numpy.fromiter

numpy.fromiter(iterable, dtype, count=-1, *, like=None)

Create a new 1-dimensional array from an iterable object.

Parameters

iterableiterable object

An iterable object providing data for the array.

dtypedata-type

The data-type of the returned array.

countint, optional

The number of items to read from iterable. The default is -1, which means all data is read.

likearray_like

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.

Note

The like keyword is an experimental feature pending on acceptance of NEP 35.

New in version 1.20.0.

Returns

outndarray

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, float)
array([  0.,   1.,   4.,   9.,  16.])

numpy.fromfunction numpy.fromstring