i % 2 == 0i % 2 != 0continueprint(i)i > 10i <= 10StartCheckConditionEvenOddSkipNextIterationPrintValueEnd 在这个状态图中,我们看到程序从Start状态开始,进入到CheckCondition。如果当前的数字是偶数,程序将跳转到Skip状态,使用continue跳过打印。而如果是奇数,则会进入PrintValue状态,打印该值。 使用场景与...
为了进一步展示skip函数的工作流程,我们可以使用序列图。以下是这个函数执行过程中的消息传递顺序。 IterableskipFunctionClientIterableskipFunctionClientalt[Condition is False][Condition is True]Get items from iterableCall skip(iterable, condition)Start iterationReturn itemCheck conditionReturn itemContinue iteration ...
这个时候for循环直接迭代可迭代对象,进入可迭代对象的__iter__方法,得到迭代器SkipElementsGenerator,调用迭代器的__next__方法进行迭代。 不像上一个例子一样是迭代迭代器。 for循环是先找到可迭代对象的迭代器,通过__iter__方法,然后对迭代器进行迭代,迭代是通过迭代器的__next__方法 这样写的话可以实现函数的...
self.offset+=2returnitemclassSkipObject:def__init__(self,wrapped): self.wrapped=wrappeddef__iter__(self):returnSkipIterator(self) alpha='abcdef'skipper=SkipObject(alpha) I=iter(skipper)print(next(I),next(I),next(I))#a c eforxinskipper:foryinskipper:print(x+y, end='')#aa ac ae c...
File"iteration.py", line19,in__next__raiseStopIteration StopIteration 我们实例化了MyIterator,然后为了获取它的值,我们多次调用了next()。当序列到头时,next()会抛出异常StopIteration。Python 中的for循环使用了同样的机制,它调用迭代器的next(),通过获取异常StopIteration得知何时停止。
forxinrange(3):print("Printing:",x)# Output# Printing: 0# Printing: 1# Printing: 2 Copy The range function also takes another parameter apart from the start and the stop. This is thestep parameter. It tells the range function how many numbers to skip between each count. ...
# Assume that this list gets updated automatically events_list = [] # Run the event loop while True: # If events_list is empty, then no events have occurred and you # can skip to the next iteration of the loop if events_list == []: continue # If execution reaches this point, then...
and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head ...
If the answer is no (which is perfectly okay), take a deep breath, and read the explanation (and if you still don't understand, shout out! and create an issue here). If yes, give a gentle pat on your back, and you may skip to the next example.👀...
itertuples(): 按行遍历，将DataFrame的每一行迭代为元祖，可以通过row[name]对元素进行访问，比iterrows...