kaggle_pokemon이미지_분류기.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/eunsun53/ML_proj/blob/main/kaggle_pokemon%EC%9D%B4%EB%AF%B8%EC%A7%80_%EB%B6%84%EB%A5%98%EA%B8%B0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sIf1b6-89jQu",
        "outputId": "8f23124f-f62e-4423-b64d-1fe1e697716b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (1.5.12)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from kaggle) (4.64.0)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.15.0)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.24.3)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle) (2022.6.15)\n",
            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle) (6.1.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.23.0)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.8.2)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle) (1.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (2.10)\n"
          ]
        }
      ],
      "source": [
        "!pip install kaggle "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FI-1oIHbCbfi",
        "outputId": "462ec9db-831e-4122-d2e1-64c1ecae6be3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "mkdir: cannot create directory ‘/root/.kaggle’: File exists\n"
          ]
        }
      ],
      "source": [
        "! mkdir ~/.kaggle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HCLisCP_Cq7x"
      },
      "outputs": [],
      "source": [
        "## 문서에 화살표 버튼 눌러 \n",
        "## kaggle.json 파일 업로드 "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2ugWfhtqDWJe"
      },
      "outputs": [],
      "source": [
        "#! cp kaggle.json ~/.kaggle/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OLzoyMBvDfBp",
        "outputId": "3cbcdb9c-9aa8-43ba-9fde-f354f397dfad"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "archive.zip  sample_data\n"
          ]
        }
      ],
      "source": [
        "! ls"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hER0Enw7DgVR",
        "outputId": "7a9544ee-6d40-41c6-f594-88504626a599"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        }
      ],
      "source": [
        "! pwd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Zy0A272RD_R9"
      },
      "outputs": [],
      "source": [
        "#! chmod ~/.kaggle/kaggle.json # 권한부여\n",
        "#!kaggle datasets download vishalsubbiah/pokemon-images-and-types ## data의 zip파일 다운로드 "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k9mLPX-yEkfR",
        "outputId": "a9e50cac-c65d-4ac3-81d8-9a8f9c6e28b1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "  inflating: images/images/tornadus-incarnate.png  \n",
            "  inflating: images/images/torracat.jpg  \n",
            "  inflating: images/images/torterra.png  \n",
            "  inflating: images/images/totodile.png  \n",
            "  inflating: images/images/toucannon.jpg  \n",
            "  inflating: images/images/toxapex.jpg  \n",
            "  inflating: images/images/toxicroak.png  \n",
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            "  inflating: images/images/trapinch.png  \n",
            "  inflating: images/images/treecko.png  \n",
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            "  inflating: images/images/tropius.png  \n",
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            "  inflating: images/images/ursaring.png  \n",
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            "  inflating: images/images/whiscash.png  \n",
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            "  inflating: images/images/wynaut.png  \n",
            "  inflating: images/images/xatu.png  \n",
            "  inflating: images/images/xerneas.png  \n",
            "  inflating: images/images/xurkitree.jpg  \n",
            "  inflating: images/images/yamask.png  \n",
            "  inflating: images/images/yanma.png  \n",
            "  inflating: images/images/yanmega.png  \n",
            "  inflating: images/images/yungoos.jpg  \n",
            "  inflating: images/images/yveltal.png  \n",
            "  inflating: images/images/zangoose.png  \n",
            "  inflating: images/images/zapdos.png  \n",
            "  inflating: images/images/zebstrika.png  \n",
            "  inflating: images/images/zekrom.png  \n",
            "  inflating: images/images/zeraora.jpg  \n",
            "  inflating: images/images/zigzagoon.png  \n",
            "  inflating: images/images/zoroark.png  \n",
            "  inflating: images/images/zorua.png  \n",
            "  inflating: images/images/zubat.png  \n",
            "  inflating: images/images/zweilous.png  \n",
            "  inflating: images/images/zygarde-50.png  \n",
            "  inflating: pokemon.csv             \n"
          ]
        }
      ],
      "source": [
        "#zip파일 풀기 \n",
        "! unzip archive.zip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9WacwtCLEuP5"
      },
      "outputs": [],
      "source": [
        "import os # 파일 관리 \n",
        "from PIL import Image #이미지처리"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P8jJWecYFDSM",
        "outputId": "8e8a13f7-3a7d-4e5f-f3d7-a50527c54d07"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "file names ['mewtwo.png', 'chansey.png', 'alakazam.png', 'carracosta.png', 'regigigas.png', 'wurmple.png', 'meltan.jpg', 'giratina-altered.png', 'petilil.png', 'sunflora.png', 'glaceon.png', 'ampharos.png', 'tympole.png', 'gligar.png', 'cubchoo.png', 'empoleon.png', 'xatu.png', 'dewott.png', 'grubbin.jpg', 'mudbray.jpg', 'durant.png', 'lumineon.png', 'budew.png', 'monferno.png', 'torterra.png', 'bidoof.png', 'combee.png', 'herdier.png', 'pineco.png', 'accelgor.png', 'karrablast.png', 'bruxish.jpg', 'azumarill.png', 'blaziken.png', 'cascoon.png', 'hoppip.png', 'xurkitree.jpg', 'kingler.png', 'rotom.png', 'cinccino.png', 'wynaut.png', 'barboach.png', 'dedenne.png', 'beldum.png', 'kecleon.png', 'kadabra.png', 'wimpod.jpg', 'slowking.png', 'pupitar.png', 'meowstic-male.png', 'seel.png', 'trumbeak.jpg', 'spoink.png', 'flabebe.png', 'litleo.png', 'noctowl.png', 'magcargo.png', 'aron.png', 'feebas.png', 'palossand.jpg', 'combusken.png', 'lugia.png', 'kricketot.png', 'omanyte.png', 'hippowdon.png', 'palpitoad.png', 'donphan.png', 'swirlix.png', 'haunter.png', 'trevenant.png', 'grumpig.png', 'silvally.jpg', 'baltoy.png', 'poipole.jpg', 'audino.png', 'pangoro.png', 'swablu.png', 'houndoom.png', 'toxapex.jpg', 'larvesta.png', 'spinda.png', 'nidoran-m.png', 'walrein.png', 'manectric.png', 'galvantula.png', 'groudon.png', 'tapu-bulu.jpg', 'pidove.png', 'porygon-z.png', 'joltik.png', 'lileep.png', 'roselia.png', 'eelektross.png', 'roserade.png', 'croconaw.png', 'forretress.png', 'charmeleon.png', 'rhyhorn.png', 'axew.png', 'talonflame.png', 'snorunt.png', 'electrode.png', 'anorith.png', 'crabominable.jpg', 'eelektrik.png', 'yamask.png', 'duosion.png', 'teddiursa.png', 'paras.png', 'phione.png', 'fletchling.png', 'tauros.png', 'swampert.png', 'crawdaunt.png', 'barbaracle.png', 'servine.png', 'spiritomb.png', 'salandit.jpg', 'bounsweet.jpg', 'mareep.png', 'shuckle.png', 'psyduck.png', 'heatran.png', 'arcanine.png', 'lycanroc-midday.jpg', 'scyther.png', 'samurott.png', 'deino.png', 'froslass.png', 'heracross.png', 'fomantis.jpg', 'octillery.png', 'comfey.jpg', 'azurill.png', 'shiinotic.jpg', 'zorua.png', 'clawitzer.png', 'cobalion.png', 'passimian.jpg', 'starly.png', 'spewpa.png', 'tapu-koko.jpg', 'chesnaught.png', 'regirock.png', 'hitmontop.png', 'scolipede.png', 'nidorina.png', 'prinplup.png', 'steenee.jpg', 'feraligatr.png', 'pyroar.png', 'tangrowth.png', 'cofagrigus.png', 'delphox.png', 'sunkern.png', 'primeape.png', 'linoone.png', 'hoopa-confined.png', 'seedot.png', 'aerodactyl.png', 'tentacruel.png', 'sandile.png', 'pidgeot.png', 'patrat.png', 'scraggy.png', 'beedrill.png', 'serperior.png', 'raikou.png', 'seismitoad.png', 'lickilicky.png', 'zubat.png', 'grovyle.png', 'bouffalant.png', 'palkia.png', 'skrelp.png', 'hydreigon.png', 'koffing.png', 'seviper.png', 'dewpider.jpg', 'jangmo-o.jpg', 'gothorita.png', 'ledian.png', 'thundurus-incarnate.png', 'beartic.png', 'misdreavus.png', 'charizard.png', 'salamence.png', 'melmetal.jpg', 'makuhita.png', 'slugma.png', 'ponyta.png', 'growlithe.png', 'cresselia.png', 'zweilous.png', 'tirtouga.png', 'buizel.png', 'turtwig.png', 'fennekin.png', 'mawile.png', 'glameow.png', 'tornadus-incarnate.png', 'latios.png', 'cradily.png', 'minior-meteor.jpg', 