将 JSON 读取到 pandas 数据框 - 获取 ValueError：将 dicts 与非系列混合可能会导致排序不明确

Question

我正在尝试将下面的 JSON 结构读入 pandas 数据帧，但它会抛出错误消息：

ValueError：将 dicts 与非系列混合可能会导致排序不明确。

Json 数据： '''

{
"Name": "Bob",
"Mobile": 12345678,
"Boolean": true,
"Pets": ["Dog", "cat"],
"Address": {
"Permanent Address": "USA",
"Current Address": "UK"
},
"Favorite Books": {
"Non-fiction": "Outliers",
"Fiction": {"Classic Literature": "The Old Man and the Sea"}
}
}

''' 我怎样才能做到这一点？我试过下面的脚本...

'''
j_df = pd.read_json('json_file.json')
j_df

with open(j_file) as jsonfile:
    data = json.load(jsonfile)

'''

Answer 1

首先从文件中读取 json 并通过DataFrame.explode 传递给json_normalize：

import json

with open('json_file.json') as data_file:    
    data = json.load(data_file)  


df = pd.json_normalize(j).explode('Pets').reset_index(drop=True)
print (df)

  Name    Mobile  Boolean Pets Address.Permanent Address  \
0  Bob  12345678     True  Dog                       USA   
1  Bob  12345678     True  cat                       USA   

  Address.Current Address Favorite Books.Non-fiction  \
0                      UK                   Outliers   
1                      UK                   Outliers   

  Favorite Books.Fiction.Classic Literature  
0                   The Old Man and the Sea  
1                   The Old Man and the Sea  

编辑：对于将值写入句子，您可以选择必要的列、删除重复项、创建 numpy 数组和循环：

for x, y in df[['Name','Favorite Books.Fiction.Classic Literature']].drop_duplicates().to_numpy():
    print (f"{x}’s favorite classical iterature book is {y}.")
Bob’s favorite classical iterature book is The Old Man and the Sea.