Python - 如何将JSON文件转换为Dataframe

Question

如何将JSON文件转换为数据帧以进行一些转换.

例如,如果JSON文件读取:

{"FirstName":"John",

"LastName":"Mark",

"MiddleName":"Lewis",

"username":"johnlewis2",

"password":"2910"}

我怎样才能将它转换成这样的表格

Column -> FirstName | LastName | MiddleName | username | password



Row ----->    John | Mark |Lewis | johnlewis2 |2910

Answer 1

从字典对象创建数据框.

import pandas as pd
data = [{'name': 'vikash', 'age': 27}, {'name': 'Satyam', 'age': 14}]
df = pd.DataFrame.from_dict(data, orient='columns')

df
Out[4]:
   age  name
0   27  vikash
1   14  Satyam

如果您有嵌套列,那么首先需要规范化数据:

from pandas.io.json import json_normalize
data = [
  {
    'name': {
      'first': 'vikash',
      'last': 'singh'
    },
    'age': 27
  },
  {
    'name': {
      'first': 'satyam',
      'last': 'singh'
    },
    'age': 14
  }
]

df = pd.DataFrame.from_dict(json_normalize(data), orient='columns')

df    
Out[8]:
age name.first  name.last
0   27  vikash  singh
1   14  satyam  singh

资料来源:https://github.com/vi3k6i5/pandas_basics/blob/master/1_a_create_a_dataframe_from_dictonary.ipynb

Answer 2

from pandas.io.json import json_normalize
print json_normalize(your_json)

这会将半结构化JSON数据标准化为平面表

产量

  FirstName LastName MiddleName password    username
      John     Mark      Lewis     2910  johnlewis2