BeautifulSoup_Pandas.ipynb

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      "cell_type": "markdown",
      "metadata": {
        "id": "xN2EzjQOV5mK",
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      },
      "source": [
        "#  Beautifulsoup in Pandas  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xDI9V50XV5mN",
        "colab_type": "text"
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      "source": [
        "<br>\n",
        "Dejan Križaj, 2019\n",
        "\n",
        "**Namen:** Zvezek (Notebook) je namenjen seznanjanju študentov z uporabo Jupytra za vnos podatkov iz spleta in njihovo predstavitvijo. To vključuje predvsem osnovni prikaz uporabe modulov Beautifulsoup in Pandas. \n",
        "\n",
        "**Zvezek se nanaša na:**\n",
        "* <a href=\"https://github.com/osnove/Dodatno/blob/master/Impedancna_spektroskopija.ipynb\" > Impedančna spektroskopija </a>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "57ZTxQf7V5mO",
        "colab_type": "text"
      },
      "source": [
        "<div class=\"alert alert-block alert-info\">\n",
        "<b>Namig:</b> Obstajata dve verziji tega dokumenta. Ena je v obliki html datoteke (končnica html), ki je ni mogoče izvajati, druga pa ima končnico ipny (Jupyter Notebook), ki jo lahko izvajamo z Jupyter aplikacijo. To aplikacijo imate lahko naloženo na vašem računalniku in se izvaja v brskalniku, lahko jo ogledujete s spletno aplikacijo nbViewer, s spletnimi aplikacijami Binder ali Google Colab pa jo lahko tudi zaganjate in spreminjate. Več o tem si preberite v \n",
        "<a href=\"http://lbm.fe.uni-lj.si/index.php?option=com_content&view=article&id=59&Itemid=135&lang=si\">tem članku</a>.\n",
        "<br>    \n",
        "Za izvajanje tega zvezka ne potrebujete posebnega znanja programiranja v Pythonu, lahko pa poljubno spreminjate kodo in se sproti učite tudi uporabe programskega jezika. Več podobnih primerov je na Githubu na https://github.com/osnove/Dodatno/\n",
        "</div>\n",
        "<a href=\"https://colab.research.google.com/github/osnove/Dodatno/blob/master/BeautifulSoup_Pandas.ipynb\">\n",
        "<img border=\"0\" alt=\"Filtri\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eHYvCt8uV5mP",
        "colab_type": "text"
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      "source": [
        "Ta zvezek je v bistvu dodatek k zvezku Impedančna spektroskopija, v katerem smo  prikazali uporabo impedančne spektroskopije za analizo kemijskih procesov in bioloških sistemov. \n",
        "\n",
        "Beautifulsoup in Pandas sta dve knjižnici (modula), ki omogočata dodatno funkcionalnost uporabe Pythona. S pomočjo Beautifulsoup lahko razčlenimo (ang. parsing) določeno datoteko in iz nje izluščimo kar nas zanima. Recimo, pri dielektrični spektroskopiji smo uporabili podatke iz tabele na strani http://niremf.ifac.cnr.it/docs/DIELECTRIC/AppendixC.html. Podatke za en primer (za model dielektričnih lastnosti krvi) smo \"na roko\" prepisali v spremenljivke v Jupytru. Z nekaj ukaznimi vrsticamo to lahko naredimo programsko, pa ne le za eno samo snov pač pa povlečemo celotno tabelo in iz nje izvlečemo podatke. Beautifulsoup deluje kot razčlenjevalec, za oblikovanje v uporabno tabelo in delo s tabelo pa uporabimo še modul Pandas. \n",
        "\n",
        "V podpoglavju 1.1 najprej prikažemo \"klasičen\" način obravnave, kjer parametre za model pridobimo iz tabele na spletni strani, kasneje pa to naredimo programsko."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qgZLpXOxV5mQ",
        "colab_type": "text"
      },
      "source": [
        "## Dielektrične lastnosti bioloških tkiv\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ifb4I41GV5mR",
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      "source": [
        "Cole-Cole model ni primeren le za modeliranje dielektričnih lastnosti \"preprostih\" dielektrikov, pač pa v razširjeni obliki zelo dobro modelira tudi dielektrične lastnosti bioloških tkiv. Trenutno, v bistvu že kar nekaj časa, je v veljavi več-parametrski model, ki sta ga predlagala Gabriel & Gabriel () in temelji na uporabi več osnovnih Cole-Cole enačb. S tem omogoči, da se modelira relaksacijske mehanizme v bioloških sistemih, ki nastopajo pri več različnih frekvencah. Model, ki sta ga uporabila \n",
        "\n",
        "$$\\underline{\\epsilon} =  \\epsilon _{\\infty} + \\sum_{n=1}^{4} \\frac{\\Delta \\epsilon_n}{1+(j\\omega\\tau _n)^{1-\\alpha _n}} + \\frac{\\gamma }{j \\omega \\epsilon _0}$$. \n",
        "\n",
        "Osnovni izris grafa prikazuje spodnja celica."
      ]
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      "source": [
        "## več parametrski Cole-Cole model\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "ef=4.000\n",
        "del1=56\n",
        "tau1=8.377e-12\n",
        "alf1=.1\n",
        "del2=5200\n",
        "tau2=132.629e-9\n",
        "alf2=.1\n",
        "sig=.7\n",
        "del3=0.7\n",
        "tau3=159.155\n",
        "alf3=0.2\n",
        "del4=0\n",
        "tau4=15e-3\n",
        "alf4=0\n",
        "e0=8.854e-12\n",
        "\n",
        "eksponent=np.linspace(1,12,100) # izdelamo 10 točk od 0 do 2000, linearno\n",
        "freq=10**(eksponent)\n",
        "omega=2*np.pi*freq\n",
        "\n",
        "eps=ef+del1/(1+(1j*omega*tau1)**(1-alf1))+del2/(1+(1j*omega*tau2)**(1-alf2))\n",
        "eps=eps+del3/(1+(1j*omega*tau3)**(1-alf4))+del4/(1+(1j*omega*tau4)**(1-alf4))+sig/(1j*omega*e0)\n",
        "sigma=1j*eps*omega*e0\n",
        "\n",
        "\n",
        "plt.xlabel('Frekvenca (Hz)')\n",
        "plt.ylabel('Eps in Gama  / ') \n",
        "plt.loglog(freq,(eps).real, color='b',linewidth=3,label='eps.real')\n",
        "plt.loglog(freq,sigma.real, color='r',linewidth=3,label='gama.real')\n",
        "plt.loglog(freq,(sigma).imag, color='r',linestyle=':',label='gama.imag')\n",
        "\n",
        "plt.grid(True,which=\"both\")\n",
        "plt.ylim(.1,1e4)\n",
        "plt.legend() # klikni puščico za razširitev"
      ],
      "execution_count": 2,
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qfF9FtLDcu+3b3dOQ778PH34Ie2sZONqokVsDe9Ag98seMMCti52cXONh9YlN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\nAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vTG5jBztV5mY",
        "colab_type": "text"
      },
      "source": [
        "## Beautiful Soup\n",
        "\n",
        "V naslednjih vrsticah bomo povlekli podatke za dielektrični model iz html tabele na strani \n",
        "http://niremf.ifac.cnr.it/docs/DIELECTRIC/AppendixC.html. V ta namen bomo uporabili modul *requests*, s pomočjo katerega bomo prenesli vsebino datoteke iz spleta v spremenljivko res.\n",
        "Nato bomo uporabili modul BeautifulSoup, s pomočjo katerega bomo analizirali vsebino datoteke (z razčlenjevalnikom (parserjem) xlml. \n",
        "\n",
        "Če modul Beautifulsoup ni nameščen na računalniku, ga je potrebno predhodno namestiti. \n",
        "Lahko tudi v ukazni vrstici Jupytra z ukazom !pip install bs4. \n",
        "Enako je potrebno narediti tudi za pandas in tudi za lxml.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TXGMx0WRV5mZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "9437fc48-08d4-4db8-b4d0-5469699dfd77"
      },
      "source": [
        "import requests\n",
        "from bs4 import BeautifulSoup\n",
        "\n",
        "res = requests.get(\"http://niremf.ifac.cnr.it/docs/DIELECTRIC/AppendixC.html\") # potegne file iz spleta\n",
        "soup = BeautifulSoup(res.content,'lxml') # sparsa vsebino z lxml\n",
        "\n",
        "table2 = soup.find_all('table') # poiščemo tabelo\n",
        "table2[0] # izpišemo tabelo, da vidimo, če je prava"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<table border=\"2\" bordercolor=\"#777777\" color=\"#000000\" width=\"100%\">\n",
              "<tr>\n",
              "<td width=\"84\">Tissue Type \\ Parameter </td>\n",
              "<td width=\"30\">ef </td>\n",
              "<td width=\"30\">del1</td>\n",
              "<td width=\"30\">tau1 (ps) </td>\n",
              "<td width=\"30\">alf1 </td>\n",
              "<td width=\"30\">del2</td>\n",
              "<td width=\"30\">tau2 (ns)</td>\n",
              "<td width=\"30\">alf2 </td>\n",
              "<td width=\"30\">sig</td>\n",
              "<td width=\"30\">del3</td>\n",
              "<td width=\"30\">tau3 (us) </td>\n",
              "<td width=\"30\">alf3</td>\n",
              "<td width=\"30\">del4</td>\n",
              "<td width=\"30\">tau4 (ms) </td>\n",
              "<td width=\"30\">alf4</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Aorta</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">40.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">8.842 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.183 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.250 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Bladder</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">16.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">8.842 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Blood</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">56.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">8.377 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">132.629 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.700 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Bone (Cancellous)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">18.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">13.263 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">300 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">79.577 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.250 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.070 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Bone (Cortical)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">10.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">13.263 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">180 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">79.577 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.020 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+3 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Bone Marrow (Infiltrated)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">9.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">14.469 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">80 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1591.549 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+6 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Bone Marrow (Not Infiltrated)</font>\n",
              "</td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">25 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.001 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+3 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1591.549 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+6 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Brain (Grey Matter)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">45.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.020 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">106.103 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.50E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.305 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Brain (White Matter)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">32.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.020 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">53.052 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.300 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.50E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.020 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Breast fat</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">17.680 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">63.660 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.010 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">454.700 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">13.260 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Cartilage</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">38.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">13.263 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">144.686 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">318.310 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Cerebellum</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">40.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">700 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.040 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">106.103 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.50E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.305 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Cerebro Spinal Fluid</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">65.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">40 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Cervix</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">45.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.300 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.50E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">106.103 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.180 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Colon</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.010 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Cornea</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">48.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Dura</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">40.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+6 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Eye Tissues (Sclera)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+6 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Fat (Average Infiltrated)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">9.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">35 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.035 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.30E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.010 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Fat (Not Infiltrated)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.010 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.30E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.010 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Gall Bladder</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">55.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.579 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">40 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.900 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+3 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Gall Bladder Bile</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">66.