#!/usr/bin/env python # -*- coding:utf-8 -*- """ Date: 2025/9/24 15:00 Desc: 东方财富-行情中心-同行比较 https://emweb.securities.eastmoney.com/pc_hsf10/pages/index.html?type=web&code=000895&color=b#/thbj """ import pandas as pd import requests def stock_zh_growth_comparison_em(symbol: str = "SZ000895") -> pd.DataFrame: """ 东方财富-行情中心-同行比较-成长性比较 https://emweb.securities.eastmoney.com/pc_hsf10/pages/index.html?type=web&code=000895&color=b#/thbj/czxbj :param symbol: 股票代码 :type symbol: str :return: 成长性比较 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_PCF10_INDUSTRY_GROWTH", "columns": "ALL", "quoteColumns": "", "filter": f'(SECUCODE="{symbol[2:]}.{symbol[:2]}")', "pageNumber": "", "pageSize": "", "sortTypes": "1", "sortColumns": "PAIMING", "source": "HSF10", "client": "PC", "v": "02747607708067783", } r = requests.get(url, params=params) data_json = r.json() field_mapping = { "CORRE_SECURITY_CODE": "代码", "CORRE_SECURITY_NAME": "简称", "MGSY_3Y": "基本每股收益增长率-3年复合", "MGSYTB": "基本每股收益增长率-24A", "MGSYTTM": "基本每股收益增长率-TTM", "MGSY_1E": "基本每股收益增长率-25E", "MGSY_2E": "基本每股收益增长率-26E", "MGSY_3E": "基本每股收益增长率-27E", "YYSR_3Y": "营业收入增长率-3年复合", "YYSRTB": "营业收入增长率-24A", "YYSRTTM": "营业收入增长率-TTM", "YYSR_1E": "营业收入增长率-25E", "YYSR_2E": "营业收入增长率-26E", "YYSR_3E": "营业收入增长率-27E", "JLR_3Y": "净利润增长率-3年复合", "JLRTB": "净利润增长率-24A", "JLRTTM": "净利润增长率-TTM", "JLR_1E": "净利润增长率-25E", "JLR_2E": "净利润增长率-26E", "JLR_3E": "净利润增长率-27E", "PAIMING": "基本每股收益增长率-3年复合排名", } temp_df = pd.DataFrame(columns=field_mapping.values()) if data_json["result"] is not None: temp_df = pd.DataFrame(data_json["result"]["data"]) temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[field_mapping.values()] return temp_df def stock_zh_valuation_comparison_em(symbol: str = "SZ000895") -> pd.DataFrame: """ 东方财富-行情中心-同行比较-估值比较 https://emweb.securities.eastmoney.com/pc_hsf10/pages/index.html?type=web&code=000895&color=b#/thbj/gzbj :param symbol: 股票代码 :type symbol: str :return: 估值比较 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_PCF10_INDUSTRY_CVALUE", "columns": "ALL", "quoteColumns": "", "filter": f'(SECUCODE="{symbol[2:]}.{symbol[:2]}")', "pageNumber": "", "pageSize": "", "sortTypes": "1", "sortColumns": "PAIMING", "source": "HSF10", "client": "PC", } r = requests.get(url, params=params) data_json = r.json() temp_df = pd.DataFrame(data_json["result"]["data"]) field_mapping_result = { "CORRE_SECUCODE": "对应证券代码", "CORRE_SECURITY_CODE": "代码", "CORRE_SECURITY_NAME": "简称", "PB": "市净率-24A", "PB_MRQ": "市净率-MRQ", "PCE": "市现率1-24A", "PCE_TTM": "市现率1-TTM", "PCF": "市现率2-24A", "PCF_TTM": "市现率2-TTM", "PEG": "PEG", "PE_1Y": "市盈率-25E", "PE_2Y": "市盈率-26E", "PE_3Y": "市盈率-27E", "PE_TTM": "市盈率-TTM", "PS": "市销率-24A", "PS_1Y": "市销率-25E", "PS_2Y": "市销率-26E", "PS_3Y": "市销率-27E", "PS_TTM": "市销率-TTM", "QYBS": "EV/EBITDA-24A", "REPORT_DATE": "报告日期", "SECUCODE": "证券代码", "SECURITY_CODE": "行业标识", "TOTAL_COUNT": "证券数量", "PAIMING": "排名", } temp_df.rename(columns=field_mapping_result, inplace=True) temp_df = temp_df[ [ "排名", "代码", "简称", "PEG", "市盈率-TTM", "市盈率-25E", "市盈率-26E", "市盈率-27E", "市销率-24A", "市销率-TTM", "市销率-25E", "市销率-26E", "市销率-27E", "市净率-24A", "市净率-MRQ", "市现率1-24A", "市现率1-TTM", "市现率2-24A", "市现率2-TTM", "EV/EBITDA-24A", ] ] temp_df = pd.concat([temp_df.iloc[-1:], temp_df.iloc[:-1]]).reset_index(drop=True) temp_df["排名"] = temp_df["排名"].astype(str) temp_df.iloc[0, 0] = ( f"{temp_df.iloc[0, 0]}/{data_json['result']['data'][0]['TOTAL_COUNT']}" ) row1 = temp_df.iloc[1].copy() row2 = temp_df.iloc[2].copy() # 交换位置 temp_df.iloc[1] = row2 temp_df.iloc[2] = row1 return temp_df def stock_zh_dupont_comparison_em(symbol: str = "SZ000895") -> pd.DataFrame: """ 东方财富-行情中心-同行比较-杜邦分析比较 https://emweb.securities.eastmoney.com/pc_hsf10/pages/index.html?type=web&code=000895&color=b#/thbj/dbfxbj :param symbol: 股票代码 :type symbol: str :return: 杜邦分析比较 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_PCF10_INDUSTRY_DBFX", "columns": "ALL", "quoteColumns": "", "filter": f'(SECUCODE="{symbol[2:]}.