win32api导入
为什么我下载了pywin32能够导入win32模块
import win32
却导入不了win32api
显示没有这个模块。 你是怎么导入的? isdkz 发表于 2022-4-1 14:25
你是怎么导入的?
额,经你这么一说,我试了一下。发现要from win32 import win32api 这样才能导入win32api 2022@lif 发表于 2022-4-1 14:31
额,经你这么一说,我试了一下。发现要from win32 import win32api 这样才能导入win32api
好吧,不知道你那里什么问题,{:10_277:} 我这是可以直接导入的:
isdkz 发表于 2022-4-1 14:39
好吧,不知道你那里什么问题, 我这是可以直接导入的:
额,那这是为什么?data:image/png;base64,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
isdkz 发表于 2022-4-1 14:39
好吧,不知道你那里什么问题, 我这是可以直接导入的:
???我也试了一下,在这个工具里确实可以。但是在IDLE里就不行,在.py文件里也不行。
2022@lif 发表于 2022-4-1 14:48
???我也试了一下,在这个工具里确实可以。但是在IDLE里就不行,在.py文件里也不行。
没问题
你装了多个版本的 python?或者是用 pychram 执行的 python 文件?
data:image/png;base64,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额,这就不知道是啥毛病了
页:
[1]