删除所有值为 N/A、- 或空字符串的键 [关闭]答案

【问题标题】：Remove all keys that have values of N/A, -, or empty strings [closed]删除所有值为 N/A、- 或空字符串的键 [关闭]
【发布时间】：2021-05-09 17:23:05
【问题描述】：

import json

def clean_data():
  r = requests.get('https://coderbyte.com/api/challenges/json/json-cleaning')
  return r.json()

print(clean_data())

示例输入

{"name":{"first":"Daniel","middle":"N/A","last":"Smith"},"age":45}

示例输出

{"name":{"first":"Daniel","last":"Smith"},"age":45}

【问题讨论】：

你没有对响应做任何事情。清洁不会自行发生。
另外，向 SO 寻求挑战的解决方案没有任何好处
另外，您已经导入了json，但您没有使用它，而requests 在代码中但未导入。

标签： python json django

【解决方案1】：

import json
import requests


r = requests.get('https://coderbyte.com/api/challenges/json/json-cleaning')
data = r.json()


def clean_data(data):
  if (isinstance(data, dict)):
    to_be_deleted = []
    for j in data:
      if (isinstance(data[j], dict)):
        new_val = clean_data(data[j])
        data[j] = new_val

      if (isinstance(data[j], list)):
        new_val = clean_data(data[j])
        data[j] = new_val

      elif (isinstance(data[j], str)):
        if (data[j] == 'N/A' or data[j] == '-' or data[j] == ''):
          to_be_deleted.append(j)

    for i in to_be_deleted:
      del data[i]
    return data

  if (isinstance(data, list)):
    to_be_deleted = []
    for i in range(len(data)):
      if (isinstance(data[i], dict)):
        new_val = clean_data(data[i])
        data[i] = new_val

      if (isinstance(data[i], list)):
        new_val = clean_data(data[i])
        data[i] = new_val

      elif (isinstance(data[i], str)):
        if (data[i] == 'N/A' or data[i] == '-' or data[i] == ''):
          to_be_deleted.append(i)
    for i in to_be_deleted:
      del data[i]
    return data

print("Original Data : ",data)
print("Cleaned Data : ",clean_data(data))

输出：

原始数据：{'name': {'first': 'Robert', 'middle': '', 'last': 'Smith'}, 'age': 25, 'DOB': '-', '爱好'：['跑步'，'编码'，'-']，'教育'：{'高中'：'N/A'，'大学'：'耶鲁'}}

清理数据：{'name': {'first': 'Robert', 'last': 'Smith'}, 'age': 25, 'hobbies': ['running', 'coding'], '教育': {'college': '耶鲁'}}

【讨论】：

【解决方案2】：

这是我的解决方案：

import requests
import json

def clean(data):
  for i in list(data):
    v = data[i]
    if type(v) == dict:
      clean(v)
    if type(v) == list:
      if '' in v:
        v.remove('')
      elif '-' in v:
        v.remove('-')
      elif 'N/A' in v:
        v.remove('N/A')
    if type(v) == str:
      if v in ['N/A', '', '-']:
        data.pop(i)

def clean_data():
  r = requests.get('https://coderbyte.com/api/challenges/json/json-cleaning')
  print(json.dumps(r.json()))
  d = json.loads(r.text)
  clean(d)
  return json.dumps(d)

【讨论】：

【解决方案3】：

你可以递归解决这个问题

import json
import requests


r = requests.get('https://coderbyte.com/api/challenges/json/json-cleaning')
data = r.json()

def clean_data(data):
    if(isinstance(data, dict)):
        to_be_deleted = []
        for k in data:
            if(isinstance(data[k], dict)):
                new_val = clean_data(data[k])
                data[k] = new_val
                
            if(isinstance(data[k], list)):
                new_val = clean_data(data[k])
                data[k] = new_val
                
            elif(isinstance(data[k], str)):
                if(data[k] == 'N/A'):
                    to_be_deleted.append(k)
                    
        for i in to_be_deleted:
            del data[i]
        return data
            
    if(isinstance(data, list)):
        to_be_deleted = []
        for i in range(len(data)):
            if(isinstance(data[i], dict)):
                new_val = clean_data(data[i])
                data[i] = new_val
                
            if(isinstance(data[i], list)):
                new_val = clean_data(data[k])
                data[i] = new_val
                
            elif(isinstance(data[i], str)):
                if(data[i] == 'N/A'):
                    to_be_deleted.append(i)
        for i in to_be_deleted:
            del data[i]
        return data
    
clean_data(data)

data = data = {"name":{"first":"Daniel","middle":"N/A","last":"Smith", "haha": {'hihi':1, "hoho":"N/A"}},"age":45, "hehe":[1,2,3,4,"N/A"]}
clean_data(data)
# {'name': {'first': 'Daniel', 'last': 'Smith', 'haha': {'hihi': 1}}, 'age': 45, 'hehe': [1, 2, 3, 4]}

【讨论】：