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
75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
# -*- coding:utf-8 -*-
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# !/usr/bin/env python
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"""
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Date: 2025/2/15 22:00
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Desc: 东方财富网-个股-股票信息
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https://quote.eastmoney.com/concept/sh603777.html?from=classic
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"""
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import pandas as pd
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import requests
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def stock_individual_info_em(
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symbol: str = "603777", timeout: float = None
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) -> pd.DataFrame:
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"""
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东方财富-个股-股票信息
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https://quote.eastmoney.com/concept/sh603777.html?from=classic
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:param symbol: 股票代码
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:type symbol: str
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:param timeout: choice of None or a positive float number
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:type timeout: float
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:return: 股票信息
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:rtype: pandas.DataFrame
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"""
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url = "https://push2.eastmoney.com/api/qt/stock/get"
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market_code = 1 if symbol.startswith("6") else 0
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params = {
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"fltt": "2",
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"invt": "2",
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"fields": "f120,f121,f122,f174,f175,f59,f163,f43,f57,f58,f169,f170,f46,f44,f51,f168,f47,"
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"f164,f116,f60,f45,f52,f50,f48,f167,f117,f71,f161,f49,f530,f135,f136,f137,f138,"
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"f139,f141,f142,f144,f145,f147,f148,f140,f143,f146,f149,f55,f62,f162,f92,f173,f104,"
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"f105,f84,f85,f183,f184,f185,f186,f187,f188,f189,f190,f191,f192,f107,f111,f86,f177,f78,"
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"f110,f262,f263,f264,f267,f268,f255,f256,f257,f258,f127,f199,f128,f198,f259,f260,f261,"
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"f171,f277,f278,f279,f288,f152,f250,f251,f252,f253,f254,f269,f270,f271,f272,f273,f274,"
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"f275,f276,f265,f266,f289,f290,f286,f285,f292,f293,f294,f295,f43",
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"secid": f"{market_code}.{symbol}",
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}
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r = requests.get(url, params=params, timeout=timeout)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json)
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temp_df.reset_index(inplace=True)
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del temp_df["rc"]
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del temp_df["rt"]
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del temp_df["svr"]
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del temp_df["lt"]
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del temp_df["full"]
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code_name_map = {
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"f57": "股票代码",
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"f58": "股票简称",
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"f84": "总股本",
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"f85": "流通股",
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"f127": "行业",
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"f116": "总市值",
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"f117": "流通市值",
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"f189": "上市时间",
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"f43": "最新",
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}
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temp_df["index"] = temp_df["index"].map(code_name_map)
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temp_df = temp_df[pd.notna(temp_df["index"])]
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if "dlmkts" in temp_df.columns:
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del temp_df["dlmkts"]
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temp_df.columns = [
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"item",
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"value",
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]
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temp_df.reset_index(inplace=True, drop=True)
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return temp_df
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if __name__ == "__main__":
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stock_individual_info_em_df = stock_individual_info_em(symbol="000002")
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print(stock_individual_info_em_df)
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