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# numpy.fromiter

`numpy.``fromiter`(iterable, dtype, count=-1)

  Create a new 1-dimensional array from an iterable object.

  Parameters: | iterable : iterable object An iterable object providing data for the array. dtype : data-type The data type of the returned array. count : int, optional The number of items to read from iterable. The default is -1, which means all data is read.
  Returns: | out : ndarray The output array.

  Notes

  Specify `count` to improve performance. It allows `fromiter` to pre-allocate the output array, instead of resizing it on demand.

  Examples

      >>> iterable = (x*x for x in range(5))
      >>> np.fromiter(iterable, np.float)
      array([  0.,   1.,   4.,   9.,  16.])

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