'slakoth.png', 'hippopotas.png', 'panpour.png', 'lampent.png', 'charjabug.jpg', 'pinsir.png', 'swinub.png', 'remoraid.png', 'chinchou.png', 'staryu.png', 'kartana.jpg', 'purrloin.png', 'mudkip.png', 'volcanion.png', 'meditite.png', 'lanturn.png', 'helioptile.png', 'togepi.png', 'illumise.png', 'volcarona.png', 'celebi.png', 'goomy.png', 'lairon.png', 'lunala.jpg', 'cosmog.jpg', 'ninjask.png', 'gengar.png', 'frillish.png', 'ekans.png', 'vanillish.png', 'mudsdale.jpg', 'slowbro.png', 'stoutland.png', 'mothim.png', 'skuntank.png', 'oricorio-baile.jpg', 'diggersby.png', 'buzzwole.jpg', 'garchomp.png', 'grimer.png', 'venonat.png', 'marshadow.jpg', 'celesteela.jpg', 'clefable.png', 'drampa.jpg', 'yanma.png', 'metagross.png', 'solgaleo.jpg', 'tynamo.png', 'braviary.png', 'ribombee.jpg', 'poochyena.png', 'piloswine.png', 'eevee.png', 'wishiwashi-solo.jpg', 'geodude.png', 'politoed.png', 'porygon.png', 'gible.png', 'abomasnow.png', 'incineroar.jpg', 'yveltal.png', 'cubone.png', 'jumpluff.png', 'weezing.png', 'poliwhirl.png', 'swellow.png', 'pidgey.png', 'armaldo.png', 'toxicroak.png', 'snivy.png', 'mantine.png', 'simipour.png', 'electivire.png', 'munchlax.png', 'guzzlord.jpg', 'pansear.png', 'uxie.png', 'pikachu.png', 'horsea.png', 'larvitar.png', 'dhelmise.jpg', 'entei.png', 'natu.png', 'mime-jr.png', 'popplio.jpg', 'magmortar.png', 'graveler.png', 'scrafty.png', 'voltorb.png', 'dodrio.png', 'kricketune.png', 'igglybuff.png', 'shelgon.png', 'crobat.png', 'kyurem.png', 'bronzor.png', 'omastar.png', 'morelull.jpg', 'nidoqueen.png', 'gothita.png', 'raichu.png', 'escavalier.png', 'goodra.png', 'marowak.png', 'abra.png', 'torchic.png', 'beautifly.png', 'spheal.png', 'nidoran-f.png', 'persian.png', 'machop.png', 'tyranitar.png', 'grotle.png', 'lucario.png', 'starmie.png', 'conkeldurr.png', 'fletchinder.png', 'archen.png', 'quilava.png', 'genesect.png', 'golbat.png', 'throh.png', 'aromatisse.png', 'cranidos.png', 'shellder.png', 'sawk.png', 'arbok.png', 'staraptor.png', 'sewaddle.png', 'honedge.png', 'exeggutor.png', 'mimikyu.jpg', 'rowlet.jpg', 'drifloon.png', 'gastrodon.png', 'ditto.png', 'turtonator.jpg', 'corphish.png', 'pyukumuku.jpg', 'relicanth.png', 'carbink.png', 'type-null.jpg', 'excadrill.png', 'shaymin-land.png', 'trapinch.png', 'cryogonal.png', 'emolga.png', 'jellicent.png', 'weepinbell.png', 'whismur.png', 'bayleef.png', 'amoonguss.png', 'darkrai.png', 'raticate.png', 'klefki.png', 'tentacool.png', 'lillipup.png', 'pignite.png', 'doduo.png', 'keldeo-ordinary.png', 'croagunk.png', 'timburr.png', 'victini.png', 'sableye.png', 'vibrava.png', 'sneasel.png', 'ferroseed.png', 'infernape.png', 'swadloon.png', 'lombre.png', 'araquanid.jpg', 'floatzel.png', 'roggenrola.png', 'seadra.png', 'wigglytuff.png', 'seaking.png', 'dartrix.jpg', 'nihilego.jpg', 'weedle.png', 'happiny.png', 'magearna.jpg', 'hoothoot.png', 'vileplume.png', 'hitmonchan.png', 'vigoroth.png', 'farfetchd.png', 'flaaffy.png', 'zeraora.jpg', 'vespiquen.png', 'sliggoo.png', 'chikorita.png', 'golett.png', 'mew.png', 'magnezone.png', 'golduck.png', 'bulbasaur.png', 'aurorus.png', 'komala.jpg', 'blissey.png', 'milotic.png', 'foongus.png', 'machamp.png', 'pancham.png', 'spinarak.png', 'basculin-red-striped.png', 'lurantis.jpg', 'probopass.png', 'garbodor.png', 'skorupi.png', 'dratini.png', 'leavanny.png', 'alomomola.png', 'fearow.png', 'solosis.png', 'chimecho.png', 'gardevoir.png', 'burmy.png', 'typhlosion.png', 'skiddo.png', 'lickitung.png', 'tropius.png', 'nidoking.png', 'cutiefly.jpg', 'electabuzz.png', 'staravia.png', 'sawsbuck.png', 'numel.png', 'maractus.png', 'vaporeon.png', 'exeggcute.png', 'tsareena.jpg', 'stantler.png', 'treecko.png', 'bunnelby.png', 'virizion.png', 'vanilluxe.png', 'quilladin.png', 'aegislash-blade.png', 'kabutops.png', 'tapu-lele.jpg', 'kommo-o.jpg', 'bellossom.png', 'latias.png', 'whiscash.png', 'nosepass.png', 'metapod.png', 'minccino.png', 'bronzong.png', 'poliwag.png', 'hakamo-o.jpg', 'krokorok.png', 'braixen.png', 'charmander.png', 'dunsparce.png', 'piplup.png', 'minun.png', 'shinx.png', 'chandelure.png', 'klinklang.png', 'rattata.png', 'kangaskhan.png', 'scizor.png', 'jynx.png', 'inkay.png', 'greninja.png', 'espeon.png', 'jigglypuff.png', 'absol.png', 'nidorino.png', 'bewear.jpg', 'girafarig.png', 'snubbull.png', 'taillow.png', 'ferrothorn.png', 'zoroark.png', 'magmar.png', 'smeargle.png', 'golisopod.jpg', 'liepard.png', 'ninetales.png', 'jirachi.png', 'volbeat.png', 'marill.png', 'naganadel.jpg', 'litwick.png', 'avalugg.png', 'flygon.png', 'yanmega.png', 'kirlia.png', 'electrike.png', 'umbreon.png', 'clamperl.png', 'oshawott.png', 'decidueye.jpg', 'qwilfish.png', 'magnemite.png', 'lapras.png', 'mesprit.png', 'pumpkaboo-average.png', 'ivysaur.png', 'vullaby.png', 'aggron.png', 'salazzle.jpg', 'froakie.png', 'riolu.png', 'bagon.png', 'onix.png', 'elgyem.png', 'druddigon.png', 'darmanitan-standard.png', 'murkrow.png', 'shelmet.png', 'corsola.png', 'mandibuzz.png', 'magikarp.png', 'mankey.png', 'darumaka.png', 'pheromosa.jpg', 'rhydon.png', 'deoxys-normal.png', 'vikavolt.jpg', 'arceus.png', 'drilbur.png', 'gastly.png', 'cloyster.png', 'pikipek.jpg', 'bellsprout.png', 'cacturne.png', 'togekiss.png', 'yungoos.jpg', 'chatot.png', 'ambipom.png', 'drapion.png', 'swalot.png', 'luvdisc.png', 'heatmor.png', 'blacephalon.jpg', 'malamar.png', 'blitzle.png', 'ludicolo.png', 'ducklett.png', 'slaking.png', 'spearow.png', 'dragonair.png', 'munna.png', 'skiploom.png', 'zigzagoon.png', 'poliwrath.png', 'diancie.png', 'castform.png', 'sealeo.png', 'gourgeist-average.png', 'heliolisk.png', 'klang.png', 'quagsire.png', 'lunatone.png', 'phantump.png', 'cacnea.png', 'machoke.png', 'pelipper.png', 'marshtomp.png', 'furret.png', 'kingdra.png', 'brionne.jpg', 'solrock.png', 'sylveon.png', 'zebstrika.png', 'camerupt.png', 'florges.png', 'reshiram.png', 'zapdos.png', 'skitty.png', 'kakuna.png', 'woobat.png', 'claydol.png', 'shieldon.png', 'mightyena.png', 'ursaring.png', 'gliscor.png', 'ledyba.png', 'haxorus.png', 'wooper.png', 'noivern.png', 'dwebble.png', 'lopunny.png', 'mienfoo.png', 'binacle.png', 'huntail.png', 'nuzleaf.png', 'furfrou.png', 'vulpix.png', 'blastoise.png', 'rayquaza.png', 'archeops.png', 'cleffa.png', 'krabby.png', 'pansage.png', 'pawniard.png', 'deerling.png', 'bisharp.png', 'carvanha.png', 'lotad.png', 'vivillon.png', 'rampardos.png', 'drifblim.png', 'venomoth.png', 'dragalge.png', 'stakataka.jpg', 'cottonee.png', 'gurdurr.png', 'gallade.png', 'flareon.png', 'hariyama.png', 'duskull.png', 'tyrunt.png', 'snorlax.png', 'pidgeotto.png', 'ariados.png', 'articuno.png', 'victreebel.png', 'spritzee.png', 'shellos.png', 'gogoat.png', 'sharpedo.png', 'houndour.png', 'emboar.png', 'torracat.jpg', 'simisear.png', 'ralts.png', 'landorus-incarnate.png', 'zekrom.png', 'dewgong.png', 'togedemaru.jpg', 'regice.png', 'litten.jpg', 'mismagius.png', 'watchog.png', 'golurk.png', 'hawlucha.png', 'porygon2.png', 'venusaur.png', 'musharna.png', 'gloom.png', 'leafeon.png', 'hypno.png', 'luxray.png', 'dustox.png', 'weavile.png', 'magneton.png', 'sigilyph.png', 'medicham.png', 'nincada.png', 'exploud.png', 'dusknoir.png', 'dialga.png', 'granbull.png', 'togetic.png', 'boldore.png', 'hitmonlee.png', 'frogadier.png', 'cyndaquil.png', 'rapidash.png', 'rufflet.png', 'buneary.png', 'sceptile.png', 'silcoon.png', 'purugly.png', 'carnivine.png', 'delcatty.png', 'wobbuffet.png', 'trubbish.png', 'sentret.png', 'bonsly.png', 'suicune.png', 'stunfisk.png', 'goldeen.png', 'gumshoos.jpg', 'whirlipede.png', 'rhyperior.png', 'mienshao.png', 'shiftry.png', 'tapu-fini.jpg', 'mareanie.jpg', 'slowpoke.png', 'surskit.png', 'cherubi.png', 'plusle.png', 'unfezant.png', 'terrakion.png', 'torkoal.png', 'simisage.png', 'elekid.png', 'breloom.png', 'chingling.png', 'rockruff.jpg', 'clefairy.png', 'fraxure.png', 'swoobat.png', 'shroomish.png', 'registeel.png', 'masquerain.png', 'cosmoem.jpg', 'crabrawler.jpg', 'chimchar.png', 'oranguru.jpg', 'kyogre.png', 'metang.png', 'azelf.png', 'primarina.jpg', 'sandslash.png', 'mr-mime.png', 'meganium.png', 'mantyke.png', 'clauncher.png', 'butterfree.png', 'xerneas.png', 'chespin.png', 'pichu.png', 'ho-oh.png', 'diglett.png', 'gigalith.png', 'mamoswine.png', 'slurpuff.png', 'gorebyss.png', 'loudred.png', 'reuniclus.png', 'bergmite.png', 'vanillite.png', 'gyarados.png', 'caterpie.png', 'meloetta-aria.png', 'bibarel.png', 'muk.png', 'banette.png', 'swanna.png', 'sudowoodo.png', 'jolteon.png', 'noibat.png', 'oddish.png', 'beheeyem.png', 'unown.png', 'moltres.png', 'meowth.png', 'golem.png', 'glalie.png', 'tepig.png', 'altaria.png', 'drowzee.png', 'manaphy.png', 'dusclops.png', 'delibird.png', 'squirtle.png', 'zangoose.png', 'scatterbug.png', 'toucannon.jpg', 'sandshrew.png', 'snover.png', 'necrozma.jpg', 'cherrim.png', 'kabuto.png', 'gothitelle.png', 'luxio.png', 'finneon.png', 'shuppet.png', 'miltank.png', 'dugtrio.png', 'phanpy.png', 'venipede.png', 'shedinja.png', 'bastiodon.png', 'dragonite.png', 'parasect.png', 'tangela.png', 'steelix.png', 'tranquill.png', 'doublade.png', 'wailmer.png', 'totodile.png', 'aipom.png', 'wingull.png', 'wartortle.png', 'whimsicott.png', 'wormadam-plant.png', 'gulpin.png', 'gabite.png', 'zygarde-50.png', 'tyrantrum.png', 'magby.png', 'espurr.png', 'crustle.png', 'floette.png', 'pachirisu.png', 'wailord.png', 'krookodile.png', 'stunky.png', 'klink.png', 'honchkrow.png', 'smoochum.png', 'amaura.png', 'sandygast.jpg', 'lilligant.png', 'tyrogue.png', 'skarmory.png', 'stufful.jpg']\n"
