大菌輪CCCのつかいかた　その2 同定編 How to use Daikinrin CCC dataset (identification)

how_to_use_daikinrin_ccc_2.ipynb

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   "cell_type": "markdown",
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    "collapsed": true
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   "source": [
    "<h1>大菌輪_CCCデータセット：同定ツール</h1><br>\n",
    "<strong>（daikinrin_CCC_dataset_version1.2を使用）</strong><br>\n",
    "2017/2/21更新<br>\n",
    "<br>\n",
    "以下の解析を再現するには、jupyterと必要に応じて各種ライブラリ (pandas、NumPyなど) のインストールが必要です。<br>\n",
    "準備の仕方や基本操作に関してはweb上に多数の資料があるので、そちらを参照ください。<br><br>\n",
    "※注1：筆者はプログラミング初心者かつ独学なので、もっとよいやり方があるかもしれません。あくまで参考ということでお願いいたします。<br>\n",
    "※注2：以下でご紹介する方法はたぶん全てExcelでも代替できます。コードの読み方が分からない方も、「CCCデータセットを加工するとこんなことができる」という例としてご参考にしていただけます。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>下の写真のきのこを同定してみます</h2>\n",
    "<br>\n",
    "傘が緑色で表面に細かい鱗片があり、ひだが褐色で、柄表面にも細かい鱗片があることなどが特徴です。<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://mushroomobserver.org/images/1280/379798.jpg\" width=400>\n",
    "Copyright © 2013 Caleb Brown<br>\n",
    "(CC-BY-SA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Atsushi Nakajima\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2717: DtypeWarning: Columns (257,263) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "%matplotlib inline\n",
    "df = pd.read_csv(\"C:\\\\Users\\\\Atsushi Nakajima\\\\Dropbox\\\\大菌輪_CCC\\\\daikinrin_CCC_dataset_version1.2\\\\basidiomycota_daikinrin_ccc_ver._1.2_for_informal_or_mining_use_only.csv\")\n",
    "dfccc = pd.read_csv(\"C:\\\\Users\\\\Atsushi Nakajima\\\\Dropbox\\\\大菌輪_CCC\\\\daikinrin_CCC_dataset_version1.2\\\\ccclist_daikinrin_ccc_ver._1.2_for_informal_or_mining_use_only.csv\")\n",
    "cccdict = dict(zip(dfccc[\"CCC_JP\"],\"<\"+dfccc[\"CCC\"]+\">\"))\n",
    "cccdictr = {v:k for k, v in cccdict.items()}\n",
    "ccclist = list(dfccc[\"CCC\"])\n",
    "cccjplist = [cccdictr[a] for a in df.columns[5:] if cccdictr.get(a) != None]\n",
    "cccjplist.insert(0, \"-------------------\")\n",
    "from ipywidgets import *\n",
    "CCCselects = [Dropdown(description=\"CCC\"+str(i+1), options=cccjplist) for i in range(6)]\n",
    "VBox([HBox([CCCselects[0], CCCselects[1], CCCselects[2]]), HBox([CCCselects[3], CCCselects[4], CCCselects[5]])])\n",
    "#↓実行するとボタンが表示されます"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['<pileus_color=greenish>', '<hymenophore=lamellate>', '<pileus_surface=scaly>', '<hymenophore_color=brownish>', '<stipe_surface=scaly>']\n",
      "1994件の記載文を絞り込み\n",
      "<pileus_color=greenish> 87属hit!!\n",
      "1735件の記載文を絞り込み\n",
      "<hymenophore=lamellate> 60属hit!!\n",
      "1500件の記載文を絞り込み\n",
      "<pileus_surface=scaly> 32属hit!!\n",
      "1496件の記載文を絞り込み\n",
      "<hymenophore_color=brownish> 31属hit!!\n",
      "1219件の記載文を絞り込み\n",
      "<stipe_surface=scaly> 25属hit!!\n"
     ]
    }
   ],
   "source": [
    "#ドロップダウンメニューから値を取得し、CCCを辞書で英語に変換\n",
    "#今回は「傘_色_緑」「子実層托_型_襞」「傘_表面_鱗片」「子実層托_色_褐」「柄_表面_鱗片」の5つを選択しました\n",
    "cccs = [cccdict[CCCselects[i].value] for i in range(len(CCCselects)) if CCCselects[i].value != \"-------------------\"]\n",
    "print(cccs)\n",
    "if len(cccs) == 0:\n",
    "    print(\"何も選択されていないので終了します。\")\n",
    "    sys.exit()\n",
    "#属名の列を追加して重複除去属名リストからなるデータフレームを作成\n",
    "df[\"genus\"] = [a[0] for a in df[\"学名\"].str.split(\" \")]\n",
    "resultdf = pd.DataFrame()\n",
    "for ccc in cccs:\n",
    "    buf =[]\n",
    "    for a in sorted(set(list(df[\"genus\"]))):\n",
    "        genusdf = df[df[\"genus\"]==a]\n",
    "        genuscnt = genusdf.shape[0]\n",
    "        genusdfn = df[df[\"genus\"]!=a]\n",
    "        ariari = genusdf[~genusdf[ccc].str.contains(\"【0】\")].shape[0]\n",
    "        #ariariが1以上（ヒットあり）のみ絞り込み\n",
    "        if ariari != 0:\n",
    "            arinasi = genusdf.shape[0]-ariari\n",
    "            nasiari = genusdfn[~genusdfn[ccc].str.contains(\"【0】\")].shape[0]\n",
    "            nasinasi = genusdfn.shape[0]-nasiari\n",
    "            se = round(ariari/(ariari+arinasi),2)\n",
    "            sp = round(nasinasi/(nasiari+nasinasi),2)\n",
    "            if sp == 1:\n",
    "                sp = 0.99\n",
    "            logpLR = round(np.log(se/(1-sp)),2)\n",
    "            buf.append([a,logpLR,genuscnt])\n",
    "            #陽性尤度比の対数をとったもの（logpLR）を足し合わせます\n",
    "            #print(ccc,a,ariari,arinasi,nasiari,nasinasi,se,sp,logpLR)\n",
    "    df2 = pd.DataFrame(buf)\n",
    "    df2.columns = [\"genus\",\"logpLR\",\"genuscnt\"]\n",
    "    #print(len(df2[\"genus\"]),df2[\"genus\"])\n",
    "    #df2にある属のみを残す\n",
    "    df = df[df[\"genus\"].isin(df2[\"genus\"])]\n",
    "    print(str(df.shape[0])+\"件の記載文を絞り込み\")\n",
    "    if resultdf.shape[0] == 0:\n",
