Day03file.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 파일처리"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 파일읽어오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world!\n",
      "now I'm studying Python.\n",
      "very fun!!\n"
     ]
    }
   ],
   "source": [
    "f=open('test.txt', 'r')\n",
    "text = f.read()\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hell\n"
     ]
    }
   ],
   "source": [
    "f=open('test.txt', 'r')\n",
    "text = f.read(4)#바이트를 제한하여 읽어오기\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world!\n",
      "\n",
      "now I'm studying Python.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "f=open('test.txt', 'r')\n",
    "text = f.readline()\n",
    "print(text)\n",
    "text = f.readline()\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['hello world!\\n', \"now I'm studying Python.\\n\", 'very fun!!']\n"
     ]
    }
   ],
   "source": [
    "f=open('test.txt', 'r')\n",
    "text = f.readlines()\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world!\n",
      "\n",
      "now I'm studying Python.\n",
      "\n",
      "very fun!!\n"
     ]
    }
   ],
   "source": [
    "f = open('test.txt', 'r')\n",
    "for i in f:\n",
    "    print(i)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('my_file.txt', 'w')\n",
    "f.write(\"hello, python\\n\")\n",
    "f.write('python is fun!')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello, python\n",
      "python is fun!\n"
     ]
    }
   ],
   "source": [
    "f = open('my_file.txt', 'r')\n",
    "text = f.read()\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#김소월의 진달래꽃을 poem.txt에 기록해서 저장\n",
    "#poem.txt파일을 4가지 방법으로 읽어오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('poem.txt', 'w')\n",
    "f.write('나보기가 역겨워 가실때에는\\n\\\n",
    "말없이 고이 보내드리오리다\\n\\\n",
    "나보기가 역겨워 가실때에는\\n\\\n",
    "죽어도 아니 눈물 흘리오리다\\n\\\n",
    "날 떠나 행복한지\\n\\\n",
    "이젠 그대 아닌지\\n\\\n",
    "그댈 바라보며 살아온 내가\\n\\\n",
    "그녀 뒤에 가려는지\\n\\\n",
    "사랑 그 아픔이 너무커\\n\\\n",
    "숨을 쉴수가 없어\\n\\\n",
    "그댈 행복하길 빌어줄께요\\n\\\n",
    "내 영혼으로 빌어줄께요\\n\\\n",
    "나보기가 역겨워 가실때에는\\n\\\n",
    "말없이 고이 보내드리오리다\\n\\\n",
    "연변의 약산 진달래꽃\\n\\\n",
    "아름따라 가실길에 뿌리오리다…')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "나보기가 역겨워 가실때에는\n",
      "말없이 고이 보내드리오리다\n",
      "나보기가 역겨워 가실때에는\n",
      "죽어도 아니 눈물 흘리오리다\n",
      "날 떠나 행복한지\n",
      "이젠 그대 아닌지\n",
      "그댈 바라보며 살아온 내가\n",
      "그녀 뒤에 가려는지\n",
      "사랑 그 아픔이 너무커\n",
      "숨을 쉴수가 없어\n",
      "그댈 행복하길 빌어줄께요\n",
      "내 영혼으로 빌어줄께요\n",
      "나보기가 역겨워 가실때에는\n",
      "말없이 고이 보내드리오리다\n",
      "연변의 약산 진달래꽃\n",
      "아름따라 가실길에 뿌리오리다…\n"
     ]
    }
   ],
   "source": [
    "f=open('poem.txt', 'r')\n",
    "text = f.read()\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "나보기가 역겨워 가실때에는\n",
      "\n",
      "말없이 고이 보내드리오리다\n",
      "\n"
     ]
    }
   ],
   "source": [
    "f=open('poem.txt', 'r')\n",
    "text = f.readline()\n",
    "print(text)\n",
    "text = f.readline()\n",
    "print(text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "말없이 고이 보내드리오리다\n",
      "\n",
      "나보기가 역겨워 가실때에는\n",
      "\n",
      "죽어도 아니 눈물 흘리오리다\n",
      "\n",
      "날 떠나 행복한지\n",
      "\n",
      "이젠 그대 아닌지\n",
      "\n",
      "그댈 바라보며 살아온 내가\n",
      "\n",
      "그녀 뒤에 가려는지\n",
      "\n",
      "사랑 그 아픔이 너무커\n",
      "\n",
      "숨을 쉴수가 없어\n",
      "\n",
      "그댈 행복하길 빌어줄께요\n",
      "\n",
      "내 영혼으로 빌어줄께요\n",
      "\n",
      "나보기가 역겨워 가실때에는\n",
      "\n",
      "말없이 고이 보내드리오리다\n",
      "\n",
      "연변의 약산 진달래꽃\n",
      "\n",
      "아름따라 가실길에 뿌리오리다…\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#readline()+반복문\n",
    "f=open('poem.txt', 'r')\n",
    "line = f.readline()\n",
    "while line:\n",
    "    line = f.readline()\n",
    "    print(line)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['나보기가 역겨워 가실때에는\\n', '말없이 고이 보내드리오리다\\n', '나보기가 역겨워 가실때에는\\n', '죽어도 아니 눈물 흘리오리다\\n', '날 떠나 행복한지\\n', '이젠 그대 아닌지\\n', '그댈 바라보며 살아온 내가\\n', '그녀 뒤에 가려는지\\n', '사랑 그 아픔이 너무커\\n', '숨을 쉴수가 없어\\n', '그댈 행복하길 빌어줄께요\\n', '내 영혼으로 빌어줄께요\\n', '나보기가 역겨워 가실때에는\\n', '말없이 고이 보내드리오리다\\n', '연변의 약산 진달래꽃\\n', '아름따라 가실길에 뿌리오리다…']\n"
     ]
    }
   ],
   "source": [
    "f=open('poem.txt', 'r')\n",
    "texts = f.readlines()\n",
    "print(texts)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "나보기가 역겨워 가실때에는\n",
      "\n",
      "말없이 고이 보내드리오리다\n",
      "\n",
      "나보기가 역겨워 가실때에는\n",
      "\n",
      "죽어도 아니 눈물 흘리오리다\n",
      "\n",
      "날 떠나 행복한지\n",
      "\n",
      "이젠 그대 아닌지\n",
      "\n",
      "그댈 바라보며 살아온 내가\n",
      "\n",
      "그녀 뒤에 가려는지\n",
      "\n",
      "사랑 그 아픔이 너무커\n",
      "\n",
      "숨을 쉴수가 없어\n",
      "\n",
      "그댈 행복하길 빌어줄께요\n",
      "\n",
      "내 영혼으로 빌어줄께요\n",
      "\n",
      "나보기가 역겨워 가실때에는\n",
      "\n",
      "말없이 고이 보내드리오리다\n",
      "\n",
      "연변의 약산 진달래꽃\n",
      "\n",
      "아름따라 가실길에 뿌리오리다…\n"
     ]
    }
   ],
   "source": [
    "f=open('poem.txt', 'r')\n",
