isinstance()

在你的例子中，isinstance("this is a string"， str)将返回True。

你可能还想读这个:http://www.canonical.org/~kragen/isinstance/

我想这个就可以了

if isinstance(obj, str)

要获取类型，使用__class__成员，如unknown_thing.__class__

Talk of duck-typing is useless here because it doesn't answer a perfectly good question. In my application code I never need to know the type of something, but it's still useful to have a way to learn an object's type. Sometimes I need to get the actual class to validate a unit test. Duck typing gets in the way there because all possible objects have the same API, but only one is correct. Also, sometimes I'm maintaining somebody else's code, and I have no idea what kind of object I've been passed. This is my biggest problem with dynamically typed languages like Python. Version 1 is very easy and quick to develop. Version 2 is a pain in the buns, especially if you didn't write version 1. So sometimes, when I'm working with a function I didn't write, I need to know the type of a parameter, just so I know what methods I can call on it.

这就是__class__参数派上用场的地方。这(据我所知)是获取对象类型的最佳方法(可能是唯一的方法)。

isinstance()

在你的例子中，isinstance("this is a string"， str)将返回True。

你可能还想读这个:http://www.canonical.org/~kragen/isinstance/

我用type(x) == type(y)

例如，如果我想检查一个数组:

type( x ) == type( [] )

字符串检查:

type( x ) == type( '' ) or type( x ) == type( u'' )

如果您想检查None，请使用is

x is None

对于其他类型，请查看types模块:

>>> import types
>>> x = "mystring"
>>> isinstance(x, types.StringType)
True
>>> x = 5
>>> isinstance(x, types.IntType)
True
>>> x = None
>>> isinstance(x, types.NoneType)
True

注:类型检查是个坏主意。