如何通过pandas从mysql读取json数据？

quhf5bfb 于 2023-08-01 发布在 Mysql

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我在mysql db列中有这种类型的json，我想使用python读取并转换为CSV。

{"type":["11","27","26","6"],
 "comment":["","","","ADVANCE"],
 "remark":["","","","anything"],
 "unit":["1.00","1.00","1.00","5000"],
 "rate":["1300000","1409.37","100","1"],
 "extra":["1.00","850","850","1"],
 "amount":["1300000.00","1197964.50","85000.00","5000.00"]}

字符串
我需要像这样的最终输出：

"type","comment","remark","unit","rate","extra","amount"
"11","","","1.00","1300000","1.00","1300000.00"
"27","","","1.00","1409.37","850","1197964.50"
"26","","","1.00","100","850","85000.00"
"6","ADVANCE","anything","5000","1","1","5000.00"

型

pandas

来源：https://stackoverflow.com/questions/76715288/how-to-read-read-json-data-from-mysql-thrugh-pandas

1条答案

按热度按时间

e4yzc0pl1#

好吧，通过使用pandas和json模块，我们可能有一个解决方案。这是从原始数据到csv文件的代码：

import pandas as pd
import json

data = {"type":["11","27","26","6"],
 "comment":["","","","ADVANCE"],
 "remark":["","","","anything"],
 "unit":["1.00","1.00","1.00","5000"],
 "rate":["1300000","1409.37","100","1"],
 "extra":["1.00","850","850","1"],
 "amount":["1300000.00","1197964.50","85000.00","5000.00"]}

json_object = json.dumps(data, indent=1)
results = pd.read_json(json_object)

results.to_csv(path_or_buf = 'location\\data_json.csv', index = False, encoding = 'UTF-8', sep = ',')

字符串
输出量：

type,comment,remark,unit,rate,extra,amount
11,,,1,1300000.0,1,1300000.0
27,,,1,1409.37,850,1197964.5
26,,,1,100.0,850,85000.0
6,ADVANCE,anything,5000,1.0,1,5000.0

型
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如何通过pandas从mysql读取json数据？

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