    "for i in f:\n",
    "    print(i)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2 45\\n', '4 39\\n', '1 41\\n', '3 40']\n",
      "{'2': '45', '4': '39', '1': '41', '3': '40'}\n"
     ]
    }
   ],
   "source": [
    "L=[]\n",
    "D={}\n",
    "with open('ban.txt') as f:\n",
    "    for line in f:\n",
    "        L.append(line)\n",
    "        D[line[0]]=line[2:4]\n",
    "# main\n",
    "print(L)\n",
    "print(D)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'2': ['Alice', 'Paul', 'David', 'Bob'], '4': ['Cindy', 'Stella', 'Bill'], '1': ['Henry', 'Jenny', 'Jessica', 'Eric', 'Tim'], '3': ['John', 'Joe', 'Tom']}\n"
     ]
    }
   ],
   "source": [
    "D = {}\n",
    "with open('ban_student.txt') as f:\n",
    "    for line in f:\n",
    "        val=line[2:].split('\\n')[0]\n",
    "        D[line[0]]=val.split(' ')\n",
    "# main\n",
    "print(D)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 000020 동화약품\n",
      "\n",
      "1 000040 S&T모터스\n",
      "\n",
      "2 000050 경방\n",
      "\n",
      "3 000060 메리츠화재\n",
      "\n",
      "4 000070 삼양사\n",
      "\n",
      "5 000071 삼양사우\n",
      "\n",
      "6 000100 유한양행\n",
      "\n",
      "7 000101 유한양행우\n",
      "\n",
      "8 000120 대한통운\n",
      "\n",
      "9 000140 하이트홀딩스\n",
      "\n",
      "10 000141 하이트홀딩스우\n",
      "\n",
      "11 000150 두산\n",
      "\n",
      "12 000151 두산우\n",
      "\n",
      "13 000152 두산2우B\n",
      "\n",
      "14 000180 성창기업지주\n",
      "\n",
      "15 000210 대림산업\n",
      "\n",
      "16 000211 대림산업우\n",
      "\n",
      "17 000220 유유제약\n",
      "\n",
      "18 000221 유유제약1우\n",
      "\n",
      "19 000222 유유제약2우B\n",
      "\n",
      "20 000230 일동제약\n",
      "\n",
      "21 000240 한국타이어\n",
      "\n",
      "22 000270 기아차\n",
      "\n",
      "23 000300 대유신소재\n",
      "\n",
      "24 000320 디피아이홀딩스\n",
      "\n",
      "25 000321 디피아이홀딩스우\n",
      "\n",
      "26 000322 디피아이홀딩스2B\n",
      "\n",
      "27 000360 삼환기업\n",
      "\n",
      "28 000361 삼환기업우\n",
      "\n",
      "29 000370 한화손해보험\n",
      "\n",
      "30 000390 삼화페인트\n",
      "\n",
      "31 000400 롯데손해보험\n",
      "\n",
      "32 000420 로케트전기\n",
      "\n",
      "33 000421 로케트전우\n",
      "\n",
      "34 000430 대원강업\n",
      "\n",
      "35 000470 그린손해보험\n",
      "\n",
      "36 000480 조선내화\n",
      "\n",
      "37 000490 대동공업\n",
      "\n",
      "38 000500 가온전선\n",
      "\n",
      "39 000520 삼일제약\n",
      "\n",
      "40 000540 흥국쌍용화재\n",
      "\n",
      "41 000541 흥국쌍용화재우\n",
      "\n",
      "42 000542 흥국쌍용화재2우B\n",
      "\n",
      "43 000590 조선선재\n",
      "\n",
      "44 000610 제일화재\n",
      "\n",
      "45 000640 동아제약\n",
      "\n",
      "46 000650 천일고속\n",
      "\n",
      "47 000660 하이닉스\n",
      "\n",
      "48 000670 영풍\n",
      "\n",
      "49 000680 LS네트웍스\n",
      "\n",
      "50 000681 LS네트웍스우\n",
      "\n",
      "51 000700 한진해운\n",
      "\n",
      "52 000720 현대건설\n",
      "\n",
      "53 000721 현대건설우\n",
      "\n",
      "54 000760 이화산업\n",
      "\n",
      "55 000790 C&상선\n",
      "\n",
      "56 000800 경남기업\n",
      "\n",
      "57 000810 삼성화재\n",
      "\n",
      "58 000811 삼성화재우\n",
      "\n",
      "59 000830 삼성물산\n",
      "\n",
      "60 000831 삼성물산우\n",
      "\n",
      "61 000850 화천기공\n",
      "\n",
      "62 000860 건설화학\n",
      "\n",
      "63 000880 한화\n",
      "\n",
      "64 000881 한화우\n",
      "\n",
      "65 000890 보해양조\n",
      "\n",
      "66 000891 보해양조우\n",
      "\n",
      "67 000910 유니온\n",
      "\n",
      "68 000950 전방\n",
      "\n",
      "69 000970 한국주철관\n",
      "\n",
      "70 000990 동부하이텍\n",
      "\n",
      "71 000991 동부하이텍1우\n",
      "\n",
      "72 000992 동부하이텍2우B\n",
      "\n",
      "73 001020 페이퍼코리아\n",
      "\n",
      "74 001040 CJ\n",
      "\n",
      "75 001041 CJ우\n",
      "\n",
      "76 001042 CJ2우B\n",
      "\n",
      "77 001043 CJ3우B\n",
      "\n",
      "78 001060 중외제약\n",
      "\n",
      "79 001061 중외제약우\n",
      "\n",
      "80 001062 중외제약2우B\n",
      "\n",
      "81 001070 대한방직\n",
      "\n",
      "82 001080 만호제강\n",
      "\n",
      "83 001120 LG상사\n",
      "\n",
      "84 001130 대한제분\n",
      "\n",
      "85 001140 국보\n",
      "\n",
      "86 001190 마이크로닉스\n",
      "\n",
      "87 001200 유진투자증권\n",
      "\n",
      "88 001210 금호전기\n",
      "\n",
      "89 001230 동국제강\n",
      "\n",
      "90 001250 쌍용\n",
      "\n",
      "91 001260 남광토건\n",
      "\n",
      "92 001270 부국증권\n",
      "\n",
      "93 001271 부국증권우\n",
      "\n",
      "94 001290 골든브릿지증권\n",
      "\n",
      "95 001300 제일모직\n",
      "\n",
      "96 001310 풍림산업\n",
      "\n",
      "97 001340 백광산업\n",
      "\n",
      "98 001360 삼성제약\n",
      "\n",
      "99 001370 FnC코오롱\n",
      "\n",
      "100 001371 FnC코오롱우\n",
      "\n",
      "101 001380 SG글로벌\n",
      "\n",
      "102 001381 SG글로벌우\n",
      "\n",
      "103 001390 KG케미칼\n",
      "\n",