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.579 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Heart</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.50E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">72.343 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.50E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.547 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Kidney</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">47.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">198.944 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.50E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">79.577 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.547 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Lens Cortex</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">42.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">79.577 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.300 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Lens Nucleus</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">32.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">8.842 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">10.610 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+3 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+3 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Liver</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">39.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">8.842 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">6000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">530.516 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.020 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">22.736 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.050 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Lung (Deflated)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">45.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Lung (Inflated)</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">18.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">63.662 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.030 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.50E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Muscle</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.234 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">353.678 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.20E+6 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">318.310 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.50E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.274 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Nerve</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">26.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">106.103 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.006 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Ovary</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">40.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">8.842 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.250 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.300 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.270 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Skin (Dry)</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">32.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.234 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">32.481 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Skin (Wet)</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">39.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">280 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">79.577 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.160 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.592 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Small Intestine</font> </td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">10000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Spleen</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">48.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">63.662 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.150 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.030 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">265.258 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.250 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">6.366 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Stomach</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">60.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">79.577 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Tendon</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">42.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">12.243 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">60 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">6.366 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.250 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">6.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">318.310 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.220 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.326 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Testis</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">55.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Thyroid</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">55.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "<td width=\"30\"></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Tongue</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">50.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.250 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.00E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Trachea</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">2.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">38.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">400 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">63.662 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.300 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">5.00E+4 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.00E+6 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td width=\"84\"><font color=\"#000000\">Uterus</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">55.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.958 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">800 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">31.831 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.00E+5 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.200 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">3.50E+7 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.061 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "<tr align=\"BASELINE\">\n",
              "<td width=\"84\"><font color=\"#000000\">Vitreous Humor</font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">4.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">65.00 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">7.234 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">30 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.100 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">1.500 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">159.155 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.000 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">0.00E+0 </font></td>\n",
              "<td width=\"30\"><font color=\"#000000\">15.915 </font></td>\n",
              "<td align=\"BASELINE\" width=\"20\"><font color=\"#000000\">0.000 </font></td>\n",
              "</tr>\n",
              "</table>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pGAfMWNPV5md",
        "colab_type": "text"
      },
      "source": [
        "Če se je izpisala tabela v obliki html, smo na dobri poti. Sedaj je potrebno razdelati to tabelo, da se iz nje izvleče podatke. V ta namen uporabimo metodo findAll, kjer bomo poiskali indekse, kjer nastopa oznaka za začetek vrste \"tr\" in začetek celice \"td\". Nato shranjujemo po 16 vrednosti iz ene vrste v spremenljivko record in nato vse vrste v records.\n",
        "\n",
        "Nato s pomočjo metode DataFrame znotraj modula Pandas kreiramo Dataframe, ki je neke vrste dvodimenzionalni niz z dodatnimi možnostmi indeksiranja itd. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZVdyfwXJV5me",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "ec3ccb8e-5ef2-4a1a-f142-da9d8928b42f"
      },
      "source": [
        "# Poiščem vrednosti v tabeli in jih shranim v niz records\n",
        "import pandas as pd\n",
        "records = []\n",
        "for tr in table2[0].findAll(\"tr\"):\n",
        "    trs = tr.findAll(\"td\")\n",
        "    record = []\n",
        "    for i in range(15): # 16 stolpcev v vrsti shranim v record\n",
        "        record.append(trs[i].text)\n",
        "    records.append(record) # zložim vrste v records\n",
        "\n",
        "df = pd.DataFrame(data=records) # naredim DataFrame s Pandas\n",
        "df # izrišem DataFrame"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Tissue Type \\ Parameter</td>\n",
              "      <td>ef</td>\n",
              "      <td>del1</td>\n",
              "      <td>tau1 (ps)</td>\n",
              "      <td>alf1</td>\n",
              "      <td>del2</td>\n",
              "      <td>tau2 (ns)</td>\n",
              "      <td>alf2</td>\n",
              "      <td>sig</td>\n",
              "      <td>del3</td>\n",
              "      <td>tau3 (us)</td>\n",
              "      <td>alf3</td>\n",
              "      <td>del4</td>\n",
              "      <td>tau4 (ms)</td>\n",
              "      <td>alf4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Aorta</td>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>50</td>\n",
              "      <td>3.183</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.250</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bladder</td>\n",
              "      <td>2.500</td>\n",
              "      <td>16.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>400</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Blood</td>\n",
              "      <td>4.000</td>\n",
              "      <td>56.00</td>\n",
              "      <td>8.377</td>\n",
              "      <td>0.100</td>\n",
              "      <td>5200</td>\n",
              "      <td>132.629</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Bone (Cancellous)</td>\n",
              "      <td>2.500</td>\n",
              "      <td>18.00</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.220</td>\n",
              "      <td>300</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.250</td>\n",
              "      <td>0.070</td>\n",
              "      <td>2.00E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>2.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bone (Cortical)</td>\n",
              "      <td>2.500</td>\n",
              "      <td>10.00</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.200</td>\n",
              "      <td>180</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.020</td>\n",
              "      <td>5.00E+3</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Bone Marrow (Infiltrated)</td>\n",
              "      <td>2.500</td>\n",
              "      <td>9.00</td>\n",
              "      <td>14.469</td>\n",
              "      <td>0.200</td>\n",
              "      <td>80</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1.00E+4</td>\n",
              "      <td>1591.549</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Bone Marrow (Not Infiltrated)\\n</td>\n",
              "      <td>2.500</td>\n",
              "      <td>3.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.200</td>\n",
              "      <td>25</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5.00E+3</td>\n",
              "      <td>1591.549</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Brain (Grey Matter)</td>\n",
              "      <td>4.000</td>\n",
              "      <td>45.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>400</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.020</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.220</td>\n",
              "      <td>4.50E+7</td>\n",
              "      <td>5.305</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Brain (White Matter)</td>\n",
              "      <td>4.000</td>\n",
              "      <td>32.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>100</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.020</td>\n",
              "      <td>4.00E+4</td>\n",
              "      <td>53.052</td>\n",
              "      <td>0.300</td>\n",
              "      <td>3.50E+7</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Breast fat</td>\n",
              "      <td>2.500</td>\n",
              "      <td>3.00</td>\n",
              "      <td>17.680</td>\n",
              "      <td>0.100</td>\n",
              "      <td>15</td>\n",
              "      <td>63.660</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.010</td>\n",
              "      <td>5.00E+4</td>\n",
              "      <td>454.700</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.00E+7</td>\n",
              "      <td>13.260</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Cartilage</td>\n",
              "      <td>4.000</td>\n",
              "      <td>38.00</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.150</td>\n",
              "      <td>2500</td>\n",
              "      <td>144.686</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.150</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Cerebellum</td>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>700</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.040</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.220</td>\n",
              "      <td>4.50E+7</td>\n",
              "      <td>5.305</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Cerebro Spinal Fluid</td>\n",
              "      <td>4.000</td>\n",
              "      <td>65.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>40</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Cervix</td>\n",
              "      <td>4.000</td>\n",
              "      <td>45.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>200</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.300</td>\n",
              "      <td>1.50E+5</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.180</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Colon</td>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>3000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.010</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Cornea</td>\n",
              "      <td>4.000</td>\n",
              "      <td>48.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.400</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Dura</td>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.150</td>\n",
