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feat(stock_zygc.py): add stock_zygc_em interface
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,131 @@ | ||
| # -*- coding:utf-8 -*- | ||
| # !/usr/bin/env python | ||
| """ | ||
| Date: 2023/1/30 11:30 | ||
| Desc: 主营构成 | ||
| https://emweb.securities.eastmoney.com/PC_HSF10/BusinessAnalysis/Index?type=web&code=SH688041# | ||
| http://f10.emoney.cn/f10/zbyz/1000001 | ||
| """ | ||
| import pandas as pd | ||
| import requests | ||
| from bs4 import BeautifulSoup | ||
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| def stock_zygc_ym(symbol: str = "000001") -> pd.DataFrame: | ||
| """ | ||
| 益盟-F10-主营构成 | ||
| http://f10.emoney.cn/f10/zbyz/1000001 | ||
| :param symbol: 股票代码 | ||
| :type symbol: str | ||
| :return: 主营构成 | ||
| :rtype: pandas.DataFrame | ||
| """ | ||
| url = f"http://f10.emoney.cn/f10/zygc/{symbol}" | ||
| r = requests.get(url) | ||
| soup = BeautifulSoup(r.text, "lxml") | ||
| year_list = [ | ||
| item.text.strip() | ||
| for item in soup.find(attrs={"class": "swlab_t"}).find_all("li") | ||
| ] | ||
|
|
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| big_df = pd.DataFrame() | ||
| for i, item in enumerate(year_list, 2): | ||
| temp_df = pd.read_html(r.text, header=0)[i] | ||
| temp_df.columns = [ | ||
| "分类方向", | ||
| "分类", | ||
| "营业收入", | ||
| "营业收入-同比增长", | ||
| "营业收入-占主营收入比", | ||
| "营业成本", | ||
| "营业成本-同比增长", | ||
| "营业成本-占主营成本比", | ||
| "毛利率", | ||
| "毛利率-同比增长", | ||
| ] | ||
| temp_df["报告期"] = item | ||
| big_df = pd.concat([big_df, temp_df], ignore_index=True) | ||
|
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| big_df = big_df[ | ||
| [ | ||
| "报告期", | ||
| "分类方向", | ||
| "分类", | ||
| "营业收入", | ||
| "营业收入-同比增长", | ||
| "营业收入-占主营收入比", | ||
| "营业成本", | ||
| "营业成本-同比增长", | ||
| "营业成本-占主营成本比", | ||
| "毛利率", | ||
| "毛利率-同比增长", | ||
| ] | ||
| ] | ||
| return big_df | ||
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| def stock_zygc_em(symbol: str = "SH688041") -> pd.DataFrame: | ||
| """ | ||
| 东方财富网-个股-主营构成 | ||
| https://emweb.securities.eastmoney.com/PC_HSF10/BusinessAnalysis/Index?type=web&code=SH688041# | ||
| :param symbol: 带市场标识的股票代码 | ||
| :type symbol: str | ||
| :return: 主营构成 | ||
| :rtype: pandas.DataFrame | ||
| """ | ||
| url = "https://emweb.securities.eastmoney.com/PC_HSF10/BusinessAnalysis/PageAjax" | ||
| params = {"code": symbol} | ||
| r = requests.get(url, params=params) | ||
| data_json = r.json() | ||
| temp_df = pd.DataFrame(data_json["zygcfx"]) | ||
| temp_df.rename( | ||
| columns={ | ||
| "SECUCODE": "-", | ||
| "SECURITY_CODE": "股票代码", | ||
| "REPORT_DATE": "报告日期", | ||
| "MAINOP_TYPE": "分类类型", | ||
| "ITEM_NAME": "主营构成", | ||
| "MAIN_BUSINESS_INCOME": "主营收入", | ||
| "MBI_RATIO": "收入比例", | ||
| "MAIN_BUSINESS_COST": "主营成本", | ||
| "MBC_RATIO": "成本比例", | ||
| "MAIN_BUSINESS_RPOFIT": "主营利润", | ||
| "MBR_RATIO": "利润比例", | ||
| "GROSS_RPOFIT_RATIO": "毛利率", | ||
| "RANK": "-", | ||
| }, | ||
| inplace=True, | ||
| ) | ||
| temp_df = temp_df[ | ||
| [ | ||
| "股票代码", | ||
| "报告日期", | ||
| "分类类型", | ||
| "主营构成", | ||
| "主营收入", | ||
| "收入比例", | ||
| "主营成本", | ||
| "成本比例", | ||
| "主营利润", | ||
| "利润比例", | ||
| "毛利率", | ||
| ] | ||
| ] | ||
| temp_df["报告日期"] = pd.to_datetime(temp_df["报告日期"]).dt.date | ||
| temp_df["分类类型"] = temp_df["分类类型"].map({"2": "按产品分类", "3": "按地区分类"}) | ||
| temp_df["主营收入"] = pd.to_numeric(temp_df["主营收入"], errors="coerce") | ||
| temp_df["收入比例"] = pd.to_numeric(temp_df["收入比例"], errors="coerce") | ||
| temp_df["主营成本"] = pd.to_numeric(temp_df["主营成本"], errors="coerce") | ||
| temp_df["成本比例"] = pd.to_numeric(temp_df["成本比例"], errors="coerce") | ||
| temp_df["主营利润"] = pd.to_numeric(temp_df["主营利润"], errors="coerce") | ||
| temp_df["利润比例"] = pd.to_numeric(temp_df["利润比例"], errors="coerce") | ||
| temp_df["毛利率"] = pd.to_numeric(temp_df["毛利率"], errors="coerce") | ||
| return temp_df | ||
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| if __name__ == "__main__": | ||
| stock_zygc_ym_df = stock_zygc_ym(symbol="000001") | ||
| print(stock_zygc_ym_df) | ||
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| stock_zygc_em_df = stock_zygc_em(symbol="SH688041") | ||
| print(stock_zygc_em_df) |
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