利用Python将Json数据转为表格并写入Excel

一、准备数据源

注意：每一行都有一个中括号[ ]。

[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783825903,"scanDateStr":"2019-03-28 14:37:05","value":111.1,"interval":10}]
[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783836097,"scanDateStr":"2019-03-28 14:37:16","value":107.4,"interval":10}]
[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783846322,"scanDateStr":"2019-03-28 14:37:26","value":107.9,"interval":10},{"name":"风速(act.)","id":"WS","unit":"m/s","device":"weather","timestamp":1553783846322,"scanDateStr":"2019-03-28 14:37:26","value":2.2,"interval":10}]
[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783856534,"scanDateStr":"2019-03-28 14:37:36","value":94.1,"interval":10},{"name":"风速(act.)","id":"WS","unit":"m/s","device":"weather","timestamp":1553783856534,"scanDateStr":"2019-03-28 14:37:36","value":1.1,"interval":10}]
[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783876925,"scanDateStr":"2019-03-28 14:37:56","value":122.6,"interval":10},{"name":"风速(act.)","id":"WS","unit":"m/s","device":"weather","timestamp":1553783876925,"scanDateStr":"2019-03-28 14:37:56","value":1.4,"interval":10}]
[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783887103,"scanDateStr":"2019-03-28 14:38:07","value":132.8,"interval":10},{"name":"风速(act.)","id":"WS","unit":"m/s","device":"weather","timestamp":1553783887103,"scanDateStr":"2019-03-28 14:38:07","value":1.4,"interval":20}]
[{"name":"风向(act.)","id":"WD","device":"weather","timestamp":1553783897281,"scanDateStr":"2019-03-28 14:38:17","value":122.2,"interval":10},{"name":"风速(act.)","id":"WS","unit":"m/s","device":"weather","timestamp":1553783897281,"scanDateStr":"2019-03-28 14:38:17","value":2.7,"interval":31}]

二、编写Python脚本

# -*- coding: utf-8 -*-

import json
import pandas as pd

data = [] # 用于存储每一行的Json数据
with open('./data/temp2.txt','r', encoding = 'UTF-8') as fr:
    for line in fr:
        j = json.loads(line)
        data.append(j)

df = pd.DataFrame() # 最后转换得到的结果
for line in data:
    for i in line:
        df1 = pd.DataFrame([i])
        df = df.append(df1)

# 在excel表格的第1列写入, 不写入index
df.to_excel('data.xlsx', sheet_name='Data', startcol=0, index=False)

运行结果中data变量是这样子的：

三、最后转换得到的excel表