass_compare_iris_pandas() without return types