              "      <td>200</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Eye Tissues (Sclera)</td>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>5.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Fat (Average Infiltrated)</td>\n",
              "      <td>2.500</td>\n",
              "      <td>9.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.200</td>\n",
              "      <td>35</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.035</td>\n",
              "      <td>3.30E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Fat (Not Infiltrated)</td>\n",
              "      <td>2.500</td>\n",
              "      <td>3.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.200</td>\n",
              "      <td>15</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.010</td>\n",
              "      <td>3.30E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Gall Bladder</td>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.050</td>\n",
              "      <td>40</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.900</td>\n",
              "      <td>1.00E+3</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+4</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Gall Bladder Bile</td>\n",
              "      <td>4.000</td>\n",
              "      <td>66.00</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.050</td>\n",
              "      <td>50</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.400</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Heart</td>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1200</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.050</td>\n",
              "      <td>4.50E+5</td>\n",
              "      <td>72.343</td>\n",
              "      <td>0.220</td>\n",
              "      <td>2.50E+7</td>\n",
              "      <td>4.547</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Kidney</td>\n",
              "      <td>4.000</td>\n",
              "      <td>47.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>3500</td>\n",
              "      <td>198.944</td>\n",
              "      <td>0.220</td>\n",
              "      <td>0.050</td>\n",
              "      <td>2.50E+5</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.220</td>\n",
              "      <td>3.00E+7</td>\n",
              "      <td>4.547</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Lens Cortex</td>\n",
              "      <td>4.000</td>\n",
              "      <td>42.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1500</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.300</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>Lens Nucleus</td>\n",
              "      <td>3.000</td>\n",
              "      <td>32.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>100</td>\n",
              "      <td>10.610</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+3</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>5.00E+3</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>Liver</td>\n",
              "      <td>4.000</td>\n",
              "      <td>39.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>6000</td>\n",
              "      <td>530.516</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.020</td>\n",
              "      <td>5.00E+4</td>\n",
              "      <td>22.736</td>\n",
              "      <td>0.200</td>\n",
              "      <td>3.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>Lung (Deflated)</td>\n",
              "      <td>4.000</td>\n",
              "      <td>45.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>5.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>Lung (Inflated)</td>\n",
              "      <td>2.500</td>\n",
              "      <td>18.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>500</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.030</td>\n",
              "      <td>2.50E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Muscle</td>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.100</td>\n",
              "      <td>7000</td>\n",
              "      <td>353.678</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.20E+6</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.50E+7</td>\n",
              "      <td>2.274</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>Nerve</td>\n",
              "      <td>4.000</td>\n",
              "      <td>26.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>500</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.006</td>\n",
              "      <td>7.00E+4</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>Ovary</td>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.150</td>\n",
              "      <td>400</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.250</td>\n",
              "      <td>0.300</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.270</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>Skin (Dry)</td>\n",
              "      <td>4.000</td>\n",
              "      <td>32.00</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1100</td>\n",
              "      <td>32.481</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>Skin (Wet)</td>\n",
              "      <td>4.000</td>\n",
              "      <td>39.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>280</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>3.00E+4</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.160</td>\n",
              "      <td>3.00E+4</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>Small Intestine</td>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>10000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>5.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>Spleen</td>\n",
              "      <td>4.000</td>\n",
              "      <td>48.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2500</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.030</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>265.258</td>\n",
              "      <td>0.250</td>\n",
              "      <td>5.00E+7</td>\n",
              "      <td>6.366</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>Stomach</td>\n",
              "      <td>4.000</td>\n",
              "      <td>60.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2000</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>Tendon</td>\n",
              "      <td>4.000</td>\n",
              "      <td>42.00</td>\n",
              "      <td>12.243</td>\n",
              "      <td>0.100</td>\n",
              "      <td>60</td>\n",
              "      <td>6.366</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.250</td>\n",
              "      <td>6.00E+4</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.220</td>\n",
              "      <td>2.00E+7</td>\n",
              "      <td>1.326</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Testis</td>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>5000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.400</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>Thyroid</td>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2500</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>Tongue</td>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.250</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>Trachea</td>\n",
              "      <td>2.500</td>\n",
              "      <td>38.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>400</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.300</td>\n",
              "      <td>5.00E+4</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>Uterus</td>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>800</td>\n",
              "      <td>31.831</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>3.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>3.50E+7</td>\n",
              "      <td>1.061</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>Vitreous Humor</td>\n",
              "      <td>4.000</td>\n",
              "      <td>65.00</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.000</td>\n",
              "      <td>30</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1.500</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 0       1   ...          13      14\n",
              "0          Tissue Type \\ Parameter      ef   ...  tau4 (ms)     alf4\n",
              "1                                            ...                    \n",
              "2                             Aorta  4.000   ...      1.592   0.000 \n",
              "3                           Bladder  2.500   ...     15.915   0.000 \n",
              "4                             Blood  4.000   ...     15.915   0.000 \n",
              "5                Bone (Cancellous)   2.500   ...     15.915   0.000 \n",
              "6                  Bone (Cortical)   2.500   ...     15.915   0.000 \n",
              "7                                            ...                    \n",
              "8        Bone Marrow (Infiltrated)   2.500   ...     15.915   0.100 \n",
              "9   Bone Marrow (Not Infiltrated)\\n  2.500   ...     15.915   0.100 \n",
              "10             Brain (Grey Matter)   4.000   ...      5.305   0.000 \n",
              "11            Brain (White Matter)   4.000   ...      7.958   0.020 \n",
              "12                       Breast fat  2.500   ...     13.260   0.000 \n",
              "13                                           ...                    \n",
              "14                        Cartilage  4.000   ...     15.915   0.000 \n",
              "15                       Cerebellum  4.000   ...      5.305   0.000 \n",
              "16            Cerebro Spinal Fluid   4.000   ...     15.915   0.000 \n",
              "17                           Cervix  4.000   ...      1.592   0.000 \n",
              "18                            Colon  4.000   ...      1.592   0.000 \n",
              "19                                           ...                    \n",
              "20                           Cornea  4.000   ...     15.915   0.000 \n",
              "21                             Dura  4.000   ...     15.915   0.000 \n",
              "22            Eye Tissues (Sclera)   4.000   ...     15.915   0.000 \n",
              "23       Fat (Average Infiltrated)   2.500   ...     15.915   0.010 \n",
              "24           Fat (Not Infiltrated)   2.500   ...      7.958   0.010 \n",
              "25                                           ...                    \n",
              "26                     Gall Bladder  4.000   ...     15.915   0.000 \n",
              "27               Gall Bladder Bile   4.000   ...     15.915   0.200 \n",
              "28                            Heart  4.000   ...      4.547   0.000 \n",
              "29                           Kidney  4.000   ...      4.547   0.000 \n",
              "30                      Lens Cortex  4.000   ...     15.915   0.000 \n",
              "31                                           ...                    \n",
              "32                     Lens Nucleus  3.000   ...     15.915   0.000 \n",
              "33                            Liver  4.000   ...     15.915   0.050 \n",
              "34                 Lung (Deflated)   4.000   ...     15.915   0.000 \n",
              "35                 Lung (Inflated)   2.500   ...      7.958   0.000 \n",
              "36                           Muscle  4.000   ...      2.274   0.000 \n",
              "37                                           ...                    \n",
              "38                            Nerve  4.000   ...     15.915   0.000 \n",
              "39                            Ovary  4.000   ...     15.915   0.000 \n",
              "40                       Skin (Dry)  4.000   ...     15.915   0.200 \n",
              "41                       Skin (Wet)  4.000   ...      1.592   0.200 \n",
              "42                 Small Intestine   4.000   ...     15.915   0.000 \n",
              "43                                           ...                    \n",
              "44                           Spleen  4.000   ...      6.366   0.000 \n",
              "45                          Stomach  4.000   ...     15.915   0.000 \n",
              "46                           Tendon  4.000   ...      1.326   0.000 \n",
              "47                           Testis  4.000   ...     15.915   0.000 \n",
              "48                          Thyroid  4.000   ...     15.915   0.000 \n",
              "49                                           ...                    \n",
              "50                           Tongue  4.000   ...     15.915   0.000 \n",
              "51                          Trachea  2.500   ...     15.915   0.000 \n",
              "52                           Uterus  4.000   ...      1.061   0.000 \n",
              "53                   Vitreous Humor  4.000   ...     15.915   0.000 \n",
              "\n",
              "[54 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aluqiPjFV5mh",
        "colab_type": "text"
      },
      "source": [
        "Če je vse potekalo OK, smo dobili izpis DataFrame-a z 53 vrsticami in 15 stolpci. Poglejmo si nekaj osnovnih ukazov za delo z Dataframe-om."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xJFuSS2gV5mj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        },
        "outputId": "797164a0-d488-4b09-f9cd-4cee29fded45"
      },
      "source": [
        "# Za osnovno delo z Dataframe, uporabi print za izpis, sicer izpiše le rezultat zadnje vrstice\n",
        "print(type(df)) # ugotovimo tip spremenljivke\n",
        "print(df.values[0]) # izpis prve vrstice\n",
        "print(df.values[2][1]) # tretja vrstica, drugi stolpec\n",
        "#df.values # celoten niz"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "['Tissue Type \\\\ Parameter ' 'ef ' 'del1' 'tau1 (ps) ' 'alf1 ' 'del2'\n",
            " 'tau2 (ns)' 'alf2 ' 'sig' 'del3' 'tau3 (us) ' 'alf3' 'del4' 'tau4 (ms) '\n",
            " 'alf4']\n",
            "4.000 \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nr0o_MkBV5mm",
        "colab_type": "text"
      },
      "source": [
        "Za boljše delo je potrebno določiti indeks, po katerem bomo lahko naslavljali vrstice. Trenutno je indeks kar na začetnem stolpcu, določenim s črkami od 0 do 53. Mi želimo naslavljati vrstice z imeni snovi, npr. Aorta, Bladder itd."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WDGWmdEmV5mo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "06e14097-7808-48db-da55-b96040c4eff5"
      },
      "source": [
        "df.set_index(0, inplace=True) # nastavimo indeks na stolpec z imeni snovi\n",
        "df # na začetku ni več številk, indeksi so izpisani bold\n",
        "# če to vrstico zaženeš še enkrat boš naredil napako, ker črke 0 ni več v prvi vrsti. \n",