      "104 001420 태원물산\n",
      "\n",
      "105 001430 세아베스틸\n",
      "\n",
      "106 001440 대한전선\n",
      "\n",
      "107 001450 현대해상\n",
      "\n",
      "108 001460 BYC\n",
      "\n",
      "109 001461 BYC우\n",
      "\n",
      "110 001470 삼부토건\n",
      "\n",
      "111 001500 HMC투자증권\n",
      "\n",
      "112 001510 SK증권\n",
      "\n",
      "113 001511 SK증권우\n",
      "\n",
      "114 001520 동양메이저\n",
      "\n",
      "115 001521 동양메이저우\n",
      "\n",
      "116 001522 동양메이저2우B\n",
      "\n",
      "117 001523 동양메이저3우B\n",
      "\n",
      "118 001530 동일방직\n",
      "\n",
      "119 001550 조비\n",
      "\n",
      "120 001560 제일연마\n",
      "\n",
      "121 001570 금양\n",
      "\n",
      "122 001600 서광건설\n",
      "\n",
      "123 001620 동국실업\n",
      "\n",
      "124 001630 종근당\n",
      "\n",
      "125 001680 대상\n",
      "\n",
      "126 001681 대상우\n",
      "\n",
      "127 001682 대상2우B\n",
      "\n",
      "128 001683 대상3우B\n",
      "\n",
      "129 001720 신영증권\n",
      "\n",
      "130 001721 신영증권우\n",
      "\n",
      "131 001740 SK네트웍스\n",
      "\n",
      "132 001741 SK네트웍스우\n",
      "\n",
      "133 001750 한양증권\n",
      "\n",
      "134 001751 한양증권우\n",
      "\n",
      "135 001770 신화실업\n",
      "\n",
      "136 001780 동양강철\n",
      "\n",
      "137 001790 대한제당\n",
      "\n",
      "138 001791 대한제당우\n",
      "\n",
      "139 001800 오리온\n",
      "\n",
      "140 001820 삼화콘덴서\n",
      "\n",
      "141 001880 삼호\n",
      "\n",
      "142 001940 KISCO홀딩스\n",
      "\n",
      "143 001950 남한제지\n",
      "\n",
      "144 001951 남한제지우\n",
      "\n",
      "145 001970 신성건설\n",
      "\n",
      "146 001971 신성건설우\n",
      "\n",
      "147 002000 한국유리\n",
      "\n",
      "148 002001 한국유리우\n",
      "\n",
      "149 002020 코오롱\n",
      "\n",
      "150 002021 코오롱우\n",
      "\n",
      "151 002022 코오롱2우B\n",
      "\n",
      "152 002030 아세아시멘트\n",
      "\n",
      "153 002070 남영L&F\n",
      "\n",
      "154 002100 경농\n",
      "\n",
      "155 002140 고려산업\n",
      "\n",
      "156 002170 삼양통상\n",
      "\n",
      "157 002200 수출포장\n",
      "\n",
      "158 002210 동성제약\n",
      "\n",
      "159 002220 한일철강\n",
      "\n",
      "160 002240 고려제강\n",
      "\n",
      "161 002250 근화제약\n",
      "\n",
      "162 002270 롯데삼강\n",
      "\n",
      "163 002300 한국제지\n",
      "\n",
      "164 002310 아세아제지\n",
      "\n",
      "165 002320 한진\n",
      "\n",
      "166 002350 넥센타이어\n",
      "\n",
      "167 002351 넥센타이어1우B\n",
      "\n",
      "168 002360 SH에너지화학\n",
      "\n",
      "169 002361 SH에너지화학우\n",
      "\n",
      "170 002380 KCC\n",
      "\n",
      "171 002390 한독약품\n",
      "\n",
      "172 002410 범양건영\n",
      "\n",
      "173 002420 세기상사\n",
      "\n",
      "174 002450 삼익악기\n",
      "\n",
      "175 002460 화성산업\n",
      "\n",
      "176 002530 벽산건설\n",
      "\n",
      "177 002531 벽산건설우\n",
      "\n",
      "178 002540 고제\n",
      "\n",
      "179 002550 LIG손해보험\n",
      "\n",
      "180 002600 조흥\n",
      "\n",
      "181 002620 제일약품\n",
      "\n",
      "182 002630 오리엔트바이오\n",
      "\n",
      "183 002700 신일산업\n",
      "\n",
      "184 002710 동양석판\n",
      "\n",
      "185 002720 국제약품\n",
      "\n",
      "186 002760 보락\n",
      "\n",
      "187 002780 진흥기업\n",
      "\n",
      "188 002781 진흥기업우B\n",
      "\n",
      "189 002782 진흥기업2우B\n",
      "\n",
      "190 002790 태평양\n",
      "\n",
      "191 002791 태평양우\n",
      "\n",
      "192 002792 태평양2우B\n",
      "\n",
      "193 002810 삼영무역\n",
      "\n",
      "194 002820 선창산업\n",
      "\n",
      "195 002840 미원상사\n",
      "\n",
      "196 002870 신풍제지\n",
      "\n",
      "197 002880 대유디엠씨\n",
      "\n",
      "198 002900 동양물산\n",
      "\n",
      "199 002920 유성기업\n",
      "\n",
      "200 002960 한국쉘석유\n",
      "\n",
      "201 002990 금호산업\n",
      "\n",
      "202 002991 금호산업우\n",
      "\n",
      "203 003000 부광약품\n",
      "\n",
      "204 003010 혜인\n",
      "\n",
      "205 003030 세아제강\n",
      "\n",
      "206 003060 한국슈넬제약\n",
      "\n",
      "207 003070 코오롱건설\n",
      "\n",
      "208 003071 코오롱건우\n",
      "\n",
      "209 003080 성보화학\n",
      "\n",
      "210 003090 대웅\n",
      "\n",
      "211 003120 일성신약\n",
      "\n",
      "212 003160 디아이\n",
      "\n",
      "213 003190 알앤엘바이오\n",
      "\n",
      "214 003200 일신방직\n",
      "\n",
      "215 003220 대원제약\n",
      "\n",
      "216 003230 삼양식품\n",
      "\n",
      "217 003240 태광산업\n",
      "\n",
      "218 003280 흥아해운\n",
      "\n",
      "219 003300 한일시멘트\n",
      "\n",
      "220 003350 한국화장품\n",
      "\n",
      "221 003410 쌍용양회\n",
      "\n",
      "222 003411 쌍용양회우\n",
      "\n",
      "223 003412 쌍용양회2우B\n",
      "\n",
      "224 003413 쌍용양회3우B\n",
      "\n",
      "225 003414 쌍용양회4우B\n",
      "\n",
      "226 003415 쌍용양회5우B\n",
      "\n",
      "227 003450 현대증권\n",
      "\n",
      "228 003460 유화증권\n",
      "\n",
      "229 003461 유화증권우\n",
