如何解决如何将此python循环转换为列表理解?
没关系。正如 juanpa.arrivillaga 所指出的,列表推导不返回字典 >
背景
我有以下 python 代码(请参阅下一段代码)。我想尝试优化它以比较常规循环和列表理解之间的执行时间。
常规循环版本
def flatten_json( nested_dict,flattened_dict={},superior_level_key: str = ""):
for key,value in nested_dict.items():
if type(nested_dict[key]) is dict:
flattened_dict = flatten_json(
nested_dict[key],flattened_dict,"{}_".format(key))
else:
flattened_dict['{}{}'.format(superior_level_key,key)] = value
return flattened_dict
import json
with open('json.json') as j:
d = json.load(j)
print(flatten_json(d,{},""))
当前的、失败的、列表理解版本
def flatten_json(nested_dict,superior_level_key: str = ""):
return [flatten_json(nested_dict[key],"{}_".format(key))
if type(nested_dict) is dict
else value for key,value in nested_dict.items()]
import json
with open('json.json') as j:
d = json.load(j)
print(flatten_json(d,""))
错误
列表理解版本抛出以下错误:
Traceback (most recent call last):
File "p1.py",line 13,in <module>
print(flatten_json(d,""))
File "p1.py",line 3,in flatten_json
return [flatten_json(nested_dict[key],"{}_".format(key))
File "p1.py",in <listcomp>
return [flatten_json(nested_dict[key],line 5,in flatten_json
else value for key,value in nested_dict.items()]
AttributeError: 'float' object has no attribute 'items'
问题
为什么会抛出该错误以及如何修复它?
输入
{
"_score": 1.0,"_index": "sirene_prod","_id": "AXSp612eur2DngRir4BH","_type": "sirene_prod","_source": {
"enseigne": "","codpos": {
"cp": "17300","bur_distrib": "300","depet": "17"
},"id": "ddf9e5b2aa0099ff6934a3d83b1678f64e27859e377362ef8682a9b1","l3_normalisee": "","apet700": "10.71C","sigle": "","siren": "793120569","libapen": "Boulangerie et boulangerie-patisserie","apen700": "10.71C","cedex": "","typvoie": "AV","numvoie": 33,"nom": "","depet_limit": [
"16","24","33","79","85"
],"libcom": "ROCHEFORT","l2_normalisee": {
"text": "","initial": ""
},"libvoie": "GAMBETTA","nic": "00017","prenom": "","nomen_long": {
"text": "LA PASSION DU PAIN","nom": "LA PASSION DU PAIN","initial": "LPDP"
},"indrep": ""
}
}
输出
{'_score': 1.0,'_index': 'sirene_prod','_id': 'AXSp612eur2DngRir4BH','_type': 'sirene_prod','_surce_enseigne': '','codpos_cp': '17300','codpos_bur_distrib': '300','codpos_depet': '17','_soure_id': 'ddf9e5b2aa0099ff6934a3d83b1678f64e27859e377362ef8682a9b1','_source_l3_normalisee': '','_surce_apet700': '10.71C','_source_sigle': '','_source_siren': '793120569','_source_libapen': 'Bouangerie et boulangerie-patisserie','_source_apen700': '10.71C','_source_cedex': '','_source_typvie': 'AV','_source_numvoie': 33,'_source_nom': '','_source_depet_limit': ['16','24','33','79' '85'],'_source_libcom': 'ROCHEFORT','l2_normalisee_text': '','l2_normalisee_nom': '','l2_normamalisee_initial': '','_source_libvoie': 'GAMBETTA','_source_nic': '00017','_source_prenom': '',renom': '','nomen_long_text': 'LA PASSION DU PAIN','nomen_long_nom': 'LA PASSION DU P_long_initiaAIN','nomen_long_initial': 'LPDP','_source_indrep': ''}
解决方法
这是一个迭代解决方案,它应该比您当前的递归解决方案更快:
def flatten_json_iterative(nested):
flattened = {}
stack = [(nested,"")]
push_to_stack = stack.append
pop_from_stack = stack.pop
while stack:
nested_dict,superior_key = pop_from_stack()
for key,value in nested_dict.items():
if isinstance(value,dict):
push_to_stack((value,f"{key}_"))
else:
flattened[f"{superior_key}{key}"] = value
return flattened
在回复中:
In [8]: flatten_json_iterative(data)
Out[8]:
{'_score': 1.0,'_index': 'sirene_prod','_id': 'AXSp612eur2DngRir4BH','_type': 'sirene_prod','_source_enseigne': '','_source_id': 'ddf9e5b2aa0099ff6934a3d83b1678f64e27859e377362ef8682a9b1','_source_l3_normalisee': '','_source_apet700': '10.71C','_source_sigle': '','_source_siren': '793120569','_source_libapen': 'Boulangerie et boulangerie-patisserie','_source_apen700': '10.71C','_source_cedex': '','_source_typvoie': 'AV','_source_numvoie': 33,'_source_nom': '','_source_depet_limit': ['16','24','33','79','85'],'_source_libcom': 'ROCHEFORT','_source_libvoie': 'GAMBETTA','_source_nic': '00017','_source_prenom': '','_source_indrep': '','nomen_long_text': 'LA PASSION DU PAIN','nomen_long_nom': 'LA PASSION DU PAIN','nomen_long_initial': 'LPDP','l2_normalisee_text': '','l2_normalisee_nom': '','l2_normalisee_initial': '','codpos_cp': '17300','codpos_bur_distrib': '300','codpos_depet': '17'}
顺便说一句:
您的方法不起作用,因为您正在检查 nested_dict
是否为 dict
然后对其进行递归,if type(nested_dict) is dict
相反,您想检查 value 是一个字典,然后递归它。但这不会对你有多大帮助。我不够聪明,无法找到一种使用递归和字典理解的方法来展平像这样的嵌套字典。
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