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
108 lines
2.9 KiB
Python
108 lines
2.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/2/24 18:30
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Desc: 东方财富网-行情中心-港股市场-知名港股
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https://quote.eastmoney.com/center/gridlist.html#hk_wellknown
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"""
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import pandas as pd
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import requests
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def stock_hk_famous_spot_em() -> pd.DataFrame:
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"""
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东方财富网-行情中心-港股市场-知名港股
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https://quote.eastmoney.com/center/gridlist.html#hk_wellknown
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:return: 知名美股实时行情
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:rtype: pandas.DataFrame
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"""
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url = "https://69.push2.eastmoney.com/api/qt/clist/get"
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params = {
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"pn": "1",
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"pz": "50000",
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"po": "1",
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"np": "2",
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"ut": "bd1d9ddb04089700cf9c27f6f7426281",
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"fltt": "2",
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"invt": "2",
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"dect": "1",
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"wbp2u": "|0|0|0|web",
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"fid": "f3",
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"fs": "b:DLMK0106",
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"fields": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f12,f13,f14,f15,f16,f17,f18,f20,f21,f23,f24,"
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"f25,f26,f22,f33,f11,f62,f128,f136,f115,f152",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"]["diff"]).T
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temp_df.columns = [
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"_",
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"最新价",
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"涨跌幅",
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"涨跌额",
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"成交量",
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"成交额",
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"_",
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"_",
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"_",
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"_",
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"_",
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"代码",
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"编码",
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"名称",
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"最高",
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"最低",
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"今开",
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"昨收",
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"总市值",
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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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"_",
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"市盈率",
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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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temp_df.reset_index(inplace=True)
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temp_df["index"] = range(1, len(temp_df) + 1)
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temp_df.rename(columns={"index": "序号"}, inplace=True)
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temp_df = temp_df[
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[
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"序号",
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"代码",
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"名称",
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"最新价",
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"涨跌额",
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"涨跌幅",
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"今开",
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"最高",
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"最低",
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"昨收",
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"成交量",
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"成交额",
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]
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]
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temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
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temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
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temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
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temp_df["今开"] = pd.to_numeric(temp_df["今开"], errors="coerce")
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temp_df["最高"] = pd.to_numeric(temp_df["最高"], errors="coerce")
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temp_df["最低"] = pd.to_numeric(temp_df["最低"], errors="coerce")
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temp_df["昨收"] = pd.to_numeric(temp_df["昨收"], errors="coerce")
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temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
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temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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stock_hk_famous_spot_em_df = stock_hk_famous_spot_em()
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print(stock_hk_famous_spot_em_df)
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