type t = [ `Flatiter | `Object ] Obj.tval of_pyobject : Py.Object.t -> tval to_pyobject : [> tag ] Obj.t -> Py.Object.tval create : unit -> tFlat 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
>>> fl2:4 array(2, 3)
val __getitem__ : key:Py.Object.t -> [> tag ] Obj.t -> Py.Object.tReturn selfkey.
val __iter__ : [> tag ] Obj.t -> Py.Object.tImplement iter(self).
val __setitem__ :
key:Py.Object.t ->
value:Py.Object.t ->
[> tag ] Obj.t ->
Py.Object.tSet selfkey to value.
val to_string : t -> stringPrint the object to a human-readable representation.
val show : t -> stringPrint the object to a human-readable representation.
val pp : Format.formatter -> t -> unitPretty-print the object to a formatter.