code: def test_clean_data_X_only_no_nans():
      """Test that an array with no nulls is returned intact."""
      X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
  
      observed = filter_missing(X)
      np.testing.assert_array_equal(X, observed)
  
file_path: yellowbrick/tests/test_utils/test_nan_warnings.py
imports: import numpy
  import pytest
  from yellowbrick.exceptions import DataWarning
  from yellowbrick.utils.nan_warnings import count_nan_elements, count_rows_with_nans, warn_if_nans_exist, filter_missing
label_desc: Use image node_id 4 for calling a global function with example usage: test_clean_data_X_only_no_nans() without return types