Files
MoFin/venv/lib/python3.12/site-packages/akshare/option/option_em.py
T
知微 fa45d8aa5f fix: 小果地址统一node122(兼容LAN+EasyTier)
- 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
2026-06-30 02:56:35 +08:00

189 lines
5.7 KiB
Python

#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Date: 2025/2/18 16:30
Desc: 东方财富网-行情中心-期权市场
https://quote.eastmoney.com/center/qqsc.html
"""
import pandas as pd
import requests
from akshare.utils.func import fetch_paginated_data
def option_current_em() -> pd.DataFrame:
"""
东方财富网-行情中心-期权市场
https://quote.eastmoney.com/center/qqsc.html
:return: 期权价格
:rtype: pandas.DataFrame
"""
url = "https://23.push2.eastmoney.com/api/qt/clist/get"
params = {
"pn": "1",
"pz": "100",
"po": "1",
"np": "1",
"ut": "bd1d9ddb04089700cf9c27f6f7426281",
"fltt": "2",
"invt": "2",
"fid": "f3",
"fs": "m:10,m:12,m:140,m:141,m:151,m:163,m:226",
"fields": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f12,f13,f14,f15,f16,f17,f18,f20,f21,"
"f23,f24,f25,f22,f28,f11,f62,f128,f136,f115,f152,f133,f108,f163,f161,f162",
}
temp_df = fetch_paginated_data(url=url, base_params=params)
temp_df.columns = [
"序号",
"_",
"最新价",
"涨跌幅",
"涨跌额",
"成交量",
"成交额",
"_",
"_",
"_",
"_",
"_",
"代码",
"市场标识",
"名称",
"_",
"_",
"今开",
"_",
"_",
"_",
"_",
"_",
"_",
"_",
"昨结",
"_",
"持仓量",
"_",
"_",
"_",
"_",
"_",
"_",
"_",
"行权价",
"剩余日",
"日增",
]
temp_df = temp_df[
[
"序号",
"代码",
"名称",
"最新价",
"涨跌额",
"涨跌幅",
"成交量",
"成交额",
"持仓量",
"行权价",
"剩余日",
"日增",
"昨结",
"今开",
"市场标识",
]
]
temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
temp_df["持仓量"] = pd.to_numeric(temp_df["持仓量"], errors="coerce")
temp_df["行权价"] = pd.to_numeric(temp_df["行权价"], errors="coerce")
temp_df["剩余日"] = pd.to_numeric(temp_df["剩余日"], errors="coerce")
temp_df["日增"] = pd.to_numeric(temp_df["日增"], errors="coerce")
temp_df["昨结"] = pd.to_numeric(temp_df["昨结"], errors="coerce")
temp_df["今开"] = pd.to_numeric(temp_df["今开"], errors="coerce")
option_current_cffex_em_df = option_current_cffex_em()
big_df = pd.concat(objs=[temp_df, option_current_cffex_em_df], ignore_index=True)
big_df["序号"] = range(1, len(big_df) + 1)
return big_df
def option_current_cffex_em() -> pd.DataFrame:
url = "https://futsseapi.eastmoney.com/list/option/221"
params = {
"orderBy": "zdf",
"sort": "desc",
"pageSize": "20000",
"pageIndex": "0",
"token": "58b2fa8f54638b60b87d69b31969089c",
"field": "dm,sc,name,p,zsjd,zde,zdf,f152,vol,cje,ccl,xqj,syr,rz,zjsj,o",
"blockName": "callback",
"_:": "1706689899924",
}
r = requests.get(url, params=params)
data_json = r.json()
temp_df = pd.DataFrame(data_json["list"])
temp_df.reset_index(inplace=True)
temp_df["index"] = temp_df["index"] + 1
temp_df.rename(
columns={
"index": "序号",
"rz": "日增",
"dm": "代码",
"zsjd": "-",
"ccl": "持仓量",
"syr": "剩余日",
"o": "今开",
"p": "最新价",
"sc": "市场标识",
"xqj": "行权价",
"vol": "成交量",
"name": "名称",
"zde": "涨跌额",
"zdf": "涨跌幅",
"zjsj": "昨结",
"cje": "成交额",
},
inplace=True,
)
temp_df = temp_df[
[
"序号",
"代码",
"名称",
"最新价",
"涨跌额",
"涨跌幅",
"成交量",
"成交额",
"持仓量",
"行权价",
"剩余日",
"日增",
"昨结",
"今开",
"市场标识",
]
]
temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
temp_df["持仓量"] = pd.to_numeric(temp_df["持仓量"], errors="coerce")
temp_df["行权价"] = pd.to_numeric(temp_df["行权价"], errors="coerce")
temp_df["剩余日"] = pd.to_numeric(temp_df["剩余日"], errors="coerce")
temp_df["日增"] = pd.to_numeric(temp_df["日增"], errors="coerce")
temp_df["昨结"] = pd.to_numeric(temp_df["昨结"], errors="coerce")
temp_df["今开"] = pd.to_numeric(temp_df["今开"], errors="coerce")
return temp_df
if __name__ == "__main__":
option_current_em_df = option_current_em()
print(option_current_em_df)
option_current_cffex_em_df = option_current_cffex_em()
print(option_current_cffex_em_df)