{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d295d21d",
   "metadata": {},
   "source": [
    "# 上市公司财务画像与同业比较分析\n",
    "\n",
    "## 目标公司：美的集团\n",
    "\n",
    "## 可比公司：格力电器、海尔智家、小熊电器、苏泊尔、老板电器"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c5e482b",
   "metadata": {},
   "source": [
    "## 一、环境配置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67ab7d85",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import tushare as ts\n",
    "import time\n",
    "\n",
    "# 设置中文字体，避免图表中文乱码\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 设置 Tushare Token\n",
    "token = '60b47421f935f1c4ed1420061107d4bb2a3caaf586a007f4b6fc5c2c'\n",
    "ts.set_token(token)\n",
    "pro = ts.pro_api()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8783198",
   "metadata": {},
   "source": [
    "## 二、研究对象选择\n",
    "\n",
    "本项目选择美的集团作为目标公司。美的集团是家电行业中规模较大的公司，业务比较稳定，财务数据也比较完整。\n",
    "\n",
    "可比公司选择格力电器、海尔智家、小熊电器、苏泊尔和老板电器。这些公司都属于家电或家电相关行业，适合与美的集团进行同业比较。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8c554b67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'000333.SZ': '美的集团',\n",
       " '000651.SZ': '格力电器',\n",
       " '600690.SH': '海尔智家',\n",
       " '002959.SZ': '小熊电器',\n",
       " '002032.SZ': '苏泊尔',\n",
       " '002508.SZ': '老板电器'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 公司股票代码和简称\n",
    "companies = {\n",
    "    '000333.SZ': '美的集团',\n",
    "    '000651.SZ': '格力电器',\n",
    "    '600690.SH': '海尔智家',\n",
    "    '002959.SZ': '小熊电器',\n",
    "    '002032.SZ': '苏泊尔',\n",
    "    '002508.SZ': '老板电器'\n",
    "}\n",
    "\n",
    "company_codes = list(companies.keys())\n",
    "target_code = '000333.SZ'\n",
    "target_name = companies[target_code]\n",
    "\n",
    "companies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f564a08",
   "metadata": {},
   "source": [
    "## 三、公司基本信息表\n",
    "\n",
    "先获取公司代码、公司简称、所属行业、上市日期、所在地区等基本信息。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7a218c5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>股票代码</th>\n",
       "      <th>公司简称</th>\n",
       "      <th>Tushare名称</th>\n",
       "      <th>所属行业</th>\n",
       "      <th>所在地区</th>\n",
       "      <th>上市日期</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>格力电器</td>\n",
       "      <td>格力电器</td>\n",
       "      <td>家用电器</td>\n",
       "      <td>广东</td>\n",
       "      <td>19961118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>600690.SH</td>\n",
       "      <td>海尔智家</td>\n",
       "      <td>海尔智家</td>\n",
       "      <td>家用电器</td>\n",
       "      <td>山东</td>\n",
       "      <td>19931119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>002032.SZ</td>\n",
       "      <td>苏泊尔</td>\n",
       "      <td>苏泊尔</td>\n",
       "      <td>家用电器</td>\n",
       "      <td>浙江</td>\n",
       "      <td>20040817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1868</th>\n",
       "      <td>002508.SZ</td>\n",
       "      <td>老板电器</td>\n",
       "      <td>老板电器</td>\n",
       "      <td>家用电器</td>\n",
       "      <td>浙江</td>\n",
       "      <td>20101123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2389</th>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>美的集团</td>\n",
       "      <td>美的集团</td>\n",
       "      <td>家用电器</td>\n",
       "      <td>广东</td>\n",
       "      <td>20130918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3599</th>\n",
       "      <td>002959.SZ</td>\n",
       "      <td>小熊电器</td>\n",
       "      <td>小熊电器</td>\n",
       "      <td>家用电器</td>\n",
       "      <td>广东</td>\n",
       "      <td>20190823</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           股票代码  公司简称 Tushare名称  所属行业 所在地区      上市日期\n",
       "189   000651.SZ  格力电器      格力电器  家用电器   广东  19961118\n",
       "925   600690.SH  海尔智家      海尔智家  家用电器   山东  19931119\n",
       "1144  002032.SZ   苏泊尔       苏泊尔  家用电器   浙江  20040817\n",
       "1868  002508.SZ  老板电器      老板电器  家用电器   浙江  20101123\n",
       "2389  000333.SZ  美的集团      美的集团  家用电器   广东  20130918\n",
       "3599  002959.SZ  小熊电器      小熊电器  家用电器   广东  20190823"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取全部 A 股基础信息\n",
    "stock_all = pro.stock_basic(\n",
    "    exchange='',\n",
    "    list_status='L',\n",
    "    fields='ts_code,symbol,name,area,industry,list_date'\n",
    ")\n",
    "\n",
    "# 筛选本项目需要的公司\n",
    "basic_info = stock_all[stock_all['ts_code'].isin(company_codes)].copy()\n",
    "basic_info['公司简称'] = basic_info['ts_code'].map(companies)\n",
    "basic_info = basic_info[['ts_code', '公司简称', 'name', 'industry', 'area', 'list_date']]\n",
    "basic_info.columns = ['股票代码', '公司简称', 'Tushare名称', '所属行业', '所在地区', '上市日期']\n",
    "\n",
    "basic_info"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9f0d194",
