ipynb 3 - 실시간 국내증시 인기검색 종목 시각화.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import sys\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 운영체제별로 기본 폰트가 다릅니다.\n",
    "if \"darwin\" in sys.platform:\n",
    "    plt.rcParams['font.family'] = 'AppleGothic'  # 맥 기본 폰트\n",
    "elif \"win\" in sys.platform:\n",
    "    plt.rcParams['font.family'] = 'Malgun Gothic'  # 윈도우 기본 폰트\n",
    "else:\n",
    "    print(f\"{sys.platform}은 폰트 직접 지정이 필요합니다.\")  # 윈도우/맥 외에 리눅스 등의 플랫폼\n",
    "    sys.exit(1)\n",
    "\n",
    "from tqdm import tqdm_notebook   # pip install tqdm\n",
    "from libs import stock_daum, stock_naver"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 실시간 국내증시 인기검색 종목 크롤링"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10, 4)\n"
     ]
    },
    {
     "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>종목코드</th>\n",
       "      <th>direction</th>\n",
       "      <th>거래가</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종목명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>삼성전자</th>\n",
       "      <td>005930</td>\n",
       "      <td>up</td>\n",
       "      <td>61000</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SK하이닉스</th>\n",
       "      <td>000660</td>\n",
       "      <td>up</td>\n",
       "      <td>184900</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>펩트론</th>\n",
       "      <td>087010</td>\n",
       "      <td>up</td>\n",
       "      <td>50200</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유한양행</th>\n",
       "      <td>000100</td>\n",
       "      <td>up</td>\n",
       "      <td>148100</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>흥구석유</th>\n",
       "      <td>024060</td>\n",
       "      <td>dn</td>\n",
       "      <td>21050</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLB</th>\n",
       "      <td>028300</td>\n",
       "      <td>dn</td>\n",
       "      <td>85000</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에코프로비엠</th>\n",
       "      <td>247540</td>\n",
       "      <td>up</td>\n",
       "      <td>192700</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NAVER</th>\n",
       "      <td>035420</td>\n",
       "      <td>dn</td>\n",
       "      <td>166100</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>두산에너빌리티</th>\n",
       "      <td>034020</td>\n",
       "      <td>up</td>\n",
       "      <td>18270</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POSCO홀딩스</th>\n",
       "      <td>005490</td>\n",
       "      <td>up</td>\n",
       "      <td>379000</td>\n",
       "      <td>https://finance.naver.com/item/main.naver?code...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            종목코드 direction     거래가  \\\n",
       "종목명                                  \n",
       "삼성전자      005930        up   61000   \n",
       "SK하이닉스    000660        up  184900   \n",
       "펩트론       087010        up   50200   \n",
       "유한양행      000100        up  148100   \n",
       "흥구석유      024060        dn   21050   \n",
       "HLB       028300        dn   85000   \n",
       "에코프로비엠    247540        up  192700   \n",
       "NAVER     035420        dn  166100   \n",
       "두산에너빌리티   034020        up   18270   \n",
       "POSCO홀딩스  005490        up  379000   \n",
       "\n",
       "                                                        url  \n",
       "종목명                                                          \n",
       "삼성전자      https://finance.naver.com/item/main.naver?code...  \n",
       "SK하이닉스    https://finance.naver.com/item/main.naver?code...  \n",
       "펩트론       https://finance.naver.com/item/main.naver?code...  \n",
       "유한양행      https://finance.naver.com/item/main.naver?code...  \n",
       "흥구석유      https://finance.naver.com/item/main.naver?code...  \n",
       "HLB       https://finance.naver.com/item/main.naver?code...  \n",
       "에코프로비엠    https://finance.naver.com/item/main.naver?code...  \n",
       "NAVER     https://finance.naver.com/item/main.naver?code...  \n",
       "두산에너빌리티   https://finance.naver.com/item/main.naver?code...  \n",
       "POSCO홀딩스  https://finance.naver.com/item/main.naver?code...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = stock_naver.get_실시간_국내증시_인기검색종목()\n",
    "print(df.shape)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 시각화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='종목명'>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['거래가'].plot(kind='bar', figsize=(10, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df['거래가'].plot(kind='bar', figsize=(14, 6), rot=0)\n",
    "\n",
    "for p in ax.patches:\n",
    "    box = p.get_bbox()  # matplotlib.transforms.Bbox 타입 (x0, y0, x1, y1 속성)\n",
    "    \n",
    "    x = box.xmin\n",
    "    y = box.ymax\n",
    "    text = \"{:,}\".format(int(box.ymax))\n",
    "    \n",
    "    # https://matplotlib.org/users/annotations.html\n",
    "    ax.text(x, y, text, bbox={'boxstyle': 'round', 'fc': '#ffffff99'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}