      "\n",
      "230 003470 동양종금증권\n",
      "\n",
      "231 003471 동양종금증권1우\n",
      "\n",
      "232 003480 한진중공업홀딩스\n",
      "\n",
      "233 003490 대한항공\n",
      "\n",
      "234 003491 대한항공우\n",
      "\n",
      "235 003520 영진약품\n",
      "\n",
      "236 003530 한화증권\n",
      "\n",
      "237 003531 한화증권우\n",
      "\n",
      "238 003540 대신증권\n",
      "\n",
      "239 003541 대신증권우\n",
      "\n",
      "240 003542 대신증권2우B\n",
      "\n",
      "241 003550 LG\n",
      "\n",
      "242 003551 LG우\n",
      "\n",
      "243 003560 IHQ\n",
      "\n",
      "244 003570 S&T중공업\n",
      "\n",
      "245 003580 동원\n",
      "\n",
      "246 003600 SK\n",
      "\n",
      "247 003601 SK우\n",
      "\n",
      "248 003610 방림\n",
      "\n",
      "249 003620 쌍용차\n",
      "\n",
      "250 003640 유니온스틸\n",
      "\n",
      "251 003650 미창석유\n",
      "\n",
      "252 003680 한성기업\n",
      "\n",
      "253 003690 코리안리\n",
      "\n",
      "254 003720 삼영화학\n",
      "\n",
      "255 003780 진양산업\n",
      "\n",
      "256 003830 대한화섬\n",
      "\n",
      "257 003850 보령제약\n",
      "\n",
      "258 003920 남양유업\n",
      "\n",
      "259 003921 남양유업우\n",
      "\n",
      "260 003940 삼양제넥스\n",
      "\n",
      "261 003941 삼양제넥우\n",
      "\n",
      "262 003960 사조대림\n",
      "\n",
      "263 003961 사조대림우\n",
      "\n",
      "264 003990 BHK\n",
      "\n",
      "265 004000 삼성정밀화학\n",
      "\n",
      "266 004010 롯데미도파\n",
      "\n",
      "267 004020 현대제철\n",
      "\n",
      "268 004021 현대제철\n",
      "\n",
      "269 004060 에스지위카스\n",
      "\n",
      "270 004080 신흥\n",
      "\n",
      "271 004090 한국석유\n",
      "\n",
      "272 004100 태양금속\n",
      "\n",
      "273 004101 태양금속우\n",
      "\n",
      "274 004130 대덕GDS\n",
      "\n",
      "275 004131 대덕GDS우\n",
      "\n",
      "276 004132 대덕GDS2우B\n",
      "\n",
      "277 004140 동방\n",
      "\n",
      "278 004142 동방전환상환2우B\n",
      "\n",
      "279 004143 동방전환상환3우B\n",
      "\n",
      "280 004150 한솔제지\n",
      "\n",
      "281 004170 신세계\n",
      "\n",
      "282 004200 고려개발\n",
      "\n",
      "283 004230 세신\n",
      "\n",
      "284 004250 내쇼날푸라스\n",
      "\n",
      "285 004251 내쇼날푸우\n",
      "\n",
      "286 004270 남성\n",
      "\n",
      "287 004310 현대약품\n",
      "\n",
      "288 004360 세방\n",
      "\n",
      "289 004361 세방우\n",
      "\n",
      "290 004362 세방2우B\n",
      "\n",
      "291 004370 농심\n",
      "\n",
      "292 004380 삼익THK\n",
      "\n",
      "293 004410 서울식품\n",
      "\n",
      "294 004411 서울식품우\n",
      "\n",
      "295 004430 송원산업\n",
      "\n",
      "296 004450 삼화왕관\n",
      "\n",
      "297 004490 세방전지\n",
      "\n",
      "298 004540 대한펄프\n",
      "\n",
      "299 004541 대한펄프우\n",
      "\n",
      "300 004550 대우차판매\n",
      "\n",
      "301 004551 대우차판매1우\n",
      "\n",
      "302 004560 BNG스틸\n",
      "\n",
      "303 004561 BNG스틸우\n",
      "\n",
      "304 004620 캠브리지\n",
      "\n",
      "305 004690 삼천리\n",
      "\n",
      "306 004700 조광피혁\n",
      "\n",
      "307 004710 한솔LCD\n",
      "\n",
      "308 004720 우리들생명과학\n",
      "\n",
      "309 004740 보루네오\n",
      "\n",
      "310 004770 써니전자\n",
      "\n",
      "311 004800 효성\n",
      "\n",
      "312 004820 조인에너지\n",
      "\n",
      "313 004830 덕성\n",
      "\n",
      "314 004831 덕성우\n",
      "\n",
      "315 004840 동일벨트\n",
      "\n",
      "316 004870 아인스\n",
      "\n",
      "317 004890 동일산업\n",
      "\n",
      "318 004910 조광페인트\n",
      "\n",
      "319 004920 삼영홀딩스\n",
      "\n",
      "320 004940 외환은행\n",
      "\n",
      "321 004960 한신공영\n",
      "\n",
      "322 004961 한신공영우\n",
      "\n",
      "323 004970 신라교역\n",
      "\n",
      "324 004980 성신양회\n",
      "\n",
      "325 004981 성신양회우\n",
      "\n",
      "326 004982 성신양회2우B\n",
      "\n",
      "327 004983 성신양회3우B\n",
      "\n",
      "328 004990 롯데제과\n",
      "\n",
      "329 005010 휴스틸\n",
      "\n",
      "330 005030 부산주공\n",
      "\n",
      "331 005070 새한미디어\n",
      "\n",
      "332 005090 삼광유리\n",
      "\n",
      "333 005110 한창\n",
      "\n",
      "334 005180 빙그레\n",
      "\n",
      "335 005190 동성화학\n",
      "\n",
      "336 005250 녹십자홀딩스\n",
      "\n",
      "337 005251 녹십자홀딩스1우\n",
      "\n",
      "338 005252 녹십자홀딩스2우\n",
      "\n",
      "339 005270 대구은행\n",
      "\n",
      "340 005280 부산은행\n",
      "\n",
      "341 005300 롯데칠성\n",
      "\n",
      "342 005301 롯데칠성우\n",
      "\n",
      "343 005320 국동\n",
      "\n",
      "344 005350 선우ST\n",
      "\n",
      "345 005360 모나미\n",
      "\n",
      "346 005380 현대차\n",
      "\n",
      "347 005381 현대차우\n",
      "\n",
      "348 005382 현대차2우B\n",
      "\n",
      "349 005383 현대차3우B\n",
      "\n",
      "350 005390 신성통상\n",
      "\n",
      "351 005420 코스모화학\n",
      "\n",
      "352 005430 한국공항\n",
      "\n",
      "353 005440 현대H&S\n",
      "\n",
      "354 005450 신한\n",
      "\n",
