当我们对类的对象使用这些函数或者运算符时python解释器就会自动调用类中对应的魔法方法。 Iterable可迭代对象 iterable官方API An object capable of returning its members one at a time. Examples of iterables include all sequence types (such as list, str, and tuple) and some non-sequence types like dic...
This article explores how to properly usePythoniterables by focusing on the language’s built-in iterable data types: lists, tuples, dictionaries, strings, and sets. It also explains how to implement custom iterable types and perform advanced operations. How To Loop Through Python Iterables In ...
代码语言:python 代码运行次数:1 运行 AI代码解释 classMyIterator:def__init__(self,data):self.data=data self.index=0def__iter__(self):returnselfdef__next__(self):ifself.index>=len(self.data):raiseStopIteration value=self.data[self.index]self.index+=1returnvalue# 使用迭代器my_list=[1,2,...
import types # yield 方式 def my_generator(): for i in range(3): yield i g = my_generator() print(type(g)) # <class 'generator'> isinstance(g, types.GeneratorType) # True next(g) # 0 next(g) # 1 next(g) # 2 next(g) # exception StopIteration # 使用生成器表达式 l = [i...
An object representing a stream of data. Repeated calls to the iterator’s next__() method (or passing it to the built-in function next()) return successive items in the stream. When no more data are available a StopIteration exception is raised instead. At this point, the iterator object...
可见Iterable是Iterator的基类,不同的是Iterator实现了一个抽象方法__next__,来看python的官方文档的定义(docs.python.org/3.8/glo): An object representing a stream of data. Repeated calls to the iterator’s __next__() method (or passing it to the built-in function next()) return successive item...
For these types of small operations, we can use _lambda expressions_, which let us define one-expression-long functions in place. They look something like this: lambda parameter1, parameter2, ...: expression Learn Data Science with
In this tutorial, you’ll learn:How Python’s map() works How to transform different types of Python iterables using map() How to combine map() with other functional tools to perform more complex transformations What tools you can use to replace map() and make your code more Pythonic...
By checking that the data types are suitable for joining (such as ensuring both are iterable), you can avoid encountering errors and ensure smooth execution of thejoin()method in your Python code. Thus, it is advised that we ensure that the object passed to thejoin()method is iterable. If...
https://docs.python.org/3/reference/datamodel.html?highlight=container https://docs.python.org/3/tutorial/classes.html#iterators https://docs.python.org/3/library/stdtypes.html#iterator-types https://docs.python.org/3/glossary.html#term-iterable ...