input函数在不同模式下的问题
在交互模式里面 temp = input("请数成绩") 就会报错data:image/png;base64,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
而在编辑器模式里面就可以运行 为什么呢?
在交互模式下,输入函数 input() 会等待用户输入,并将输入的内容作为字符串返回。但是交互模式下,用户输入的内容是没有办法通过标准输入流传递给程序的,因此会出现错误。
而在编辑器模式下,用户输入的内容可以通过标准输入流传递给程序,因此可以正常运行。
如果想在交互模式下使用 input() 函数,可以在命令行中执行 Python 脚本文件,或者使用 IDE 等工具来运行程序。 交互模式也不会报错吧 isdkz2023-5-24 09:18
input()...
лл Β isdkz2023-5-24 09:18
input()...
лл aerodriver 发表于 2023-5-24 09:56
лл Β
chatgpt瞎扯了,input在两个模式都没有区别 这是因为在交互模式和编辑器模式下,Python 解释器的工作方式不同。
在编辑器模式下,整个程序在执行之前就已经准备完毕,并且可以预先检测到所有变量的类型。因此,当您调用类似 input() 这样的函数时,Python 解释器可以根据函数返回值的类型来推断变量的类型,并将其赋给正确的变量名。
而在交互模式下,Python 解释器是一行一行地执行代码,并且无法预先知道将要输入的是什么类型的数据。因此,当您调用类似 input() 的函数时,Python 解释器无法推断应该将输入转换成什么数据类型。而 input() 函数默认返回字符串类型,所以您需要将返回的字符串类型转换为您希望的数据类型,例如:
python
temp = input("请输入成绩:")
score = float(temp)
在这个例子中,input() 函数返回的字符串类型被转换为浮点数类型,然后赋值给了 score 变量。
因此,在交互模式下,您需要手动确保变量类型的正确性,而在编辑器模式下,Python 解释器可以自动完成这个任务。 2023-5-24 12:53
Python
...
thanks for the answer .
temp = input()
temp
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