首页np.random.randn(8)

np.random.randn(8)

时间: 2023-10-22 20:26:08 浏览: 137

np.random.randn(8)是一个numpy函数，用于生成一个包含8个元素的数组，其中每个元素都是服从标准正态分布（均值为0，标准差为1）的随机数。 123 #### 引用[.reference_title] - *1* [为什么你用不好Numpy的random函数？](https://blog.csdn.net/weixin_30693683/article/details/97540604)[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_2"}}] [.reference_item style="max-width: 33.333333333333336%"] - *2* [Numpy中np.random.rand()和np.random.randn() 用法和区别详解](https://download.csdn.net/download/weixin_38546622/13706514)[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_2"}}] [.reference_item style="max-width: 33.333333333333336%"] - *3* [详述numpy中的np.random.rand()、np.random.randn()、np.random.randint()、np.random.uniform()函数的用法](https://blog.csdn.net/BaoITcore/article/details/125273828)[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_2"}}] [.reference_item style="max-width: 33.333333333333336%"] [ .reference_list ]

阅读全文