fromiter(iter, dtype, count=-1, *, like=None)
Specify :None:None:`count` to improve performance. It allows fromiter
to pre-allocate the output array, instead of resizing it on demand.
An iterable object providing data for the array.
The data-type of the returned array.
The number of items to read from iterable. The default is -1, which means all data is read.
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like
supports the __array_function__
protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.
The output array.
Create a new 1-dimensional array from an iterable object.
>>> iterable = (x*x for x in range(5))See :
... np.fromiter(iterable, float) array([ 0., 1., 4., 9., 16.])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.asanyarray
numpy.asarray_chkfinite
numpy.fromstring
numpy.asarray
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