[英]How to get user-defined methods name?
I'm trying to get all the user-defined methods name from a class, ex:我正在尝试从 class 获取所有用户定义的方法名称,例如:
class MyClass:
def __init__(self, param1, param2):
pass
def one_method(self):
pass
def __repr__(self):
pass
def __str__(self):
pass
def __my_method_no_2(self, param2):
pass
def _my_method_no_3(self):
pass
so far I have come to the following approach:到目前为止,我已经采用以下方法:
import inspect
[name for name, _ in inspect.getmembers(MyClass, inspect.isroutine)
if name not in {'__init_subclass__', '__subclasshook__'} and
getattr(MyClass, name).__qualname__.startswith(MyClass.__name__)]
output: output:
['_MyClass__my_method_no_2',
'__init__',
'__repr__',
'__str__',
'_my_method_no_3',
'one_method']
this is the expected output, but this looks "ugly" and not even sure if is the right approach这是预期的 output,但这看起来“丑陋”,甚至不确定是否是正确的方法
In Python 3.x
, you can use dir without inspect or any external libraries:在
Python 3.x
中,您可以使用dir而无需 检查或任何外部库:
method_list = [func for func in dir(Foo) if callable(getattr(Foo, func))]
To handle every method that you newly define in your class and override in your class, Try this:要处理您在 class 中新定义并在 class 中覆盖的每个方法,试试这个:
class MyClass:
li = []
def __init__(self, param1, param2):
pass
def one_method(self):
pass
def __repr__(self):
pass
def __str__(self):
pass
def __my_method_no_2(self, param2):
pass
def _my_method_no_3(self):
pass
print([func for func in dir(MyClass) if callable(getattr(MyClass, func)) and func in MyClass.__dict__])
Outputs:输出:
['_MyClass__my_method_no_2', '__init__', '__repr__', '__str__', '_my_method_no_3', 'one_method']
Got the idea from here , but using __dict__
instead of dir
.从这里得到想法,但使用
__dict__
而不是dir
。
Every python objects has a __dict__
attribute containing names of all attributes.每个 python 对象都有一个
__dict__
属性,其中包含所有属性的名称。 Relevant docshere相关文档在这里
The idea is: get a list of attributes from __dict__
and filter out everything non-callable这个想法是:从
__dict__
获取属性列表并过滤掉所有不可调用的内容
[attr for attr in MyClass.__dict__ if callable(getattr(MyClass, attr))]
Matches with your output与您的 output 匹配
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.