order : {‘C’, ‘F’, ‘A’, ‘K’}, optional

‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to flatten in column-major order if a

 is Fortran contiguous in memory, row-major order otherwise. ‘K’ means to flatten a in the order the elements occur in memory. The default is ‘C’.

y : ndarray

A copy of the input array, flattened to one dimension.

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from numpy import *

>>>a=array([[1,2],[3,4],[5,6]])  ###此時a是一個array物件

>>>a

array([[1,2],[3,4],[5,6]])

>>>a.flatten()

array([1,2,3,4,5,6])

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>>> a=mat([[1,2,3],[4,5,6]])

>>> a

matrix([[1, 2, 3],

        [4, 5, 6]])<br>>>> a.flatten()<br>matrix([[1, 2, 3, 4, 5, 6]])<br>

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>>> a=[[1,2,3],[4,5,6],['a','b']]

>>> a

[[1, 2, 3], [4, 5, 6], ['a', 'b']]

>>> a.flatten()                      ###報錯

Traceback (most recent call last):

  File "<stdin>", line 1, in <module>

AttributeError: 'list' object has no attribute 'flatten'

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>>> [y for x in a for y in x]

[1, 2, 3, 4, 5, 6, 'a', 'b']