numpy.fromiter — NumPy v1.11 Manual (original) (raw)
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. |
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| 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.])