      "355 005490 POSCO\n",
      "\n",
      "356 005500 삼진제약\n",
      "\n",
      "357 005560 JS전선\n",
      "\n",
      "358 005610 삼립식품\n",
      "\n",
      "359 005620 대성산업\n",
      "\n",
      "360 005680 삼영전자\n",
      "\n",
      "361 005690 로이\n",
      "\n",
      "362 005720 넥센\n",
      "\n",
      "363 005721 넥센우\n",
      "\n",
      "364 005740 크라운제과\n",
      "\n",
      "365 005741 크라운제우\n",
      "\n",
      "366 005750 대림B&Co\n",
      "\n",
      "367 005800 신영와코루\n",
      "\n",
      "368 005810 풍산홀딩스\n",
      "\n",
      "369 005820 원림\n",
      "\n",
      "370 005830 동부화재\n",
      "\n",
      "371 005850 에스엘\n",
      "\n",
      "372 005870 휴니드\n",
      "\n",
      "373 005880 대한해운\n",
      "\n",
      "374 005900 동양건설\n",
      "\n",
      "375 005930 삼성전자\n",
      "\n",
      "376 005931 삼성전자우\n",
      "\n",
      "377 005940 우리투자증권\n",
      "\n",
      "378 005941 우리투자증권우\n",
      "\n",
      "379 005950 이수화학\n",
      "\n",
      "380 005960 동부건설\n",
      "\n",
      "381 005961 동부건설우\n",
      "\n",
      "382 005980 성지건설\n",
      "\n",
      "383 006040 동원산업\n",
      "\n",
      "384 006060 화승인더\n",
      "\n",
      "385 006070 기린\n",
      "\n",
      "386 006090 오양수산\n",
      "\n",
      "387 006110 삼아알미늄\n",
      "\n",
      "388 006120 SK케미칼\n",
      "\n",
      "389 006121 SK케미칼우\n",
      "\n",
      "390 006200 KEC홀딩스\n",
      "\n",
      "391 006210 휴리프\n",
      "\n",
      "392 006220 제주은행\n",
      "\n",
      "393 006260 LS\n",
      "\n",
      "394 006280 녹십자\n",
      "\n",
      "395 006340 대원전선\n",
      "\n",
      "396 006341 대원전선우\n",
      "\n",
      "397 006350 전북은행\n",
      "\n",
      "398 006360 GS건설\n",
      "\n",
      "399 006370 대구백화점\n",
      "\n",
      "400 006371 대구백화우\n",
      "\n",
      "401 006380 카프로\n",
      "\n",
      "402 006390 현대시멘트\n",
      "\n",
      "403 006400 삼성SDI\n",
      "\n",
      "404 006401 삼성SDI우\n",
      "\n",
      "405 006440 한일건설\n",
      "\n",
      "406 006490 로엔케이\n",
      "\n",
      "407 006570 대림통상\n",
      "\n",
      "408 006650 대한유화\n",
      "\n",
      "409 006660 삼성공조\n",
      "\n",
      "410 006740 영풍제지\n",
      "\n",
      "411 006800 대우증권\n",
      "\n",
      "412 006801 대우증권우\n",
      "\n",
      "413 006840 애경유화\n",
      "\n",
      "414 006890 태경화학\n",
      "\n",
      "415 006980 우성사료\n",
      "\n",
      "416 007050 유리이에스\n",
      "\n",
      "417 007110 일신석재\n",
      "\n",
      "418 007120 유니모테크\n",
      "\n",
      "419 007160 사조산업\n",
      "\n",
      "420 007190 이엔페이퍼\n",
      "\n",
      "421 007191 이엔페이퍼우\n",
      "\n",
      "422 007200 진흥저축은행\n",
      "\n",
      "423 007210 벽산\n",
      "\n",
      "424 007280 한국특수형강\n",
      "\n",
      "425 007310 오뚜기\n",
      "\n",
      "426 007340 동아타이어\n",
      "\n",
      "427 007460 케이아이씨\n",
      "\n",
      "428 007480 대한은박지\n",
      "\n",
      "429 007490 태창기업\n",
      "\n",
      "430 007540 샘표식품\n",
      "\n",
      "431 007570 일양약품\n",
      "\n",
      "432 007571 일양약품우\n",
      "\n",
      "433 007590 동방아그로\n",
      "\n",
      "434 007591 동방아그우\n",
      "\n",
      "435 007610 선도전기\n",
      "\n",
      "436 007630 지에스인스트루\n",
      "\n",
      "437 007660 이수페타시스\n",
      "\n",
      "438 007690 국도화학\n",
      "\n",
      "439 007700 F&F\n",
      "\n",
      "440 007800 솔로몬저축은행\n",
      "\n",
      "441 007810 코리아써키트\n",
      "\n",
      "442 007811 코리아써우\n",
      "\n",
      "443 007860 한일이화\n",
      "\n",
      "444 007980 태평양물산\n",
      "\n",
      "445 008000 웅진케미칼\n",
      "\n",
      "446 008020 경남에너지\n",
      "\n",
      "447 008040 동아에스에프\n",
      "\n",
      "448 008060 대덕전자\n",
      "\n",
      "449 008080 삼양옵틱스\n",
      "\n",
      "450 008110 대동전자\n",
      "\n",
      "451 008250 이건산업\n",
      "\n",
      "452 008260 NI스틸\n",
      "\n",
      "453 008320 한국기술산업\n",
      "\n",
      "454 008350 남선알미늄\n",
      "\n",
      "455 008351 남선알미우\n",
      "\n",
      "456 008400 C&중공업\n",
      "\n",
      "457 008401 C&중공업우\n",
      "\n",
      "458 008420 문배철강\n",
      "\n",
      "459 008490 서흥캅셀\n",
      "\n",
      "460 008500 일정실업\n",
      "\n",
      "461 008540 일경\n",
      "\n",
      "462 008560 메리츠증권\n",
      "\n",
      "463 008600 미래와사람\n",
      "\n",
      "464 008700 아남전자\n",
      "\n",
      "465 008701 아남전자우\n",
      "\n",
      "466 008720 삼양중기\n",
      "\n",
      "467 008730 율촌화학\n",
      "\n",
      "468 008770 호텔신라\n",
      "\n",
      "469 008771 호텔신라우\n",
      "\n",
      "470 008870 금비\n",
      "\n",
      "471 008900 티이씨앤코\n",
      "\n",
      "472 008930 한미약품\n",
      "\n",
      "473 008970 동양철관\n",
      "\n",
      "474 008971 동양철관우\n",
      "\n",
      "475 009070 KCTC\n",
      "\n",
      "476 009140 경인전자\n",
      "\n",
      "477 009150 삼성전기\n",
      "\n",
      "478 009151 삼성전기우\n",
      "\n",
      "479 009160 SIMPAC\n",
      "\n",
      "480 009180 한솔CSN\n",