        "# V tem primeru se moraš vrniti na začetek in še enkrat prebrati tabelo"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Tissue Type \\ Parameter</th>\n",
              "      <td>ef</td>\n",
              "      <td>del1</td>\n",
              "      <td>tau1 (ps)</td>\n",
              "      <td>alf1</td>\n",
              "      <td>del2</td>\n",
              "      <td>tau2 (ns)</td>\n",
              "      <td>alf2</td>\n",
              "      <td>sig</td>\n",
              "      <td>del3</td>\n",
              "      <td>tau3 (us)</td>\n",
              "      <td>alf3</td>\n",
              "      <td>del4</td>\n",
              "      <td>tau4 (ms)</td>\n",
              "      <td>alf4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aorta</th>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>50</td>\n",
              "      <td>3.183</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.250</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bladder</th>\n",
              "      <td>2.500</td>\n",
              "      <td>16.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>400</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Blood</th>\n",
              "      <td>4.000</td>\n",
              "      <td>56.00</td>\n",
              "      <td>8.377</td>\n",
              "      <td>0.100</td>\n",
              "      <td>5200</td>\n",
              "      <td>132.629</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone (Cancellous)</th>\n",
              "      <td>2.500</td>\n",
              "      <td>18.00</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.220</td>\n",
              "      <td>300</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.250</td>\n",
              "      <td>0.070</td>\n",
              "      <td>2.00E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>2.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone (Cortical)</th>\n",
              "      <td>2.500</td>\n",
              "      <td>10.00</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.200</td>\n",
              "      <td>180</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.020</td>\n",
              "      <td>5.00E+3</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone Marrow (Infiltrated)</th>\n",
              "      <td>2.500</td>\n",
              "      <td>9.00</td>\n",
              "      <td>14.469</td>\n",
              "      <td>0.200</td>\n",
              "      <td>80</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1.00E+4</td>\n",
              "      <td>1591.549</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone Marrow (Not Infiltrated)\\n</th>\n",
              "      <td>2.500</td>\n",
              "      <td>3.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.200</td>\n",
              "      <td>25</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5.00E+3</td>\n",
              "      <td>1591.549</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brain (Grey Matter)</th>\n",
              "      <td>4.000</td>\n",
              "      <td>45.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>400</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.020</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.220</td>\n",
              "      <td>4.50E+7</td>\n",
              "      <td>5.305</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brain (White Matter)</th>\n",
              "      <td>4.000</td>\n",
              "      <td>32.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>100</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.020</td>\n",
              "      <td>4.00E+4</td>\n",
              "      <td>53.052</td>\n",
              "      <td>0.300</td>\n",
              "      <td>3.50E+7</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Breast fat</th>\n",
              "      <td>2.500</td>\n",
              "      <td>3.00</td>\n",
              "      <td>17.680</td>\n",
              "      <td>0.100</td>\n",
              "      <td>15</td>\n",
              "      <td>63.660</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.010</td>\n",
              "      <td>5.00E+4</td>\n",
              "      <td>454.700</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.00E+7</td>\n",
              "      <td>13.260</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cartilage</th>\n",
              "      <td>4.000</td>\n",
              "      <td>38.00</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.150</td>\n",
              "      <td>2500</td>\n",
              "      <td>144.686</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.150</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cerebellum</th>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>700</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.040</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.220</td>\n",
              "      <td>4.50E+7</td>\n",
              "      <td>5.305</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cerebro Spinal Fluid</th>\n",
              "      <td>4.000</td>\n",
              "      <td>65.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>40</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cervix</th>\n",
              "      <td>4.000</td>\n",
              "      <td>45.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>200</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.300</td>\n",
              "      <td>1.50E+5</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.180</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Colon</th>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>3000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.010</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cornea</th>\n",
              "      <td>4.000</td>\n",
              "      <td>48.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.400</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dura</th>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.150</td>\n",
              "      <td>200</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Eye Tissues (Sclera)</th>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>5.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fat (Average Infiltrated)</th>\n",
              "      <td>2.500</td>\n",
              "      <td>9.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.200</td>\n",
              "      <td>35</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.035</td>\n",
              "      <td>3.30E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fat (Not Infiltrated)</th>\n",
              "      <td>2.500</td>\n",
              "      <td>3.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.200</td>\n",
              "      <td>15</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.010</td>\n",
              "      <td>3.30E+4</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gall Bladder</th>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.050</td>\n",
              "      <td>40</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.900</td>\n",
              "      <td>1.00E+3</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+4</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gall Bladder Bile</th>\n",
              "      <td>4.000</td>\n",
              "      <td>66.00</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.050</td>\n",
              "      <td>50</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.400</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Heart</th>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1200</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.050</td>\n",
              "      <td>4.50E+5</td>\n",
              "      <td>72.343</td>\n",
              "      <td>0.220</td>\n",
              "      <td>2.50E+7</td>\n",
              "      <td>4.547</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kidney</th>\n",
              "      <td>4.000</td>\n",
              "      <td>47.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>3500</td>\n",
              "      <td>198.944</td>\n",
              "      <td>0.220</td>\n",
              "      <td>0.050</td>\n",
              "      <td>2.50E+5</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.220</td>\n",
              "      <td>3.00E+7</td>\n",
              "      <td>4.547</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lens Cortex</th>\n",
              "      <td>4.000</td>\n",
              "      <td>42.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1500</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.300</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lens Nucleus</th>\n",
              "      <td>3.000</td>\n",
              "      <td>32.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>100</td>\n",
              "      <td>10.610</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+3</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>5.00E+3</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Liver</th>\n",
              "      <td>4.000</td>\n",
              "      <td>39.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.100</td>\n",
              "      <td>6000</td>\n",
              "      <td>530.516</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.020</td>\n",
              "      <td>5.00E+4</td>\n",
              "      <td>22.736</td>\n",
              "      <td>0.200</td>\n",
              "      <td>3.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lung (Deflated)</th>\n",
              "      <td>4.000</td>\n",
              "      <td>45.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>5.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lung (Inflated)</th>\n",
              "      <td>2.500</td>\n",
              "      <td>18.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>500</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.030</td>\n",
              "      <td>2.50E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Muscle</th>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.100</td>\n",
              "      <td>7000</td>\n",
              "      <td>353.678</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.20E+6</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2.50E+7</td>\n",
              "      <td>2.274</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nerve</th>\n",
              "      <td>4.000</td>\n",
              "      <td>26.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>500</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.006</td>\n",
              "      <td>7.00E+4</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ovary</th>\n",
              "      <td>4.000</td>\n",
              "      <td>40.00</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.150</td>\n",
              "      <td>400</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.250</td>\n",
              "      <td>0.300</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.270</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Skin (Dry)</th>\n",
              "      <td>4.000</td>\n",
              "      <td>32.00</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1100</td>\n",
              "      <td>32.481</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Skin (Wet)</th>\n",
              "      <td>4.000</td>\n",
              "      <td>39.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>280</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>3.00E+4</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.160</td>\n",
              "      <td>3.00E+4</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Small Intestine</th>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>10000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>5.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Spleen</th>\n",
              "      <td>4.000</td>\n",
              "      <td>48.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2500</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.030</td>\n",
              "      <td>2.00E+5</td>\n",
              "      <td>265.258</td>\n",
              "      <td>0.250</td>\n",
              "      <td>5.00E+7</td>\n",
              "      <td>6.366</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Stomach</th>\n",
              "      <td>4.000</td>\n",
              "      <td>60.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2000</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tendon</th>\n",
              "      <td>4.000</td>\n",
              "      <td>42.00</td>\n",
              "      <td>12.243</td>\n",
              "      <td>0.100</td>\n",
              "      <td>60</td>\n",
              "      <td>6.366</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.250</td>\n",
              "      <td>6.00E+4</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.220</td>\n",
              "      <td>2.00E+7</td>\n",
              "      <td>1.326</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Testis</th>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>5000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.400</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Thyroid</th>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>2500</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.500</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tongue</th>\n",
              "      <td>4.000</td>\n",
              "      <td>50.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>4000</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.250</td>\n",
              "      <td>1.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>4.00E+7</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trachea</th>\n",
              "      <td>2.500</td>\n",
              "      <td>38.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>400</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.300</td>\n",
              "      <td>5.00E+4</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1.00E+6</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Uterus</th>\n",
              "      <td>4.000</td>\n",
              "      <td>55.00</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.100</td>\n",
              "      <td>800</td>\n",
              "      <td>31.831</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.200</td>\n",
              "      <td>3.00E+5</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.200</td>\n",
              "      <td>3.50E+7</td>\n",
              "      <td>1.061</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vitreous Humor</th>\n",
              "      <td>4.000</td>\n",
              "      <td>65.00</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.000</td>\n",
              "      <td>30</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.100</td>\n",