   "metadata": {},
   "source": [
    "## 四、财务指标数据获取\n",
    "\n",
    "这里获取 2020 年到 2024 年的年度财务指标数据。\n",
    "\n",
    "保留的指标主要包括：\n",
    "\n",
    "| 指标 | 简单含义 |\n",
    "| --- | --- |\n",
    "| ROE | 净资产收益率，表示股东投入的钱带来的收益能力 |\n",
    "| ROA | 总资产收益率，表示公司全部资产的赚钱能力 |\n",
    "| 毛利率 | 产品销售后剩下的毛利比例 |\n",
    "| 净利率 | 营业收入中最后变成净利润的比例 |\n",
    "| 资产负债率 | 公司资产中有多少是靠负债形成的 |\n",
    "| 流动比率 | 短期偿债能力指标 |\n",
    "| 速动比率 | 比流动比率更严格的短期偿债能力指标 |\n",
    "| 总资产周转率 | 资产使用效率 |\n",
    "| 应收账款周转率 | 收回应收账款的效率 |\n",
    "| 营业收入增长率 | 收入增长情况 |\n",
    "| 净利润增长率 | 利润增长情况 |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ecb0d0e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>ann_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>roe</th>\n",
       "      <th>roa</th>\n",
       "      <th>grossprofit_margin</th>\n",
       "      <th>netprofit_margin</th>\n",
       "      <th>debt_to_assets</th>\n",
       "      <th>current_ratio</th>\n",
       "      <th>quick_ratio</th>\n",
       "      <th>assets_turn</th>\n",
       "      <th>ar_turn</th>\n",
       "      <th>or_yoy</th>\n",
       "      <th>netprofit_yoy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>20250329</td>\n",
       "      <td>20241231</td>\n",
       "      <td>20.3026</td>\n",
       "      <td>7.6930</td>\n",
       "      <td>26.4190</td>\n",
       "      <td>9.5192</td>\n",
       "      <td>62.3287</td>\n",
       "      <td>1.1059</td>\n",
       "      <td>0.9258</td>\n",
       "      <td>0.7503</td>\n",
       "      <td>11.8558</td>\n",
       "      <td>9.4378</td>\n",
       "      <td>14.2862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>20241031</td>\n",
       "      <td>20240930</td>\n",
       "      <td>17.0532</td>\n",
       "      <td>6.5785</td>\n",
       "      <td>26.7560</td>\n",
       "      <td>10.0795</td>\n",
       "      <td>61.1574</td>\n",
       "      <td>1.1241</td>\n",
       "      <td>0.9912</td>\n",
       "      <td>0.6083</td>\n",
       "      <td>9.1385</td>\n",
       "      <td>9.5717</td>\n",
       "      <td>14.3651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>20240820</td>\n",
       "      <td>20240630</td>\n",
       "      <td>12.6980</td>\n",
       "      <td>4.6000</td>\n",
       "      <td>27.0932</td>\n",
       "      <td>9.7302</td>\n",
       "      <td>65.2044</td>\n",
       "      <td>1.0920</td>\n",
       "      <td>0.9461</td>\n",
       "      <td>0.4395</td>\n",
       "      <td>5.6623</td>\n",
       "      <td>10.2979</td>\n",
       "      <td>14.1062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>20240430</td>\n",
       "      <td>20240331</td>\n",
       "      <td>5.3671</td>\n",
       "      <td>1.9197</td>\n",
       "      <td>27.3202</td>\n",
       "      <td>8.5167</td>\n",
       "      <td>63.0765</td>\n",
       "      <td>1.1483</td>\n",
       "      <td>0.9861</td>\n",
       "      <td>0.2164</td>\n",
       "      <td>2.9124</td>\n",
       "      <td>10.2206</td>\n",
       "      <td>11.9146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>20240328</td>\n",
       "      <td>20231231</td>\n",
       "      <td>22.0526</td>\n",
       "      <td>7.9538</td>\n",
       "      <td>26.4909</td>\n",
       "      <td>9.0704</td>\n",
       "      <td>64.1387</td>\n",
       "      <td>1.1197</td>\n",
       "      <td>0.9313</td>\n",
       "      <td>0.8226</td>\n",
       "      <td>12.1735</td>\n",
       "      <td>8.1763</td>\n",
       "      <td>14.0979</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ts_code  ann_date  end_date      roe     roa  grossprofit_margin  \\\n",
       "0  000333.SZ  20250329  20241231  20.3026  7.6930             26.4190   \n",
       "1  000333.SZ  20241031  20240930  17.0532  6.5785             26.7560   \n",
       "2  000333.SZ  20240820  20240630  12.6980  4.6000             27.0932   \n",
       "3  000333.SZ  20240430  20240331   5.3671  1.9197             27.3202   \n",
       "4  000333.SZ  20240328  20231231  22.0526  7.9538             26.4909   \n",
       "\n",
       "   netprofit_margin  debt_to_assets  current_ratio  quick_ratio  assets_turn  \\\n",
       "0            9.5192         62.3287         1.1059       0.9258       0.7503   \n",
       "1           10.0795         61.1574         1.1241       0.9912       0.6083   \n",
       "2            9.7302         65.2044         1.0920       0.9461       0.4395   \n",
       "3            8.5167         63.0765         1.1483       0.9861       0.2164   \n",
       "4            9.0704         64.1387         1.1197       0.9313       0.8226   \n",
       "\n",
       "   ar_turn   or_yoy  netprofit_yoy  \n",
       "0  11.8558   9.4378        14.2862  \n",
       "1   9.1385   9.5717        14.3651  \n",
