Get a copy of the iterator in its current state.
Examples
>>> x = np.arange(10) >>> y = x + 1 >>> it = np.nditer([x, y]) >>> it.next() (array(0), array(1)) >>> it2 = it.copy() >>> it2.next() (array(1), array(2))
numpy.nditer.shape
numpy.nditer.debug_print
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