Python笔记-Json转DataFrame（基金主题Json数据）
Posted IT1995
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关于基金主题数据如何获取，在后面的博文中会介绍，这里只介绍下，Json数据转DataFrame方便进行数据分析。
从互联网中得到的json数据如下：
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]
,
"ErrCode":0,
"ErrMsg":null,
"TotalCount":0,
"Expansion":null,
"PageSize":0,
"PageIndex":0
其中比较关键的数据：
①hy为行业，gn为概念，都代表基金的主题；
②TradeData为日期，这里面的数据是2022-01-17到一年前的，某交易所统计的数据；
③SYL_XX：这个SYL为收益率。
SYL_W：近一周收益率；
SYL_M：近一月收益率；
SYL_Q：近三月收益率；
SYL_1N：近一年收益率；
Python代码如下：
# -*- coding: utf-8 -*-
import pandas as pd
import json
if __name__ == '__main__':
dataStr = open('fund_index.json').read()
dataObject = json.loads(s=dataStr)
hyData = json.dumps(dataObject["Data"]["hy"])
gnData = json.dumps(dataObject["Data"]["gn"])
hyDf = pd.read_json(hyData)
gnDf = pd.read_json(gnData)
hyDf = hyDf.set_index("IndexCode")
gnDf = gnDf.set_index("IndexCode")
# 合并数据
df = hyDf.combine_first(gnDf)
print(df)
pass运行截图如下：
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