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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}

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 jsonif __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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