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. |
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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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.fromiter.html