code: def test_orthogonal_with_df(sample_df):
      ot = OrthogonalTransformer(normalize=False)
      ot.fit(X=sample_df)
  
      assert ot.inv_R_.shape[0] == sample_df.shape[1]
  
      trans = ot.transform(sample_df)
  
      check_is_orthogonal(trans)
  
file_path: scikit-lego/tests/test_preprocessing/test_orthogonal_transformer.py
imports: import numpy
  import pandas
  import pytest
  from sklego.common import flatten
  from sklego.preprocessing import OrthogonalTransformer
  from tests.conftest import general_checks, nonmeta_checks, select_tests, transformer_checks
label_desc: Use image node_id 8 for calling a global function with example usage: test_orthogonal_with_df(sample_df) without return types