np.random.rand(n)会输出什么

`np.random.rand(n)`会输出一个长度为n的一维数组，数组中的元素是0到1之间的随机浮点数。这些随机数是从“0~1”均匀分布中随机抽取的。例如，`np.random.rand(3)`可能输出`array([0.123456, 0.789012, 0.345678])`。

代码演示如下：

import numpy as np

arr = np.random.rand(5)
print(arr)

输出：

array([0.123456, 0.789012, 0.345678, 0.901234, 0.56789 ])

相关问题

np.random.random与np.random.rand区别

np.random.random和np.random.rand都是用于生成<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* *3* [numpy中的np.random.rand、np.random.randn、np.random.randint、np.random.uniform等用法](https://blog.csdn.net/qq_29983883/article/details/131143569)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 100%"]
[ .reference_list ]

np.random.rand输出fp32

np.random.rand函数用于生成指定维度的浮点数，浮点数都是从0-1中随机。它返回一个由指定维度的数组组成的矩阵，矩阵中的每个元素都是0和1之间的随机浮点数，数据类型为fp32。[2<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [python数据分析三剑客](https://blog.csdn.net/qq_45927003/article/details/116919739)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *3* [np.random一系列(np.random.normal()、np.random.randint、np.random.randn、np.random.rand)](https://download.csdn.net/download/weixin_38733382/13745169)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]