              "      <td>1.500</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00E+0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                     1       2   ...          13      14\n",
              "0                                                ...                    \n",
              "Tissue Type \\ Parameter             ef     del1  ...  tau4 (ms)     alf4\n",
              "                                                 ...                    \n",
              "Aorta                            4.000   40.00   ...      1.592   0.000 \n",
              "Bladder                          2.500   16.00   ...     15.915   0.000 \n",
              "Blood                            4.000   56.00   ...     15.915   0.000 \n",
              "Bone (Cancellous)                2.500   18.00   ...     15.915   0.000 \n",
              "Bone (Cortical)                  2.500   10.00   ...     15.915   0.000 \n",
              "                                                 ...                    \n",
              "Bone Marrow (Infiltrated)        2.500    9.00   ...     15.915   0.100 \n",
              "Bone Marrow (Not Infiltrated)\\n  2.500    3.00   ...     15.915   0.100 \n",
              "Brain (Grey Matter)              4.000   45.00   ...      5.305   0.000 \n",
              "Brain (White Matter)             4.000   32.00   ...      7.958   0.020 \n",
              "Breast fat                       2.500    3.00   ...     13.260   0.000 \n",
              "                                                 ...                    \n",
              "Cartilage                        4.000   38.00   ...     15.915   0.000 \n",
              "Cerebellum                       4.000   40.00   ...      5.305   0.000 \n",
              "Cerebro Spinal Fluid             4.000   65.00   ...     15.915   0.000 \n",
              "Cervix                           4.000   45.00   ...      1.592   0.000 \n",
              "Colon                            4.000   50.00   ...      1.592   0.000 \n",
              "                                                 ...                    \n",
              "Cornea                           4.000   48.00   ...     15.915   0.000 \n",
              "Dura                             4.000   40.00   ...     15.915   0.000 \n",
              "Eye Tissues (Sclera)             4.000   50.00   ...     15.915   0.000 \n",
              "Fat (Average Infiltrated)        2.500    9.00   ...     15.915   0.010 \n",
              "Fat (Not Infiltrated)            2.500    3.00   ...      7.958   0.010 \n",
              "                                                 ...                    \n",
              "Gall Bladder                     4.000   55.00   ...     15.915   0.000 \n",
              "Gall Bladder Bile                4.000   66.00   ...     15.915   0.200 \n",
              "Heart                            4.000   50.00   ...      4.547   0.000 \n",
              "Kidney                           4.000   47.00   ...      4.547   0.000 \n",
              "Lens Cortex                      4.000   42.00   ...     15.915   0.000 \n",
              "                                                 ...                    \n",
              "Lens Nucleus                     3.000   32.00   ...     15.915   0.000 \n",
              "Liver                            4.000   39.00   ...     15.915   0.050 \n",
              "Lung (Deflated)                  4.000   45.00   ...     15.915   0.000 \n",
              "Lung (Inflated)                  2.500   18.00   ...      7.958   0.000 \n",
              "Muscle                           4.000   50.00   ...      2.274   0.000 \n",
              "                                                 ...                    \n",
              "Nerve                            4.000   26.00   ...     15.915   0.000 \n",
              "Ovary                            4.000   40.00   ...     15.915   0.000 \n",
              "Skin (Dry)                       4.000   32.00   ...     15.915   0.200 \n",
              "Skin (Wet)                       4.000   39.00   ...      1.592   0.200 \n",
              "Small Intestine                  4.000   50.00   ...     15.915   0.000 \n",
              "                                                 ...                    \n",
              "Spleen                           4.000   48.00   ...      6.366   0.000 \n",
              "Stomach                          4.000   60.00   ...     15.915   0.000 \n",
              "Tendon                           4.000   42.00   ...      1.326   0.000 \n",
              "Testis                           4.000   55.00   ...     15.915   0.000 \n",
              "Thyroid                          4.000   55.00   ...     15.915   0.000 \n",
              "                                                 ...                    \n",
              "Tongue                           4.000   50.00   ...     15.915   0.000 \n",
              "Trachea                          2.500   38.00   ...     15.915   0.000 \n",
              "Uterus                           4.000   55.00   ...      1.061   0.000 \n",
              "Vitreous Humor                   4.000   65.00   ...     15.915   0.000 \n",
              "\n",
              "[54 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zAxPL4j-V5mr",
        "colab_type": "text"
      },
      "source": [
        "Sedaj lahko naslavljaš posamezno vrstico in iz nje izvečeš podatke. (Za več o delu z Dataframe si poglej na spletu, za začetek npr. https://www.geeksforgeeks.org/python-pandas-dataframe/)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5Zgk__KJV5ms",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "68560cce-6a9f-4e96-9915-e8c350b62541"
      },
      "source": [
        "print(df.index.tolist()[2:10]) # spremeniš indeks v niz, bomo rabili v kratkem"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Aorta', 'Bladder', 'Blood', 'Bone (Cancellous) ', 'Bone (Cortical) ', '', 'Bone Marrow (Infiltrated) ', 'Bone Marrow (Not Infiltrated)\\n']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zsyvWXaqV5mv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "outputId": "08644e04-95c5-441d-810b-bf42b10ffa90"
      },
      "source": [
        "vrstica = df.loc['Blood'] # vrednosti vrstice z indeksom Blood\n",
        "print(vrstica) # izpis\n",
        "print(vrstica[1]) # prvi člen"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1       4.000 \n",
            "2       56.00 \n",
            "3       8.377 \n",
            "4       0.100 \n",
            "5        5200 \n",
            "6     132.629 \n",
            "7       0.100 \n",
            "8       0.700 \n",
            "9     0.00E+0 \n",
            "10    159.155 \n",
            "11      0.200 \n",
            "12    0.00E+0 \n",
            "13     15.915 \n",
            "14      0.000 \n",
            "Name: Blood, dtype: object\n",
            "4.000 \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q2rFmO5PZN8t",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mhctRBsejvV9",
        "colab_type": "text"
      },
      "source": [
        "Če želimo razvrstiti (sortirati?!) tabelo tako, da poiščemo vrstice, ki izpolnjujejo določene pogoje, npr., da je specifična prevodnost većja od 1 moramo storiti sledeče:\n",
        "1. Ker vrednosti v tabeli niso numerične, jih je najprej potrebno spremeniti v numerične. V ta namen uporabmo funkcijo oz. metodo *apply* in znotraj nje *Dataframe.to_numeric*. Dobimo dataframe df2.\n",
        "2. Uporabimo  df[stolpec] >< pogoj, da izvlečemo vrstice, ki izpolnjuje pogoj."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p7R1SXoXgJ4Z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        },
        "outputId": "283408c0-3e54-431c-8abc-9b348edf3734"
      },
      "source": [
        "df2 = df.apply(pd.to_numeric, errors='coerce') # spremeni str vrednosti v numerične, kjer ne gre izpiše NaN\n",
        "df3=df2[df2[8] > 0.5]\n",
        "df3"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
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              "      <th>8</th>\n",
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              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Blood</th>\n",
              "      <td>4.0</td>\n",
              "      <td>56.0</td>\n",
              "      <td>8.377</td>\n",
              "      <td>0.10</td>\n",
              "      <td>5200.0</td>\n",
              "      <td>132.629</td>\n",
              "      <td>0.1</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cerebro Spinal Fluid</th>\n",
              "      <td>4.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>40.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gall Bladder</th>\n",
              "      <td>4.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.05</td>\n",
              "      <td>40.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.9</td>\n",
              "      <td>1000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.2</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gall Bladder Bile</th>\n",
              "      <td>4.0</td>\n",
              "      <td>66.0</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.05</td>\n",
              "      <td>50.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vitreous Humor</th>\n",
              "      <td>4.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.00</td>\n",
              "      <td>30.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        1     2      3     4   ...   11       12      13   14\n",
              "0                                              ...                           \n",
              "Blood                  4.0  56.0  8.377  0.10  ...  0.2      0.0  15.915  0.0\n",
              "Cerebro Spinal Fluid   4.0  65.0  7.958  0.10  ...  0.0      0.0  15.915  0.0\n",
              "Gall Bladder           4.0  55.0  7.579  0.05  ...  0.2  10000.0  15.915  0.0\n",
              "Gall Bladder Bile      4.0  66.0  7.579  0.05  ...  0.2      0.0  15.915  0.2\n",
              "Vitreous Humor         4.0  65.0  7.234  0.00  ...  0.0      0.0  15.915  0.0\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CU98C69X-LT6",
        "colab_type": "text"
      },
      "source": [
        "Lahko pa tudi razvrstimo vrstice, npr. po velikosti stolpca 8, v katerem so vrednosti prevodnosti snovi. Od največje do najmanjše vrednosti. Ugotovimo, da so najbolj prevodne snovi v naših možganih (cerebro-spinalna tekočina CSF) in očesna steklovina (VH)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6UXCF-as66QQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "714b536f-d375-47e2-fe6b-b6df03244318"
      },
      "source": [
        "# Razvrščanje glede na vrednosti v stolpcu\n",
        "df2.sort_values(by=[8],ascending=False)"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Cerebro Spinal Fluid</th>\n",
              "      <td>4.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>40.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vitreous Humor</th>\n",
              "      <td>4.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.00</td>\n",
              "      <td>30.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>1.500</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gall Bladder Bile</th>\n",
              "      <td>4.0</td>\n",
              "      <td>66.0</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.05</td>\n",
              "      <td>50.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.400</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gall Bladder</th>\n",
              "      <td>4.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>7.579</td>\n",
              "      <td>0.05</td>\n",
              "      <td>40.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.900</td>\n",
              "      <td>1000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Blood</th>\n",
              "      <td>4.0</td>\n",
              "      <td>56.0</td>\n",
              "      <td>8.377</td>\n",
              "      <td>0.10</td>\n",
              "      <td>5200.0</td>\n",
              "      <td>132.629</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Stomach</th>\n",
              "      <td>4.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>2000.0</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.500</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dura</th>\n",
              "      <td>4.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.15</td>\n",
              "      <td>200.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.500</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>1000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Small Intestine</th>\n",
              "      <td>4.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.500</td>\n",
              "      <td>500000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Thyroid</th>\n",
              "      <td>4.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.500</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Eye Tissues (Sclera)</th>\n",
              "      <td>4.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>4000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.500</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>5000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Testis</th>\n",
              "      <td>4.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.400</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cornea</th>\n",
              "      <td>4.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>4000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.400</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ovary</th>\n",
              "      <td>4.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.15</td>\n",
              "      <td>400.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.300</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.27</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lens Cortex</th>\n",
              "      <td>4.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>1500.0</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.300</td>\n",
              "      <td>200000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cervix</th>\n",
              "      <td>4.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>200.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.300</td>\n",
              "      <td>150000.0</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.18</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trachea</th>\n",
              "      <td>2.5</td>\n",
              "      <td>38.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>400.0</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.300</td>\n",
              "      <td>50000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.20</td>\n",
              "      <td>1000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tendon</th>\n",
