我有一个使用numpy创建的（5,5,5,5）矩阵，如下所示：
[[[[0.64 0.16 0. 0. 0. ]
[0. 0.64 0.16 0. 0. ]
[0. 0. 0.64 0.16 0. ]
[0. 0. 0. 0.64 0.16]
[0. 0. 0. 0. 0.8 ]]
[[0.16 0.04 0. 0. 0. ]
[0. 0.16 0.04 0. 0. ]
[0. 0. 0.16 0.04 0. ]
[0. 0. 0. 0.16 0.04]
[0. 0. 0. 0. 0.2 ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]]
[[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0.64 0.16 0. 0. 0. ]
[0. 0.64 0.16 0. 0. ]
[0. 0. 0.64 0.16 0. ]
[0. 0. 0. 0.64 0.16]
[0. 0. 0. 0. 0.8 ]]
[[0.16 0.04 0. 0. 0. ]
[0. 0.16 0.04 0. 0. ]
[0. 0. 0.16 0.04 0. ]
[0. 0. 0. 0.16 0.04]
[0. 0. 0. 0. 0.2 ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]]
[[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0.64 0.16 0. 0. 0. ]
[0. 0.64 0.16 0. 0. ]
[0. 0. 0.64 0.16 0. ]
[0. 0. 0. 0.64 0.16]
[0. 0. 0. 0. 0.8 ]]
[[0.16 0.04 0. 0. 0. ]
[0. 0.16 0.04 0. 0. ]
[0. 0. 0.16 0.04 0. ]
[0. 0. 0. 0.16 0.04]
[0. 0. 0. 0. 0.2 ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]]
[[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0.64 0.16 0. 0. 0. ]
[0. 0.64 0.16 0. 0. ]
[0. 0. 0.64 0.16 0. ]
[0. 0. 0. 0.64 0.16]
[0. 0. 0. 0. 0.8 ]]
[[0.16 0.04 0. 0. 0. ]
[0. 0.16 0.04 0. 0. ]
[0. 0. 0.16 0.04 0. ]
[0. 0. 0. 0.16 0.04]
[0. 0. 0. 0. 0.2 ]]]
[[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. ]]
[[0.8 0.2 0. 0. 0. ]
[0. 0.8 0.2 0. 0. ]
[0. 0. 0.8 0.2 0. ]
[0. 0. 0. 0.8 0.2 ]
[0. 0. 0. 0. 1. ]]]]
我如何有效地将其转换为（25,25）矩阵，其第一行是前五个（5,5）块的第一行的串联，而第二行是该矩阵的第二行的串联前（5,5）个块，依此类推？例如，给定我的输入矩阵，输出矩阵的第一行应为：
[0.64 0.16 0. 0. 0. 0.16 0.04 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. ]
第六行应是第6到第10个5×5块的第一行的组合，即：
[0. 0. 0. 0. 0. 0.64 0.16 0. 0. 0. 0.16
0.04 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. ]
我尝试了numpy.reshape（input，（25,25）），但没有得到我想要的结果。任何帮助表示赞赏！
答案 0 :(得分：2)
在重塑之前，请使用swapaxes（或transpose）重新排列轴的顺序：
In [48]: y = x.swapaxes(1,2).reshape(25,25)
In [49]: y[0]
Out[49]:
array([0.64, 0.16, 0. , 0. , 0. , 0.16, 0.04, 0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,
0. , 0. , 0. ])
In [50]: y[5]
Out[50]:
array([0. , 0. , 0. , 0. , 0. , 0.64, 0.16, 0. , 0. , 0. , 0.16,
0.04, 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,
0. , 0. , 0. ])