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) <type 'numpy.flatiter'> >>> for item in fl: ... print(item) ... 0 1 2 3 4 5
>>> fl[2:4] array([2, 3])
Attributes
coords An N-dimensional tuple of current coordinates. Methods
copy() Get a copy of the iterator as a 1-D array. next x.next() -> the next value, or raise StopIteration