       "2   5.6623  10.2979        14.1062  \n",
       "3   2.9124  10.2206        11.9146  \n",
       "4  12.1735   8.1763        14.0979  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 需要的字段\n",
    "fields = 'ts_code,ann_date,end_date,roe,roa,grossprofit_margin,netprofit_margin,debt_to_assets,current_ratio,quick_ratio,assets_turn,ar_turn,or_yoy,netprofit_yoy'\n",
    "\n",
    "all_data = []\n",
    "\n",
    "# 循环获取每家公司的财务指标\n",
    "for code in company_codes:\n",
    "    df = pro.fina_indicator(\n",
    "        ts_code=code,\n",
    "        start_date='20200101',\n",
    "        end_date='20241231',\n",
    "        fields=fields\n",
    "    )\n",
    "    all_data.append(df)\n",
    "    time.sleep(0.5)\n",
    "\n",
    "financial = pd.concat(all_data, ignore_index=True)\n",
    "financial.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60307489",
   "metadata": {},
   "source": [
    "## 五、数据清洗\n",
    "\n",
    "主要处理内容：\n",
    "\n",
    "1. 只保留每年 12 月 31 日的年报数据；\n",
    "2. 如果同一年有重复数据，保留最后公告的一条；\n",
    "3. 增加年份和公司简称；\n",
    "4. 对缺失值做简单处理，避免后面画图时报错。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6c5244d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>ts_code</th>\n",
       "      <th>year</th>\n",
       "      <th>roe</th>\n",
       "      <th>roa</th>\n",
       "      <th>grossprofit_margin</th>\n",
       "      <th>netprofit_margin</th>\n",
       "      <th>debt_to_assets</th>\n",
       "      <th>current_ratio</th>\n",
       "      <th>quick_ratio</th>\n",
       "      <th>assets_turn</th>\n",
       "      <th>ar_turn</th>\n",
       "      <th>or_yoy</th>\n",
       "      <th>netprofit_yoy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2020</td>\n",
       "      <td>24.8401</td>\n",
       "      <td>8.8493</td>\n",
       "      <td>25.1148</td>\n",
       "      <td>9.6779</td>\n",
       "      <td>65.5263</td>\n",
       "      <td>1.3123</td>\n",
       "      <td>1.1435</td>\n",
       "      <td>0.8627</td>\n",
       "      <td>13.6506</td>\n",
       "      <td>2.1585</td>\n",
       "      <td>12.4395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2021</td>\n",
       "      <td>23.5771</td>\n",
       "      <td>7.9894</td>\n",
       "      <td>22.4794</td>\n",
       "      <td>8.5031</td>\n",
       "      <td>65.2464</td>\n",
       "      <td>1.1167</td>\n",
       "      <td>0.9107</td>\n",
       "      <td>0.9177</td>\n",
       "      <td>14.3331</td>\n",
       "      <td>20.0590</td>\n",
       "      <td>4.9615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2022</td>\n",
       "      <td>22.0711</td>\n",
       "      <td>7.6370</td>\n",
       "      <td>24.2438</td>\n",
       "      <td>8.6678</td>\n",
       "      <td>64.0464</td>\n",
       "      <td>1.2654</td>\n",
       "      <td>1.0422</td>\n",
       "      <td>0.8531</td>\n",
       "      <td>13.0088</td>\n",
       "      <td>0.7867</td>\n",
       "      <td>3.4292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2023</td>\n",
       "      <td>22.0526</td>\n",
       "      <td>7.9538</td>\n",
       "      <td>26.4909</td>\n",
       "      <td>9.0704</td>\n",
       "      <td>64.1387</td>\n",
       "      <td>1.1197</td>\n",
       "      <td>0.9313</td>\n",
       "      <td>0.8226</td>\n",
       "      <td>12.1735</td>\n",
       "      <td>8.1763</td>\n",
       "      <td>14.0979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>20.3026</td>\n",
       "      <td>7.6930</td>\n",
       "      <td>26.4190</td>\n",
       "      <td>9.5192</td>\n",
       "      <td>62.3287</td>\n",
       "      <td>1.1059</td>\n",
       "      <td>0.9258</td>\n",
       "      <td>0.7503</td>\n",
       "      <td>11.8558</td>\n",
       "      <td>9.4378</td>\n",
       "      <td>14.2862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>格力电器</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>2020</td>\n",
       "      <td>19.6811</td>\n",
       "      <td>8.4274</td>\n",
       "      <td>26.1417</td>\n",
       "      <td>13.2457</td>\n",
       "      <td>58.1400</td>\n",
       "      <td>1.3480</td>\n",
       "      <td>1.1721</td>\n",
       "      <td>0.6065</td>\n",
       "      <td>19.4996</td>\n",
       "      <td>-15.1165</td>\n",
       "      <td>-10.2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>格力电器</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>2021</td>\n",
       "      <td>21.0780</td>\n",
       "      <td>8.1203</td>\n",
       "      <td>24.2814</td>\n",
       "      <td>12.1531</td>\n",
       "      <td>66.2309</td>\n",
       "      <td>1.1459</td>\n",
       "      <td>0.9289</td>\n",
       "      <td>0.6334</td>\n",
       "      <td>16.6409</td>\n",
       "      <td>11.6943</td>\n",
