numpy.flatiter#

class numpy.flatiter[source]#

Flat iterator object to iterate over arrays.

A flatiter iterator is returned by x.flat for any array x. It allows iterating over the array as if it were a 1-D array, either in a for-loop or by calling its next method.

Iteration is done in row-major, C-style order (the last index varying the fastest). The iterator can also be indexed using basic slicing or advanced indexing.

See also

ndarray.flat: Return a flat iterator over an array.
ndarray.flatten: Returns a flattened copy of an array.

Notes

A flatiter iterator can not be constructed directly from Python code by calling the flatiter constructor.

Examples

>>> x = np.arange(6).reshape(2, 3)
>>> fl = x.flat
>>> type(fl)
<class 'numpy.flatiter'>
>>> for item in fl:
...     print(item)
...
0
1
2
3
4
5

>>> fl[2:4]
array([2, 3])

Attributes

base: A reference to the array that is iterated over.
coords: An N-dimensional tuple of current coordinates.
index: Current flat index into the array.

Methods

copy()

Get a copy of the iterator as a 1-D array.

numpy.nested_iters

numpy.flatiter.copy