      "\n",
      "481 009190 대양금속\n",
      "\n",
      "482 009200 무림페이퍼\n",
      "\n",
      "483 009240 한샘\n",
      "\n",
      "484 009270 신원\n",
      "\n",
      "485 009271 신원우\n",
      "\n",
      "486 009280 다함이텍\n",
      "\n",
      "487 009290 광동제약\n",
      "\n",
      "488 009310 참앤씨\n",
      "\n",
      "489 009320 대우부품\n",
      "\n",
      "490 009380 아세아페이퍼텍\n",
      "\n",
      "491 009381 아세아페우B\n",
      "\n",
      "492 009410 태영건설\n",
      "\n",
      "493 009411 태영건설우\n",
      "\n",
      "494 009420 한올제약\n",
      "\n",
      "495 009440 KC코트렐\n",
      "\n",
      "496 009450 경동나비엔\n",
      "\n",
      "497 009460 한창제지\n",
      "\n",
      "498 009470 삼화전기\n",
      "\n",
      "499 009540 현대중공업\n",
      "\n",
      "500 009580 동해펄프\n",
      "\n",
      "501 009680 모토닉\n",
      "\n",
      "502 009690 케이엠에이치\n",
      "\n",
      "503 009720 전기초자\n",
      "\n",
      "504 009770 삼정펄프\n",
      "\n",
      "505 009810 고려포리머\n",
      "\n",
      "506 009811 고려포리머우\n",
      "\n",
      "507 009830 한화석화\n",
      "\n",
      "508 009831 한화석화1우\n",
      "\n",
      "509 009970 영원무역\n",
      "\n",
      "510 010040 한국내화\n",
      "\n",
      "511 010050 금호종금\n",
      "\n",
      "512 010060 동양제철화학\n",
      "\n",
      "513 010100 한국프랜지\n",
      "\n",
      "514 010120 LS산전\n",
      "\n",
      "515 010130 고려아연\n",
      "\n",
      "516 010140 삼성중공업\n",
      "\n",
      "517 010141 삼성중공우\n",
      "\n",
      "518 010420 한솔PNS\n",
      "\n",
      "519 010460 한국개발금융\n",
      "\n",
      "520 010520 현대하이스코\n",
      "\n",
      "521 010580 지코\n",
      "\n",
      "522 010600 영창실업\n",
      "\n",
      "523 010620 현대미포조선\n",
      "\n",
      "524 010640 진양폴리\n",
      "\n",
      "525 010660 화천기계\n",
      "\n",
      "526 010690 화신\n",
      "\n",
      "527 010770 평화홀딩스\n",
      "\n",
      "528 010780 아이에스동서\n",
      "\n",
      "529 010820 퍼스텍\n",
      "\n",
      "530 010950 S-Oil\n",
      "\n",
      "531 010951 S-Oil우\n",
      "\n",
      "532 010960 삼호개발\n",
      "\n",
      "533 011000 VGX인터\n",
      "\n",
      "534 011050 케드콤\n",
      "\n",
      "535 011070 LG이노텍\n",
      "\n",
      "536 011090 에넥스\n",
      "\n",
      "537 011150 삼호F&G\n",
      "\n",
      "538 011151 삼호F&G1우\n",
      "\n",
      "539 011160 두산건설\n",
      "\n",
      "540 011170 호남석유\n",
      "\n",
      "541 011200 현대상선\n",
      "\n",
      "542 011230 삼화전자\n",
      "\n",
      "543 011280 태림포장\n",
      "\n",
      "544 011300 성안\n",
      "\n",
      "545 011330 유니켐\n",
      "\n",
      "546 011390 부산산업\n",
      "\n",
      "547 011400 케이씨오에너지\n",
      "\n",
      "548 011420 IB스포츠\n",
      "\n",
      "549 011500 한농화성\n",
      "\n",
      "550 011690 유양디앤유\n",
      "\n",
      "551 011700 한신기계\n",
      "\n",
      "552 011720 현대피앤씨\n",
      "\n",
      "553 011760 현대상사\n",
      "\n",
      "554 011780 금호석유\n",
      "\n",
      "555 011781 금호석유우\n",
      "\n",
      "556 011790 SKC\n",
      "\n",
      "557 011800 배명금속\n",
      "\n",
      "558 011810 STX\n",
      "\n",
      "559 011930 신성홀딩스\n",
      "\n",
      "560 012030 동부정밀\n",
      "\n",
      "561 012090 성원건설\n",
      "\n",
      "562 012091 성원건설우\n",
      "\n",
      "563 012170 한신DNP\n",
      "\n",
      "564 012200 계양전기\n",
      "\n",
      "565 012201 계양전기우\n",
      "\n",
      "566 012280 영화금속\n",
      "\n",
      "567 012320 경동가스\n",
      "\n",
      "568 012330 현대모비스\n",
      "\n",
      "569 012331 현대모비스우\n",
      "\n",
      "570 012400 옵티머스\n",
      "\n",
      "571 012401 옵티머스우\n",
      "\n",
      "572 012410 청호전자통신\n",
      "\n",
      "573 012420 메리츠종금\n",
      "\n",
      "574 012450 삼성테크윈\n",
      "\n",
      "575 012510 더존비즈온\n",
      "\n",
      "576 012580 톰보이\n",
      "\n",
      "577 012600 청호컴넷\n",
      "\n",
      "578 012610 경인양행\n",
      "\n",
      "579 012630 현대산업\n",
      "\n",
      "580 012690 모나리자\n",
      "\n",
      "581 012750 에스원\n",
      "\n",
      "582 012800 대창공업\n",
      "\n",
      "583 012801 대창공업우\n",
      "\n",
      "584 013000 세우글로벌\n",
      "\n",
      "585 013001 세우글로벌우\n",
      "\n",
      "586 013200 C&우방\n",
      "\n",
      "587 013240 셀런\n",
      "\n",
      "588 013360 일성건설\n",
      "\n",
      "589 013361 일성건설우B\n",
      "\n",
      "590 013362 일성건설2우B\n",
      "\n",
      "591 013520 화승알앤에이\n",
      "\n",
      "592 013570 동양기전\n",
      "\n",
      "593 013580 계룡건설\n",
      "\n",
      "594 013700 삼환까뮤\n",
      "\n",
      "595 014130 한익스프레스\n",
      "\n",
      "596 014160 대영포장\n",
      "\n",
      "597 014280 금강공업\n",
      "\n",
      "598 014281 금강공업우\n",
      "\n",
      "599 014300 선진\n",
      "\n",
      "600 014350 신일건업\n",
      "\n",
      "601 014440 영보화학\n",
      "\n",
      "602 014530 극동유화\n",
      "\n",
      "603 014580 백광소재\n",
      "\n",
      "604 014590 티엘씨레저\n",
      "\n",
      "605 014680 한솔케미칼\n",
      "\n",
      "606 014790 한라건설\n",