              "      <td>4.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>12.243</td>\n",
              "      <td>0.10</td>\n",
              "      <td>60.0</td>\n",
              "      <td>6.366</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.250</td>\n",
              "      <td>60000.0</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.22</td>\n",
              "      <td>20000000.0</td>\n",
              "      <td>1.326</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tongue</th>\n",
              "      <td>4.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>4000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.250</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aorta</th>\n",
              "      <td>4.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.10</td>\n",
              "      <td>50.0</td>\n",
              "      <td>3.183</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.250</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>10000000.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lung (Deflated)</th>\n",
              "      <td>4.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>1000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.200</td>\n",
              "      <td>500000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>10000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Uterus</th>\n",
              "      <td>4.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>800.0</td>\n",
              "      <td>31.831</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.200</td>\n",
              "      <td>300000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>35000000.0</td>\n",
              "      <td>1.061</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bladder</th>\n",
              "      <td>2.5</td>\n",
              "      <td>16.0</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.10</td>\n",
              "      <td>400.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.200</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>10000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lens Nucleus</th>\n",
              "      <td>3.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.10</td>\n",
              "      <td>100.0</td>\n",
              "      <td>10.610</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.20</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Muscle</th>\n",
              "      <td>4.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.10</td>\n",
              "      <td>7000.0</td>\n",
              "      <td>353.678</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1200000.0</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.10</td>\n",
              "      <td>25000000.0</td>\n",
              "      <td>2.274</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cartilage</th>\n",
              "      <td>4.0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.15</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>144.686</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.150</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>318.310</td>\n",
              "      <td>0.10</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone Marrow (Infiltrated)</th>\n",
              "      <td>2.5</td>\n",
              "      <td>9.0</td>\n",
              "      <td>14.469</td>\n",
              "      <td>0.20</td>\n",
              "      <td>80.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.100</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>1591.549</td>\n",
              "      <td>0.10</td>\n",
              "      <td>2000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone (Cancellous)</th>\n",
              "      <td>2.5</td>\n",
              "      <td>18.0</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.22</td>\n",
              "      <td>300.0</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.070</td>\n",
              "      <td>20000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>20000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Heart</th>\n",
              "      <td>4.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>1200.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.050</td>\n",
              "      <td>450000.0</td>\n",
              "      <td>72.343</td>\n",
              "      <td>0.22</td>\n",
              "      <td>25000000.0</td>\n",
              "      <td>4.547</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kidney</th>\n",
              "      <td>4.0</td>\n",
              "      <td>47.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>3500.0</td>\n",
              "      <td>198.944</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.050</td>\n",
              "      <td>250000.0</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.22</td>\n",
              "      <td>30000000.0</td>\n",
              "      <td>4.547</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cerebellum</th>\n",
              "      <td>4.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>700.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.040</td>\n",
              "      <td>200000.0</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.22</td>\n",
              "      <td>45000000.0</td>\n",
              "      <td>5.305</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fat (Average Infiltrated)</th>\n",
              "      <td>2.5</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.20</td>\n",
              "      <td>35.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.035</td>\n",
              "      <td>33000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.05</td>\n",
              "      <td>10000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lung (Inflated)</th>\n",
              "      <td>2.5</td>\n",
              "      <td>18.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>500.0</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.030</td>\n",
              "      <td>250000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Spleen</th>\n",
              "      <td>4.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>63.662</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.030</td>\n",
              "      <td>200000.0</td>\n",
              "      <td>265.258</td>\n",
              "      <td>0.25</td>\n",
              "      <td>50000000.0</td>\n",
              "      <td>6.366</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Liver</th>\n",
              "      <td>4.0</td>\n",
              "      <td>39.0</td>\n",
              "      <td>8.842</td>\n",
              "      <td>0.10</td>\n",
              "      <td>6000.0</td>\n",
              "      <td>530.516</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.020</td>\n",
              "      <td>50000.0</td>\n",
              "      <td>22.736</td>\n",
              "      <td>0.20</td>\n",
              "      <td>30000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brain (White Matter)</th>\n",
              "      <td>4.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>100.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.020</td>\n",
              "      <td>40000.0</td>\n",
              "      <td>53.052</td>\n",
              "      <td>0.30</td>\n",
              "      <td>35000000.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brain (Grey Matter)</th>\n",
              "      <td>4.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>400.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.020</td>\n",
              "      <td>200000.0</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.22</td>\n",
              "      <td>45000000.0</td>\n",
              "      <td>5.305</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone (Cortical)</th>\n",
              "      <td>2.5</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.263</td>\n",
              "      <td>0.20</td>\n",
              "      <td>180.0</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.020</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Breast fat</th>\n",
              "      <td>2.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>17.680</td>\n",
              "      <td>0.10</td>\n",
              "      <td>15.0</td>\n",
              "      <td>63.660</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.010</td>\n",
              "      <td>50000.0</td>\n",
              "      <td>454.700</td>\n",
              "      <td>0.10</td>\n",
              "      <td>20000000.0</td>\n",
              "      <td>13.260</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Colon</th>\n",
              "      <td>4.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.010</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fat (Not Infiltrated)</th>\n",
              "      <td>2.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.20</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.010</td>\n",
              "      <td>33000.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.05</td>\n",
              "      <td>10000000.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nerve</th>\n",
              "      <td>4.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>500.0</td>\n",
              "      <td>106.103</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.006</td>\n",
              "      <td>70000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.20</td>\n",
              "      <td>40000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bone Marrow (Not Infiltrated)\\n</th>\n",
              "      <td>2.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.20</td>\n",
              "      <td>25.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>1591.549</td>\n",
              "      <td>0.10</td>\n",
              "      <td>2000000.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Skin (Dry)</th>\n",
              "      <td>4.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>7.234</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1100.0</td>\n",
              "      <td>32.481</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>159.155</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.915</td>\n",
              "      <td>0.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Skin (Wet)</th>\n",
              "      <td>4.0</td>\n",
              "      <td>39.0</td>\n",
              "      <td>7.958</td>\n",
              "      <td>0.10</td>\n",
              "      <td>280.0</td>\n",
              "      <td>79.577</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000</td>\n",
              "      <td>30000.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.16</td>\n",
              "      <td>30000.0</td>\n",
              "      <td>1.592</td>\n",
              "      <td>0.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tissue Type \\ Parameter</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                  1     2       3   ...          12      13    14\n",
              "0                                                   ...                          \n",
              "Cerebro Spinal Fluid             4.0  65.0   7.958  ...         0.0  15.915  0.00\n",
              "Vitreous Humor                   4.0  65.0   7.234  ...         0.0  15.915  0.00\n",
              "Gall Bladder Bile                4.0  66.0   7.579  ...         0.0  15.915  0.20\n",
              "Gall Bladder                     4.0  55.0   7.579  ...     10000.0  15.915  0.00\n",
              "Blood                            4.0  56.0   8.377  ...         0.0  15.915  0.00\n",
              "Stomach                          4.0  60.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Dura                             4.0  40.0   7.958  ...   1000000.0  15.915  0.00\n",
              "Small Intestine                  4.0  50.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Thyroid                          4.0  55.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Eye Tissues (Sclera)             4.0  50.0   7.958  ...   5000000.0  15.915  0.00\n",
              "Testis                           4.0  55.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Cornea                           4.0  48.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Ovary                            4.0  40.0   8.842  ...  40000000.0  15.915  0.00\n",
              "Lens Cortex                      4.0  42.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Cervix                           4.0  45.0   7.958  ...  40000000.0   1.592  0.00\n",
              "Trachea                          2.5  38.0   7.958  ...   1000000.0  15.915  0.00\n",
              "Tendon                           4.0  42.0  12.243  ...  20000000.0   1.326  0.00\n",
              "Tongue                           4.0  50.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Aorta                            4.0  40.0   8.842  ...  10000000.0   1.592  0.00\n",
              "Lung (Deflated)                  4.0  45.0   7.958  ...  10000000.0  15.915  0.00\n",
              "Uterus                           4.0  55.0   7.958  ...  35000000.0   1.061  0.00\n",
              "Bladder                          2.5  16.0   8.842  ...  10000000.0  15.915  0.00\n",
              "Lens Nucleus                     3.0  32.0   8.842  ...      5000.0  15.915  0.00\n",
              "Muscle                           4.0  50.0   7.234  ...  25000000.0   2.274  0.00\n",
              "Cartilage                        4.0  38.0  13.263  ...  40000000.0  15.915  0.00\n",
              "Bone Marrow (Infiltrated)        2.5   9.0  14.469  ...   2000000.0  15.915  0.10\n",
              "Bone (Cancellous)                2.5  18.0  13.263  ...  20000000.0  15.915  0.00\n",
              "Heart                            4.0  50.0   7.958  ...  25000000.0   4.547  0.00\n",
              "Kidney                           4.0  47.0   7.958  ...  30000000.0   4.547  0.00\n",
              "Cerebellum                       4.0  40.0   7.958  ...  45000000.0   5.305  0.00\n",
              "Fat (Average Infiltrated)        2.5   9.0   7.958  ...  10000000.0  15.915  0.01\n",
              "Lung (Inflated)                  2.5  18.0   7.958  ...  40000000.0   7.958  0.00\n",
              "Spleen                           4.0  48.0   7.958  ...  50000000.0   6.366  0.00\n",
              "Liver                            4.0  39.0   8.842  ...  30000000.0  15.915  0.05\n",
              "Brain (White Matter)             4.0  32.0   7.958  ...  35000000.0   7.958  0.02\n",
              "Brain (Grey Matter)              4.0  45.0   7.958  ...  45000000.0   5.305  0.00\n",
              "Bone (Cortical)                  2.5  10.0  13.263  ...    100000.0  15.915  0.00\n",
              "Breast fat                       2.5   3.0  17.680  ...  20000000.0  13.260  0.00\n",
              "Colon                            4.0  50.0   7.958  ...  40000000.0   1.592  0.00\n",