          ]
        }
      ],
      "source": [
        "## 데이터셋의 이미지파일 확인 \n",
        "root_dir = './images/images'\n",
        "files = os.path.join(root_dir)\n",
        "File_names = os.listdir(files) #파일들 확인 \n",
        "print('file names', File_names)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6W5ua4QnFlBJ"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 567
        },
        "id": "tBFwlLIuFq4Z",
        "outputId": "6916c7a7-457b-40fc-ff08-78c5b978534e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x576 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig, axes = plt.subplots(2, 3, figsize = (15, 8)) # 2*3 배열 \n",
        "first_five = File_names[:6]\n",
        "\n",
        "def subplots():\n",
        "  i = 0\n",
        "  j = 0\n",
        "  k = 0\n",
        "  for k in range(5):\n",
        "    state = os.path.join(root_dir, first_five[k])\n",
        "    img = Image.open(state)\n",
        "    axes[i, j].imshow(img)\n",
        "\n",
        "    if k ==2:\n",
        "      i += 1\n",
        "      j = 0\n",
        "    else:\n",
        "      j+=1\n",
        "\n",
        "    plt.tight_layout(pad = 2)\n",
        "\n",
        "subplots()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hGdIZuiXHJjX"
      },
      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "E81HHhplHXRM",
        "outputId": "3208fc05-2b0a-48b9-ee9f-2fed8fd73fb6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Name  Type1   Type2\n",
              "0   bulbasaur  Grass  Poison\n",
              "1     ivysaur  Grass  Poison\n",
              "2    venusaur  Grass  Poison\n",
              "3  charmander   Fire     NaN\n",
              "4  charmeleon   Fire     NaN"
            ],
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              "      <td>charmeleon</td>\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7c83ecfc-ca63-40d9-8802-4ed4e40be4e6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7c83ecfc-ca63-40d9-8802-4ed4e40be4e6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "source": [
        "## 데이터셋의 csv 파일 확인 \n",
        "df = pd.read_csv('./pokemon.csv')\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = df.sort_values(by = ['Name'], ascending= True)\n",
        "df2.reset_index(drop = True) # 'Name' ascending 정렬 \n",
        "df2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "j2BNuDEpJP0G",
        "outputId": "c5496815-9567-481e-d66b-11d6e970a6e6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                Name    Type1  Type2\n",
              "459        abomasnow    Grass    Ice\n",
              "62              abra  Psychic    NaN\n",
              "358            absol     Dark    NaN\n",
              "616         accelgor      Bug    NaN\n",
              "680  aegislash-blade    Steel  Ghost"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a4bc989e-eae3-4c06-9ade-e54e2b55a479\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Type1</th>\n",
              "      <th>Type2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>459</th>\n",
              "      <td>abomasnow</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Ice</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>abra</td>\n",
              "      <td>Psychic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>358</th>\n",
              "      <td>absol</td>\n",
              "      <td>Dark</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>616</th>\n",
              "      <td>accelgor</td>\n",
              "      <td>Bug</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>680</th>\n",
              "      <td>aegislash-blade</td>\n",
              "      <td>Steel</td>\n",
              "      <td>Ghost</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a4bc989e-eae3-4c06-9ade-e54e2b55a479')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a4bc989e-eae3-4c06-9ade-e54e2b55a479 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a4bc989e-eae3-4c06-9ade-e54e2b55a479');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "k-wLainLKfIH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "type1 = df['Type1'].tolist()\n",
        "type2 = df['Type2'].tolist()\n",
        "\n",
        "typo = type1 + type2\n",
        "\n",
        "plt.figure(figsize = (14, 6))\n",
        "\n",
        "sns.countplot(x = typo)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "id": "POYmIoDaKKqu",
        "outputId": "b1cb07d7-3dac-45a8-91b3-74aa73e09ca8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f09d73d7e10>"
            ]
          },
          "metadata": {},
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ],
            "image/png": 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AACOx4meGWmt/1Frbt7W2X5KnJvlwa+23k3wkyWF9siOSnLrStQEAAOOxPf2doZcm+YOquizDNURvnXE9AADADmwW3eQ2aq2dneTsPnx5kgfMsh4AAGA8tqczQwAAACtGGAIAAEZJGAIAAEZJGAIAAEZJGAIAAEZJGAIAAEZJGAIAAEZJGAIAAEZppn90FQCAmzvp5A2zLiFJcvgT1866BJgqZ4YAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBREoYAAIBRWvEwVFV3q6qPVNWlVXVJVf1+H79HVZ1ZVV/q/99ppWsDAADGYxZnhm5I8uLW2oFJHpjk+VV1YJKXJTmrtXZAkrP6YwAAgKlY8TDUWru6tXZeH/5Oks8l2SfJIUlO6JOdkOTQla4NAAAYj5leM1RV+yX5pSTnJNmrtXZ1f+qaJHst8pqjqmp9Va3fsGHDitQJAADseGYWhqpqtyQnJ3lha+3bk8+11lqSttDrWmvHtdbWtdbWrV27dgUqBQAAdkQzCUNVtXOGIPTO1tr7+uhrq2rv/vzeSa6bRW0AAMA4zOJucpXkrUk+11r724mnTktyRB8+IsmpK10bAAAwHmtmMM8HJ3l6kouq6oI+7o+T/FWSd1fVs5N8JcmTZ1AbAAAwEisehlpr/ydJLfL0I1ayFgAAYLxmejc5AACAWRGGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAURKGAACAUdruwlBVHVxVX6iqy6rqZbOuBwAA2DFtV2GoqnZK8ndJfj3JgUkOr6oDZ1sVAACwI9quwlCSByS5rLV2eWvtx0n+KckhM64JAADYAW1vYWifJFdOPL6qjwMAAFhW1VqbdQ0bVdVhSQ5urf1//fHTk/xya+13J6Y5KslR/eE9k3xhCqXsmeRrU3jfaVhNtSarq97VVGuyuupV6/SspnpXU63J6qpXrdOzmupdTbUmq6tetU7PNOr9qdba2oWeWLPMM9pWX01yt4nH+/ZxG7XWjkty3DSLqKr1rbV105zHcllNtSarq97VVGuyuupV6/SspnpXU63J6qpXrdOzmupdTbUmq6tetU7PSte7vXWT+0ySA6pq/6q6dZKnJjltxjUBAAA7oO3qzFBr7Yaq+t0kZyTZKcnbWmuXzLgsAABgB7RdhaEkaa19MMkHZ1zGVLvhLbPVVGuyuupdTbUmq6tetU7Paqp3NdWarK561To9q6ne1VRrsrrqVev0rGi929UNFAAAAFbK9nbNEAAAwIrY4cNQVe1VVf9YVZdX1blV9W9V9fhZ17VUVXVjVV0w8W+/qvrkjGs6tqpeOPH4jKp6y8TjV1XVHyzy2iOr6q4rUefmTCzXz1bVeVX1KzOspVXVqyYev6SqjlnhGs6uqq26c8vEMry4qt5TVbtuZtrHVdXLtr3SrbPA9vOyPn6rP29/3X2q6jGbeX5dVb12G+qdaXvV25eLt/E9btZmbWbaqbZlt7T9rKorqmrPBcYfNNlWVNVzquoZU6p5i9vVVr7v8f3PV8wff9eqeu9yzGPe+05+jg9U1e634D0OqqrTl7u2efNYcJvrv1WvX4b3X5HfvKr67rTnsYX5z33fl/Tf1RdX1arbx1yOz7Ec7egS5/Mnvc4Le82/XFUv3JY2Y7F2Yhveb6E2eIvb9TTa1s3Z7q4ZWk5VVUnen+SE1tpv9XE/leRx86Zb01q7YQYlLsUPWmv3mTfuZjvuK/wZPpHkyUle3RuJPZPcYV59L1rktUcmuTjJfyx1ZlP6bBuXa1U9OslfJvm1ZZ7HUv0oyROq6i9ba1t9X/0Zrr+Ty/CdSZ6T5G8XmrC1dlpmc2fIhbafbXGfJOuywHWN/XtYn2T9LXnjHaS9SrZimbfWpt2WLan93AoHJflukk8mSWvtTdvwXotZ8na1HFpr/5Fk2XZ+Jkx+jhOSPD/JK6Ywn1tsC9vcd5ZpNkdmK3/zVqnJ7/u/JPnHDPsFR09OtJrar819jsVU1YrsV1fVg5I8Nsl9W2s/6gdvbp3kXUn+Icn3V6KOJbhZG7y5A2RzptS2LmrVpfat9PAkP55cqK21r7TWXteP1pxWVR9OclZV7VZVZ9VwluCiqjokSarqdlX1z/0IwcVV9ZQ+/q+q6tKeyP9mJT/U3BGgnq4/XlWnJbm0qnaqqr+uqs/0un5nSiV8MsmD+vDPZWjov1NVd6qq2yT5f5I8qtdxcVUdV4PDMuxIvrMfIbhtVd2vqj7aj8idUVV79892dlW9uqrWJ/n9KX2OOXdI8s0+35scsaiq11fVkX34MVX1+V7ra5fxiOUNGS4WvFmA7EdRPty/z7Oq6u59/PFV9aaqOifJ/+qP31hVn6rhCOdBVfW2qvpcVR0/8X5vrKr1/WjSny1T/Uny8ST3qKo9qur9vd5PVdW9+3w3HmWtqif19eKzVfWxPm6Xqnp73/bOr6qHTbzufVX1oar6UlX9r2WsOX0ej6rhaPB5NRyJ362Pv39VfbLX+emqumOSlyd5Sl9/n1JVx1TViVX1iSQnTq4/vU2Z+0wXVtUTt1DK1rRXiy3nY6rqJROf7eK+Du3X14U39+/+X6rqtn2a+/XP+NkMO6zLqhZpW/tzi7VlL6+bnn1+RVUtSzswMc9bVdUb+jZ9ZlV9sG56RPQFEzXfq4Yf8OckeVH//n91cnn3NuuVfV35YlX9ah+/a1W9u4bfi1Oq6pxa+lnJue1q76r6WG060/KrVfWsqnr1xOf6r1V1bB9+Rl83PltVJ06830P7On353GetiaPYNfyG/E2fx4VV9YJbsowX8G9J9unzuE9fZy/sy+NOffw9qupfa9PZ+p+ZfIO+PZ4/f/w2WnSb6w/vulDbU1WH9/Xi4qp6ZR+3Uw3t8MX9uRfVAr95y1j7oqrqpb2Gz1bVX/VxP9M/y7l9W7vXtObfWrsuyVFJfrcGS9rf6nX+96r6QlX9n6o6aWL7Wmy9WXC7m9Ln2K8vu/NqokdJzWu/Jt+jqn66r7f3X666ur2TfK219qNe69cyHNS4a5KPVNVH+vwX+31bcN9rJdXQBn+pqtZOPL6sqtbW9NvWm2qt7bD/kvxekmMXee7IJFcl2aM/XpPkDn14zySXJakkT0zy5onX3THJnZN8IZtuQLH7FD/DjUku6P9O6eO+2/8/KMn3kuzfHx+V5E/78G0yHKHef0p1fTnJ3ZP8ToYdhD9P8pgkD87wA77HxLQnJvnNPnx2knV9eOcMwWptf/yUDLdTn5vuDSuwXD+f5FtJ7jexTE+fmO71fV3ZJcmVE8v6pMnptrGW72YIZFf09eslSY7pz30gyRF9+FlJ3t+Hj09yepKdJh7/U19nD0ny7SS/kOGAx7lJ7tOnm1vfd+rL+N7zv5etqXti2zk1yXOTvC7J0X38w5NcMLG9vb4PX5Rkn8ltJ8mLJ777eyX5977Mj0xyeV8uuyT5SpK73cLt54IkT5n8vBm29Y8luV0f/9Ik/yPDEbbLk9y/j79D/5wbP0cff0xfvredv/4keWWSV09Me6ct1Lo17dViy/mYJC+ZeN3FSfbr/26YWA/eneRpffjCJA/tw3+d5OJl2rYuSHJKFmlb561DB+Wmbdl+Sc7rw7dK8v8nufO21jJvnodlOMN3qyR3yXBA5LD+3BVJXtCHn5fkLYss342P+zr1qj78mCT/2odfkuTv+/DP9+9h0W0tC29XL07yJxPb7u2T7NaXy859/CczbPM/l+SLSfact80fn+Q9/fMemOSyiWV9cR9+bpL3Jlkz+dpbuB58d6Le9yQ5eGJ9+7U+/PL0bSTJOUke34d3SbJrXy9Oz3A279wkd9+WdfMWbHM3a3sy7Gz+e5K1/Tv6cJJDk9wvyZkTr59r287e3Pe9jJ9lbnn/el8Xdp33/Z+V5IA+/MtJPjyN+c8bd32SvbL0/a37Z9hWd+nr+JeyaftabL05Owtsd1P6HLsm2aWPOyDJ+j58UG7efl2c5J5Jzk/yi1P4vnfry+qLSd4wsWyuyKZtf7Hft83tex2f3g4uU50LtcEHZdPv5NFJXtiHH5Xk5D58TJa5bd3cvx26m9x8VfV3SR6S5MdJ/i5Dw/WNuaeT/M+qemiSn2Q4irVXhh23V/WjP6e31j5ew2nQHyZ5aw1HgafZp3lLXU4+3Vr7ch9+VJJ716ajm3fMsMF+ecFXbptPZviB+pUMXTj26cPfytCN7mFV9YcZGo89klySYcd+0j0zrMBnVlUy/GhePfH8u6ZQ95zJU+EPSvKOqvr5zUx/rySXTyzrkzKEz2XRWvt2Vb0jw4/zDyaeelCSJ/ThE5NMnhl5T2vtxonHH2ittaq6KMm1rbWLkqSqLsnQOF+Q5MlVdVSGH6O9M+wUXXgLy75tVV3Qhz+e5K0Zdmie2D/Th6vqzlV1h3mv+0SS46vq3Une18c9JMMOflprn6+qryT52f7cWa21b/XPcmmSn8oQTJdiS9vPAzMsg0/0dfDWGY5i3zPJ1a21z/Savt3nv9B7nNZa+8EC4x+Z4Q9Hp7/HN5dYc/q8NtdePSRbXs7zfbm1Nvd9nZtkvxqu49i9tfaxPv7EDDtT2+Imy7yqds7Cbes18163sS1rrV1RVV+vql/q057fWvv6ttYyz0MybEM/SXLN3JHUCXPr5rnZtA1uyeRr9puYz2uSpLV2cVVtaXtbaLt6YJK39WX5/rnvsR9pf2xVfS5DKLqohrM572m9y+3EOpP+2p9kOPu21wLzfmSSN7XejWnea7fW3OfYJ8nnMrTzd8ywvn20T3NCkvdU1e0zHCA5pc/3h/3zJUNPg+OSPKoNXfqmZoFtbqG2585Jzm6tbejj35nkoRkOCP50Vb0uyT8n+Zdp1roZj0zy9tba95PhO+xnA34lw7Kem+42K1zXUva3Hpzk1P79/7CqPpAki603E++90HY3DTsneX1V3SfDTv7PTjw3uS+WDGH51CRPaK3d5GzRcmitfbeq7pfkV5M8LMm76ubX5W7u921z+17LaUu/wW/LsJxeneGA79sXmW452tZF7ehh6JL0HYYkaa09v4Z+lXN9+r83Me1vZ1h579da+8+quiLDEYAvVtV9M6TRv6iqs1prL6+qByR5RIaji7+b4ejsLEx+hspwNPOMFZjvJzI0rr+Q4QjIlRmOXn47w8r85gwJ/coabgawywLvUUkuaa09aIHnkpt+tqlprf1bXy/WZjiyMNl9dKG6p+XVSc7L4o3BfPOXz4/6/z+ZGJ57vKaq9s9wJOX+rbVv1tB9bls+30J9gbf4otbac6rql5P8RpJze4O+OZOf5cYsb7tVGX6kD7/JyKpf2Ir3WK71dGvaq8Vsbv2dvxxXpMtOFmlbF5hu/ud7S4YjynfJ8IO50uaW19asc7fkNfMttPPwsb7j+BsZDiT8bWvtHRmW0R9nOMO9lHZjch3Y8sa6bX7QWrtPDRdzn5GhC+YJt+B9rs6wvvxSlv+6my1tc0tue3qb+otJHp2ht8STM+zcbQ9uleT6LeyULquq+ukMy+y6PmqL+1vbMLvl2O4WNO9zHJ3k2iS/mGGZ/nBi0vnt17cynEF8SOZ1nVsu/WDo2UnO7gdBj5g3yeZ+3za377Vi+j7itVX18CQPyLBuLGRq33Gy418z9OEku1TVcyfGLXaXjTsmua5vmA/LcAQoNdwF5vuttX/I0IXkvv0oyx3b8AdiX5Rhw9genCIlDNIAAAW5SURBVJHkuf3oYarqZ6vqdlOa1yczXLz3jdbajf2Iz+4ZzmTM3a3pa31ZTfbD/06G09/J0NVwbT8zk6rauap+bkr1LqqGvtM7Jfl6hq4QB1bVbfpR80dM1PrTtenCv6csdx19Gb47ybMnRn8ym84u/HaGI8W31B0yNNjf6keFt/UMwEI+nt6YVdVBGfo0f3tygqr6mdbaOa21/5FkQ4auJ5Ov+9kMXTC/MIX65vtUkgdX1T36vG/X5/+FJHtX7+ddVbfvZ4Qn198tOTMT1+BU7+O+GVvTXi22nK9Ict8+/r5J9t/cDFtr1ye5vqoe0kct9kO0LRZsW5fglCQHZ+g6M40DPJ9I8sQa+qnvlaHrxpZszfc/OZ8nJ0lVHZjhANJWqeGi/mtba2/OEIDumySttXMybD+/leFsdTKsR0+qqjv31+6xFbM6M8nv9HV9a1+7oH6G4vcyHCz7XpJv1qbrOp6e5KOtte8kuaqqDu3zvU1tuiPW9RlC4F/2dX05bc02N+fTSX6tqvasqp2SHJ7koz1E3aq1dnKSP03/jnLL1pltcWaSZ84tv6rao7cNX66qJ/Vx1YPbVNRwDcibMnQpbgtMslib8Ikkv1nDNaS7ZdjHSD87d7P1Zlr1z1ngc9wxQ4+Bn/QadtrMy3+c5PFJnlFVvzWF2u5ZVQdMjLpPhv2XyfVtc79vM9/3mvCWDDd9mN/bZUu2uW2ds0OfGepdhg5NcmwNXbY2ZGiMX5qbHxV9Z5IP9HS9PsORtmRYuH9dVT9J8p8Z+lTfPsmpVbVLhuS94G2kZ+At6X3tazhEvyFDX+ZpuChDf9R/nDdut9ba16rqzRnOGF2T5DMT0xyf5E1V9YMMwemwJK/tp8HXZDg7csmUap402RWlMlyXc2OSK2vovnVxhu6F5ydJa+0HVfW8JB+qqu/N+0zL6VUZzjTOeUGSt1fVf8vwfT7zlr5xa+2zVXV+hnX7ygwNyXI7JkN3ngsz3M1m/pGqZNieDsiw3M9K8tle0xv79ndDkiPbcIecba1n8ntOkg+11jZ2JWitbajhBhkn1XDzj2S47u6LNdws5XU1XPT8gwzdTz6S5GX9Pf9yC/P+iyR/V8PF6Tcm+bNsOtV/M1vZXh2ThZfzyRl+fC/J0GXxi1uoMRnWqbdVVct0uvYs1rZuVmvtxzV0Xbt+K38gl+rkDAc7Ls2wPZyX4Wju5nwgyXtruOB7qTcXeEOSE2roZvX5DO3bluYz30FJ/ltV/WeGawwnbzn77gzXgn0zSVprl1TVKzLsoN+YoQ07conzeUuGrj8X9nm9OcN1k9uktXZ+X1cPz7CuvqnvrF+eTW3a05P8fVW9PMNv7ZMmXn9tVT02yf+uqmf1ELjNtnKbm3vN1TV0R/pIhjbsn1trp/Zw8fbadBvmP+r/H5+J37xFutQum9bah2roxrW+qn6c4bq4P85woOONVfWnGbp7/VOGtne5zLW1O2dow0/M4ndBXLBNaK19poabEFyY4QzMRdm0rSy23iy3zX2ONyQ5uYZbPn8oWzhb31r7Xl9vz6yq77bhrqrLZbcMv0+79zovy9B1//AM+yn/0Vp72GZ+32a177WQ0zKc2V5qr5g5y9G2Jtl0ESuwBVW1W++nWxn6k3+ptXbsrOuCHVHfqTwvyZNaa1+a0jzmtuk7Zzji/+DW2vxrmbZ1HjtluJ7nhzXcCe1fk9yztfbjZXr/0zPcBOCs5Xg/mKWJbXLXDBf/H9VaO2/WdTE9NdwB7tjW2lbdCXA529Yd+swQLLP/WlVHZLgI8fwkfz/jemCH1Ls8nJ7h7kNTCULd6f3I6q2T/PlyB6Fu1wy3ut05w5mE5y1HEOp1fzrJZwUhdiDH9e1/lwx//0kQ2oH1s6zPzS3ror1sbaszQwAAwCjt6DdQAAAAWJAwBAAAjJIwBAAAjJIwBAAAjJIwBAAAjJIwBAAAjNL/BRwycSXWMutsAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x1= df.Type1.value_counts().keys()\n",
        "y1 = df.Type1.value_counts().values\n",
        "print('x1', x1)\n",
        "print('y1', y1)\n",
        "\n",
        "x2 = df.Type2.value_counts().keys()\n",
        "y2 = df.Type2.value_counts().values\n",
        "print('x2', x2)\n",
        "print('y2', y2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ghBPAPUELER_",
        "outputId": "901badc6-8186-4705-b230-0e14eaf9a226"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "x1 Index(['Water', 'Normal', 'Grass', 'Bug', 'Fire', 'Psychic', 'Rock',\n",
            "       'Electric', 'Poison', 'Ground', 'Dark', 'Fighting', 'Ghost', 'Dragon',\n",
            "       'Steel', 'Ice', 'Fairy', 'Flying'],\n",
            "      dtype='object')\n",
            "y1 [114 105  78  72  53  53  46  40  34  32  29  29  27  27  26  23  18   3]\n",
            "x2 Index(['Flying', 'Poison', 'Ground', 'Fairy', 'Psychic', 'Fighting', 'Steel',\n",
            "       'Grass', 'Dragon', 'Water', 'Dark', 'Ghost', 'Rock', 'Fire', 'Ice',\n",
            "       'Electric', 'Bug', 'Normal'],\n",
            "      dtype='object')\n",
            "y2 [95 32 32 29 29 25 23 19 18 17 17 16 14 11 11  8  5  4]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "xy1 = pd.DataFrame({'x1': x1, 'y1': y1})\n",
        "xy2 = pd.DataFrame({'x2':x2, 'y2': y2})\n",
        "print('xy1: ', xy1)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3L8P_FN9L15W",
        "outputId": "0715a2ce-5fa6-4f5c-eb3e-5ae67f0cb752"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "xy1:            x1   y1\n",
            "0      Water  114\n",
            "1     Normal  105\n",
            "2      Grass   78\n",
            "3        Bug   72\n",
            "4       Fire   53\n",
            "5    Psychic   53\n",
            "6       Rock   46\n",
            "7   Electric   40\n",
            "8     Poison   34\n",
            "9     Ground   32\n",
            "10      Dark   29\n",
            "11  Fighting   29\n",
            "12     Ghost   27\n",
            "13    Dragon   27\n",
            "14     Steel   26\n",
            "15       Ice   23\n",
            "16     Fairy   18\n",
            "17    Flying    3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "xy1.sort_values(by= ['x1'], inplace = True)\n",
        "xy2.sort_values(by= ['x2'], inplace = True)\n",
        "print()"
      ],
      "metadata": {
        "id": "b87pUq-1MnLP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.gridspec as gridspec"
      ],
      "metadata": {
        "id": "N9ke3mgVNEuy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.style.use('ggplot')\n",
        "plt.figure(figsize = (30, 7))\n",
        "\n",
        "gspec = gridspec.GridSpec(2, 2)\n",
        "tp = plt.subplot(gspec[0, 1])\n",
        "bt = plt.subplot(gspec[1, 1:])\n",
        "\n",
        "tp.bar(xy1.x1, xy1.y1)\n",
        "\n",
        "bt.bar(xy2.x2, xy2.y2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 446
        },
        "id": "TrqRNoXqMwS0",
        "outputId": "aa707e0b-8194-4810-d765-51b8caea3dd0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<BarContainer object of 18 artists>"
            ]
          },
          "metadata": {},
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x504 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.style.use('ggplot')\n",
        "plt.figure(figsize = (30, 7))\n",
        "\n",
        "gspec = gridspec.GridSpec(2, 2)\n",
