class_docstr: FeatureImportances visualizer
class_docstr_tok: ["FeatureImportances","visualizer"]
docstr: Integration test of visualizer with pandas
docstr_tok: ["Integration","test","of","visualizer","with","pandas"]
code: def test_missingvaluesbar_pandas_no_features_passed(self):
      """
      Integration test of visualizer with pandas
      """
      X, y = make_classification(
          n_samples=400,
          n_features=20,
          n_informative=8,
          n_redundant=8,
          n_classes=2,
          n_clusters_per_class=4,
          random_state=854,
      )
  
      # add nan values to a range of values in the matrix
      X[X > 1.5] = np.nan
      X_ = pd.DataFrame(X)
  
      viz = MissingValuesBar()
      viz.fit(X_)
      viz.finalize()
  
      self.assert_images_similar(viz, tol=self.tol)
  
file_path: yellowbrick/tests/test_contrib/test_missing/test_bar.py
imports: import os
  import pytest
  import numpy
  from tests.base import VisualTestCase
  from sklearn.datasets import make_classification
  from yellowbrick.contrib.missing.bar import *
label_desc: Use image node_id 2 for calling the TestMissingBarVisualizer obj's underlying member method code with example usage: obj.test_missingvaluesbar_pandas_no_features_passed() without return types