code: def test_shift_mu():
      series = pd.Series([1, 3, 5, 7, 166])
      shift_by = 0.7
      expected = pd.Series([26.48, 28.48, 30.48, 32.48, 191.48])
      new_series = shift_mu(col=series, perc=shift_by)
      map(np.testing.assert_approx_equal, zip(expected, new_series))
  
file_path: fklearn/tests/validation/test_perturbators.py
imports: from fklearn.validation.perturbators import shift_mu, random_noise, nullify, sample_columns, perturbator
  import pandas
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: test_shift_mu() without return types