        "tp = plt.subplot(gspec[0, 1])\n",
        "bt = plt.subplot(gspec[1, 1:])\n",
        "\n",
        "tp.bar(xy1.x1, xy1.y1)\n",
        "\n",
        "bt.bar(xy2.x2, xy2.y2)\n",
        "bt.invert_yaxis()\n",
        "\n",
        "bt.set_xticks([]) #보기 좋게 정렬\n",
        "plt.tight_layout() \n",
        "tp.set_title('Pokemon ')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 548
        },
        "id": "K32aEuLvNn95",
        "outputId": "a36dc591-b659-48ed-942b-063ca53129b2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Pokemon ')"
            ]
          },
          "metadata": {},
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x504 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.image as mpimg"
      ],
      "metadata": {
        "id": "LqijCenGPQZ5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "path = './images/images/'\n",
        "fig, ((ax1, ax2, ax3, ax4),(ax5, ax6, ax7, ax8)) = plt.subplots(2, 4, figsize = (12, 10)) \n",
        "ax = [ax1, ax2, ax3, ax4, ax5, ax6, ax7, ax8]\n",
        "\n",
        "for i in range(8):\n",
        "  img = mpimg.imread(path+df['Name'][i**3]+'.png')\n",
        "  ax[i].imshow(img)\n",
        "  ax[i].set_title(df['Name'][i**3])\n",
        "  ax[i].axis('off')\n",
        "\n",
        "plt.tight_layout()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 563
        },
        "id": "Zoe9TJfEOW2H",
        "outputId": "c63d6a84-5133-4c7b-802e-b6a9627b332a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "img_name = sorted(os.listdir(path))\n",
        "print('img_name: ', img_name)\n",
        "img_paths = []\n",
        "for i in img_name:\n",
        "  img_paths.append(path + i )\n",
        "\n",
        "print('img_paths: ', img_paths)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6nC_d_PwPuYS",
        "outputId": "83cf491c-adb2-434a-d8ec-4e9f9e74e8fb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "img_name:  ['abomasnow.png', 'abra.png', 'absol.png', 'accelgor.png', 'aegislash-blade.png', 'aerodactyl.png', 'aggron.png', 'aipom.png', 'alakazam.png', 'alomomola.png', 'altaria.png', 'amaura.png', 'ambipom.png', 'amoonguss.png', 'ampharos.png', 'anorith.png', 'araquanid.jpg', 'arbok.png', 'arcanine.png', 'arceus.png', 'archen.png', 'archeops.png', 'ariados.png', 'armaldo.png', 'aromatisse.png', 'aron.png', 'articuno.png', 'audino.png', 'aurorus.png', 'avalugg.png', 'axew.png', 'azelf.png', 'azumarill.png', 'azurill.png', 'bagon.png', 'baltoy.png', 'banette.png', 'barbaracle.png', 'barboach.png', 'basculin-red-striped.png', 'bastiodon.png', 'bayleef.png', 'beartic.png', 'beautifly.png', 'beedrill.png', 'beheeyem.png', 'beldum.png', 'bellossom.png', 'bellsprout.png', 'bergmite.png', 'bewear.jpg', 'bibarel.png', 'bidoof.png', 'binacle.png', 'bisharp.png', 'blacephalon.jpg', 'blastoise.png', 'blaziken.png', 'blissey.png', 'blitzle.png', 'boldore.png', 'bonsly.png', 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'./images/images/whismur.png', './images/images/wigglytuff.png', './images/images/wimpod.jpg', './images/images/wingull.png', './images/images/wishiwashi-solo.jpg', './images/images/wobbuffet.png', './images/images/woobat.png', './images/images/wooper.png', './images/images/wormadam-plant.png', './images/images/wurmple.png', './images/images/wynaut.png', './images/images/xatu.png', './images/images/xerneas.png', './images/images/xurkitree.jpg', './images/images/yamask.png', './images/images/yanma.png', './images/images/yanmega.png', './images/images/yungoos.jpg', './images/images/yveltal.png', './images/images/zangoose.png', './images/images/zapdos.png', './images/images/zebstrika.png', './images/images/zekrom.png', './images/images/zeraora.jpg', './images/images/zigzagoon.png', './images/images/zoroark.png', './images/images/zorua.png', './images/images/zubat.png', './images/images/zweilous.png', './images/images/zygarde-50.png']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2['filepath'] = img_paths\n",
        "df2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "UPQ08NQPQWIU",
        "outputId": "d443af52-d004-46c4-d9ee-88f6de449df2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                Name    Type1  Type2                             filepath\n",
              "459        abomasnow    Grass    Ice        ./images/images/abomasnow.png\n",
              "62              abra  Psychic    NaN             ./images/images/abra.png\n",
              "358            absol     Dark    NaN            ./images/images/absol.png\n",
              "616         accelgor      Bug    NaN         ./images/images/accelgor.png\n",
              "680  aegislash-blade    Steel  Ghost  ./images/images/aegislash-blade.png"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9775bc46-e5d8-400f-9482-44f708056d3d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Type1</th>\n",
              "      <th>Type2</th>\n",
              "      <th>filepath</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>459</th>\n",
              "      <td>abomasnow</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Ice</td>\n",
              "      <td>./images/images/abomasnow.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>abra</td>\n",
              "      <td>Psychic</td>\n",
              "      <td>NaN</td>\n",
              "      <td>./images/images/abra.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>358</th>\n",
              "      <td>absol</td>\n",
              "      <td>Dark</td>\n",
              "      <td>NaN</td>\n",
              "      <td>./images/images/absol.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>616</th>\n",
              "      <td>accelgor</td>\n",
              "      <td>Bug</td>\n",
              "      <td>NaN</td>\n",
              "      <td>./images/images/accelgor.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>680</th>\n",
              "      <td>aegislash-blade</td>\n",
              "      <td>Steel</td>\n",
              "      <td>Ghost</td>\n",
              "      <td>./images/images/aegislash-blade.png</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9775bc46-e5d8-400f-9482-44f708056d3d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9775bc46-e5d8-400f-9482-44f708056d3d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9775bc46-e5d8-400f-9482-44f708056d3d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "poke_type = []\n",
        "code = []\n",
        "\n",
        "for i in range(df2.shape[0]):\n",
        "  if (df2.iloc[i]['Type1'] == 'Grass') or (df2.iloc[i]['Type2']=='Grass'):\n",
        "    poke_type.append('Grass')\n",
        "    code.append(1)\n",
        "  elif (df2.iloc[i]['Type1'] == 'Water') or (df2.iloc[i]['Type2']=='Water'):\n",
        "    poke_type.append('Water')\n",
        "    code.append(2)\n",
        "  elif (df2.iloc[i]['Type1'] == 'Fire') or (df2.iloc[i]['Type2']=='Fire'):\n",
        "    poke_type.append('Fire')\n",
        "    code.append(3)\n",
        "  else:\n",
        "    poke_type.append('NaN') # not a number: 데이터 없음으로 많이 쓰임 \n",
        "    code.append('NaN')\n",
        "  \n",
        "print(poke_type)\n",
        "print(code)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SaCn-MjPQx_W",
        "outputId": "dc557f65-1f13-4356-d810-daa782a6b2b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Grass', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'Water', 'NaN', 'NaN', 'NaN', 'Grass', 'NaN', 'NaN', 'Water', 'NaN', 'Fire', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'Water', 'NaN', 'NaN', 'NaN', 'NaN', 'Water', 'Water', 'Water', 'NaN', 'Grass', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'Grass', 'Grass', 'NaN', 'NaN', 'Water', 'NaN', 'Water', 'NaN', 'Fire', 'Water', 'Fire', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'Grass', 'Fire', 'NaN', 'Grass', 'Water', 'NaN', 'NaN', 'Water', 'Grass', 'Water', 'Grass', 'NaN', 'NaN', 'NaN', 'NaN', 'NaN', 'Grass', 'Grass', 'Fire', 'NaN', 'Grass', 'Water', 'Water', 'NaN', 'NaN', 'NaN', 'Grass', 'NaN', 'Fire', 'NaN', 'Fire', 'NaN', 'Fire', 'Fire', 'NaN', 'Grass', 'Grass', 'Grass', 'Grass', 'Grass', 'Fire', 'NaN', 'Water', 'NaN', 'NaN', 'Water', 'Water', 'Water', 'NaN', 'NaN', 'NaN', 'NaN', 'Water', 'NaN', 'NaN', 'NaN', 'Fire', 'NaN', 'NaN', 'Water', 'Water', 'NaN', 'NaN', 'Grass', 'NaN', 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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2['Type'] = poke_type\n",