      "\n",
      "607 014820 동원시스템즈\n",
      "\n",
      "608 014821 동원시스템즈우\n",
      "\n",
      "609 014830 유니드\n",
      "\n",
      "610 014910 성문전자\n",
      "\n",
      "611 014911 성문전자우\n",
      "\n",
      "612 014990 인디에프\n",
      "\n",
      "613 015020 이스타코\n",
      "\n",
      "614 015110 중앙건설\n",
      "\n",
      "615 015230 대창단조\n",
      "\n",
      "616 015260 에이엔피\n",
      "\n",
      "617 015350 부산가스\n",
      "\n",
      "618 015360 예스코\n",
      "\n",
      "619 015540 웰스브릿지\n",
      "\n",
      "620 015541 웰스브릿지우\n",
      "\n",
      "621 015590 대경기계\n",
      "\n",
      "622 015760 한국전력\n",
      "\n",
      "623 015860 일진홀딩스\n",
      "\n",
      "624 015890 태경산업\n",
      "\n",
      "625 015940 LG데이콤\n",
      "\n",
      "626 016090 대현\n",
      "\n",
      "627 016160 오라에너지\n",
      "\n",
      "628 016162 오라에너지2우B\n",
      "\n",
      "629 016360 삼성증권\n",
      "\n",
      "630 016380 동부제철\n",
      "\n",
      "631 016381 동부제철우\n",
      "\n",
      "632 016420 NH투자증권\n",
      "\n",
      "633 016450 한세예스24홀딩스\n",
      "\n",
      "634 016510 현대DSF\n",
      "\n",
      "635 016560 서울저축은행\n",
      "\n",
      "636 016570 태평양제약\n",
      "\n",
      "637 016571 태평양제우\n",
      "\n",
      "638 016580 환인제약\n",
      "\n",
      "639 016590 신대양제지\n",
      "\n",
      "640 016610 동부증권\n",
      "\n",
      "641 016710 대구가스\n",
      "\n",
      "642 016800 퍼시스\n",
      "\n",
      "643 016880 웅진홀딩스\n",
      "\n",
      "644 017040 광명전기\n",
      "\n",
      "645 017170 프라임엔터\n",
      "\n",
      "646 017180 명문제약\n",
      "\n",
      "647 017300 KDS\n",
      "\n",
      "648 017370 우신시스템\n",
      "\n",
      "649 017390 서울가스\n",
      "\n",
      "650 017550 수산중공업\n",
      "\n",
      "651 017551 수산중공우\n",
      "\n",
      "652 017670 SK텔레콤\n",
      "\n",
      "653 017800 현대엘리베이\n",
      "\n",
      "654 017810 풀무원홀딩스\n",
      "\n",
      "655 017900 광전자\n",
      "\n",
      "656 017940 E1\n",
      "\n",
      "657 017960 한국카본\n",
      "\n",
      "658 018410 현대금속\n",
      "\n",
      "659 018411 현대금속우\n",
      "\n",
      "660 018412 현대금속2우B\n",
      "\n",
      "661 018470 조일알미늄\n",
      "\n",
      "662 018500 동원금속\n",
      "\n",
      "663 018670 SK가스\n",
      "\n",
      "664 018880 한라공조\n",
      "\n",
      "665 019170 신풍제약\n",
      "\n",
      "666 019171 신풍제약우\n",
      "\n",
      "667 019180 티에이치엔\n",
      "\n",
      "668 019300 동일제지\n",
      "\n",
      "669 019490 하이트론\n",
      "\n",
      "670 019680 대교\n",
      "\n",
      "671 019681 대교우B\n",
      "\n",
      "672 020000 한섬\n",
      "\n",
      "673 020120 인큐브테크\n",
      "\n",
      "674 020560 아시아나항공\n",
      "\n",
      "675 020760 일진디스플\n",
      "\n",
      "676 021050 서원\n",
      "\n",
      "677 021240 웅진코웨이\n",
      "\n",
      "678 021820 세원정공\n",
      "\n",
      "679 021960 우리파이낸셜\n",
      "\n",
      "680 023150 MH에탄올\n",
      "\n",
      "681 023450 동남합성\n",
      "\n",
      "682 023530 롯데쇼핑\n",
      "\n",
      "683 023590 다우기술\n",
      "\n",
      "684 023800 인지컨트롤스\n",
      "\n",
      "685 023810 인팩\n",
      "\n",
      "686 023960 에쓰씨엔지니어링\n",
      "\n",
      "687 024070 WISCOM\n",
      "\n",
      "688 024090 디씨엠\n",
      "\n",
      "689 024100 제일저축은행\n",
      "\n",
      "690 024110 기업은행\n",
      "\n",
      "691 024720 한국콜마\n",
      "\n",
      "692 024870 유성티에스아이\n",
      "\n",
      "693 024890 대원화성\n",
      "\n",
      "694 024900 덕양산업\n",
      "\n",
      "695 025000 KPX케미칼\n",
      "\n",
      "696 025530 SJM\n",
      "\n",
      "697 025540 한국단자\n",
      "\n",
      "698 025560 미래산업\n",
      "\n",
      "699 025610 한국저축은행\n",
      "\n",
      "700 025620 신우\n",
      "\n",
      "701 025750 한솔홈데코\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "783 067250 STX조선\n",
      "\n",
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      "\n",
      "785 068290 삼성출판사\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "854 085310 엔케이\n",
      "\n",
      "855 086280 글로비스\n",
      "\n",
      "856 086720 코크렙7호\n",
      "\n",
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      "\n",
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      "\n",
      "859 088790 진도에프앤\n",
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      "\n",
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      "\n",
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      "\n",
      "865 090370 아비스타\n",
      "\n",
      "866 090430 아모레퍼시픽\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "894 096770 SK에너지\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "922 104120 신성FA\n",
      "\n",
      "923 104700 한국철강\n",
      "\n",
      "924 105560 KB금융\n",
      "\n",
      "925 107590 미원에스씨\n"
     ]
    }
   ],
   "source": [
    "f = open ('stockcode.txt', 'r')\n",
    "for i,t in enumerate(f):\n",
