如何将此python循环转换为列表理解?

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。

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams[&#39;font.sans-serif&#39;] = [&#39;SimHei&#39;] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -&gt; systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping(&quot;/hires&quot;) public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate&lt;String
使用vite构建项目报错 C:\Users\ychen\work&gt;npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)&gt; insert overwrite table dwd_trade_cart_add_inc &gt; select data.id, &gt; data.user_id, &gt; data.course_id, &gt; date_format(
错误1 hive (edu)&gt; insert into huanhuan values(1,&#39;haoge&#39;); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive&gt; show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 &lt;configuration&gt; &lt;property&gt; &lt;name&gt;yarn.nodemanager.res