        "df2['code'] = code\n",
        "new_df = df2.drop(['Type1', 'Type2', 'Name'], axis= 1) # 열방향(y축)으로 제거 \n"
      ],
      "metadata": {
        "id": "BI1lmaI6R0IQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_df "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "j_rywCWJSZSJ",
        "outputId": "d5857ab7-93a8-46b1-f912-f89fd909b684"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                filepath   Type code\n",
              "459        ./images/images/abomasnow.png  Grass    1\n",
              "62              ./images/images/abra.png    NaN  NaN\n",
              "358            ./images/images/absol.png    NaN  NaN\n",
              "616         ./images/images/accelgor.png    NaN  NaN\n",
              "680  ./images/images/aegislash-blade.png    NaN  NaN\n",
              "..                                   ...    ...  ...\n",
              "570          ./images/images/zoroark.png    NaN  NaN\n",
              "569            ./images/images/zorua.png    NaN  NaN\n",
              "40             ./images/images/zubat.png    NaN  NaN\n",
              "633         ./images/images/zweilous.png    NaN  NaN\n",
              "717       ./images/images/zygarde-50.png    NaN  NaN\n",
              "\n",
              "[809 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bfd4b918-3a41-4054-a27f-9ffed51d2732\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>filepath</th>\n",
              "      <th>Type</th>\n",
              "      <th>code</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>459</th>\n",
              "      <td>./images/images/abomasnow.png</td>\n",
              "      <td>Grass</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>./images/images/abra.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>358</th>\n",
              "      <td>./images/images/absol.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>616</th>\n",
              "      <td>./images/images/accelgor.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>680</th>\n",
              "      <td>./images/images/aegislash-blade.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>570</th>\n",
              "      <td>./images/images/zoroark.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>569</th>\n",
              "      <td>./images/images/zorua.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>./images/images/zubat.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>633</th>\n",
              "      <td>./images/images/zweilous.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>717</th>\n",
              "      <td>./images/images/zygarde-50.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>809 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bfd4b918-3a41-4054-a27f-9ffed51d2732')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-bfd4b918-3a41-4054-a27f-9ffed51d2732 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-bfd4b918-3a41-4054-a27f-9ffed51d2732');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "fTelisK1Saj0",
        "outputId": "9af338fd-db6a-4106-8150-7aa0f8596f90"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                filepath   Type code\n",
              "459        ./images/images/abomasnow.png  Grass    1\n",
              "62              ./images/images/abra.png    NaN  NaN\n",
              "358            ./images/images/absol.png    NaN  NaN\n",
              "616         ./images/images/accelgor.png    NaN  NaN\n",
              "680  ./images/images/aegislash-blade.png    NaN  NaN"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0ce61a6e-5f15-45ad-9589-64243b777bed\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>filepath</th>\n",
              "      <th>Type</th>\n",
              "      <th>code</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>459</th>\n",
              "      <td>./images/images/abomasnow.png</td>\n",
              "      <td>Grass</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>./images/images/abra.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>358</th>\n",
              "      <td>./images/images/absol.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>616</th>\n",
              "      <td>./images/images/accelgor.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>680</th>\n",
              "      <td>./images/images/aegislash-blade.png</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0ce61a6e-5f15-45ad-9589-64243b777bed')\"\n",
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              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-0ce61a6e-5f15-45ad-9589-64243b777bed button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-0ce61a6e-5f15-45ad-9589-64243b777bed');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "idx_true = new_df['Type'] != 'NaN' # nan이 아니면 true, nan이면 false 넣는다\n",
        "print(idx_true)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9dD7lVvqSe9j",
        "outputId": "7af26a4f-a51c-458d-d81a-05df6091076d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "459     True\n",
            "62     False\n",
            "358    False\n",
            "616    False\n",
            "680    False\n",
            "       ...  \n",
            "570    False\n",
            "569    False\n",
            "40     False\n",
            "633    False\n",
            "717    False\n",
            "Name: Type, Length: 809, dtype: bool\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# idx_true 가 ture인 인덱스만 저장 \n",
        "new_df = new_df[idx_true] # 인덱싱을 통해 NaN이 아닌 부분만 가져오기 \n",
        "new_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "id": "I8goJyoLDLaJ",
        "outputId": "ebb4a02b-63f0-4c6c-ea05-4161a9288b85"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
            "  \n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                          filepath   Type code\n",
              "459  ./images/images/abomasnow.png  Grass    1\n",
              "593  ./images/images/alomomola.png  Water    2\n",
              "590  ./images/images/amoonguss.png  Grass    1\n",
              "751  ./images/images/araquanid.jpg  Water    2\n",
              "58    ./images/images/arcanine.png   Fire    3"
            ],
            "text/html": [
              "\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>filepath</th>\n",
              "      <th>Type</th>\n",
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              "      <th>459</th>\n",
              "      <td>./images/images/abomasnow.png</td>\n",
              "      <td>Grass</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>593</th>\n",
              "      <td>./images/images/alomomola.png</td>\n",
              "      <td>Water</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>590</th>\n",
              "      <td>./images/images/amoonguss.png</td>\n",
              "      <td>Grass</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>751</th>\n",
              "      <td>./images/images/araquanid.jpg</td>\n",
              "      <td>Water</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>./images/images/arcanine.png</td>\n",
              "      <td>Fire</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9af91f8b-8a52-4628-abb3-dbf4e4759549 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9af91f8b-8a52-4628-abb3-dbf4e4759549');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type_ = new_df['Type'].tolist()\n",
        "\n",
        "plt.figure(figsize = (14, 6))\n",
        "\n",
        "sns.countplot(x = type_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "id": "l74vB6P0ENxY",
        "outputId": "3bc60305-2444-46bf-89c5-38e65b193488"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f09d7040bd0>"
            ]
          },
          "metadata": {},
          "execution_count": 66