       "      <td>4.0073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>格力电器</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>2022</td>\n",
       "      <td>24.4564</td>\n",
       "      <td>7.5323</td>\n",
       "      <td>26.0355</td>\n",
       "      <td>12.1761</td>\n",
       "      <td>71.3045</td>\n",
       "      <td>1.1792</td>\n",
       "      <td>1.0021</td>\n",
       "      <td>0.5637</td>\n",
       "      <td>13.1857</td>\n",
       "      <td>0.5959</td>\n",
       "      <td>6.2561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>格力电器</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>2023</td>\n",
       "      <td>27.1759</td>\n",
       "      <td>8.1839</td>\n",
       "      <td>30.5687</td>\n",
       "      <td>13.5891</td>\n",
       "      <td>67.2205</td>\n",
       "      <td>1.1351</td>\n",
       "      <td>0.9730</td>\n",
       "      <td>0.5671</td>\n",
       "      <td>13.1922</td>\n",
       "      <td>7.9322</td>\n",
       "      <td>18.4063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>格力电器</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>25.3212</td>\n",
       "      <td>9.0411</td>\n",
       "      <td>29.4282</td>\n",
       "      <td>17.1127</td>\n",
       "      <td>61.5485</td>\n",
       "      <td>1.1177</td>\n",
       "      <td>0.9790</td>\n",
       "      <td>0.5163</td>\n",
       "      <td>11.4884</td>\n",
       "      <td>-7.2633</td>\n",
       "      <td>10.9148</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    name    ts_code  year      roe     roa  grossprofit_margin  \\\n",
       "26  美的集团  000333.SZ  2020  24.8401  8.8493             25.1148   \n",
       "18  美的集团  000333.SZ  2021  23.5771  7.9894             22.4794   \n",
       "10  美的集团  000333.SZ  2022  22.0711  7.6370             24.2438   \n",
       "4   美的集团  000333.SZ  2023  22.0526  7.9538             26.4909   \n",
       "0   美的集团  000333.SZ  2024  20.3026  7.6930             26.4190   \n",
       "58  格力电器  000651.SZ  2020  19.6811  8.4274             26.1417   \n",
       "50  格力电器  000651.SZ  2021  21.0780  8.1203             24.2814   \n",
       "42  格力电器  000651.SZ  2022  24.4564  7.5323             26.0355   \n",
       "36  格力电器  000651.SZ  2023  27.1759  8.1839             30.5687   \n",
       "32  格力电器  000651.SZ  2024  25.3212  9.0411             29.4282   \n",
       "\n",
       "    netprofit_margin  debt_to_assets  current_ratio  quick_ratio  assets_turn  \\\n",
       "26            9.6779         65.5263         1.3123       1.1435       0.8627   \n",
       "18            8.5031         65.2464         1.1167       0.9107       0.9177   \n",
       "10            8.6678         64.0464         1.2654       1.0422       0.8531   \n",
       "4             9.0704         64.1387         1.1197       0.9313       0.8226   \n",
       "0             9.5192         62.3287         1.1059       0.9258       0.7503   \n",
       "58           13.2457         58.1400         1.3480       1.1721       0.6065   \n",
       "50           12.1531         66.2309         1.1459       0.9289       0.6334   \n",
       "42           12.1761         71.3045         1.1792       1.0021       0.5637   \n",
       "36           13.5891         67.2205         1.1351       0.9730       0.5671   \n",
       "32           17.1127         61.5485         1.1177       0.9790       0.5163   \n",
       "\n",
       "    ar_turn   or_yoy  netprofit_yoy  \n",
       "26  13.6506   2.1585        12.4395  \n",
       "18  14.3331  20.0590         4.9615  \n",
       "10  13.0088   0.7867         3.4292  \n",
       "4   12.1735   8.1763        14.0979  \n",
       "0   11.8558   9.4378        14.2862  \n",
       "58  19.4996 -15.1165       -10.2100  \n",
       "50  16.6409  11.6943         4.0073  \n",
       "42  13.1857   0.5959         6.2561  \n",
       "36  13.1922   7.9322        18.4063  \n",
       "32  11.4884  -7.2633        10.9148  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 转成字符串，方便筛选年度报告\n",
    "financial['end_date'] = financial['end_date'].astype(str)\n",
    "financial['ann_date'] = financial['ann_date'].astype(str)\n",
    "\n",
    "# 只保留 12 月 31 日的年度数据\n",
    "financial = financial[financial['end_date'].str.endswith('1231')].copy()\n",
    "\n",
    "# 同一家公司同一年可能有多条记录，这里保留最后公告的一条\n",
    "financial = financial.sort_values(['ts_code', 'end_date', 'ann_date'])\n",
    "financial = financial.drop_duplicates(['ts_code', 'end_date'], keep='last')\n",
    "\n",
    "# 增加年份和公司简称\n",
    "financial['year'] = financial['end_date'].str[:4].astype(int)\n",
    "financial['name'] = financial['ts_code'].map(companies)\n",
    "\n",
    "# 缺失值先用 0 填充，方便后续计算和画图\n",
    "financial = financial.fillna(0)\n",
