def __init__(self, nestedList): """ Initialize your data structure here. :type nestedList: List[NestedInteger] """ self.queue = deque() # 遍历得到所有的元素 self._get_elements(nestedList) # 统计元素的个数 self.count = len(self.queue) def _get_elements(self, nestedList): for item ...
https://leetcode.com/problems/flatten-nested-list-iterator/ 展平嵌套的list。 从调用的方式来看,总会调用到最后,所以在构造函数中递归展开所有的数放到一位数组中。 另一种方式是把nested list压到栈中,需要的时候再从栈中拿。 注意需要调用注释中的isInteger(),getInteger()和getList()三个方法。 1#"""2...
Convert Nested List To A Flat List In Python def flatten(li): return sum(([x] if not isinstance(x, list) else flatten(x) for x in li), []) print(flatten([1, 2, [3], [4, [5, 6]]])) Output: [1, 2, 3, 4, 5, 6] ...
Given a nested list of integers, implement an iterator to flatten it. Each element is either an integer, or a list – whose elements may also be integers or other lists. Example 1: Given the list [[1,1],2,[1,1]], By calling next repeatedly until hasNext returns false, the order o...
flatten-nested-list-iterator 扁平化嵌套列表迭代器 python3 时间:2021-02-05 题目地址: https://leetcode-cn.com/problems/flatten-nested-list-iterator/ 题目难度: Medium 题目描述: 给你一个嵌套的整型列表。请你设计一个迭代器,使其能够遍历这个整型列表中的所有整数。 列表中的每一项或者为一个整数,或者...
stack.push(nestedList.get(i)); } } } /** * Your NestedIterator object will be instantiated and called as such: * NestedIterator i = new NestedIterator(nestedList); * while (i.hasNext()) v[f()] = i.next(); */ Python: stack ...
python ×5 dictionary ×2 javascript ×2 recursion ×2 algorithm ×1 attributes ×1 clojure ×1 flatten ×1 function ×1 hierarchical-data ×1 html ×1 hyperlink ×1 jquery ×1 json ×1 list ×1 list-comprehension ×1 python-2.7 ×1 python-2.x ×1 python-3.x ×1 regex ×1 ruby-...
我试过max(list, key=itemgetter(1))[0]没有运气。 pythonnestedtupleslist use*_*959 2020 11-03 3 推荐指数 1 解决办法 214 查看次数 如何避免使用双循环来改进这种方法? 我在一次采访中被要求在没有嵌套 for 循环的情况下重写这个方法。除此之外,我只知道数组的大小相同。什么是解决这个问题的好方法?
Flatten Nested List Iterator展开嵌套列表的迭代器 Given a nested list of integers, implement an iterator to flatten it. Each element is either an integer, or a list -- whose elements may also be integers or other lists. Example 1: Example 2: 题......
{"name":"Riya","age":22,"Gender":'female'},"profession":[{'field':"Teacher","salary":20000}]}]# Customizing Separatorresult=pd.json_normalize(data,"profession",["person_id",["Details","name"],["Details","age"]],sep="@")print('Flatten DataFrame with custom separator:')print(...