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0YAAAFlCAYAAADPg/ipAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAcgUlEQVR4nO3df5BV9X3/8ddlNxCB4ccuYFyBMaBINaBVaAwmgeC2aYNJnCS1zQ8bpI5RWtKx1vojE9uZxLpGEAajptMoUMnEpJOKqU3TzA4DGUO1q4gCphgbJmKx5cciv8kCu98/Mu7IV4yrYfcu+3k8/uKccw/3ff+4Z/e559xzKx0dHR0BAAAoWL9qDwAAAFBtwggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAildb7QFOpK1bt1Z7BAAAoJdqaGh4w23OGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMWrrfYAACez2cv+o9ojwElr6effV+0RADo5YwQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPFqe+JJ7r333qxduzZDhw7NggULkiQPPvhgnnrqqdTW1ubUU0/N3LlzM2jQoCTJww8/nJUrV6Zfv3658sorc/755/fEmAAAQKF65IzRjBkzcssttxyzbvLkyVmwYEHmz5+f0047LQ8//HCS5KWXXsqaNWty11135Utf+lLuv//+tLe398SYAABAoXokjM4555wMHjz4mHXnnXdeampqkiQTJkxIa2trkqSlpSXTpk3LO97xjowaNSrvete78sILL/TEmAAAQKF6xWeMVq5c2Xm5XGtra+rr6zu31dXVdUYTAABAd+iRzxj9Ov/8z/+cmpqafOADH3jL+zY3N6e5uTlJ0tTUlBEjRpzo8QCAbuLnNtCbVDWMVq1alaeeeiq33nprKpVKkl+dIdq5c2fnY1pbW1NXV3fc/RsbG9PY2Ni5vGPHju4dGAA4YfzcBnpaQ0PDG26r2qV069atyyOPPJIbb7wxAwYM6Fw/ZcqUrFmzJocPH862bdvy8ssv58wzz6zWmAAAQAF65IzRokWL8txzz2Xv3r255pprcvnll+fhhx/OkSNH8pWvfCVJctZZZ+Xqq6/OmDFj8r73vS9/+Zd/mX79+uVP//RP069fr/goFAAA0EdVOjo6Oqo9xImydevWao8AFGb2sv+o9ghw0lr6+fdVewSgML3yUjoAAIDeQhgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFC82p54knvvvTdr167N0KFDs2DBgiTJvn37snDhwmzfvj0jR47Mddddl8GDB6ejoyNLlizJ008/nQEDBmTu3LkZN25cT4wJAAAUqkfOGM2YMSO33HLLMetWrFiRSZMmZfHixZk0aVJWrFiRJHn66afzv//7v1m8eHGuvvrqfPOb3+yJEQEAgIL1SBidc845GTx48DHrWlpaMn369CTJ9OnT09LSkiR58skn88EPfjCVSiUTJkzI/v37s2vXrp4YEwAAKFSPXEp3PLt3787w4cOTJMOGDcvu3buTJK2trRkxYkTn4+rr69Pa2tr52Ndqbm5Oc3NzkqSpqemY/QCA3s3PbaA3qVoYvValUkmlUnnL+zU2NqaxsbFzeceOHSdyLACgG/m5DfS0hoaGN9xWtbvSDR06tPMSuV27dmXIkCFJkrq6umMOlDt37kxdXV1VZgQAAMpQtTCaMmVKVq9enSRZvXp1pk6d2rn+xz/+cTo6OvL8889n4MCBx72MDgAA4ETpkUvpFi1alOeeey579+7NNddck8svvzyXXXZZFi5cmJUrV3berjtJfvu3fztr167NF7/4xfTv3z9z587tiREBAICCVTo6OjqqPcSJsnXr1mqPABRm9rL/qPYIcNJa+vn3VXsEoDC98jNGAAAAvUWvuCvdyeTlG66q9ghwUjvtTl/aDAD0Ps4YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxaut9gCPPvpoVq5cmUqlkjFjxmTu3Ll55ZVXsmjRouzduzfjxo3LvHnzUltb9VEBAIA+qqpnjFpbW/Nv//ZvaWpqyoIFC9Le3p41a9Zk+fLlmTVrVu6+++4MGjQoK1eurOaYAABAH1f1S+na29vT1taWo0ePpq2tLcOGDcvGjRtz0UUXJUlmzJiRlpaWKk8JAAD0ZVW9Pq2uri4f/ehHc+2116Z///4577zzMm7cuAwcODA1NTWdj2ltba3mmAAAQB9X1TDat29fWlpacs8992TgwIG56667sm7dui7v39zcnObm5iRJU1NTRowY0V2jdnq5258B+raeeJ8CJwfHA6A3qWoYrV+/PqNGjcqQIUOSJO9973uzadOmHDhwIEePHk1NTU1aW1tTV1d33P0bGxvT2NjYubxjx44emRt4+7xPgVc5HgA9raGh4Q23VfUzRiNGjMjPfvaz/PKXv0xHR0fWr1+f0aNH59xzz83jjz+eJFm1alWmTJlSzTEBAIA+rqpnjM4666xcdNFFufHGG1NTU5MzzjgjjY2NueCCC7Jo0aI89NBDefe7352ZM2dWc0wAAKCPq/qXA11++eW5/PLLj1l36qmn5vbbb6/SRAAAQGmqfrtuAACAahNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAULwuh9H3v//9465/9NFHT9gwAAAA1dDlMPre9773ltYDAACcLGrf7AEbNmxIkrS3t3f++1X/93//l1NOOaV7JgMAAOghbxpG9913X5Kkra2t899JUqlUMmzYsMyZM6f7pgMAAOgBbxpG99xzT5Lk61//ev78z/+82wcCAADoaW8aRq96bRS1t7cfs61fPze3AwAATl5dDqOf//znuf/++/Piiy+mra3tmG3f+c53TvhgAAAAPaXLYXTPPffkwgsvzLXXXpsBAwZ050wAAAA9qsthtGPHjnz6059OpVLpznkAAAB6XJc/HDR16tQ888wz3TkLAABAVXT5jNHhw4czf/78TJw4McOGDTtmm7vVAQAAJ7Muh9Ho0aMzevTo7pwFAACgKrocRn/4h3/YnXMAAABUTZfDaMOGDW+47T3vec8JGQYAAKAauhxG99133zHLe/bsyZEjR1JfX5+vf/3rJ3wwAACAnvKWvsfotdrb2/O9730vp5xyygkfCgAAoCd1+Xbdr9uxX7984hOfyCOPPHIi5wEAAOhxbzuMkuTZZ59Nv36/0X8BAABQdV2+lO7aa689ZrmtrS1tbW256qqrTvhQAAAAPanLYTRv3rxjlgcMGJDTTjstAwcOPOFDAQAA9KQuh9E555yT5Fc3Xdi9e3eGDh3qMjoAAKBP6HIYHTx4MPfff3/WrFmTo0ePpqamJtOmTcucOXOcNQIAAE5qXT7l88ADD+TQoUOZP39+li9fnvnz56etrS0PPPBAd84HAADQ7bocRuvWrcu8efPS0NCQd7zjHWloaMjcuXPzzDPPdOd8AAAA3a7LYdS/f//s2bPnmHV79uxJbW2Xr8YDAADolbpcNTNnzsxXv/rVzJo1KyNHjsz27dvzr//6r7nkkku6cz4AgJPCv3//5WqPACetD3/stGqP0PUw+sQnPpG6uro89thjaW1tTV1dXT7+8Y9n5syZ3TkfAABAt+tyGC1ZsiQXX3xxvvzlL3eu27RpU5YuXZrZs2d3x2wAAAA9osufMfrJT36S8ePHH7Nu3Lhxeeyxx074UAAAAD2py2eMKpVK2tvbj1nX3t6ejo6O32iA/fv35xvf+Ea2bNmSSqWSa6+9Ng0NDVm4cGG2b9+ekSNH5rrrrsvgwYN/o+cBAAB4I10+YzRx4sQ89NBDnXHU3t6ef/qnf8rEiRN/owGWLFmS888/P4sWLcqdd96Z008/PStWrMikSZOyePHiTJo0KStWrPiNngMAAODX6XIYXXnllVm/fn2+8IUv5Oabb84XvvCFPPvss5kzZ87bfvIDBw7kpz/9aecNHGprazNo0KC0tLRk+vTpSZLp06enpaXlbT8HAADAm+nypXT19fW544478sILL2Tnzp2pr6/PmWeemX79utxWr7Nt27YMGTIk9957b37xi19k3LhxmT17dnbv3p3hw4cnSYYNG5bdu3cfd//m5uY0NzcnSZqamjJixIi3PUtXuREn/GZ64n0KnBz63vHAbwnwdvWG48Fb+nbWfv36ZcKECSfsyY8ePZrNmzdnzpw5Oeuss7JkyZLXXTZXqVRSqVSOu39jY2MaGxs7l3fs2HHCZgO6h/cp8CrHA+BVPXU8aGhoeMNtb/90zwlQX1+f+vr6nHXWWUmSiy66KJs3b87QoUOza9euJMmuXbsyZMiQao4JAAD0cVUNo2HDhqW+vj5bt25Nkqxfvz6jR4/OlClTsnr16iTJ6tWrM3Xq1GqOCQAA9HFv6VK67jBnzpwsXrw4R44cyahRozJ37tx0dHRk4cKFWblyZeftugEAALpL1cPojDPOSFNT0+vW33rrrVWYBgAAKFFVL6UDAADoDYQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUTxgBAADFE0YAAEDxhBEAAFA8YQQAABRPGAEAAMUTRgAAQPGEEQAAUDxhBAAAFE8YAQAAxRNGAABA8YQRAABQPGEEAAAUr7baAyRJe3t7brrpptTV1eWmm27Ktm3bsmjRouzduzfjxo3LvHnzUlvbK0YFAAD6oF5xxugHP/hBTj/99M7l5cuXZ9asWbn77rszaNCgrFy5sorTAQAAfV3Vw2jnzp1Zu3ZtLrnkkiRJR0dHNm7cmIsuuihJMmPGjLS0tFRzRAAAoI+rehgtXbo0n/vc51KpVJIke/fuzcCBA1NTU5MkqaurS2trazVHBAAA+riqfnDnqaeeytChQzNu3Lhs3LjxLe/f3Nyc5ubmJElTU1NGjBhxokd8nZe7/Rmgb+uJ9ylwcuh7xwO/JcDb1RuOB1UNo02bNuXJJ5/M008/nba2thw8eDBLly7NgQMHcvTo0dTU1KS1tTV1dXXH3b+xsTGNjY2dyzt27Oip0YG3yfsUeJXjAfCqnjoeNDQ0vOG2qobRZz7zmXzmM59JkmzcuDH/8i//ki9+8Yu566678vjjj+fiiy/OqlWrMmXKlGqOCQAA9HFV/4zR8Xz2s5/No48+mnnz5mXfvn2ZOXNmtUcCAAD6sF7z5UDnnntuzj333CTJqaeemttvv73KEwEAAKXolWeMAAAAepIwAgAAiieMAACA4gkjAACgeMIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAiieMAACA4gkjAACgeMIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAiieMAACA4gkjAACgeMIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAiieMAACA4gkjAACgeLXVfPIdO3bknnvuySuvvJJKpZLGxsZ85CMfyb59+7Jw4cJs3749I0eOzHXXXZfBgwdXc1QAAKAPq2oY1dTU5Iorrsi4ceNy8ODB3HTTTZk8eXJWrVqVSZMm5bLLLsuKFSuyYsWKfO5zn6vmqAAAQB9W1Uvphg8fnnHjxiVJTjnllJx++ulpbW1NS0tLpk+fniSZPn16WlpaqjkmAADQx1X1jNFrbdu2LZs3b86ZZ56Z3bt3Z/jw4UmSYcOGZffu3cfdp7m5Oc3NzUmSpqamjBgxotvnfLnbnwH6tp54nwInh753PPBbArxdveF40CvC6NChQ1mwYEFmz56dgQMHHrOtUqmkUqkcd7/GxsY0NjZ2Lu/YsaNb5wR+c96nwKscD4BX9dTxoKGh4Q23Vf2udEeOHMmCBQvygQ98IO9973uTJEOHDs2uXbuSJLt27cqQIUOqOSIAANDHVTWMOjo68o1vfCOnn356Lr300s71U6ZMyerVq5Mkq1evztSpU6s1IgAAUICqXkq3adOm/PjHP87YsWNzww03JEk+/elP57LLLsvChQuzcuXKztt1AwAAdJeqhtHEiRPz3e9+97jbbr311h6eBgAAKFXVP2MEAABQbcIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAiieMAACA4gkjAACgeMIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAiieMAACA4gkjAACgeMIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACieMAIAAIonjAAAgOIJIwAAoHjCCAAAKJ4wAgAAiieMAACA4gkjAACgeMIIAAAonjACAACKV1vtAX6ddevWZcmSJWlvb88ll1ySyy67rNojAQAAfVCvPWPU3t6e+++/P7fccksWLlyYn/zkJ3nppZeqPRYAANAH9doweuGFF/Kud70rp556amprazNt2rS0tLRUeywAAKAP6rVh1Nramvr6+s7l+vr6tLa2VnEiAACgr+rVnzF6M83NzWlubk6SNDU1paGhodufs+FbP+j25wBOHj+6+ZPVHgHoJa68pvt/DwG6T689Y1RXV5edO3d2Lu/cuTN1dXXHPKaxsTFNTU1pamrq6fHopW666aZqjwD0Io4JwKscD3gzvTaMxo8fn5dffjnbtm3LkSNHsmbNmkyZMqXaYwEAAH1Qr72UrqamJnPmzMltt92W9vb2fOhDH8qYMWOqPRYAANAH9dowSpILLrggF1xwQbXH4CTS2NhY7RGAXsQxAXiV4wFvptLR0dFR7SEAAACqqdd+xggAAKCn9OpL6eCVV17JsmXL8rOf/SyDBg1KbW1tPv7xj+d3fud3qj0a0EOWLl2akSNHZtasWUmS2267LfX19bnmmmuSJP/4j/+Yurq6XHrppa/bd9WqVZk8efLr7moK9D1/9Ed/lLFjx3Yu33DDDVm8eHG++tWvVnEqTibCiF6ro6Mjd955Z6ZPn56/+Iu/SJJs3749Tz755DGPO3r0aGpqaqoxItADJk6cmDVr1mTWrFlpb2/Pnj17cuDAgc7tmzZtyuc///nj7rtq1aqMGTPmLYWRYwqcnPr3758777zzmHXHiyLvcd6IMKLX2rBhQ2pra/N7v/d7netGjhyZP/iDP8iqVavyxBNP5NChQ2lvb8/NN9+cr33ta9m/f3+OHDmSP/7jP87UqVNz6NChLFy4MK2trWlvb88nP/nJTJs2Ld/61rfy5JNPpqamJpMnT86f/MmfVPGVAr/OhAkTsmzZsiTJSy+9lDFjxuSVV17Jvn37MmDAgPzP//xPnn322SxZsiRtbW2ZMGFCrr766jzxxBP57//+7yxevDj9+/fPbbfdlpdeeinLli3LoUOHMmTIkMydOzfDhw/P3/7t3+aMM87If/3Xf+Xiiy/ORz/60Sq/auBEuOKKK/Lggw9m48aN+c53vpNBgwZl69atWbhwYb71rW/lueeey+HDh/PhD384v/u7v1vtcakyYUSvtWXLlrz73e9+w+2bN2/O/PnzM3jw4Bw9ejR/9Vd/lYEDB2bPnj350pe+lClTpmTdunUZPnx4br755iTJgQMHsnfv3vznf/5nFi1alEqlkv379/fUSwLehrq6uvTr1y87duzIpk2bMmHChLS2tub555/PwIEDM3bs2Pz+7/9+PvWpTyVJ7r777jz11FO56KKL8sMf/jBXXHFFxo8fnyNHjuSBBx7IX//1X2fIkCFZs2ZNvv3tb2fu3LlJkiNHjvjCcDiJtbW15YYbbkiSjBo1qvPfr9q8eXMWLFiQUaNGpbm5OQMHDsztt9+ew4cP58tf/nLOO++8jBo1qhqj00sII04a3/zmN7Np06bU1tbmwx/+cCZPnpzBgwcn+dVld9/+9rfz05/+NJVKJa2trdm9e3fGjh2bBx98MMuXL8+FF16Y3/qt38rRo0fTv3//3Hfffbnwwgtz4YUXVvmVAW/m7LPPzqZNm7Jp06Zceumlx4TR2WefnQ0bNuT73/9+fvnLX2bfvn0ZM2bM674UfOvWrdmyZUu+8pWvJEna29szfPjwzu3Tpk3r0dcEnFjHu5Tutc4888zO8HnmmWfy4osv5vHHH0/yqz+cvvzyy8KocMKIXmvMmDF54oknOpevuuqq7Nmzp/Psz4ABAzq3PfbYY9mzZ0+amppSW1ubP/uzP0tbW1saGhpyxx13ZO3atXnooYcyadKkfOpTn8rf/d3fZf369Xn88cfzwx/+MH/zN3/T468P6LpXw2jLli0ZO3ZsRowYkUcffTSnnHJKPvShD+Xv//7vc/vtt2fEiBH57ne/m7a2tuP+P6NHj85tt9123G2vPaYAfc9r3+MdHR258sorc/7551dxInobt+um13rPe96Tw4cP50c/+lHnujf6ZefAgQMZOnRoamtrs2HDhmzfvj1J0tramv79++eDH/xgPvaxj+XnP/95Dh06lAMHDuSCCy7I7Nmz84tf/KJHXg/w9p199tlZu3ZtBg8enH79+mXw4MHZv39/nn/++UyYMCFJMmTIkBw6dOiYP6i8853vzMGDB5MkDQ0N2bNnT55//vkkv7p0bsuWLT3/YoCqO//88/OjH/0oR44cSfKrM8qHDh2q8lRUmzNG9FqVSiU33HBDli1blkceeSRDhgzJO9/5znz2s599XSC9//3vzx133JHrr78+48ePz+mnn54kefHFF7N8+fJUKpXU1tbmqquuysGDB/O1r30thw8fTkdHhxsvwElg7Nix2bt3b97//vcfs+7Vmyhccskluf766zNs2LCMHz++8zEzZszIP/zDP3TefOH666/PkiVLcuDAgRw9ejQf+chHMmbMmGq8JKCKZs6cmW3btuXGG29M8qs/rPz/n0miPJWOjo6Oag8BAABQTS6lAwAAiieMAACA4gkjAACgeMIIAAAonjACAACKJ4wAAIDiCSMAAKB4wggAACje/wOpuoeFNJsF4QAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 데이터 augmentation \n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "train_datagen = ImageDataGenerator(\n",