    "\n",
    "# 调整列顺序\n",
    "financial_table = financial[[\n",
    "    'name', 'ts_code', 'year',\n",
    "    'roe', 'roa', 'grossprofit_margin', 'netprofit_margin',\n",
    "    'debt_to_assets', 'current_ratio', 'quick_ratio',\n",
    "    'assets_turn', 'ar_turn', 'or_yoy', 'netprofit_yoy'\n",
    "]].copy()\n",
    "\n",
    "financial_table = financial_table.sort_values(['ts_code', 'year'])\n",
    "financial_table.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f989252",
   "metadata": {},
   "source": [
    "## 六、目标公司财务静态分析\n",
    "\n",
    "下面选择美的集团最新一年的数据，从盈利能力、偿债能力、营运能力和成长能力四个方面进行简单分析。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d2c0028",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>ts_code</th>\n",
       "      <th>year</th>\n",
       "      <th>roe</th>\n",
       "      <th>roa</th>\n",
       "      <th>grossprofit_margin</th>\n",
       "      <th>netprofit_margin</th>\n",
       "      <th>debt_to_assets</th>\n",
       "      <th>current_ratio</th>\n",
       "      <th>quick_ratio</th>\n",
       "      <th>assets_turn</th>\n",
       "      <th>ar_turn</th>\n",
       "      <th>or_yoy</th>\n",
       "      <th>netprofit_yoy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>20.3026</td>\n",
       "      <td>7.693</td>\n",
       "      <td>26.419</td>\n",
       "      <td>9.5192</td>\n",
       "      <td>62.3287</td>\n",
       "      <td>1.1059</td>\n",
       "      <td>0.9258</td>\n",
       "      <td>0.7503</td>\n",
       "      <td>11.8558</td>\n",
       "      <td>9.4378</td>\n",
       "      <td>14.2862</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   name    ts_code  year      roe    roa  grossprofit_margin  \\\n",
       "0  美的集团  000333.SZ  2024  20.3026  7.693              26.419   \n",
       "\n",
       "   netprofit_margin  debt_to_assets  current_ratio  quick_ratio  assets_turn  \\\n",
       "0            9.5192         62.3287         1.1059       0.9258       0.7503   \n",
       "\n",
       "   ar_turn  or_yoy  netprofit_yoy  \n",
       "0  11.8558  9.4378        14.2862  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 找到美的集团最新年度\n",
    "target_year = financial_table[financial_table['ts_code'] == target_code]['year'].max()\n",
    "\n",
    "# 取出美的集团最新年度数据\n",
    "target_latest = financial_table[\n",
    "    (financial_table['ts_code'] == target_code) &\n",
    "    (financial_table['year'] == target_year)\n",
    "].copy()\n",
    "\n",
    "# 取出主要指标，方便查看\n",
    "target_latest"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec88e0ac",
   "metadata": {},
   "source": [
    "## 静态分析说明\n",
    "\n",
    "根据最新年度数据，美的集团的财务情况可以从下面几个方面来看：\n",
    "\n",
    "1. **盈利能力**：美的集团的 ROE 保持在较高水平，说明公司利用股东资金获得利润的能力比较强。毛利率和净利率也说明公司有一定的盈利基础。\n",
    "2. **偿债能力**：资产负债率在 60% 左右，说明公司有一定负债压力，但家电企业规模较大，存在一定负债也比较常见。\n",
    "3. **营运能力**：总资产周转率和应收账款周转率可以反映资产使用效率。从表中可以看出，美的集团的资产仍然能持续产生收入。\n",
    "4. **成长能力**：营业收入增长率和净利润增长率为正，说明公司收入和利润仍在增长，整体经营情况比较稳定。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5af8bbb4",
   "metadata": {},
   "source": [
    "## 七、目标公司财务趋势分析\n",
    "\n",
    "观察美的集团 2020—2024 年主要财务指标变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5e73d128",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>ts_code</th>\n",
       "      <th>year</th>\n",
       "      <th>roe</th>\n",
       "      <th>roa</th>\n",
       "      <th>grossprofit_margin</th>\n",
       "      <th>netprofit_margin</th>\n",
       "      <th>debt_to_assets</th>\n",
       "      <th>current_ratio</th>\n",
       "      <th>quick_ratio</th>\n",
       "      <th>assets_turn</th>\n",
       "      <th>ar_turn</th>\n",
       "      <th>or_yoy</th>\n",
       "      <th>netprofit_yoy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2020</td>\n",
       "      <td>24.8401</td>\n",
       "      <td>8.8493</td>\n",
       "      <td>25.1148</td>\n",
       "      <td>9.6779</td>\n",
       "      <td>65.5263</td>\n",
       "      <td>1.3123</td>\n",
       "      <td>1.1435</td>\n",
       "      <td>0.8627</td>\n",
       "      <td>13.6506</td>\n",
       "      <td>2.1585</td>\n",
       "      <td>12.4395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2021</td>\n",
       "      <td>23.5771</td>\n",
       "      <td>7.9894</td>\n",
       "      <td>22.4794</td>\n",
       "      <td>8.5031</td>\n",
       "      <td>65.2464</td>\n",
       "      <td>1.1167</td>\n",
       "      <td>0.9107</td>\n",
       "      <td>0.9177</td>\n",
       "      <td>14.3331</td>\n",
       "      <td>20.0590</td>\n",
       "      <td>4.9615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2022</td>\n",
       "      <td>22.0711</td>\n",
       "      <td>7.6370</td>\n",
       "      <td>24.2438</td>\n",