    "    print(i, t)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "005930 삼성전자\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#삼성전자 코드를 출력하시오\n",
    "f = open ('stockcode.txt', 'r')\n",
    "for t in f:\n",
    "    code = t.split()[0]\n",
    "    company = t.split()[1]\n",
    "    if company == \"삼성전자\":\n",
    "        print(t)\n",
    "        break\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "파일에 입력할 메세지파이썬으로>txt파일을 만들어>저장하기\n",
      "파이썬으로\n",
      "txt파일을 만들어\n",
      "저장하기\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#input함수로 입력을 받아서 파일에 기록하고 파일 전체 내용을 출력하는 함수\n",
    "def writeAndRead():\n",
    "    message = input('파일에 입력할 메세지')\n",
    "    f = open('text.txt', 'w')\n",
    "    msg = message.split('>')\n",
    "    for i in range(len(msg)):\n",
    "        msg[i] += '\\n'\n",
    "    f.writelines(msg)\n",
    "    f.close()\n",
    "    f = open('text.txt')\n",
    "    text = f.read()\n",
    "    print(text)\n",
    "    f.close()\n",
    "# main\n",
    "writeAndRead()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "#stockcode.txt파일을 stockcode_copy.txt파일로 복사해 저장하기\n",
    "f = open('stockcode.txt', 'r')\n",
    "codes = f.readlines()\n",
    "f.close()\n",
    "g = open('stockcode_copy.txt', 'w')\n",
    "g.writelines(codes)\n",
    "g.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for문으로 파일 찍어내기\n",
    "for i in range(11):\n",
    "    title = \"text{}.txt\".format(i)\n",
    "    f=open(title, 'w')\n",
    "    f.write('hi\\n'*i)\n",
    "    f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " C 드라이브의 볼륨에는 이름이 없습니다.\n",
      " 볼륨 일련 번호: 7096-B02E\n",
      "\n",
      " C:\\04Python 디렉터리\n",
      "\n",
      "2020-01-10  오후 04:02    <DIR>          .\n",
      "2020-01-10  오후 04:02    <DIR>          ..\n",
      "2020-01-10  오후 02:02    <DIR>          .ipynb_checkpoints\n",
      "2020-01-10  오후 03:04                22 ban.txt\n",
      "2020-01-10  오후 03:04                93 ban_student.txt\n",
      "2020-01-10  오후 04:01            57,424 Day03file.ipynb\n",
      "2020-01-08  오후 02:38            18,231 Day1BasicDataform.ipynb\n",
      "2020-01-08  오후 02:37            11,981 Day1List.ipynb\n",
      "2020-01-08  오후 05:36            10,867 Day1Summary.ipynb\n",
      "2020-01-09  오전 11:19             7,667 Day1summary2.ipynb\n",
      "2020-01-08  오후 03:57             8,667 Day1tuple_set_dict.ipynb\n",
      "2020-01-10  오전 09:46            19,955 Day2if_for_while.ipynb\n",
      "2020-01-10  오후 02:01            10,106 Day3function.ipynb\n",
      "2020-01-10  오후 03:04             5,120 debug.log\n",
      "2020-01-10  오후 04:00            70,077 googoo.htm\n",
      "2020-01-10  오후 04:02             2,175 googoo.jpg\n",
      "2020-01-09  오후 05:44             2,554 Laboratory.ipynb\n",
      "2020-01-10  오후 02:33                29 my_file.txt\n",
      "2020-01-10  오후 02:37               395 poem.txt\n",
      "2020-01-10  오후 04:01                54 python.txt\n",
      "2020-01-10  오후 03:04            16,339 stockcode.txt\n",
      "2020-01-10  오후 03:49            16,339 stockcode_copy.txt\n",
      "2020-01-10  오후 02:26                50 test.txt\n",
      "2020-01-10  오후 03:48                40 text.txt\n",
      "2020-01-10  오후 02:34                 0 text0.txt\n",
      "2020-01-10  오후 02:34                 4 text1.txt\n",
      "2020-01-10  오후 02:34                40 text10.txt\n",
      "2020-01-10  오후 02:34                 8 text2.txt\n",
      "2020-01-10  오후 02:34                12 text3.txt\n",
      "2020-01-10  오후 02:34                16 text4.txt\n",
      "2020-01-10  오후 02:34                20 text5.txt\n",
      "2020-01-10  오후 02:34                24 text6.txt\n",
      "2020-01-10  오후 02:34                28 text7.txt\n",
      "2020-01-10  오후 02:34                32 text8.txt\n",
      "2020-01-10  오후 02:34                36 text9.txt\n",
      "2020-01-10  오전 10:10             7,948 Untitled.ipynb\n",
      "2020-01-10  오후 02:25                 0 새 텍스트 문서.txt\n",
      "2020-01-08  오전 11:06    <DIR>          새 폴더\n",
      "              34개 파일             266,353 바이트\n",
      "               4개 디렉터리  49,923,895,296 바이트 남음\n"
     ]
    }
   ],
   "source": [
    "!dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "#googoo.jpg를 비둘기.jpg파일로 복사저장\n",
    "#이미지 영상, 소리 코드는 binary file => 'rb', 'wb', 사용 \n",
    "f = open('googoo.jpg', 'rb')\n",
    "g = open('비둘기1.jpg', 'wb')\n",
    "#g.write(f.read())\n",
    "#데이터절약을 위해\n",
    "img = f.read(1024)\n",
    "while img:\n",
    "    g.write(img)\n",
    "    img=f.read(1024)\n",
    "f.close()\n",
    "g.close()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='googoo.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='googoo.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.image as img\n",
    "import matplotlib.pyplot as pit\n",
    "ndarray = img.imread('googoo.jpg')\n",
    "pit.imshow(ndarray)\n",
    "pit.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}