Python数据操作—处理Json数据

JSON文件以可读的格式将数据存储为文本。 JSON代表JavaScript Object Notation。 使用read_json函数，Pandas可以读取JSON文件。

输入数据
通过将以下数据复制到文本编辑器(如记事本)来创建JSON文件。选择文件类型作为所有文件(.)，使用.json扩展名保存文件，假设保存的文件名称为:input.json。

{ 
   "ID":["1","2","3","4","5","6","7","8" ],
   "Name":["Rick","Dan","Michelle","Ryan","Gary","Nina","Simon","Guru" ]
   "Salary":["623.3","515.2","611","729","843.25","578","632.8","722.5" ],

   "StartDate":[ "1/1/2012","9/23/2013","11/15/2014","5/11/2014","3/27/2015","5/21/2013",
      "7/30/2013","6/17/2014"],
   "Dept":[ "IT","Operations","IT","HR","Finance","IT","Operations","Finance"]
}

读取JSON文件
Pandas库的read_json函数可用于将JSON文件读入为pandas DataFrame数据结构类型。

import pandas as pd
data = pd.read_json('C:/Users/Administrator/PycharmProjects/myproject/input.json')
print(data)

结果：

      Dept  ID    Name  Salary   StartDate
0          IT   1    Rick  623.30    1/1/2012
1  Operations   2     Dan  515.20   9/23/2013
2          IT   3   Tusar  611.00  11/15/2014
3          HR   4    Ryan  729.00   5/11/2014
4     Finance   5    Gary  843.25   3/27/2015
5          IT   6   Rasmi  578.00   5/21/2013
6  Operations   7  Pranab  632.80   7/30/2013
7     Finance   8    Guru  722.50   6/17/2014

读写json文件：

import json
file = open('test.json','w',encoding='utf-8')
data1 = {'name':'john','age':12}
data2 = {'name':'merry','age':13}
data = [data1,data2]
print(data)
json.dump(data,file,ensure_ascii=False)
file.close()
file = open('test.json','r',encoding='utf-8')
s = json.load(file)
print (s[0]['name'])

结果：

[{'name': 'john', 'age': 12}, {'name': 'merry', 'age': 13}]
john