Python 3中,扁平化字典中的嵌套字典和列表可以通过递归和迭代的方式实现。 扁平化字典是指将嵌套的字典结构转化为一维的键值对结构。对于嵌套字典和列表的情况,我们可以使用递归的方法来处理。 下面是一个示例代码,用于扁平化字典中的嵌套字典和列表: 代码语言:txt 复制 def flatten_dict(dictionary, parent_key=...
yield from flatten_nested_dicts([value]) else: yield (key, value) flat_data = list(flatten_nested_dicts(big_dataset))第6章 字典嵌套的最佳实践与常见问题6.1 设计原则与编码规范6.1.1 键名选择与命名约定 键名应遵循Python变量命名规则,使用全小写字母和下划线(snake_case)。为提高可读性,建议键名清晰、...
def spread(arg): ret = [] for i in arg: if isinstance(i, list): ret.extend(i) else: ret.append(i) return retdef deep_flatten(xs): flat_list = [] [flat_list.extend(deep_flatten(x)) for x in xs] if isinstance(xs, list) else flat_list.append(xs)...
Given a “flatten” dictionary object, whose keys are dot-separated. For example, {‘A’: 1, ‘B.A’: 2, ‘B.B’: 3, ‘C.D.E’: 4, ‘C.D.F’: 5}. Implement a function in any language to transform it to a “nested” dictionary object. In the above case, the neste...
nested_lists =[[1,2],[[3,4],[5,6],[[7,8],[9,10],[[11,[12,13]]]flatten =lambda x:[y for l in x for y in flatten(l)]if type(x)is list else[x]flatten(nested_lists)# This line of code is from# https://github.com/sahands/python-by-example/blob/master/python-by-e...
torch.topk【按维度求前k个最值以及其索引】以及top1和top5_flatten(0).topk-CSDN博客 torch.topk【按维度求前k个最值以及其索引】以及top1和top5 分类中常用到top1和top5的指标: top1是指 预测错误样本数/总样本数,此处的预测错误的样本是指 预测的最大概率对应的类别与真实类别不同;top5是指 预测错误...
def spread(arg):ret = []for i in arg:if isinstance(i, list):ret.extend(i)else:ret.append(i)return retdef deep_flatten(lst):result = []result.extend(spread(list(map(lambda x: deep_flatten(x) if type(x) == list else x, lst)))return resultdeep_flatten([1, [2], [[3], 4]...
下面是一个拉平(flatten)矩阵(以列表为元素的列表)的for循环: flattened = []for row in matrix: for n in row: flattened.append(n) 下面这个列表解析式实现了相同的功能: flattened = [n for row in matrix for n in row] 列表解析式中的嵌套循环读起来就有点绕口了。
一.字典(dictionary) 键值对(key-value)的集合。定义时使用花括号“{}” eg:Name = {key1:value1,key2:value2} dic = {'name':'zhangsan','id':123,'score':96} 1. 1.字典(dict)的一些基本操作: 1.1增 格式: 字典名[new key]=new value ...
2flatten = lambda x: [y for l in x for y in flatten(l)] if type(x) is list else [x] 3flatten(nested_lists) 4 5# This line of code is from 6# https:///sahands/python-by-example/blob/master/python-by-example.rst#flattening-lists ...