A flatiter
iterator is returned by x.flat
for any array :None:None:`x`. It allows iterating over the array as if it were a 1-D array, either in a for-loop or by calling its :None:None:`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.
A flatiter
iterator can not be constructed directly from Python code by calling the flatiter
constructor.
Flat iterator object to iterate over arrays.
ndarray.flat
Return a flat iterator over an array.
ndarray.flatten
Returns a flattened copy of an array.
>>> 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])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.lib.arrayterator.Arrayterator
numpy.nditer
numpy.ndindex
numpy.ndenumerate
numpy.flatiter
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