        "    rescale = 1./255,\n",
        "    rotation_range = 40, \n",
        "    width_shift_range = 0.2,\n",
        "    height_shift_range = 0.2,\n",
        "    shear_range = .2,\n",
        "    zoom_range = 0.2, \n",
        "    horizontal_flip = True, \n",
        "    fill_mode = 'nearest',\n",
        "    validation_split = 0.1\n",
        ")"
      ],
      "metadata": {
        "id": "VB2rFwpnFWNv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_generator = train_datagen.flow_from_dataframe(\n",
        "    new_df,\n",
        "    x_col = 'filepath', y_col = 'Type',\n",
        "    target_size = (120, 120),\n",
        "    color_mode = 'rgba', # rgb +  alpha(불투명도)\n",
        "    class_mode = 'categorical',\n",
        "    batch_size = 32 \n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l4np0enfGQZX",
        "outputId": "25f6d6b8-1d33-4bf0-922d-ab95222949f7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 288 validated image filenames belonging to 3 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "validation_generator = train_datagen.flow_from_dataframe(\n",
        "    new_df,\n",
        "    x_col = 'filepath', y_col = 'Type',\n",
        "    target_size = (120, 120),\n",
        "    color_mode = 'rgba', # rgb +  alpha(불투명도)\n",
        "    class_mode = 'categorical',\n",
        "    batch_size = 4,\n",
        "    shuffle = True,\n",
        "    seed = 1,\n",
        "    subet = 'validation' \n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H51oyOTjLVlo",
        "outputId": "5ea9e843-06a4-487b-f890-24b7b1904e2e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 288 validated image filenames belonging to 3 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "image_sample = train_generator.next()[0]\n",
        "\n",
        "plt.figure(figsize = (10, 10))\n",
        "\n",
        "for i in range(9):\n",
        "  plt.subplot(3, 3, i+1)\n",
        "  plt.imshow(image_sample[i, :, :])\n",
        "  plt.axis('off')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "mn65q5axG_jF",
        "outputId": "ca886722-30ee-400e-e48c-f8d627e8bb30"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow.keras as ks\n"
      ],
      "metadata": {
        "id": "mWFyrr4VLk-g"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#model \n",
        "model = ks.models.Sequential()\n",
        "#입력층\n",
        "model.add(ks.layers.Dense(4, input_shape = (120, 120, 4)))\n",
        "# hidden layer\n",
        "model.add(ks.layers.Conv2D(64, (7, 7), activation = 'relu'))\n",
        "model.add(ks.layers.MaxPooling2D((2, 2)))\n",
        "model.add(ks.layers.Conv2D(128, (7, 7), activation = 'relu'))\n",
        "model.add(ks.layers.MaxPooling2D((2, 2)))\n",
        "model.add(ks.layers.Conv2D(256, (7, 7), activation = 'relu'))\n",
        "model.add(ks.layers.MaxPooling2D((2, 2)))\n",
        "model.add(ks.layers.Conv2D(512, (7, 7), activation = 'relu'))\n",
        "model.add(ks.layers.MaxPooling2D((2, 2)))\n",
        "model.add(ks.layers.Flatten())\n",
        "model.add(ks.layers.Dense(1024, activation = 'relu'))\n",
        "# 출력층\n",
        "model.add(ks.layers.Dense(3, activation = 'Softmax'))\n",
        "\n",
        "model.compile(optimizer = 'adam', loss = 'categorical_crossentropy', metrics = ['acc'])\n",
        "model.summary()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ir-_ZJrmLu4T",
        "outputId": "e8c97369-3436-477d-ce37-0313f68bdd5c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense_3 (Dense)             (None, 120, 120, 4)       20        \n",
            "                                                                 \n",
            " conv2d_4 (Conv2D)           (None, 114, 114, 64)      12608     \n",
            "                                                                 \n",
            " max_pooling2d_4 (MaxPooling  (None, 57, 57, 64)       0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " conv2d_5 (Conv2D)           (None, 51, 51, 128)       401536    \n",
            "                                                                 \n",
            " max_pooling2d_5 (MaxPooling  (None, 25, 25, 128)      0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " conv2d_6 (Conv2D)           (None, 19, 19, 256)       1605888   \n",
            "                                                                 \n",
            " max_pooling2d_6 (MaxPooling  (None, 9, 9, 256)        0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " conv2d_7 (Conv2D)           (None, 3, 3, 512)         6423040   \n",
            "                                                                 \n",
            " max_pooling2d_7 (MaxPooling  (None, 1, 1, 512)        0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " flatten_1 (Flatten)         (None, 512)               0         \n",
            "                                                                 \n",
            " dense_4 (Dense)             (None, 1024)              525312    \n",
            "                                                                 \n",
            " dense_5 (Dense)             (None, 3)                 3075      \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 8,971,479\n",
            "Trainable params: 8,971,479\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.layers "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nowpc-riOffI",
        "outputId": "536cac55-934f-44c3-8d56-a5b7b852b916"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<keras.layers.core.dense.Dense at 0x7f096bd22210>,\n",
              " <keras.layers.core.dense.Dense at 0x7f096bd22890>]"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# callback to stop training 일정 정확도가 도달했을 때\n",
        "class myCallback(ks.callbacks.Callback):\n",
        "  def on_epoch_end(self, epoch, logs = {}):\n",
        "    if ((logs.get('acc')>0.7) and (logs.get('val_acc')>0.7)):\n",
        "      print(\"\\n reached 70% accuracy so stoppng training \")\n",
        "      self.model.stop_training = True \n",
        "callbacks = myCallback()"
      ],
      "metadata": {
        "id": "VjWJ1FeoOhtF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "history = model.fit(train_generator, validation_data = validation_generator, batch_size = 20, epochs = 10, \n",
        "                    callbacks = [ks.callbacks.ReduceLROnPlateau(),\n",
        "                                 callbacks]\n",
        "                    )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9pU8ARrKPmJ2",
        "outputId": "46d3ed59-a47c-4760-ebbe-55b7395676dd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 1.4047 - acc: 0.4028 - val_loss: 0.9628 - val_acc: 0.4444 - lr: 0.0010\n",
            "Epoch 2/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 1.0280 - acc: 0.4444 - val_loss: 0.9981 - val_acc: 0.4444 - lr: 0.0010\n",
            "Epoch 3/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 1.0297 - acc: 0.4479 - val_loss: 0.9314 - val_acc: 0.5486 - lr: 0.0010\n",
            "Epoch 4/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 0.9776 - acc: 0.5764 - val_loss: 0.9245 - val_acc: 0.5556 - lr: 0.0010\n",
            "Epoch 5/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 0.9100 - acc: 0.5660 - val_loss: 0.8710 - val_acc: 0.5486 - lr: 0.0010\n",
            "Epoch 6/10\n",
            "9/9 [==============================] - 66s 8s/step - loss: 0.8850 - acc: 0.6076 - val_loss: 0.8576 - val_acc: 0.6285 - lr: 0.0010\n",
            "Epoch 7/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 0.8313 - acc: 0.6354 - val_loss: 0.8275 - val_acc: 0.6007 - lr: 0.0010\n",
            "Epoch 8/10\n",
            "9/9 [==============================] - 66s 8s/step - loss: 0.8232 - acc: 0.6181 - val_loss: 0.7921 - val_acc: 0.6701 - lr: 0.0010\n",
            "Epoch 9/10\n",
            "9/9 [==============================] - 67s 8s/step - loss: 0.8287 - acc: 0.6389 - val_loss: 0.7676 - val_acc: 0.6597 - lr: 0.0010\n",
            "Epoch 10/10\n",
            "9/9 [==============================] - 66s 8s/step - loss: 0.7522 - acc: 0.6944 - val_loss: 0.7651 - val_acc: 0.6528 - lr: 0.0010\n"
          ]
        }
      ]
    }
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