old_contents: __author__ = 'adrie_000'
  
  import numpy as np
  import numpy.matrixlib as nm
  
  p = nm.matrix([[3, 3, 3], [3, 5, 7]])
  q = p - p.mean(1)
  print q
  r = [np.array([q.getA()[0][k], q.getA()[1][k]]) for k in range(q.shape[1])]
  print r
  d = [np.linalg.norm(w) for w in r]
  print d
new_contents: __author__ = 'adrie_000'
  
  import numpy as np
  import numpy.matrixlib as nm
  'test'
  p = nm.matrix([[3, 3, 3], [3, 5, 7]])
  q = p - p.mean(1)
  print q
  r = [np.array([q.getA()[0][k], q.getA()[1][k]]) for k in range(q.shape[1])]
  print r
  d = [np.linalg.norm(w) for w in r]
  print d
subject: Test de pycharm par Simon.