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# numpy.flatiter

class `numpy.``flatiter`

  Flat iterator object to iterate over arrays.

  A `flatiter` iterator is returned by `x.flat` for any array x. It allows iterating over the array as if it were a 1-D array, either in a for-loop or by calling its `next` method.

  Iteration is done in C-contiguous style, with the last index varying the fastest. The iterator can also be indexed using basic slicing or advanced indexing.

  See also

  `ndarray.flat`
    Return a flat iterator over an array.
  `ndarray.flatten`
    Returns a flattened copy of an array.

  Notes

  A `flatiter` iterator can not be constructed directly from Python code by calling the `flatiter` constructor.

  Examples

      >>> x = np.arange(6).reshape(2, 3)
      >>> fl = x.flat
      >>> type(fl)
      <type 'numpy.flatiter'>
      >>> for item in fl:
      ...     print item
      ...
      0
      1
      2
      3
      4
      5

      >>> fl[2:4]
      array([2, 3])

  Methods

  `copy`() | Get a copy of the iterator as a 1-D array.
  `next` | x.next() -> the next value, or raise StopIteration

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