我想创建一个“转换器”类型的dict,它会将不同dicts中的键值分配给我创建的dict中的键。我遇到的问题是我不能创建一个表示嵌套的dict键的值,而不必将其转换为字符串或其他数据类型,当我尝试使用字符串作为嵌套字典的索引时,我收到索引错误。理想情况下,我的dict看起来像这样:
new_dict{
"new_key_1" : ['subdict1']['subdict2']['old_key_1'],
"new_key_2" : ['subdict1']['subdict2']['old_key_2'],
"new_key_3" : ['subdict1']['subdict3']['old_key_3']
}
然后,对于每个嵌套的dict,我可以使用一个简单的for循环生成一个新的dict对象:
for key, value in new_dict.items() :
user_dict_1[key] = OldDict[value]
嵌套的dicts非常大,我只需要几个字段,否则我可以使用.copy()函数来处理旧的dicts。
PS-任何有助于重写此问题以获得更多可读性的帮助也值得赞赏。
答案 0 :(得分:4)
你需要reduce()
这个......
attrmap = {
"new_key_1": ('subdict1', 'subdict2', 'old_key_1'),
...
}
print reduce(lambda x, y: x[y], attrmap[somekey], old_object)
答案 1 :(得分:0)
你在说这样的话吗?
from pprint import pprint as pp
subdict1 = {'subdict1_item1':1, 'subdict1_item2':2}
subdict2 = {'subdict2_item1':3, 'subdict2_item2':4}
subdict3 = {'subdict3_item1': 5, 'subdict3_item1':6}
olddict = {
'old_key_1': [subdict1, subdict2],
'old_key_2': [subdict1, subdict2],
'old_key_3': [subdict1, subdict3],
}
newdict = {
'new_key_1': olddict['old_key_1'].append('old_key_1'),
'new_key_2': olddict['old_key_2'].append('old_key_2'),
'new_key_3': olddict['old_key_3'].append('old_key_3'),
}
或者
newdict = {
'new_key_1': 'old_key_1',
'new_key_2': 'old_key_2',
'new_key_3': 'old_key_3',
}
def getnew(newkey, newdict, olddict):
if newkey in newdict:
oldkey = newdict[newkey]
if oldkey in olddict:
preitem = olddict[ oldkey ] # returns a list with two items
item = []
item.append([preitem[0]]) # makes subdict1 wrapped in a list
item.append([preitem[1]]) # makes subdict2/3 wrapped in a list
item.append([oldkey])
return item
else:
raise KeyError('newdict has no matching olddict key')
结果:
pp( getnew('new_key_1', newdict, olddict) )
print
pp( getnew('new_key_2', newdict, olddict) )
print
pp( getnew('new_key_3', newdict, olddict) )
[[{'subdict1_item1': 1, 'subdict1_item2': 2}],
[{'subdict2_item1': 3, 'subdict2_item2': 4}],
['old_key_1']]
[[{'subdict1_item1': 1, 'subdict1_item2': 2}],
[{'subdict2_item1': 3, 'subdict2_item2': 4}],
['old_key_2']]
[[{'subdict1_item1': 1, 'subdict1_item2': 2}],
[{'subdict3_item1': 6}],
['old_key_3']]