    "        resultdf = df2\n",
    "    else:\n",
    "        #古いdf2を基にして左外部結合\n",
    "        resultdf = pd.merge(df2,resultdf,left_on=\"genus\",right_on=\"genus\",how=\"left\")\n",
    "        #pLRを足し合わせて元の2列をdropする\n",
    "        resultdf[\"logpLR\"] = resultdf[\"logpLR_x\"]+resultdf[\"logpLR_y\"]\n",
    "        resultdf = resultdf.drop([\"logpLR_x\",\"logpLR_y\"],axis=1)\n",
    "    print(ccc+\" \"+str(resultdf.shape[0])+\"属hit!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
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   "outputs": [
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38fPzUx6GnjBhAklJSWXuf/drCgwM5M8//2Tt2rU0a9YMExMTbt68yZYtWyocV0ZGruq+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\n53nOjVOHDh305Zdfav369YqJiZGDg0PNu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      "text/plain": [
       "<matplotlib.figure.Figure at 0x22250c69b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#重複したgenuscntの列を削除\n",
    "resultdf = resultdf.T.drop_duplicates().T\n",
    "sns.set(font_scale=1.2)\n",
    "resultdf.index = resultdf[\"genus\"]\n",
    "resultdf = resultdf.sort_values(\"logpLR\",ascending=False)\n",
    "resultdf[:30][\"logpLR\"].plot.barh().invert_yaxis()\n",
    "plt.xlabel(\"logpLR\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#上の図で一番値が大きかったStropharia（モエギタケ属）を調べてみます\n",
    "genusselect = Dropdown(description=\"属内の種をさらに絞り込み\", options=list(resultdf[:30][\"genus\"]))\n",
    "genusselect\n",
    "#↓実行するとボタンが表示されます"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <style  type=\"text/css\" >\n",
       "        \n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col0 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col2 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col0 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col2 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col0 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col4 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col2 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col4 {\n",
       "            \n",
       "                background-color:  grey;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th class=\"blank level0\" >\n",
       "                  \n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col0\" colspan=1>\n",
       "                  傘_色_緑\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col1\" colspan=1>\n",
       "                  子実層托_型_襞\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col2\" colspan=1>\n",
       "                  傘_表面_鱗片\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col3\" colspan=1>\n",
       "                  子実層托_色_褐\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col4\" colspan=1>\n",
       "                  柄_表面_鱗片\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col5\" colspan=1>\n",
       "                  和名\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col6\" colspan=1>\n",
       "                  学名\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622\"\n",
       "                 class=\"row_heading level0 row0\" rowspan=1>\n",
       "                    3001\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col0\"\n",
       "                 class=\"data row0 col0\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col1\"\n",
       "                 class=\"data row0 col1\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col2\"\n",
       "                 class=\"data row0 col2\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col3\"\n",
       "                 class=\"data row0 col3\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col4\"\n",
       "                 class=\"data row0 col4\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col5\"\n",
       "                 class=\"data row0 col5\" >\n",
       "                    モエギタケ\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row0_col6\"\n",
       "                 class=\"data row0 col6\" >\n",
       "                    Stropharia aeruginosa\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622\"\n",
       "                 class=\"row_heading level0 row1\" rowspan=1>\n",
       "                    3006\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col0\"\n",
       "                 class=\"data row1 col0\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col1\"\n",
       "                 class=\"data row1 col1\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col2\"\n",
       "                 class=\"data row1 col2\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col3\"\n",
       "                 class=\"data row1 col3\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col4\"\n",