       "      <td>8.6678</td>\n",
       "      <td>64.0464</td>\n",
       "      <td>1.2654</td>\n",
       "      <td>1.0422</td>\n",
       "      <td>0.8531</td>\n",
       "      <td>13.0088</td>\n",
       "      <td>0.7867</td>\n",
       "      <td>3.4292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2023</td>\n",
       "      <td>22.0526</td>\n",
       "      <td>7.9538</td>\n",
       "      <td>26.4909</td>\n",
       "      <td>9.0704</td>\n",
       "      <td>64.1387</td>\n",
       "      <td>1.1197</td>\n",
       "      <td>0.9313</td>\n",
       "      <td>0.8226</td>\n",
       "      <td>12.1735</td>\n",
       "      <td>8.1763</td>\n",
       "      <td>14.0979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>20.3026</td>\n",
       "      <td>7.6930</td>\n",
       "      <td>26.4190</td>\n",
       "      <td>9.5192</td>\n",
       "      <td>62.3287</td>\n",
       "      <td>1.1059</td>\n",
       "      <td>0.9258</td>\n",
       "      <td>0.7503</td>\n",
       "      <td>11.8558</td>\n",
       "      <td>9.4378</td>\n",
       "      <td>14.2862</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    name    ts_code  year      roe     roa  grossprofit_margin  \\\n",
       "26  美的集团  000333.SZ  2020  24.8401  8.8493             25.1148   \n",
       "18  美的集团  000333.SZ  2021  23.5771  7.9894             22.4794   \n",
       "10  美的集团  000333.SZ  2022  22.0711  7.6370             24.2438   \n",
       "4   美的集团  000333.SZ  2023  22.0526  7.9538             26.4909   \n",
       "0   美的集团  000333.SZ  2024  20.3026  7.6930             26.4190   \n",
       "\n",
       "    netprofit_margin  debt_to_assets  current_ratio  quick_ratio  assets_turn  \\\n",
       "26            9.6779         65.5263         1.3123       1.1435       0.8627   \n",
       "18            8.5031         65.2464         1.1167       0.9107       0.9177   \n",
       "10            8.6678         64.0464         1.2654       1.0422       0.8531   \n",
       "4             9.0704         64.1387         1.1197       0.9313       0.8226   \n",
       "0             9.5192         62.3287         1.1059       0.9258       0.7503   \n",
       "\n",
       "    ar_turn   or_yoy  netprofit_yoy  \n",
       "26  13.6506   2.1585        12.4395  \n",
       "18  14.3331  20.0590         4.9615  \n",
       "10  13.0088   0.7867         3.4292  \n",
       "4   12.1735   8.1763        14.0979  \n",
       "0   11.8558   9.4378        14.2862  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 美的集团历年数据\n",
    "target_trend = financial_table[financial_table['ts_code'] == target_code].sort_values('year')\n",
    "target_trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1cf97b07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图1：ROE 和 ROA 趋势\n",
    "plt.figure(figsize=(8, 4))\n",
    "plt.plot(target_trend['year'], target_trend['roe'], marker='o', label='ROE')\n",
    "plt.plot(target_trend['year'], target_trend['roa'], marker='o', label='ROA')\n",
    "plt.title('美的集团 ROE 和 ROA 趋势')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('百分比')\n",
    "plt.xticks(target_trend['year'])\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "31c374da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图2：毛利率和净利率趋势\n",
    "plt.figure(figsize=(8, 4))\n",
    "plt.plot(target_trend['year'], target_trend['grossprofit_margin'], marker='o', label='毛利率')\n",
    "plt.plot(target_trend['year'], target_trend['netprofit_margin'], marker='o', label='净利率')\n",
    "plt.title('美的集团毛利率和净利率趋势')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('百分比')\n",
    "plt.xticks(target_trend['year'])\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d7926dc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图3：营业收入增长率和净利润增长率趋势\n",
    "plt.figure(figsize=(8, 4))\n",
    "plt.plot(target_trend['year'], target_trend['or_yoy'], marker='o', label='营业收入增长率')\n",
    "plt.plot(target_trend['year'], target_trend['netprofit_yoy'], marker='o', label='净利润增长率')\n",
    "plt.title('美的集团收入和利润增长趋势')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('百分比')\n",
    "plt.xticks(target_trend['year'])\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.axhline(0, color='gray', linewidth=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "784a0ed7",
   "metadata": {},
   "source": [
    "## 趋势分析说明\n",
    "\n",
    "从 2020 年到 2024 年的趋势图可以看出：\n",
    "\n",
    "1. **盈利能力变化**：美的集团的 ROE 仍然保持在较高水平，但近几年有小幅下降，说明盈利能力比较强，不过增长速度没有以前那么快。\n",
    "2. **利润率变化**：毛利率和净利率整体比较稳定，说明公司控制成本和获得利润的能力比较稳。\n",
    "3. **成长情况变化**：营业收入增长率和净利润增长率有一定波动，但最近一年仍然是正增长，说明公司经营还在继续扩大。\n",
    "\n",
    "总体来看，美的集团近几年财务表现比较稳定，但部分指标存在波动，需要结合行业竞争情况继续观察。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "914ea3e8",
   "metadata": {},
   "source": [
