Create a new 1-dimensional array from an iterable object.
Specify count to improve performance. It allows fromiter to pre-allocate the output array, instead of resizing it on demand.
>>> iterable = (x*x for x in range(5)) >>> np.fromiter(iterable, float) array([ 0., 1., 4., 9., 16.])
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