python文件打开的问题
为什么在python3.10版本的shell中打不开文件?具体来说,就是同样的代码,在shell中就报错,在文件模式下就能正常运行。
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在Python Shell中运行文件打开代码时,可能出现错误的原因有几个可能性:
1. 文件路径问题:如果你在Python Shell中运行的代码中直接使用了相对路径打开文件,可能导致出错。Python Shell的工作目录可能与你的Python脚本的目录不同。你可以使用os.getcwd()命令查看当前工作目录,使用os.chdir(path)更改工作目录,或者在代码中使用绝对路径打开文件。
2. 文件权限问题:如果你试图打开的文件没有正确的读取权限,也会导致打开文件失败。你可以检查文件的权限,或者尝试以管理员身份运行Python Shell。
3. 环境问题:Python Shell的环境可能与你运行Python脚本的环境有所不同。例如,Python Shell可能在一个虚拟环境中运行,而Python脚本则在系统Python环境中运行。
你需要查看Python Shell中的错误信息来确定具体问题。如果你提供更多的错误信息或者代码,我可能能够提供更准确的建议。 isdkz 发表于 2023-6-7 17:39
在Python Shell中运行文件打开代码时,可能出现错误的原因有几个可能性:
1. 文件路径问题:如果你在Pyt ...
谢谢大佬 借此机会我还想再问另一个问题 korla 发表于 2023-6-9 17:11
谢谢大佬 借此机会我还想再问另一个问题
在链式赋值语句中,为什么x=y=z=a+b可能与下面三个赋值语句x=a+b,y=a+b,z=a+b不等价?
korla 发表于 2023-6-9 17:16
在链式赋值语句中,为什么x=y=z=a+b可能与下面三个赋值语句x=a+b,y=a+b,z=a+b不等价?
在 Python 语言中,链式赋值语句x=y=z=a+b和分别赋值的语句x=a+b , y=a+b , z=a+b在绝大多数情况下是等价的。这两种赋值方式的结果都是:将a + b的结果分别赋值给x ,y和z 。
但是,如果a或b在进行加法操作( a+b )时的状态发生改变,那么两种赋值方式的结果可能会不同。
例如,假设a和b是类实例,其中a的__add__方法被重载,使其在每次加法操作时修改自身的状态。那么x=a+b , y=a+b , z=a+b将执行三次加法操作,可能导致a的状态改变三次。而x=y=z=a+b只执行一次加法操作, a的状态只会改变一次。
所以,除非a和b在加法操作中的状态有可能改变,否则,这两种赋值方式在 Python 中是等价的。 好吧 谢谢大佬 这好像已经涉及到类的知识范围了 显然是我当前无法完全掌握的
还是很感谢! isdkz 发表于 2023-6-9 17:19
在 Python 语言中,链式赋值语句x=y=z=a+b和分别赋值的语句x=a+b , y=a+b , z=a+b在绝大多数情况 ...
x=
y=x
x is y
True
x1=
x1 is x
False
x is y
True
a=3
b=3
a is b
True
你看,当对象是列表时,尽管列表内容都一样,但是变量x1和x的id却不一样,可当对象是数值型时,a和b的id却又是一样的:同样的操作,只是对象类型不一样,为什么会有不同的结果?
这种情况和您刚才说的__add__重载好像又不一样
我晕了TAT korla 发表于 2023-6-9 18:06
x=
y=x
x is y
这个问题涉及到 Python 中的对象创建和赋值的概念。
当你创建一个列表x= ,Python 在内存中创建了一个新的列表对象,并将x指向它。当你执行y=x ,Python 并没有创建新的列表对象,只是创建了一个新的引用y ,并且让y和x都指向同一个列表对象。这就是为什么当你执行x is y时返回True ,因为is操作符检查的是两个引用是否指向同一个对象。
然后,当你再次创建一个列表x1= ,尽管这个列表的内容和x或y指向的列表的内容相同,但 Python 仍然会在内存中创建一个新的列表对象,并让x1指向它。这就是为什么x1 is x返回False ,因为它们指向的是两个不同的对象。
至于a=3和b=3 ,在 Python 中,一些小的整数和字符串等不可变类型在解释器启动时就会被预先分配,当你使用这些值时,Python 仅仅是创建了一个引用,指向已经存在的对象,而不是创建一个新的对象。所以, a和b实际上都是指向同一个3对象,这就是为什么a is b返回True的原因。
希望这个解释能帮助你理解 Python 中的对象和赋值的行为。
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