Python-如何将JSON文件转换为数据框 [英] Python - How to convert JSON File to Dataframe

问题描述

如何将这样的JSON文件转换为数据框以进行某些转换.

How can I convert a JSON File as such into a dataframe to do some transformations.

例如，如果JSON文件读取:

For Example if the JSON file reads:

{"FirstName":"John",

"LastName":"Mark",

"MiddleName":"Lewis",

"username":"johnlewis2",

"password":"2910"}

如何将其转换为这样的表

How can I convert it to a table like such

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



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

推荐答案

从字典对象创建数据框.

Creating dataframe from dictionary object.

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

如果您有嵌套的列，则首先需要规范化数据:

If you have nested columns then you first need to normalize the data:

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

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

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