code: def test_numpy_inplace():
      ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
  
      standardize(ary, [1])
  
      ary = ary_expc = np.array(
          [
              [1, 1.46385],
              [2, 0.87831],
              [3, 0.29277],
              [4, -0.29277],
              [5, -0.87831],
              [6, -1.46385],
          ]
      )
  
      np.testing.assert_allclose(ary, ary_expc, rtol=1e-03)
  
file_path: mlxtend/mlxtend/preprocessing/tests/test__scaling__standardizing.py
imports: import numpy
  import pandas
  from mlxtend.preprocessing import standardize
label_desc: Use image node_id 4 for calling a global function with example usage: test_numpy_inplace() without return types