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
102 lines
3.0 KiB
Python
102 lines
3.0 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/9/14 18:00
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Desc: 基金经理大全
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https://fund.eastmoney.com/manager/default.html
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"""
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import pandas as pd
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import requests
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from akshare.utils import demjson
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from akshare.utils.tqdm import get_tqdm
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def fund_manager_em() -> pd.DataFrame:
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"""
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天天基金网-基金数据-基金经理大全
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https://fund.eastmoney.com/manager/default.html
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:return: 基金经理大全
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:rtype: pandas.DataFrame
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"""
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big_df = pd.DataFrame()
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url = "https://fund.eastmoney.com/Data/FundDataPortfolio_Interface.aspx"
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params = {
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"dt": "14",
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"mc": "returnjson",
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"ft": "all",
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"pn": "500",
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"pi": "1",
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"sc": "abbname",
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"st": "asc",
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}
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r = requests.get(url, params=params)
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data_text = r.text
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data_json = demjson.decode(data_text.strip("var returnjson= "))
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total_page = data_json["pages"]
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tqdm = get_tqdm()
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for page in tqdm(range(1, total_page + 1), leave=False):
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params.update(
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{
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"pi": page,
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}
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)
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r = requests.get(url, params=params)
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data_text = r.text
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data_json = demjson.decode(data_text.strip("var returnjson= "))
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temp_df = pd.DataFrame(data_json["data"])
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big_df = pd.concat(objs=[big_df, temp_df], ignore_index=True)
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big_df.reset_index(inplace=True)
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big_df["index"] = range(1, len(big_df) + 1)
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big_df.columns = [
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"序号",
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"_",
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"姓名",
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"_",
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"所属公司",
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"现任基金代码",
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"现任基金",
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"累计从业时间",
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"现任基金最佳回报",
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"_",
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"_",
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"现任基金资产总规模",
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"_",
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]
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big_df = big_df[
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[
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"序号",
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"姓名",
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"所属公司",
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"现任基金代码",
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"现任基金",
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"累计从业时间",
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"现任基金资产总规模",
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"现任基金最佳回报",
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]
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]
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big_df["现任基金最佳回报"] = (
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big_df["现任基金最佳回报"].str.split("%", expand=True).iloc[:, 0]
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)
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big_df["现任基金资产总规模"] = (
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big_df["现任基金资产总规模"].str.split("亿元", expand=True).iloc[:, 0]
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)
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big_df["累计从业时间"] = pd.to_numeric(big_df["累计从业时间"], errors="coerce")
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big_df["现任基金最佳回报"] = pd.to_numeric(
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big_df["现任基金最佳回报"], errors="coerce"
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)
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big_df["现任基金资产总规模"] = pd.to_numeric(
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big_df["现任基金资产总规模"], errors="coerce"
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)
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big_df["现任基金代码"] = big_df["现任基金代码"].apply(lambda x: x.split(","))
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big_df["现任基金"] = big_df["现任基金"].apply(lambda x: x.split(","))
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big_df = big_df.explode(column=["现任基金代码", "现任基金"])
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big_df.reset_index(drop=True, inplace=True)
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return big_df
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if __name__ == "__main__":
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fund_manager_em_df = fund_manager_em()
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print(fund_manager_em_df)
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