知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
#!/usr/bin/env python
|
|
# -*- coding:utf-8 -*-
|
|
"""
|
|
Date: 2025/9/16 21:00
|
|
Desc: 天天基金-基金档案
|
|
https://fundf10.eastmoney.com/jbgk_015641.html
|
|
"""
|
|
|
|
from io import StringIO
|
|
|
|
import pandas as pd
|
|
import requests
|
|
|
|
|
|
def fund_overview_em(symbol: str = "015641") -> pd.DataFrame:
|
|
"""
|
|
天天基金-基金档案-基本概况
|
|
https://fundf10.eastmoney.com/jbgk_015641.html
|
|
:param symbol: 基金代码
|
|
:type symbol: str
|
|
:return: 基本概况
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
url = f"https://fundf10.eastmoney.com/jbgk_{symbol}.html"
|
|
r = requests.get(url)
|
|
html_content = pd.read_html(StringIO(r.text))
|
|
|
|
if len(html_content) == 0:
|
|
temp_df = pd.DataFrame([])
|
|
else:
|
|
df_dict = {}
|
|
# 最后一个表格的数据是我们想要的，按照Key-Value的形式存储
|
|
for _, row in html_content[-1].iterrows():
|
|
df_dict[row[0]] = row[1]
|
|
df_dict[row[2]] = row[3]
|
|
temp_df = pd.DataFrame([df_dict])
|
|
|
|
return temp_df
|
|
|
|
|
|
if __name__ == "__main__":
|
|
fund_overview_em_df = fund_overview_em(symbol="015641")
|
|
print(fund_overview_em_df)
|