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.])