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# numpy.ma.empty_like

`numpy.ma.``empty_like`(a)

  Return a new array with the same shape and type as a given array.

  Parameters : | a : array_like The shape and data-type of a define these same attributes of the returned array.
  Returns : | out : ndarray Array of random data with the same shape and type as a.

  See also

  `ones_like`
    Return an array of ones with shape and type of input.
  `zeros_like`
    Return an array of zeros with shape and type of input.
  `empty`
    Return a new uninitialized array.
  `ones`
    Return a new array setting values to one.
  `zeros`
    Return a new array setting values to zero.

  Notes

  This function does not initialize the returned array; to do that use zeros_like or ones_like instead. It may be marginally faster than the functions that do set the array values.

  Examples

      >>> a = ([1,2,3], [4,5,6])                         # a is array-like
      >>> np.empty_like(a)
      array([[-1073741821, -1073741821,           3],    #random
             [          0,           0, -1073741821]])
      >>> a = np.array([[1., 2., 3.],[4.,5.,6.]])
      >>> np.empty_like(a)
      array([[ -2.00000715e+000,   1.48219694e-323,  -2.00000572e+000],#random
             [  4.38791518e-305,  -2.00000715e+000,   4.17269252e-309]])

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