python - 如何深入字典并删除最深的键级别

Question

假设我有以下字典对象:

dictionary = {'First_level': {0: {'Second_level0': {0.0: {'Third_level0': {0.0: 7.0, 1.0: 3.0}}}},
      2: {'Second_level1': {0.0: 2.0, 1.0: 1.0}},
      4: {'Second_level2': {0.0: {'Third_level1': {0.0: 7.0, 1.0: 5.0}}, 1.0: 1.0}},
      6: {'Second_level3': {0.0: 6.0, 1.0: 7.0}},
      'Third_level2': 7.0}}

这个字典会自动构建，我想要一个函数来将这个字典深入到最深的键级别，并用默认值替换这个键。这里没有给出字典是三层深度，也没有给出以 Third_ 开头的键，字典也可以是 40 层深，其中最深的层键是例如 8:0 或“A”: 1

最终的字典应该看起来不错。喜欢:

dictionary = {'First_level': {0: {'Second_level0': {0.0: {'Third_level0': 1}}},
          2: {'Second_level1': {0.0: 2.0, 1.0: 1.0}},
          4: {'Second_level2': {0.0: {'Third_level1': {0.0: 7.0, 1.0: 5.0}}, 1.0: 1.0}},
          6: {'Second_level3': {0.0: 6.0, 1.0: 7.0}},
          'Third_level2': 1}}

因此 Third_level0、Third_level1 和 Third_level2 下的项目被替换为 1

到目前为止我已经尝试过:

def delve_dictionary(dictionary=dictionary,default = 1):
for key in dictionary:
    item = dictionary[key]

    if isinstance(item,dict):

        level = delve_dictionary(item)
    else: 
        key = default

return dictionary

delve_dictionary(dictionary=dictionary,default=1)

但显然这是行不通的......

{'First_level': {0: {'Second_level0': {0.0: {'Third_level0': {0.0: 7.0,
      1.0: 3.0}}}},
  2: {'Second_level1': {0.0: 2.0, 1.0: 1.0}},
  4: {'Second_level2': {0.0: {'Third_level1': {0.0: 7.0, 1.0: 5.0}},
    1.0: 1.0}},
  6: {'Second_level3': {0.0: 6.0, 1.0: 7.0}},
  'Third_level2': 7.0}}

Answer 1

假设 Third_level 键的每个最终值都应设置为 1，您可以使用递归来处理任意深度的数据:

dictionary = {'First_level': {0: {'Second_level0': {0.0: {'Third_level0': {0.0: 7.0, 1.0: 3.0}}}},
  2: {'Second_level1': {0.0: 2.0, 1.0: 1.0}},
  4: {'Second_level2': {0.0: {'Third_level1': {0.0: 7.0, 1.0: 5.0}}, 1.0: 1.0}},
  6: {'Second_level3': {0.0: 6.0, 1.0: 7.0}},
  'Third_level2': 7.0}}

def update_dict(d):
   return {a:1 if isinstance(a, str) and a.startswith('Third_level') else update_dict(b) if isinstance(b, dict) else b for a, b in d.items()}

print(update_dict(dictionary))

输出:

{'First_level': {0: {'Second_level0': {0.0: {'Third_level0': 1}}}, 2: {'Second_level1': {0.0: 2.0, 1.0: 1.0}}, 4: {'Second_level2': {0.0: {'Third_level1': 1}, 1.0: 1.0}}, 6: {'Second_level3': {0.0: 6.0, 1.0: 7.0}}, 'Third_level2': 1}}