numpy中reshape()函數對三維數組進行轉換成二維數組,見下面例子:數組
1 >>>a=np.reshape(np.arange(18),(3,3,2)) 2 >>> a 3 array([[[ 0, 1], 4 [ 2, 3], 5 [ 4, 5]], 6 7 [[ 6, 7], 8 [ 8, 9], 9 [10, 11]], 10 11 [[12, 13], 12 [14, 15], 13 [16, 17]]]) 14 >>>a=reshape(a,(-1,3)) 15 >>>a 16 array([[ 0, 1, 2], 17 [ 3, 4, 5], 18 [ 6, 7, 8], 19 [ 9, 10, 11], 20 [12, 13, 14], 21 [15, 16, 17]]) 22 23 >>>a=np.reshape(np.arange(18),(2,3,3)) 24 >>>a 25 array([[[ 0, 1, 2], 26 [ 3, 4, 5], 27 [ 6, 7, 8]], 28 29 [[ 9, 10, 11], 30 [12, 13, 14], 31 [15, 16, 17]]]) 32 >>>a=np.reshape(a,(-1,3)) 33 >>>array([[ 0, 1, 2], 34 [ 3, 4, 5], 35 [ 6, 7, 8], 36 [ 9, 10, 11], 37 [12, 13, 14], 38 [15, 16, 17]])
易見,對reshape()裏面的數組形狀第一個爲-1,第二個爲第二維元素的數目。那麼就會對原來的全部元素進行一個平均分配獲得一個二維數組。函數