code: def test_top_feature(compute_backend_df):
      fig = dd.importance(compute_backend_df, "d", top_features=1)
      assert isinstance(fig, matplotlib.artist.Artist)
  
file_path: data-describe/tests/test_importance.py
imports: import pytest
  import matplotlib
  import pandas
  import numpy
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.preprocessing import LabelEncoder
  import data_describe
label_desc: Use image node_id 5 for calling a global function with example usage: test_top_feature(compute_backend_df) without return types