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# numpy.zeros_like

`numpy.``zeros_like`(a)

  Returns an array of zeros with the same shape and type as a given array.

  Equivalent to `a.copy().fill(0)`.

  Parameters: | a : array_like The shape and data-type of a defines the parameters of the returned array.
  Returns: | out : ndarray Array of zeros with same shape and type as a.

  See also

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

  Examples

      >>> x = np.arange(6)
      >>> x = x.reshape((2, 3))
      >>> x
      array([[0, 1, 2],
             [3, 4, 5]])
      >>> np.zeros_like(x)
      array([[0, 0, 0],
             [0, 0, 0]])

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