關于基金主題數據如何獲取，在后面的博文中會介紹，這里只介紹下，Json數據轉DataFrame方便進行數據分析。

從互聯網中得到的json數據如下：

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}

其中比較關鍵的數據：

①hy為行業，gn為概念，都代表基金的主題；

②TradeData為日期，這里面的數據是2022-01-17到一年前的，某交易所統計的數據；

③SYL_XX：這個SYL為收益率。

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代碼如下：

# -*- 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")# 合并數據df = hyDf.combine_first(gnDf)print(df)pass

運行截圖如下：

?

總結

以上是生活随笔為你收集整理的Python笔记-Json转DataFrame（基金主题Json数据）的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。