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
84 lines
2.2 KiB
Python
84 lines
2.2 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2023/11/7 18:30
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Desc: 基金数据-新发基金-新成立基金
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https://fund.eastmoney.com/data/xinfound.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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def fund_new_found_em() -> pd.DataFrame:
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"""
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基金数据-新发基金-新成立基金
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https://fund.eastmoney.com/data/xinfound.html
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:return: 新成立基金
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:rtype: pandas.DataFrame
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"""
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url = "https://fund.eastmoney.com/data/FundNewIssue.aspx"
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params = {
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"t": "xcln",
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"sort": "jzrgq,desc",
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"y": "",
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"page": "1,50000",
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"isbuy": "1",
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"v": "0.4069919776543214",
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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 newfunddata="))
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temp_df = pd.DataFrame(data_json["datas"])
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temp_df.columns = [
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"基金代码",
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"基金简称",
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"发行公司",
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"_",
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"基金类型",
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"募集份额",
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"成立日期",
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"成立来涨幅",
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"基金经理",
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"申购状态",
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"集中认购期",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"优惠费率",
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]
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temp_df = temp_df[
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[
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"基金代码",
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"基金简称",
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"发行公司",
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"基金类型",
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"集中认购期",
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"募集份额",
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"成立日期",
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"成立来涨幅",
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"基金经理",
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"申购状态",
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"优惠费率",
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]
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]
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temp_df["募集份额"] = pd.to_numeric(temp_df["募集份额"], errors="coerce")
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temp_df["成立日期"] = pd.to_datetime(temp_df["成立日期"], errors="coerce").dt.date
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temp_df["成立来涨幅"] = pd.to_numeric(
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temp_df["成立来涨幅"].str.replace(",", ""), errors="coerce"
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)
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temp_df["优惠费率"] = temp_df["优惠费率"].str.strip("%")
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temp_df["优惠费率"] = pd.to_numeric(temp_df["优惠费率"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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fund_new_found_em_df = fund_new_found_em()
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print(fund_new_found_em_df)
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