    "## 八、同业比较分析\n",
    "\n",
    "这里选择最新年度，把美的集团和 5 家可比公司放在一起比较。\n",
    "\n",
    "比较指标不少于 5 个，这里使用 ROE、ROA、毛利率、净利率、资产负债率、总资产周转率、营业收入增长率和净利润增长率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c041f1be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>ts_code</th>\n",
       "      <th>year</th>\n",
       "      <th>roe</th>\n",
       "      <th>roa</th>\n",
       "      <th>grossprofit_margin</th>\n",
       "      <th>netprofit_margin</th>\n",
       "      <th>debt_to_assets</th>\n",
       "      <th>assets_turn</th>\n",
       "      <th>or_yoy</th>\n",
       "      <th>netprofit_yoy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>苏泊尔</td>\n",
       "      <td>002032.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>35.1525</td>\n",
       "      <td>20.2754</td>\n",
       "      <td>24.6532</td>\n",
       "      <td>10.0112</td>\n",
       "      <td>51.2920</td>\n",
       "      <td>1.7008</td>\n",
       "      <td>5.2732</td>\n",
       "      <td>2.9657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>格力电器</td>\n",
       "      <td>000651.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>25.3212</td>\n",
       "      <td>9.0411</td>\n",
       "      <td>29.4282</td>\n",
       "      <td>17.1127</td>\n",
       "      <td>61.5485</td>\n",
       "      <td>0.5163</td>\n",
       "      <td>-7.2633</td>\n",
       "      <td>10.9148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美的集团</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>20.3026</td>\n",
       "      <td>7.6930</td>\n",
       "      <td>26.4190</td>\n",
       "      <td>9.5192</td>\n",
       "      <td>62.3287</td>\n",
       "      <td>0.7503</td>\n",
       "      <td>9.4378</td>\n",
       "      <td>14.2862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>海尔智家</td>\n",
       "      <td>600690.SH</td>\n",
       "      <td>2024</td>\n",
       "      <td>17.4433</td>\n",
       "      <td>8.6705</td>\n",
       "      <td>27.7970</td>\n",
       "      <td>6.8451</td>\n",
       "      <td>59.1922</td>\n",
       "      <td>1.0524</td>\n",
       "      <td>4.2949</td>\n",
       "      <td>12.9213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>老板电器</td>\n",
       "      <td>002508.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>14.5373</td>\n",
       "      <td>9.4735</td>\n",
       "      <td>49.6566</td>\n",
       "      <td>13.8727</td>\n",
       "      <td>33.8971</td>\n",
       "      <td>0.6630</td>\n",
       "      <td>0.0960</td>\n",
       "      <td>-8.9675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>小熊电器</td>\n",
       "      <td>002959.SZ</td>\n",
       "      <td>2024</td>\n",
       "      <td>10.3539</td>\n",
       "      <td>6.4463</td>\n",
       "      <td>35.2938</td>\n",
       "      <td>6.4332</td>\n",
       "      <td>52.6976</td>\n",
       "      <td>0.8247</td>\n",
       "      <td>0.9844</td>\n",
       "      <td>-35.3683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     name    ts_code  year      roe      roa  grossprofit_margin  \\\n",
       "132   苏泊尔  002032.SZ  2024  35.1525  20.2754             24.6532   \n",
       "32   格力电器  000651.SZ  2024  25.3212   9.0411             29.4282   \n",
       "0    美的集团  000333.SZ  2024  20.3026   7.6930             26.4190   \n",
       "65   海尔智家  600690.SH  2024  17.4433   8.6705             27.7970   \n",
       "166  老板电器  002508.SZ  2024  14.5373   9.4735             49.6566   \n",
       "99   小熊电器  002959.SZ  2024  10.3539   6.4463             35.2938   \n",
       "\n",
       "     netprofit_margin  debt_to_assets  assets_turn  or_yoy  netprofit_yoy  \n",
       "132           10.0112         51.2920       1.7008  5.2732         2.9657  \n",
       "32            17.1127         61.5485       0.5163 -7.2633        10.9148  \n",
       "0              9.5192         62.3287       0.7503  9.4378        14.2862  \n",
       "65             6.8451         59.1922       1.0524  4.2949        12.9213  \n",
       "166           13.8727         33.8971       0.6630  0.0960        -8.9675  \n",
       "99             6.4332         52.6976       0.8247  0.9844       -35.3683  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 取目标公司最新年度对应的所有公司数据\n",
    "compare_data = financial_table[financial_table['year'] == target_year].copy()\n",
    "compare_data = compare_data[compare_data['ts_code'].isin(company_codes)]\n",
    "\n",
    "compare_table = compare_data[[\n",
    "    'name', 'ts_code', 'year',\n",
    "    'roe', 'roa', 'grossprofit_margin', 'netprofit_margin',\n",
    "    'debt_to_assets', 'assets_turn', 'or_yoy', 'netprofit_yoy'\n",
    "]].copy()\n",
    "\n",
    "compare_table = compare_table.sort_values('roe', ascending=False)\n",
