使用python 3将Json嵌套到csv

我试图在Python中将JSON数据转换为CSV，并在Stack Exchange上找到了这段代码（链接：）。它在Python3中不再工作，这给了我不同的错误。有人知道如何修复Python3吗？谢谢

下面是我的JSON数据：

{ "fruit": [ 
    { "name": "Apple", 
      "binomial name": "Malus domestica", 
      "major_producers": [ "China", "United States", "Turkey" ], 
      "nutrition": 
          { "carbohydrates": "13.81g", 
            "fat": "0.17g", 
            "protein": "0.26g" 
          } 
     }, 
     { "name": "Orange", 
       "binomial name": "Citrus x sinensis", 
       "major_producers": [ "Brazil", "United States", "India" ],
       "nutrition": 
          { "carbohydrates": "11.75g", 
            "fat": "0.12g", 
            "protein": "0.94g" 
          } 
      }, 
      { "name": "Mango", 
        "binomial name": "Mangifera indica", 
        "major_producers": [ "India", "China", "Thailand" ],
        "nutrition": 
            { "carbohydrates": "15g", 
              "fat": "0.38g", 
              "protein": "0.82g" 
            } 
       } 
] }

输出CSV应该如下所示

---

最简单的方法是将所需的dict放入pandas数据帧，并使用其

。to_csv（）

方法：

json_data = { "fruit": [ { "name": "Apple", "binomial name": "Malus domestica", "major_producers": [ "China", "United States", "Turkey" ], "nutrition": { "carbohydrates": "13.81g", "fat": "0.17g", "protein": "0.26g" } }, { "name": "Orange", "binomial name": "Citrus x sinensis", "major_producers": [ "Brazil", "United States", "India" ], "nutrition": { "carbohydrates": "11.75g", "fat": "0.12g", "protein": "0.94g" } }, { "name": "Mango", "binomial name": "Mangifera indica", "major_producers": [ "India", "China", "Thailand" ], "nutrition": { "carbohydrates": "15g", "fat": "0.38g", "protein": "0.82g" } } ] }
df = pd.DataFrame(json_data['fruit'])
df.to_csv('/wherever/file/shall/roam/test.csv')

这将导致一个csv文件，如

---

仍在使用pandas，但方法略有不同，将JSON视为字典

import pandas as pd
import pprint as pprint
x = { "fruit": [ { "name": "Apple", "binomial name": "Malus domestica", "major_producers": [ "China", "United States", "Turkey" ], "nutrition": { "carbohydrates": "13.81g", "fat": "0.17g", "protein": "0.26g" } }, { "name": "Orange", "binomial name": "Citrus x sinensis", "major_producers": [ "Brazil", "United States", "India" ], "nutrition": { "carbohydrates": "11.75g", "fat": "0.12g", "protein": "0.94g" } }, { "name": "Mango", "binomial name": "Mangifera indica", "major_producers": [ "India", "China", "Thailand" ], "nutrition": { "carbohydrates": "15g", "fat": "0.38g", "protein": "0.82g" } } ] }

在dict中添加一些额外的信息，这些信息将提供更接近所需输出的额外标题

for item in x['fruit']:
  for index, country in enumerate(item['major_producers']):
    new_key = 'major_producers'+str(index + 1)
    item[new_key] = country
  item['carbs'] = item['nutrition']['carbohydrates']
  item['fat'] = item['nutrition']['fat']
  item['protein']= item['nutrition']['protein']

更新后的词典打印得很漂亮

pprint(x['fruit'])

从DICT列表中创建数据帧，如中所示：

xdf = pd.DataFrame.from_dict(x['fruit'])

仅使用所需的标题

xdf = xdf[['name', 'binomial name', 'major_producers1','major_producers2','major_producers3','carbs','fat','protein']]

然后，正如@SpghttCd提到的，您可以使用pd.to_csv。在这种情况下不需要索引

xdf.to_csv('filename.csv',index=False)

csv文件应如下所示：

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你得到了什么错误？你找到了什么代码？你的问题中没有代码，也没有错误，我们能做什么？我已经添加了代码这些是我得到的错误：字符串索引必须是整数，attributeError:'str'对象没有属性'keys'，TypeError:字符串索引必须是整数，列表索引超出范围，“dict_keys”对象不是subscriptables，但我的CSV输出应该与上面提到的完全一样。是否可以将脚本设置为通用脚本，以便它适用于任何嵌套的json文件？我正在处理一个项目。我的系统每天运行一个特定的作业，它将生成JSON文件（与上面嵌套的JSON相同）。我需要将这些数据转换为CSV格式以进行报告。@RaviKumarTC在本例中，诀窍是了解数据源。（希望这有点一致）如果一个key:value是一个列表，那么它的处理方式需要与另一个dict不同。使用pandas的底线是为CSV中的每一行获取一个简单的key:value dict列表。谢谢@Timothy Lombard。你能帮我解决这个问题吗？我的系统将每天生成一个JSON文件（嵌套JSON）。我试图在pyton 3中编写一个脚本，将其转换为csv文件。注意-该脚本应适用于任何嵌套的JSON数据。