{symbol[:2]}")', "pageNumber": "", "pageSize": "", "sortTypes": "1", "sortColumns": "PAIMING", "source": "HSF10", "client": "PC", "v": "05086361194054821", } r = requests.get(url, params=params) data_json = r.json() field_mapping = { "CORRE_SECURITY_CODE": "代码", "CORRE_SECURITY_NAME": "简称", "ROE_AVG": "ROE-3年平均", "ROEPJ_L3": "ROE-22A", "ROEPJ_L2": "ROE-23A", "ROEPJ_L1": "ROE-24A", "XSJLL_AVG": "净利率-3年平均", "XSJLL_L3": "净利率-22A", "XSJLL_L2": "净利率-23A", "XSJLL_L1": "净利率-24A", "TOAZZL_AVG": "总资产周转率-3年平均", "TOAZZL_L3": "总资产周转率-22A", "TOAZZL_L2": "总资产周转率-23A", "TOAZZL_L1": "总资产周转率-24A", "QYCS_AVG": "权益乘数-3年平均", "QYCS_L3": "权益乘数-22A", "QYCS_L2": "权益乘数-23A", "QYCS_L1": "权益乘数-24A", "PAIMING": "ROE-3年平均排名", } temp_df = pd.DataFrame(columns=field_mapping.values()) if data_json["result"] is not None: temp_df = pd.DataFrame(data_json["result"]["data"]) temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[field_mapping.values()] return temp_df def stock_zh_scale_comparison_em(symbol: str = "SZ000895") -> pd.DataFrame: """ 东方财富-行情中心-同行比较-公司规模 https://emweb.securities.eastmoney.com/pc_hsf10/pages/index.html?type=web&code=000895&color=b#/thbj/gsgm :type symbol: str :return: 公司规模 :rtype: pandas.DataFrame """ url = "https://datacenter.eastmoney.com/securities/api/data/v1/get" params = { "reportName": "RPT_PCF10_INDUSTRY_MARKET", "columns": "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,ORG_CODE," "CORRE_SECUCODE,CORRE_SECURITY_CODE,CORRE_SECURITY_NAME," "CORRE_ORG_CODE,TOTAL_CAP,FREECAP,TOTAL_OPERATEINCOME," "NETPROFIT,REPORT_TYPE,TOTAL_CAP_RANK,FREECAP_RANK," "TOTAL_OPERATEINCOME_RANK,NETPROFIT_RANK", "quoteColumns": "", "filter": f'(SECUCODE="{symbol[2:]}.{symbol[:2]}")(CORRE_SECUCODE="{symbol[2:]}.{symbol[:2]}")', "pageNumber": "1", "pageSize": "5", "sortTypes": "-1", "sortColumns": "TOTAL_CAP", "source": "HSF10", "client": "PC", "v": "005391946600478148", } r = requests.get(url, params=params) data_json = r.json() field_mapping = { "CORRE_SECURITY_CODE": "代码", "CORRE_SECURITY_NAME": "简称", "TOTAL_CAP": "总市值", "TOTAL_CAP_RANK": "总市值排名", "FREECAP": "流通市值", "FREECAP_RANK": "流通市值排名", "TOTAL_OPERATEINCOME": "营业收入", "TOTAL_OPERATEINCOME_RANK": "营业收入排名", "NETPROFIT": "净利润", "NETPROFIT_RANK": "净利润排名", } temp_df = pd.DataFrame(columns=field_mapping.values()) if data_json["result"] is not None: temp_df = pd.DataFrame(data_json["result"]["data"]) temp_df.rename(columns=field_mapping, inplace=True) temp_df = temp_df[field_mapping.values()] return temp_df if __name__ == "__main__": stock_zh_growth_comparison_em_df = stock_zh_growth_comparison_em(symbol="SZ000895") print(stock_zh_growth_comparison_em_df) stock_zh_valuation_comparison_em_df = stock_zh_valuation_comparison_em( symbol="SZ000895" ) print(stock_zh_valuation_comparison_em_df) stock_zh_dupont_comparison_em_df = stock_zh_dupont_comparison_em(symbol="SZ000895") print(stock_zh_dupont_comparison_em_df) stock_zh_scale_comparison_em_df = stock_zh_scale_comparison_em(symbol="SZ000895") print(stock_zh_scale_comparison_em_df)