    "compare_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "20489aa7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图4：同业 ROE 对比\n",
    "roe_data = compare_data.sort_values('roe', ascending=False)\n",
    "colors = ['tomato' if code == target_code else 'skyblue' for code in roe_data['ts_code']]\n",
    "\n",
    "plt.figure(figsize=(9, 4))\n",
    "plt.bar(roe_data['name'], roe_data['roe'], color=colors)\n",
    "plt.title(str(target_year) + '年同业公司 ROE 对比')\n",
    "plt.xlabel('公司')\n",
    "plt.ylabel('ROE（%）')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "73c7a936",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图5：毛利率和净利率对比\n",
    "margin_data = compare_data.sort_values('grossprofit_margin', ascending=False).reset_index(drop=True)\n",
    "x = range(len(margin_data))\n",
    "width = 0.35\n",
    "\n",
    "plt.figure(figsize=(9, 4))\n",
    "plt.bar([i - width / 2 for i in x], margin_data['grossprofit_margin'], width=width, label='毛利率')\n",
    "plt.bar([i + width / 2 for i in x], margin_data['netprofit_margin'], width=width, label='净利率')\n",
    "plt.title(str(target_year) + '年同业公司毛利率和净利率对比')\n",
    "plt.xlabel('公司')\n",
    "plt.ylabel('百分比')\n",
    "plt.xticks(list(x), margin_data['name'], rotation=0)\n",
    "plt.legend()\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0ae9b843",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图6：资产负债率对比\n",
    "debt_data = compare_data.sort_values('debt_to_assets')\n",
    "colors = ['tomato' if code == target_code else 'lightgreen' for code in debt_data['ts_code']]\n",
    "\n",
    "plt.figure(figsize=(9, 4))\n",
    "plt.bar(debt_data['name'], debt_data['debt_to_assets'], color=colors)\n",
    "plt.title(str(target_year) + '年同业公司资产负债率对比')\n",
    "plt.xlabel('公司')\n",
    "plt.ylabel('资产负债率（%）')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d94b0aa",
   "metadata": {},
   "source": [
    "## 九、综合评价与结论\n",
    "\n",
    "下面用简单排名看美的集团在同业公司中的位置。\n",
    "\n",
    "说明：ROE、ROA、毛利率、净利率一般是越高越好；资产负债率一般不是越高越好，所以这里按从低到高排名。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ad82c9c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>指标</th>\n",
       "      <th>美的集团数值</th>\n",
       "      <th>同业排名</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROE</td>\n",
       "      <td>20.3026</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROA</td>\n",
       "      <td>7.6930</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>毛利率</td>\n",
       "      <td>26.4190</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>净利率</td>\n",
       "      <td>9.5192</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>资产负债率</td>\n",
       "      <td>62.3287</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      指标   美的集团数值  同业排名\n",
       "0    ROE  20.3026     3\n",
       "1    ROA   7.6930     5\n",
       "2    毛利率  26.4190     5\n",
       "3    净利率   9.5192     4\n",
       "4  资产负债率  62.3287     6"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_rank(df, col, higher_is_better=True):\n",
    "    if higher_is_better:\n",
    "        temp = df.sort_values(col, ascending=False).reset_index(drop=True)\n",
    "    else:\n",
    "        temp = df.sort_values(col, ascending=True).reset_index(drop=True)\n",
    "\n",
    "    rank = temp[temp['ts_code'] == target_code].index[0] + 1\n",
    "    value = temp[temp['ts_code'] == target_code][col].iloc[0]\n",
    "    return value, rank\n",
    "\n",
    "rank_list = []\n",
    "\n",
    "value, rank = get_rank(compare_data, 'roe', True)\n",
    "rank_list.append(['ROE', value, rank])\n",
    "\n",
    "value, rank = get_rank(compare_data, 'roa', True)\n",
    "rank_list.append(['ROA', value, rank])\n",
    "\n",
    "value, rank = get_rank(compare_data, 'grossprofit_margin', True)\n",
    "rank_list.append(['毛利率', value, rank])\n",
    "\n",
    "value, rank = get_rank(compare_data, 'netprofit_margin', True)\n",
    "rank_list.append(['净利率', value, rank])\n",
    "\n",
    "value, rank = get_rank(compare_data, 'debt_to_assets', False)\n",
    "rank_list.append(['资产负债率', value, rank])\n",
    "\n",
    "rank_table = pd.DataFrame(rank_list, columns=['指标', '美的集团数值', '同业排名'])\n",
    "rank_table"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "917f1a05",
   "metadata": {},
   "source": [
    "## 综合结论说明\n",
    "\n",
    "根据最新年度的同业比较结果，可以得到下面的结论：\n",
    "\n",
    "1. **盈利能力**：美的集团的 ROE 在 6 家公司中排名第 3，属于中等偏上的位置，说明公司赚钱能力比较稳定。\n",
    "2. **资产使用效果**：ROA 排名不是特别靠前，说明和部分同行相比，美的集团的资产规模较大，资产使用效率还有提升空间。\n",
    "3. **利润率水平**：毛利率和净利率排名不算靠前，说明美的集团虽然规模大，但利润率不是同行中最高的。\n",
    "4. **偿债能力**：资产负债率在同业中偏高，说明公司负债水平需要继续关注。\n",
    "\n",
    "综合来看，美的集团是一家规模大、经营比较稳定的家电企业，盈利能力较强，但在利润率和负债水平方面还需要继续观察。因此，本项目认为美的集团整体财务质量比较稳定，处于同业中的中等偏上水平。"
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