Reshapes-MATLAB-Like-Python
Reshape arrays row-wisely like python.
MATLAB-Reshapes-Like-Python
Reshape arrays row-wisely like python.
RESHAPE(A, new_size)
Usage:
A is an array
new_size is an array represents the shape of the new n-dimensional matrix. [new_size_1, new_size_2, ..., new_size_n] The shape have to be compatable.
It will return the reshaped array. The computation time is propotional to the number of indices of the tensor, not the number of the elements.
Examples
In MATLAB
>> a = 1:6;
>>
>> b = RESHAPE(a, [2,3])
b =
1 2 3
4 5 6
>> b = RESHAPE(a, [2,1,3])
b(:,:,1) =
1
4
b(:,:,2) =
2
5
b(:,:,3) =
3
6
>> b = RESHAPE(a, [2,3,1])
b =
1 2 3
4 5 6
>> a = RESHAPE(b, [1, 6])
a =
1 2 3 4 5 6
>>
The array is reshaped in matlab as in python, except the indices of matlab start with 1 while indices of python start with 0.
>>> import numpy as np
>>> a = np.linspace(1, 6, 6)
>>> b = a.reshape(2,3)
>>> b
array([[1., 2., 3.],
[4., 5., 6.]])
>>> b = a.reshape(2,1,3)
>>> b
array([[[1., 2., 3.]],
[[4., 5., 6.]]])
>>> b[:,:,1]
array([[2.],
[5.]])
>>> b[:,:,0]
array([[1.],
[4.]])
>>> b[:,:,2]
array([[3.],
[6.]])
>>> b = a.reshape(2,3,1)
>>> b
array([[[1.],
[2.],
[3.]],
[[4.],
[5.],
[6.]]])
>>> b[:,:,0]
array([[1., 2., 3.],
[4., 5., 6.]])
>>> a = b.reshape(1, 6)
>>> a
array([[1., 2., 3., 4., 5., 6.]])
引用格式
Yintai (2026). Reshapes-MATLAB-Like-Python (https://github.com/zhangyintai/MATLAB-Reshapes-Like-Python), GitHub. 检索时间: .
无法下载基于 GitHub 默认分支的版本
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.0 |
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要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。