              "Fat (Not Infiltrated)            2.5   3.0   7.958  ...  10000000.0   7.958  0.01\n",
              "Nerve                            4.0  26.0   7.958  ...  40000000.0  15.915  0.00\n",
              "Bone Marrow (Not Infiltrated)\\n  2.5   3.0   7.958  ...   2000000.0  15.915  0.10\n",
              "Skin (Dry)                       4.0  32.0   7.234  ...         0.0  15.915  0.20\n",
              "Skin (Wet)                       4.0  39.0   7.958  ...     30000.0   1.592  0.20\n",
              "Tissue Type \\ Parameter          NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "                                 NaN   NaN     NaN  ...         NaN     NaN   NaN\n",
              "\n",
              "[54 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VrxU_gM1V5m1",
        "colab_type": "text"
      },
      "source": [
        "Sedaj smo pripravljeni, da uporabimo podatke za izrise. Npr., tvorimo niz snovi, v katere vpišemo snov, katerega model želimo izpisati.\n",
        "\n",
        "Preden uporabimo podatke, jih moramo spremeniti iz tipa string v float. To se da narediti na več načinov, mi bomo uporabili najbolj enostavnega, z uporabo funkcije float.\n",
        "\n",
        "Izris bo narejen za snov kri, lahko pa enostavno zamenjamo snov, npr. za \"Aorta\" in na grafu bo potek permitivnosti in prevodnosti za aorto."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SzKwSQ1LV5m2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "outputId": "117c37fc-12b7-4b16-fd10-3e9ed8a196f0"
      },
      "source": [
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline \n",
        "\n",
        "snov=['Blood']\n",
        "v = df.loc[snov]  # najde vrstico in shrani vrednosti v niz\n",
        "#print(v)\n",
        "\n",
        "ef=float(v[1])\n",
        "del1=float(v[2])\n",
        "tau1=float(v[3])*1e-12\n",
        "alf1=float(v[4])\n",
        "del2=float(v[5])\n",
        "tau2=float(v[6])*1e-9\n",
        "alf2=float(v[7])\n",
        "sig=float(v[8])\n",
        "del3=float(v[9])\n",
        "tau3=float(v[10])*1e-6\n",
        "alf3=float(v[11])\n",
        "del4=float(v[12])\n",
        "tau4=float(v[13])*1e-3\n",
        "alf4=float(v[14])\n",
        "print(ef,del1, tau1, alf1,del2,tau2,alf2,del3,tau3,alf3,del4,tau4,alf4)\n",
        "e0=8.854e-12\n",
        "\n",
        "eksponent=np.linspace(1,12,100) # izdelamo 10 točk od 0 do 2000, linearno\n",
        "freq=10**(eksponent)\n",
        "omega=2*np.pi*freq\n",
        "\n",
        "eps=ef+del1/(1+(1j*omega*tau1)**(1-alf1))+del2/(1+(1j*omega*tau2)**(1-alf2))\n",
        "eps=eps+del3/(1+(1j*omega*tau3)**(1-alf4))+del4/(1+(1j*omega*tau4)**(1-alf4))+sig/(1j*omega*e0)\n",
        "sigma=1j*eps*omega*e0\n",
        "\n",
        "\n",
        "plt.xlabel('Frekvenca (Hz)')\n",
        "plt.ylabel('Eps in Gama  / ') \n",
        "plt.loglog(freq,(eps).real, color='b',linewidth=2,label='eps.real')\n",
        "plt.loglog(freq,sigma.real, color='r',linewidth=2,label='gama.real')\n",
        "plt.loglog(freq,(sigma).imag, color='r',linestyle=':',label='gama.imag')\n",
        "\n",
        "\n",
        "plt.grid(True,which=\"both\")\n",
        "plt.ylim(.1,1e4)\n",
        "plt.legend()"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4.0 56.0 8.377000000000001e-12 0.1 5200.0 1.32629e-07 0.1 0.0 0.000159155 0.2 0.0 0.015915 0.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fb96ebc3f28>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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CYPBguOwy2LcP/vxnr1NjTO1YRmFMkEyYAMnJ8Pbb8NFHXqfGmJqzjMKYIGnTBu68063f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\nY4wxlfp/v92iXLI7yckAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d0MjW7tPV5m5",
        "colab_type": "text"
      },
      "source": [
        "## Izbira s spustnim seznamom - dropdown list\n",
        "\n",
        "Sedaj lahko dodamo še spustni seznam, v katerem bodo imena snovi. Ob izbiri pa izrišemo ustrezen graf.\n",
        "\n",
        "Najprej si oglejmo, kako se naredi spustni seznam z uporabo ukaza widgets iz modula ipywitgets."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "crnFMJ44V5m6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84,
          "referenced_widgets": [
            "cdb8af3fa0f84d1ca867ccc8aa787c9f",
            "cff35e2864554869ba0891ad9f02c63f",
            "75fdb500c5504f8c9cd469a6820b66f2"
          ]
        },
        "outputId": "08329614-df16-4b5f-dd9b-dc9b44370c84"
      },
      "source": [
        "import ipywidgets as widgets\n",
        "\n",
        "lista=df.index.tolist()[2:53] # iz indeksa naredim niz za izpustni seznam\n",
        "#print(lista)\n",
        "\n",
        "#Tvorim spustni seznam  lista in izbranim default prikazom Aorta\n",
        "w = widgets.Dropdown( \n",
        "    options=lista,\n",
        "    value='Aorta',\n",
        "    description='Task:',\n",
        ")\n",
        "\n",
        "# Ob spremembi izbire izpišem novo izbiro\n",
        "def on_change(change):\n",
        "    if change['type'] == 'change' and change['name'] == 'value':\n",
        "        print(\"changed to %s\" % change['new'])\n",
        "        print(w.value)\n",
        "\n",
        "w.observe(on_change)\n",
        "\n",
        "display(w)"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cdb8af3fa0f84d1ca867ccc8aa787c9f",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Dropdown(description='Task:', options=('Aorta', 'Bladder', 'Blood', 'Bone (Cancellous) ', 'Bone (Cortical) ', …"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "changed to Colon\n",
            "Colon\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ifIKjZfqV5m-",
        "colab_type": "text"
      },
      "source": [
        "Sedaj, ko imamo izbirni seznam, ga le še povežemo z novim izrisom grafa za izbrano snov."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vWQtSYBmV5m-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 999,
          "referenced_widgets": [
            "e80972215ca34d0d91932b07673a1022",
            "8a2a0d2c5fec42b4ae3228351b8f5dfb",
            "9c90b2c343bb46b1939406fed16bfe83"
          ]
        },
        "outputId": "204f3266-b82d-44d3-e82d-a28dcd9f1f04"
      },
      "source": [
        "import ipywidgets as widgets\n",
        "\n",
        "lista=df.index.tolist()[2:53]\n",
        "#print(lista)\n",
        "\n",
        "w = widgets.Dropdown(\n",
        "    options=lista,\n",
        "    value='Aorta',\n",
        "    description='Task:',\n",
        ")\n",
        "\n",
        "def on_change(change):\n",
        "    if change['type'] == 'change' and change['name'] == 'value':\n",
        "        print(\"changed to %s\" % change['new'])\n",
        "        print(w.value)\n",
        "        plot()  # ob spremembi se izvrši funkcija plot(), ki izriše graf\n",
        "\n",
        "def plot():\n",
        "    snov=w.value #dobim vrednost od izbire \n",
        "    v = df.loc[snov]  # najde vrstico in shrani vrednosti v niz\n",
        "    #print(v)\n",
        "\n",
        "    ef=float(v[1])\n",
        "    del1=float(v[2])\n",
        "    tau1=float(v[3])*1e-12\n",
        "    alf1=float(v[4])\n",
        "    del2=float(v[5])\n",
        "    tau2=float(v[6])*1e-9\n",
        "    alf2=float(v[7])\n",
        "    sig=float(v[8])\n",
        "    del3=float(v[9])\n",
        "    tau3=float(v[10])*1e-6\n",
        "    alf3=float(v[11])\n",
        "    del4=float(v[12])\n",
        "    tau4=float(v[13])*1e-3\n",
        "    alf4=float(v[14])\n",
        "    e0=8.854e-12\n",
        "\n",
        "    eksponent=np.linspace(1,12,100) # izdelamo 10 točk od 0 do 2000, linearno\n",
        "    freq=10**(eksponent)\n",
        "    omega=2*np.pi*freq\n",
        "\n",
        "    eps=ef+del1/(1+(1j*omega*tau1)**(1-alf1))+del2/(1+(1j*omega*tau2)**(1-alf2))\n",
        "    eps=eps+del3/(1+(1j*omega*tau3)**(1-alf4))+del4/(1+(1j*omega*tau4)**(1-alf4))+sig/(1j*omega*e0)\n",
        "    sigma=1j*eps*omega*e0\n",
        "    \n",
        "    plt.title(snov)\n",
        "    plt.xlabel('Frekvenca (Hz)')\n",
        "    plt.ylabel('Eps in Gama  / ') \n",
        "    plt.loglog(freq,(eps).real, color='b',linewidth=3,label='eps.real')\n",
        "    plt.loglog(freq,sigma.real, color='r',linewidth=3,label='gama.real')\n",
        "    plt.loglog(freq,(sigma).imag, color='r',linestyle=':',label='gama.imag')\n",
        "\n",
        "    plt.grid(True,which=\"both\")\n",
        "    plt.ylim(.1,1e4)\n",
        "    plt.legend()\n",
        "    \n",
        "w.observe(on_change)\n",
        "display(w)"
      ],
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e80972215ca34d0d91932b07673a1022",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Dropdown(description='Task:', options=('Aorta', 'Bladder', 'Blood', 'Bone (Cancellous) ', 'Bone (Cortical) ', …"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "changed to Colon\n",
            "Colon\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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klYisEZGHAFT1c1W9FbgNuDIc5TUmmtSuDd98A8OGebdt2wb9+7thtenp4Sub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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "changed to Cerebellum\n",
            "Cerebellum\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mT4eDB10FEcIO7IK8anqaAgwquEFEYoEXgYuA9sA1ItK+wC4P+743xpRDcjJ8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\nyP44v8viAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "changed to Bone Marrow (Infiltrated) \n",
            "Bone Marrow (Infiltrated) \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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qe/YEt49YnsePZd1UvfVRhJqShPCoVq1aCCUJPuajMIKKCLz4Ihx1lCtv3gw33+ytTIYR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\nBBf1ITlc7i5yAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3gJNoCjkV5nB",
        "colab_type": "text"
      },
      "source": [
        "## Zdaj pa ti\n",
        "\n",
        "Graf je preveč natlačen, če bi želeli pogledati dielektrične lastnosti več snovi hkrati. Lahko pa si zamislimo drugače oblikovan graf, na katerem bi recimo prikazovali le permitivnost (realni del kompleksne dielektričnosti) ali pa le prevodnost. Poskusi izdelati kodo, kjer boš lahko izbral nekaj snovi in za te snovi izrisal omenjene grafe. (Ena od možnih rešitev je na koncu strani)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "90fjGn2hV5nC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bJSSr_d4V5nG",
        "colab_type": "text"
      },
      "source": [
        "## Zaključek\n",
        "\n",
        "Ta zvezek se nanaša na poglavje o impedančni spektroskopiji, ki ga dopolnjuje z načinom prikaza dielektričnih lastnosti bioloških tkiv na bolj \"eleganten\" način. In sicer tako, da uporabi modula BeautifulSoup in Pandas za obdelavo spletne strani, iz katere izvlečemo tabelo s parametri in jo pretvorimo v Dataframe tablo in nato iz nje izvlečemo parametre za izbrano snov. Nato uporabimo še interaktivni gradnik v obliki izvlečnega seznama, s pomočjo katerega izberemo želen izris grafa.\n",
        "\n",
        "V zvezku ne obravnavamo celovito modula BeautifulSoup in še manj Pandas, ki omogočata še marsikaj drugega. Na primer, tabela je bila v našem primeru v originalni html datoteki zapisana s html sintakso, lahko pa bi bila tudi v obliki json ali xml in podobno. Za vsak konkreten primer je potrebno pogledati html obliko dokumenta (običajno z desnim klikom miške in izbiro Page source) in v zmedi html zapisa poiskati, kako so zapisani originalni podatki.Ko pač nekaj konkretnega potrebujete, je potrebno malo pobrskati po spletu in najti usttrezno rešitev.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZkvqcaU9V5nI",
        "colab_type": "text"
      },
      "source": [
        "## Rešitve"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "code_folding": [],
        "id": "LT7oapgiV5nJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "22905fdfe2894673b41d269f746a555f",
            "e96f87ea32a14933b96e679891582b37",
            "714c82382a0d40928761897e86c5bea7",
            "d5e53a73c5054403bd502d4ae717629d"
          ]
        },
        "outputId": "7e020a6d-f983-4a7c-a562-b28bb1af4f60"
      },
      "source": [
        "import ipywidgets as widgets\n",
        "from IPython.display import clear_output\n",
        "\n",
        "lista=df.index.tolist()[2:53]\n",
        "#print(lista)\n",
        "\n",
        "selector = widgets.SelectMultiple(\n",
        "options=lista,\n",
        "value=[lista[1]],\n",
        "rows=10,\n",
        "description='Variables',\n",
        "disabled=False)\n",
        "\n",
        "output = widgets.Output()\n",
        "\n",
        "display(selector)\n",
        "display(output)\n",
        "\n",
        "def plot(snovi):\n",
        "    i=-1\n",
        "    lstyle=['-','-.','--',':']\n",
        "    for snov in snovi:\n",
        "        i=i+1\n",
        "        v = df.loc[snov]  # najde vrstico in shrani vrednosti v niz\n",
        "        ef=float(v[1])\n",
        "        del1=float(v[2])\n",
        "        tau1=float(v[3])*1e-12\n",
        "        alf1=float(v[4])\n",
        "        del2=float(v[5])\n",
        "        tau2=float(v[6])*1e-9\n",
        "        alf2=float(v[7])\n",
        "        sig=float(v[8])\n",
        "        del3=float(v[9])\n",
        "        tau3=float(v[10])*1e-6\n",
        "        alf3=float(v[11])\n",
        "        del4=float(v[12])\n",
        "        tau4=float(v[13])*1e-3\n",
        "        alf4=float(v[14])\n",
        "        #print(ef,del1, tau1, alf1,del2,tau2,alf2,del3,tau3,alf3,del4,tau4,alf4)\n",
        "        e0=8.854e-12\n",
        "\n",
        "        eksponent=np.linspace(1,12,100) # izdelamo 10 točk od 0 do 2000, linearno\n",
        "        freq=10**(eksponent)\n",
        "        omega=2*np.pi*freq\n",
        "\n",
        "        eps=ef+del1/(1+(1j*omega*tau1)**(1-alf1))+del2/(1+(1j*omega*tau2)**(1-alf2))\n",
        "        eps=eps+del3/(1+(1j*omega*tau3)**(1-alf4))+del4/(1+(1j*omega*tau4)**(1-alf4))+sig/(1j*omega*e0)\n",
        "        sigma=1j*eps*omega*e0\n",
        "\n",
        "        plt.loglog(freq,(eps).real, color='b',linestyle=lstyle[i],linewidth=2,label='eps '+snov)\n",
        "        plt.loglog(freq,sigma.real, color='r',linestyle=lstyle[i],linewidth=2,label='gama' + snov)\n",
        "\n",
        "    plt.xlabel('Frekvenca (Hz)')\n",
        "    plt.ylabel('Eps in Gama  / ')     \n",
        "    plt.grid(True,which=\"both\")\n",
        "    plt.ylim(.1,1e4)\n",
        "    plt.legend()\n",
        "    plt.title(snovi)\n",
        "    \n",
        "def multiplot(widg):\n",
        "    choices = widg['new']\n",
        "    output.clear_output(wait=False)\n",
        "    \n",
        "    if len(choices)>4: \n",
        "        print('Ne izberi več kot štiri snovi')\n",
        "    else:\n",
        "        plot(choices)\n",
        "\n",
        "\n",