       "                 class=\"data row1 col4\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col5\"\n",
       "                 class=\"data row1 col5\" >\n",
       "                    コシワツバタケ\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row1_col6\"\n",
       "                 class=\"data row1 col6\" >\n",
       "                    Stropharia coronilla\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622\"\n",
       "                 class=\"row_heading level0 row2\" rowspan=1>\n",
       "                    3010\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col0\"\n",
       "                 class=\"data row2 col0\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col1\"\n",
       "                 class=\"data row2 col1\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col2\"\n",
       "                 class=\"data row2 col2\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col3\"\n",
       "                 class=\"data row2 col3\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col4\"\n",
       "                 class=\"data row2 col4\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col5\"\n",
       "                 class=\"data row2 col5\" >\n",
       "                    ツヅレタケ\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row2_col6\"\n",
       "                 class=\"data row2 col6\" >\n",
       "                    Stropharia hornemannii\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622\"\n",
       "                 class=\"row_heading level0 row3\" rowspan=1>\n",
       "                    3013\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col0\"\n",
       "                 class=\"data row3 col0\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col1\"\n",
       "                 class=\"data row3 col1\" >\n",
       "                    3\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col2\"\n",
       "                 class=\"data row3 col2\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col3\"\n",
       "                 class=\"data row3 col3\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col4\"\n",
       "                 class=\"data row3 col4\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col5\"\n",
       "                 class=\"data row3 col5\" >\n",
       "                    サケツバタケ\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row3_col6\"\n",
       "                 class=\"data row3 col6\" >\n",
       "                    Stropharia rugosoannulata\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622\"\n",
       "                 class=\"row_heading level0 row4\" rowspan=1>\n",
       "                    3014\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col0\"\n",
       "                 class=\"data row4 col0\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col1\"\n",
       "                 class=\"data row4 col1\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col2\"\n",
       "                 class=\"data row4 col2\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col3\"\n",
       "                 class=\"data row4 col3\" >\n",
       "                    2\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col4\"\n",
       "                 class=\"data row4 col4\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col5\"\n",
       "                 class=\"data row4 col5\" >\n",
       "                    キバフンタケ\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_0cdb86c8_f843_11e6_8370_d47bb00c5622row4_col6\"\n",
       "                 class=\"data row4 col6\" >\n",
       "                    Stropharia semiglobata\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.formats.style.Styler at 0x22252082f28>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import re\n",
    "from heapq import merge\n",
    "columnlist = [\"和名\",\"学名\"]\n",
    "df2 = df[df[\"genus\"]==genusselect.value][list(merge(cccs,columnlist))]\n",
    "df2 = df2.where(df2!=\"【0】[]\", np.nan)\n",
    "df2 = df2.replace(re.compile(\"\\[.*|【|】\"),\"\")\n",
    "df2.columns = [cccdictr[a] if cccdictr.get(a) is not None else a for a in df2.columns]\n",
    "#1つもヒットしなかった分類群を落とす（和名なしも除く）\n",
    "df2 = df2[~df2[\"和名\"].str.contains(\"（和名なし）\")].dropna(subset=[cccdictr[a] for a in cccs],how=\"all\")\n",
    "df2 = df2.style.highlight_null(\"grey\")\n",
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "モエギタケ属の中で選んだ形質を全て持っているのは「モエギタケ (<i>Stropharia aeruginosa</i>)」であることが分かりました（これが正解です）<br>\n",
    "<a href=\"http://mushroomobserver.org/image/show_image/379798?q=1Lb2\">http://mushroomobserver.org/image/show_image/379798?q=1Lb2</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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