首页import random import pandas as pd random_numbers = [round(random.uniform(0.85, 0.89), 4) for _ in range(36)] random_numbers_2d = [random_numbers[i:i + 4] for i in range(0, len(random_numbers), 4)] data = pd.DataFrame(random_numbers_2d) data.to_excel('random_numbers.xlsx', index=False, header=False)

import random import pandas as pd random_numbers = [round(random.uniform(0.85, 0.89), 4) for _ in range(36)] random_numbers_2d = [random_numbers[i:i + 4] for i in range(0, len(random_numbers), 4)] data = pd.DataFrame(random_numbers_2d) data.to_excel('random_numbers.xlsx', index=False, header=False)

时间: 2024-04-23 18:28:58 浏览: 186

这段代码是使用Python中的random模块生成一组随机数，并将其保存到Excel文件中。首先，通过import random导入random模块和import pandas as pd导入pandas模块。然后，使用列表推导式生成36个位于0.85和0.89之间的随机数，并使用round函数将其保留四位小数。接下来，使用列表切片将这些随机数分成9行4列的二维列表。然后，使用pandas的DataFrame函数将二维列表转换为数据框，并使用to_excel方法将数据框保存为Excel文件，文件名为random_numbers.xlsx，同时设置index参数为False以去除行索引，header参数为False以去除列名。 #### 引用[.reference_title] - *1* [Python语言程序设计笔记](https://blog.csdn.net/qq_46458188/article/details/122703783)[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^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item] - *2* *3* [(转载)[python学习笔记]Python语言程序设计(北理工嵩天)](https://blog.csdn.net/StefanCharlie/article/details/83189202)[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^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item] [ .reference_list ]

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