        "selector.observe(multiplot, names='value')\n"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "22905fdfe2894673b41d269f746a555f",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "SelectMultiple(description='Variables', index=(1,), options=('Aorta', 'Bladder', 'Blood', 'Bone (Cancellous) '…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "d5e53a73c5054403bd502d4ae717629d",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Output()"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AFaGc2+Z6KrnPPnPr1NSurbprV+nO5bfcwimWc1ON7fwst+AoZK4n3496UtVU\nIDWUY22a8dITgZYtO/PLL9UYM+Y3TjttfYnP5bfcwimWc4PYzs9yK4GCSpBIbxxao+gJfJRv/xbg\nlpKc22oUpfP6665W0aiR6r59JT+PH3MLl1jOTTW287PcgqOQGoWf+igqAMuAfsB64Efgn6r6c0Hn\nCHLO3BrFJdOmTQt7zJHgx/bSnBwYMaIba9ZU4eablzJgwKHLLYbCj7mFSyznBrGdn+UWnO/6KIAZ\nwAYgE1gHjAw8PxBXWKwAxpb0/FajKL0XXnC1iiOPVM3MLNk5/JpbOMRybqqxnZ/lFhx+W49CVYep\naoqqJqhqA1WdHHj+fVU9SlWPUNW7vYjNOP/8JxxxBPz2G8yY4XU0xhgvedb0FAnW9BReH374N+6/\nvyUNG+7m+ed/JD6+eL8rfs6ttGI5N4jt/Cy34HzX9BTpzZqewiMzU/WII1wT1IsvFv/9fs6ttGI5\nN9XYzs9yCw6/NT2Z6FChAowd6x6PH++WTTXGlD/W9OQxv1eDs7KECy/szh9/JHHrrUs58cTQR0D5\nPbfSiOXcILbzs9yCs6YnH4uGavBzz7nmp8aNVTMyQn9fNORWUrGcm2ps52e5BYc1PZnSuOACaNcO\n1qyxmWWNKY+s6clj0VINnju3Jjfe2IGkpCymTZtNrVr7inxPtORWErGcG8R2fpZbcNb05GPRVA0e\nPNg1QV18cWjHR1NuxRXLuanGdn6WW3BY05MJh4kT3UioyZNhwQKvozHGlBUrKEzIWrSAyy8HVRg9\n2obLGlNeWB+Fx6KtvTQtrQIjRnRjy5ZKXHzxSs49t+DFjaItt+KI5dwgtvOz3IKzPgofi8b20o8+\ncn0VFSqozptX8HHRmFuoYjk31djOz3ILDuujMOF00klw5ZWQlQXnnQd79ngdkTEmkqygMCVy//2u\nz2LJErjhBtdvYYyJTVZQmBKpXBlefBESEuC//4UHHvA6ImNMpFhBYUqsWzeYOtWtsz1mDDz3nNcR\nGWMiwUY9eSwWRmC8/np9Hn/8SOLilHHjfqZXry1AbORWkFjODWI7P8stOBv15GOxMgLjttvcSCgR\n1QkTVLOzYye3YGI5N9XYzs9yCw4b9WQi7a67YNw49/i22+DUUyE9vYKnMRljwsMKChMWInDnnfDu\nu1CjBrz9Nlx0UTeeecYNozXGRC8rKExYDRwIc+e6ju4tWyoxahS0aeM6vdPTvY7OGFMSVlCYsGvW\nDL7/Hm6/fQnNm8OyZXDhhVC3LpxzDrz8Mqxb53WUxphQWSOyiYi4ODj++E3cfntrpk6F55+Hb75x\nhcTLL7tjGjRwNY+jjoIjj0ROCncAACAASURBVIQjjoCUFLclJ7vmLGOM92x4rMfK01C9P/+sRGpq\nXebNq8mSJdXYtavgv1MqVsymWrUskpMzSU7OokqVLCpXzg5sWSQl7X9cpYp7XLVqVt6WnJxJQkLk\nfrdj+XOD2M7PcguusOGxMVVQ5OratavOmTPH6zBCkpqaSp8+fbwOIyIKyy0nB5YuhYUL4bff3LZ6\nNWzY4Lbdu0t//eRkOOwwqFdvf02lYUNo0sRtRx3lXi+JWP7cILbzs9yCE5ECC4oC/6QTkWHAx6q6\ntURXNaYQcXGuk7tNm+Cv79oF27bB9u3u3507929paW47+PGOHfDXX/vfk/va6tUFx1G3LrRuDR06\nQI8ebmva1Jq9jMmvsD6KRsCrIpIAfAZ8AMzWWKyCGN+pUsVtDRuW7P2qruDYsgU2bnS1lD/+gN9/\nh1Wr3LZsGWza5LbU1P3vTUmB/v1hwAA3U27NmmFJyZioVWBBoar3A/eLSDJwAjACmCQiS4EPgY9U\ndWPZhGlM8Yi4+zlq1IDmzYMfo+oKjp9/dkN6f/jBjdbasAGmTHFbQoIb8nv++TB4MFSqVJZZGOMP\nRY56UtU04I3Ahoi0Bv4BTAX6RzQ6YyJIBBo1cts//uGeU4VFi+Cjj+CDD+DLL+Gtt9x22GFwxRVu\nLQ5jypNi30ehqktU9SFVtULCxBwRaN8ebroJPv/c3e/x0EOuD2PrVjdVSePG8Nhjzdm0yetojSkb\ndsOdMYVISYHrr4effoJZs1zzU0YGvPFGA448EiZOhH37vI7SmMiygsKYEIhAr17wzjuuaeroo7ey\nc6erebRtC1995XWExkSOFRTGFFPbtnDvvYv44ANo2dLdA3LccXDLLVa7MLHJ9wWFiAwVkWdE5GUR\nOcnreIzJNWAALFgAY8e6Gsd997n7MH77zevIjAkvTwoKEXlORDaJyOKDnh8gIr+KyHIRGQOgqm+q\n6iXAZcDZXsRrTEEqVoQJE1zTU7NmMH8+dO8On3zidWTGhI9XNYopwID8T4hIPPAf3NDb1sCwwFDc\nXLcFXjfGd/7+d1dIDBni7g4fMAAefdQNtzUm2hVZUIjI0SLyo4iki8g+EckWkZ2luaiqzgK2HfR0\nd2C5qq5U1X3ATGCIOPcDH6jqvNJc15hISk6G1193K/zl5MB118FVV7nHxkSzIicFFJE5wDnAq0BX\n4ALgKFW9pVQXFmkCvKuqbQP7ZwADVPXiwP75QA9gGXAh8CMwX1UnFXC+UcAogHr16nWZOXNmacIr\nMzaTZXQqKrcvvqjDvfe2IjMzjn79NjJmzC9UqBA91Yvy/NlFs0jNHht0Ie38G4EFt4GF+Z77qaj3\nhXDeJsDifPtnAM/m2z8feKIk5+7SpUsJlxcve7bQe3QKJbfPP1etWlUVVAcNUt21K/JxhUt5/+yi\nVWlyy/2uD7aFsnDRbhGpCMwXkQeADUSmb2M9kH8KuAaB50KWbz0KUvPP8uZj6enpURNrcZX33ETg\nwQeTufnm9rz3XgK9e2/j7rsXU6mS/9uiyvtnF60illtBJYju/8u+MZAEVAPuBB4Gmhf1vhDO24QD\naxQVgJVAU6AisABoU5JzW43CHyw3Z8kS1b/9zdUs+vdXzciIXFzhYp9ddIpUjcKThYtEZAbQB6gN\nbATuVNXJIjIQeBSIB55T1buLeV5b4c5HLLf9Vq+uzHXXdeSvvyrSo8dW7rprMRUr+rfPwj676ORl\nH8Vg4CfcKKWdQBqws6j3eblZjcIfLLcDLVqkWru2q1kMHaqamRn+uMLFPrvo5FmNQkSWA6cBi7So\ngz1mNQp/sdwOtXx5Fa67riPp6Qn07/8n//rXL8T5cH4E++yik5c1ii+AuKKO89NmNQp/sNyC+/Zb\n1cqVXc3immtUc3LCF1e42GcXnbwc9fQv4H0R+RLYm6+AebhExZYx5VzPnvDmmzBoEPzf/0GtWnDH\nHV5HZUzBQml6+hhIBxYBeeP6VPXfkQ2t+KzpyV8st8J9+WVt7rqrDTk5wrXXLmPIkD/CFF3p2WcX\nnbxselpc1DF+26zpyR8st6I9/bRrghJRffnlsJwyLOyzi06RanoKpRvtfZve25jIuOQSuOceN3ng\neefZrLPGn0IpKEYDH4pIhojsFJG00k4KaIzZb8wYuPZayMyEU0+FH37wOiJjDuTJDXeRYn0U/mK5\nhS4nB+67ryWffPI3kpMz+b//m0/TprvCdv7iss8uOnnWRxEoSGripgHvnbuF8j6vNuuj8AfLrXj2\n7VM95RTXZ5GSorpyZdgvETL77KKTZ30UInIxMAv4CPh34N9xJSqyjDEFSkiAl1+GPn1gwwbo1w/W\nrfM6KmNC66O4BugGrFHVvkAn4K+IRmVMOZWYCG+9Bd26wapVcPzxrtAwxkuh3Efxo6p2E5H5QA9V\n3SsiP6tqm7IJMXTWR+EvllvJpaVV4PrrO7B8eTKNG+/ikUfmU7NmZsSudzD77KKTl/dRvAHUwDU3\nzQLeAt4v6n1ebtZH4Q+WW+ls3qzatq3rs2jTRnXDhohfMo99dtHJsz4KVT1VVf9S1XHA7cBkYGiJ\niixjTMhq14bPPoPWreHnn6F3b1i71uuoTHkU8ryVIlIfWAXMJ99UHsaYyKlbF1JToWNH+O036NUL\nli/3OipT3hRYUIjILSKSf6qy74B3gY+BmyIdmDHGqVMHvvgCjj7a1SiOPRZ+/NHrqEx5UmBntojM\nA3qp6q7A/k+q2klE4oEvVfXYMowzJNaZ7S+WW3hlZMRz221tmTevJpUqZXPbbUs59tgtEbmWfXbR\nqcw7s4F5B+0Pz/d4bkHv88Nmndn+YLmF3969qsOHa95Egg89FJn1LOyzi05edGZXFZGEfAXKFAAR\nqQRUK1GRZYwplYoV4bnnYMIEN5HgDTfAsGGQluZ1ZCaWFVZQvAY8JSKVc58QkSrApMBrxhgPiMDY\nsfDKK1C1qrubu2tXWLTI68hMrCqsoLgd2ASsFZG5IjIXWA1sDLxmjPHQmWfCnDnQti0sWwbdu8ND\nD0F2tteRmVhTYEGhqtmqOgZoCAwPbI1UdYyqZpVNeMaYwrRo4aYlHzEC9uyBG290o6J++cXryEws\nCeWGuwxVXRTYMsoiKGNM6CpXhsmT4d134fDD4fvvoUMH+Ne/YMcOr6MzsSDkG+6MMf42aJC7g3vk\nSNi3Dx58EI48EiZNcvvGlJQtXOQxG9Mdnfye2y+/JPPf/x7BokU1AKhbdw9nn/07AwduIDGx6IkV\n/J5faVhuwYVj4aL6wN+xhYvCzsZ0R6doyC0nR/XVV1Vbt3b3XYBqnTqqY8aoLl9e+HujIb+SstyC\no5QLF90PfAPchpu64ybgxhIVWcaYMiMCZ5zhhs2+/jp06QKbN8N990Hz5nDiiTBlCmzf7nWkxu9C\n6aMYCrRQ1YGqenJgOyXSgRljwiMuDk491c0P9fXXcMEFboGkTz+Fiy6CevVg4ED4739hxQqvozUl\nlpNDtZ9/dpXHMKsQwjErgQRgb9ivbowpMyJwzDFue/RRd8Peq6+6CQc/+MBtAM2awVFHtWDFCnfs\nUUe5wsb4kCrMng0zZ8Krr9J5/Xro2RM6dw7rZUIpKHYD80XkM/IVFqp6dVgjMcaUmZo14dJL3bZp\nE7zzDnz0katlrFwJK1em8OGH7tjkZDfNeadO7ua+1q2hVSuoVcvbHMotVdeeOGOGKyBWr857aU+9\neiT++WfYLxlKQfF2YDPGxKC6dd2Q2pEj3V3d8+bBCy8sZ+PG5nz7LfzxB3z1ldvyO+wwOOIItzVt\nCo0bQ6NGbmvQAKrZjHDhtXq1KxymT3fjoHMdfjicdRacfTbfZ2TQp2/fsF+6yIJCVV8I+1WNMb4U\nHw/dusGuXevo06c5ABs3wk8/wfz5sGSJ2375BbZuddvs2cHPlZwM9etDSor7Ljv88AMf525JSWWY\nYLT56y/XPjh1qutgylWrlpvDZdgwt5pVbttgampEwiiwoBCRV1T1LBFZBBzSO6Kq7SMSkTHGV+rV\ngwED3JZLFf7803V+L18Oa9bs39atc1tamitQippOpFYtaNjQbY0auT6SZs1cTeXII8thQZKdDR9/\n7IakvfUW7A20+CclwZAhcO65cNJJbirhMlJYjeKawL+DyyIQY0z0EHG1g5QUN7fUwVTdH8N//HHg\ntmHDoc9t2+a2BQuCX6dpU9cv0qmT66Pt0sUVKjFn5Uo3F8sLL8D69e45ETj+eDdU7bTTXDXNAwUW\nFKq6IfDvmrIL51Ai0gwYC1RX1TO8jMUYExoR12Fesya0aVPwcTk5sGUL/P67W+Z1zRpYtcp9Z/72\nm6utuM51N5dVrkaNoE8ft/Xv75qwolJmpqs1PPWUG0mQq3lzGD7cFRA+KBVD6cwOOxF5DldT2aSq\nbfM9PwD4PyAeeFZV71PVlcBIEbE1MIyJMXFxrjO9bl1XUzjYvn2usFi82HWyz53rplZfu9Y120+d\n6o7r0cO1ypx9tmu28r0NG+Dpp932xx/uucRE1yl98cWumibibYz5eFJQAFOAJ4CpuU8E1uL+D3Ai\nsA74UUTeVtUlnkRojPFcxYqu2al1a/cdCq4WsmiR67f97DP45BM31foPP8Ctt0Lfvm4E12mn+bB/\nY/58ePhhN6w1M9M916oVjB4N553nqmA+VKxJAUWkJtBQVReW+sIiTYB3c2sUItITGKeq/QP7twCo\n6r2B/dcKa3oSkVHAKIB69ep1mTlzZmlDLBM2QVl0iuXcILryy8iIY+7cWsyaVZtZs+qwd288ADVq\n7OP009cxdOgfVK26fwmdMs9NlRrz5tF4+nRq/vSTeyouji3HHMP6U0/lr44dw1Z78GxSQCAVt0Z2\nLWAV8APwcFHvC+G8TYDF+fbPwDU35e6fj6t1HIZbfnUFcEso57ZJAf3Bcote0ZrfX3+pTpqk2qnT\n/okQk5NVb71VdccOd0yZ5ZaTo/ree6pHH70/mKpVVa+9VnXlyohcMlKTAhZZoxCRn1S1k4hcjKtN\n3CkiC7WUw2OD1CjOAAao6sWB/fOBHqp6ZTHOadOM+4jlFr2iPT9VmDevJi+91Ih581xzTo0a+7jg\ngtX07fsbNWpUiej1qy9YQLNnnqF64Ma4zGrV+P3MM/lj6FCyIvhz9bJGsQhIAT4GugWeW1jU+0I4\nbxMOrFH0BD7Kt38LIdYgDt6sRuEPllv0iqX8vv1W9Zhj9v9R37hxus6aFaGLLVmiOnDggfO6T5yo\nmpYWoQseyMsaxZnA7cA3qjo6MFz1QVU9vUTF1v7zNuHAGkUFYBnQD1gP/Aj8U1V/LugcQc5pNQof\nsdyiV6zlpwpff12bp55qxvr1lQEYNOgPLr10JcnJWUW8u2jxu3bRZOpU6v/vf8RlZ5OVlMTvZ5/N\nujPPJLty5VKfP1SeLlwU7g2YAWwAMnEjnEYGnh+IKyxWAGNLen6rUfiD5Ra9YjW/jAzV889fpQkJ\n7g/+v/1N9d13S3nS115TTUlxJxRRvfRS1U2bwhJvcXm5cFEzEXlHRDaLyCYReStQqygxVR2mqimq\nmqCqDVR1cuD591X1KFU9QlXvLs01jDHmYImJMGLEahYscFOo//knDB7sZtFNTy/mybZuhX/+060O\ntWGDu5lj9my3SHmdOhGJ3yuhND19j7u/YUbgqXOAq1S1R4RjKzZrevIXyy16xXJ+ubllZ8NrrzVk\n8uSmZGbGcfjhGYwdu5TWrXcWeY6as2fT8v77qbRtG9mJiawcNYr1Q4Z4vnCHl53Zh3RcAwuKep+X\nmzU9+YPlFr1iOb+Dc1u0SLVDB9dyFB+vevfdqllZBbw5O1t13DjXxASqxx6r+ttvEY85VJ41PQEf\niMgYEWkiIo1F5F/A+yJSS0Rs6RJjTFRr29bd1X3DDW7i1rFj4YQT3Ay4B9i6FQYNgnHj3P5dd8GX\nX7p5mWJcKE1Pqwp5WVXVNzOrWNOTv1hu0SuW8ysst9mza3Lffa3Yvr0i1aplcuONv9Kr1xYS//iD\n9jffTOV168isVo0lt9/O9q7BW2m8FFOjniK9WdOTP1hu0SuW8ysqt40bD7wVYsKpczSnTl2307Gj\n6tq1ZRNoCZR501OgiSn38ZkHvXZPiYosY4zxubp13ZTmjz4K/6jwCVe/0QfZvIm/up3gmpp8MO13\nWSuw6UlE5qlq54MfB9v3C2t68hfLLXrFcn6h5lZj7lza3jKWCpl7eZHzuESe5cxz/+T881dTsWLo\nk6mWpTJvegJ+CvY42L7fNmt68gfLLXrFcn4h5TZrlmrlyqqgWRdfqv+6MTtvoFOrVqpffRXxMEvE\ni1FPWsDjYPvGGBMbfvjBjW7avRuGDyf+qf9y/4NxfPklHHUULF0KvXrBZZe5JVzLg8IKig4islNE\n0oD2gce5++3KKD5jjCk7K1e6QiItDYYNg2efzbuJrlcvt6737bdDQoJbvbR5c9eXsW+fx3FHWLEW\nLvI766PwF8stesVyfgXlFp+eTucrr6TKmjVs7dGDxRMmoBWCLwK6alVlnnjiyLwpzOvX382FF67h\n+OM3ER/v3XeqDY+1PoqoY7lFr1jOL2humZmqAwa4TojWrfevclSInBw3oWDLlvuH0jZrpvr0027y\nQS94eWe2McbEtptugg8/hNq14Z13oFq1It8i4lqpFi6E555zzVArV8KoUVC/Ptx4I/z2WxnEXgas\noDDGlG9vvOE6GhIS4PXXoVnxJptISICLLoJffoGXXoLOnV0n90MPuc7vnj3hkUfg998jFH8ZsILC\nGFN+rV0LI0e6xw884HqsSyg+3vV/z50LP/7oTlu5Mnz/PVx/PTRqBJ06wb/+BZ98Art2hSmHMmAF\nhTGmfMrKgnPPhe3bXRvSNdeE7dRdu7oBU5s2wSuvuCUrkpJg/nx48EE46SSoXt3VPi6/HCZPdqNy\ni70mRhmxUU8eK4+jS2JBLOcGsZ1fbm5Nnn+eJlOnsrd2beY88wyZNWpE9Lr79sWxaFF15sypydy5\nNVmxoio5OXLIcXXr7qF+/QwOPzyDlJQ91Kmzlzp19nLYYXupVSuTKlWykEPfdkBuJVHYqKeYKihy\nde3aVefMmeN1GCFJTU2lT58+XocREZZb9Irl/FJTU+lTtapbkU4VPvsM+vYt8zh27XLNVN9/7+7P\nWLzY3cyXmVn4+ypVcgvo1arltpo1Xd979eqwfftqbrutCUcdVfx4RKTAgiL4IGFjjIlRkpkJI0ZA\nTo7rPPCgkACoUgV693ZbrsxMWLMGVqxwI6bWrnWd4L//7pZt3bjRNU+tWxdkvQwAmnDeeZSooCiM\nFRTGmHKl0cyZsGiRG900frzX4RwgIcENs23eHPr3D37M7t2webPrWtm2zf27cyfs2AELFqyiRYum\nYY/LCgpjTPmxZAmNX3zRPX72WTcsKcpUrgyNG7vtYKmpa2jcOPwFhY16MsaUDzk5cPHFxGVmwiWX\neNbkFI2soDDGlA9TpsB337H3sMPcPRMmZDE16smGx/qL5Ra9Yi2/CunpdD//fCr+9RfzbriBnYMH\nex1SRNikgDYpYNSx3KJXzOV33XVu1r5jj9UvPv/c62gixiYFNMaYkliyBB5/3K0r8fjjFHi3mimQ\nFRTGmNil6qbmyMpy07p27Oh1RFHJCgpjTOx67z349FN3+7LP7pmIJlZQGGNiU3Y2jBnjHt9+u1tr\nwpSIFRTGmNg0dSr8/DM0aeKmaDUlZgWFMSb2ZGTAHXe4xxMmuJn0TIlZQWGMiT2PPeZmzevUya0m\nZErFCgpjTGzZtg3uvdc9vv9+NyzWlIrvJwUUkSrAf4F9QKqqTvc4JGOMnz34oJtK9cQT3WZKzZOi\nVkSeE5FNIrL4oOcHiMivIrJcRALDFTgNeE1VLwFOKfNgjTHRY+NG1+wErm/ChIVXdbIpwID8T4hI\nPPAf4B9Aa2CYiLQGGgC/Bw7LLsMYjTHR5r773IINp5wC3bt7HU3M8KSgUNVZwLaDnu4OLFfVlaq6\nD5gJDAHW4QoLsD4VY0xB1q2DJ590j++6y9tYYoyf+ijqs7/mAK6A6AE8BjwhIoOAdwp6s4iMAkYB\n1KtXj9TU1MhFGkbp6elRE2txWW7RKxrzO/KRR6i/dy+b+vRhyfbtUED80ZhbqCKWW0GzBUZ6A5oA\ni/PtnwE8m2//fOCJkpzbZo/1B8stekVdfqtWqSYkqMbFqS5ZUuihUZdbMURq9lg/1SjWAw3z7TcI\nPBeyfOtRRM1fDPbXTXSK5dwg+vJr8eCDpGRm8ueJJ/LLxo2uU7sA0ZZbcZSHGkUFYCXQFKgILADa\nlOTcVqPwB8stekVVfitWqFaooBofr7psWZGHR1VuxRSpGoUnK9yJyAygD1Ab2AjcqaqTRWQg8CgQ\nDzynqncX87y2wp2PWG7RK5rya/HAA6R88AF/9u/PL7mTABYimnIrLlvhzmoUUcdyi15Rk9+KFa4m\nER+v+ttvIb0lanIrgZiqUUSK1Sj8xXKLXtGSX4v77yflww9Drk1A9ORWElajsBpF1LHcoldU5Ld8\nebFrE6pRklsJ2ZrZxhiT34QJbnGi88+H5s29jiamWdOTx6waHJ1iOTfwf35J69fT/YILAPhh6lT2\n1K8f8nv9nltpWNOTNT1FHcstevk+vwsuUAXVESOK/Vbf51YK1vRkjDEAy5bBtGlQoQKMHet1NOWC\nFRTGmOgyfjzk5MCFF0KzZl5HUy5YH4XHrL00OsVybuDf/JLWrqX7RRehIsyeNo09f/tbsc/h19zC\nwfoorI8i6lhu0cu3+Z1zjuubuOSSEp/Ct7mFgfVRGGPKt4ULYeZMqFgRbrvN62jKFSsojDHR4fbb\n3b+XXQaNGnkbSzljfRQes/bS6BTLuYH/8ktesoQuV1xBdmIi30+fTmatWiU+l99yCyfro7A+iqhj\nuUUv3+V3wgmub2LMmFKfyne5hZH1URhjyqfUVPj0U6hWDW66yetoyiUrKIwx/pWTs79wuPFGKEWT\nkyk5KyiMMf41cybMmQMpKXD99V5HU25ZZ7bHrGMtOsVybuCP/OL27aP7BReQuHEjv9x0E38OHBiW\n8/oht0ixzmzrzI46llv08kV+993nOrDbt1fNygrbaX2RW4RYZ7YxpvzYvBnuucc9njgR4uO9jaec\ns4LCGOM/d9wBO3fCgAFw4oleR1PuWUFhjPGXH36Ap55y04hPnOh1NAYrKIwxfpKV5aboUIUbboA2\nbbyOyGAFhTHGT554AubPh8aN98/tZDxnBYUxxh/Wr99fODz+OFSp4m08Jo/dR+ExG9MdnWI5N/Ag\nP1Xa3nYbtb/9ls3HHsvP48dH7FKx/NnZfRR2H0XUsdyiV5nnN2mSu2eienXVtWsjeqlY/uzsPgpj\nTGz69Ve47jr3+MknoWFDb+Mxh7CCwhjjnX374NxzISPD/TtsmNcRmSCsoDDGeOe222DuXDfK6T//\n8ToaUwArKIwx3njxRXjwQTc9x4svQvXqXkdkCmAFhTGm7H3zDVx8sXv82GPQq5e38ZhCWUFhjClb\nq1fDqae6/okrroDLL/c6IlMEKyiMMWVn/Xro39/NDnvSSfDoo15HZEJgBYUxpmysXQvHHQfLlkGH\nDvDyy27iP+N7vi8oRKSZiEwWkde8jsUYU0KrVkHv3rBiBXTpAp9/DjVqeB2VCVFECwoReU5ENonI\n4oOeHyAiv4rIchEZU9g5VHWlqo6MZJzGmAj66ivo2RPWrIEePeDTT6FWLa+jMsUQ6RrFFGBA/idE\nJB74D/APoDUwTERai0g7EXn3oK1uhOMzxkSKqhvRdPzxsHGj+/fjj60mEYUi2kCoqrNEpMlBT3cH\nlqvqSgARmQkMUdV7gcElvZaIjAJGBXbTReTXkp6rjNUGtngdRIRYbtEr/Pl9/rlf7pWI5c+uNLk1\nLugFL3qS6gO/59tfB/Qo6GAROQy4G+gkIrcECpRDqOrTwNPhDLQsiMgcLWjGxihnuUWvWM7Pcis+\n3w85UNWtwGVex2GMMeWVF6Oe1gP5p4dsEHjOGGOMD3lRUPwIHCkiTUWkInAO8LYHcfhF1DWXFYPl\nFr1iOT/LrZgiusKdiMwA+uA6WDYCd6rqZBEZCDwKxAPPqerdEQvCGGNMqcTUUqjGGGPCz/d3Zhtj\njPGWFRTGGGMKZQWFj4jIUBF5RkReFpGTvI4n3ESkiojMEZES31jpVyISJyJ3i8jjInKh1/GEk4g0\nEpE3A1PyFDrlTrQINodc4PfzhcD/wXO9jK+0CsivxN8vVlBEWHHmu1LVN1X1Etx9I2d7EW9xlGAu\nr5uBV8o2ypIrZn5DcEO9M3E3kfpaMXNrB7ymqiOATmUebIiK+X8t2Bxyp+HyvAQ4pYzCDllp8yvN\n94sVFJE3hRDnu8p3yG2B1/1uCqHP5XUisATYVNZBlsIUQv/sWgDfqur1wOgyjrMkphB6bt8DI0Xk\nc+DDMo6zOKZQ/P9r+TVg/6wR2RGKsTSmULr8chX7+8UKighT1VnAtoOezpvvSlX3ATOBIeLcD3yg\nqvPKOtbiKk5uuGHSRwP/BC4REd//7hUzv3XA9sAxfvySOUAxc7sIN7T9eGBQ2UYaumLmFMw6XGEB\nPvxuLG1+pfl+8d0Po5wINt9VfeAq4ATgDBGJ1mlLguamqmNV9VrgJeAZVc3xJLrSK+izex3oLyKP\nA7O8CCwMCsrtQ+BqEZkErPYgrtIImpOIHBbIp5OI3BJ47XXgdBF5EninjOMsqeLkV+LvF9/P9VSe\nqOpjwGNexxFJqjrF6xgiQVV3AzG5boqqLgbO8DqOcAo2h5yq7sLVnqJeAfmV+PvFahTeiOX5rmI5\nN4jt/GIxt1jMKb8yyc8KCm/E8nxXsZwbxHZ+sZhbLOaUX5nkZwVFhAXmu/oOaCEi60RkpKpmAVcC\nHwFLgVdU9Wcv4yyJWM4NYju/WMwtFnPKz8v8bK4nY4wxhbIahTHGmEJZQWGMMaZQVlAYY4wplBUU\nxhhjCmUFhTHGmEJZQdzI2AAAA2VJREFUQWGMMaZQVlAYY4wplBUUJmaJSLaIzM+3NSnGe5scPO+/\nn4hIioi8G3jcJ/dxvteniEiB8zOJyEQROT7ScZrYYJMCmliWoaodC3pRRCoE7myNRtcDz5Ti/Y8H\n3v95eMIxscxqFKZcEZHhIvJ2YBGezwLP3SQiP4rIQhH5d5D3NBORn0Skm4h8LyJt8r2WKiJdxS2j\n+ZyIzA4cOyTf9V4XkQ9F5DcReSDfeweIyDwRWSAiubF0F5HvAuf4VkRaFJDK6YSwiFAgttwa1SIR\nUQBVXQMcJiJ/C/2nZ8orq1GYWJYkIvMDj1ep6qmBx52B9qq6TdzawUfiFoAR4G0R6Q2sBQh8Uc8E\nhqvqAhF5GTgLuFNEUoAUVZ0jIvcAn6vqCBGpAcwWkU8D1+uIW0J0L/BrYM2KPbi/6Hur6ioRqRU4\n9hegl6pmicgJwD24QiGPiDQFtqvq3nxP98qXK0Aj4F1VnRO4PiLyIAcWLvOAY4D/hfwTNeWSFRQm\nlhXU9PSJquauFHZSYPspsF8VV3CsBeoAbwGnqeqSwOuvAB8Dd+IKjNfynecUEbkxsJ+I+7IG+ExV\ndwCIyBKgMVATmKWqqwDyxVMdeEFEjgQUSAgSfwqw+aDnvlLVwbk7IjIl/4sicjaugDwp39ObgMOD\nnN+YA1hBYcqjXfkeC3Cvqj6V/4BAx/cOXIFxLG69b1R1vYhsFZH2uAXqL8t3ntNV9deDztMDV5PI\nlU3h/+/GA1+o6qmBGFKDHJOBK4hCIiJtgXG42kv+ZVoTA+cyplDWR2HKu4+AESJSFUBE6otI3cBr\n+4BTgQtE5J/53vMy8C+guqouzHeeq0REAufpVMR1vwd6B5qRyNf0VJ39C88ML+C9y4AmRacGgWaw\nGcAFqnpwLeQowLcju4x/WEFhyjVV/Ri3jvd3IrII15SUnO/1XcBg4DoROSXw9Gu4BWJeyXeq8bhm\nooUi8nNgv7DrbgZGAa+LyAJc4QPwAHCviPxEATWPQEwrRKR5CCkOwTV1PZPbqQ0gIglAc2BOCOcw\n5ZytR2FMFBKRU4EuqnpbKd7fWVVvD29kJhZZH4UxUUhV3xCRw0pxigrAQ+GKx8Q2q1EYY4wplPVR\nGGOMKZQVFMYYYwplBYUxxphCWUFhjDGmUFZQGGOMKdT/A8psb6NmhVhhAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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KghYt3JKZefDSuHGltSlRzy0qNm6E55+HF16ANWsObM/MhDPOcE8/DhnifkER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\nGGNCsoLCGGNMSP8f949OW6m1Z/IAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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nn77mnJ9//pkRI0YAcN9999nqz2//5s2bGT58uG2/ofSpXFkbisxMnQfjo49K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\nEEXuB/YAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2ezdt2sSwYcNo2rQpZrOZkJAQFi1aREhICMuXL2fHjh28/PLLFZYxLCyM+Pji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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g9CdpK2sV5nM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}