问题描述
如果我们在一个类中定义了 __str__
方法:
class Point():def __init__(self, x, y):自我.x = x自我.y = ydef __str__(self, key):返回 '{}, {}'.format(self.x, self.y)
我们将能够定义如何将对象转换为 str
类(转换为字符串):
a = Point(1, 1)b = str(a)打印(b)
我知道我们可以定义自定义对象的字符串表示,但是我们如何定义列表——更准确地说,元组——对象的表示?
tuple
函数"(它确实是一种类型,但这意味着您可以像函数一样调用它)将接受任何可迭代对象,包括一个迭代器,作为它的参数.因此,如果您想将对象转换为元组,只需确保它是可迭代的.这意味着实现一个 __iter__
方法,该方法应该是一个生成器函数(其主体包含一个或多个 yield
表达式).例如
您可以从示例中看到,几个 Python 函数/类型将一个可迭代对象作为它们的参数,并使用它生成的值序列来生成结果.
If we define __str__
method in a class:
class Point():
def __init__(self, x, y):
self.x = x
self.y = y
def __str__(self, key):
return '{}, {}'.format(self.x, self.y)
We will be able to define how to convert the object to the str
class (into a string):
a = Point(1, 1)
b = str(a)
print(b)
I know that we can define the string representation of a custom-defined object, but how do we define the list —more precisely, tuple— representation of an object?
The tuple
"function" (it's really a type, but that means you can call it like a function) will take any iterable, including an iterator, as its argument. So if you want to convert your object to a tuple, just make sure it's iterable. This means implementing an __iter__
method, which should be a generator function (one whose body contains one or more yield
expressions). e.g.
>>> class SquaresTo:
... def __init__(self, n):
... self.n = n
... def __iter__(self):
... for i in range(self.n):
... yield i * i
...
>>> s = SquaresTo(5)
>>> tuple(s)
(0, 1, 4, 9, 16)
>>> list(s)
[0, 1, 4, 9, 16]
>>> sum(s)
30
You can see from the example that several Python functions/types will take an iterable as their argument and use the sequence of values that it generates in producing a result.
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