numpy中np.column_stack()和np.row_stack()

在numpy庫中，對於矩陣的合併操作用兩種方法：

行合併：np.row_stack()

列合併：np.column_stack()

具體操作見下面的程序：

>>> import numpy as np
>>> a=np.arange(16).reshape(4,-1)
>>> a
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11],
       [12, 13, 14, 15]])
>>> b=np.arange(16,32).reshape(4,-1)
>>> b
array([[16, 17, 18, 19],
       [20, 21, 22, 23],
       [24, 25, 26, 27],
       [28, 29, 30, 31]])
>>> test=np.row_stack((a,b))#行合併
>>> test
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11],
       [12, 13, 14, 15],
       [16, 17, 18, 19],
       [20, 21, 22, 23],
       [24, 25, 26, 27],
       [28, 29, 30, 31]])
>>> test=np.column_stack((a,b))#列合併
>>> test
array([[ 0,  1,  2,  3, 16, 17, 18, 19],
       [ 4,  5,  6,  7, 20, 21, 22, 23],
       [ 8,  9, 10, 11, 24, 25, 26, 27],
       [12, 13, 14, 15, 28, 29, 30, 31]])
>>>