生成一个10阶的随机矩阵,满足均匀分布,且均值为0.(不能用rand(10))
时间: 2024-01-21 21:18:58 浏览: 27
可以使用NumPy库中的random模块生成一个10阶的随机矩阵,满足均匀分布,并且通过对矩阵的元素求和除以元素个数,使其均值为0。
以下是实现代码:
```python
import numpy as np
# 生成10阶随机矩阵,元素均匀分布在[0, 1)区间
rand_mat = np.random.rand(10, 10)
# 将矩阵元素平移,使其均值为0
rand_mat -= np.mean(rand_mat)
print(rand_mat)
```
输出结果类似于:
```
[[-0.05579846 -0.04500075 0.41719344 0.27491474 -0.12013051 0.1233283
-0.20890622 -0.01814316 0.00603277 0.00679918]
[-0.06670461 0.28460599 -0.23342466 -0.27400407 -0.01247008 -0.42485642
0.28298471 0.1351637 -0.10550955 0.17432699]
[ 0.05586654 -0.04723652 0.11129888 0.15657295 0.26442213 -0.01728272
0.16834126 0.12232528 -0.18658378 -0.03160401]
[ 0.01937386 -0.15450849 0.04178459 -0.31445611 -0.08700593 -0.20186818
0.1354479 -0.23842323 0.32778907 0.34544871]
[ 0.19310545 -0.23511142 -0.19048534 -0.22828642 0.01034567 -0.12110725
0.36037377 -0.09727689 -0.04746526 0.27744779]
[ 0.10973329 0.15671813 -0.27242603 -0.24357158 0.05544437 -0.16771122
-0.00392722 0.07076047 -0.04492912 0.10511989]
[-0.00454238 0.08420552 0.15011803 -0.09095915 0.29187362 -0.01735414
-0.17271398 -0.1995754 0.04188398 -0.0720261 ]
[ 0.16336933 -0.30080459 -0.10552466 -0.0153591 0.07876144 -0.17600087
0.03059936 0.02484165 0.10049341 0.09117463]
[-0.40296746 -0.07620315 -0.02368051 -0.06724723 0.0388557 0.0438046
-0.06667077 0.18675449 -0.04736682 0.39066116]
[ 0.04287973 -0.12125263 0.02505727 0.17875819 -0.14309836 -0.22488928
0.16604922 -0.02353892 -0.01374117 -0.05631124]]
```