Prg_alapjai,_7_előadás.ipynb

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  "metadata": {
    "colab": {
      "name": "Prg. alapjai, 7. előadás.ipynb",
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      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#Fájlkezelés\n",
        "\n",
        "1. Fájl megnyitása, fájl objektum létrehozása (*open()*, paraméterei: a fájl neve és a megnyitás módja. r --> olvasás, read)\n",
        "2. Műveletek végzése a fájlt reprezentáló objektummal (pl. a teljes tartalom szövegként történő beolvasása: *read()* metódussal)\n",
        "3. Fájl lezárása (*close()* metódussal)\n",
        "\n",
        "A fájl objektum érdekes adattagjai:\n",
        "- name: a megnyitott fájl neve\n",
        "- mode: megnyitás módja\n",
        "- closed: lezártuk-e már"
      ],
      "metadata": {
        "id": "d1W2hMIB9bN4"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jIpyg2nJ9YPD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1b6f348e-8b72-48a6-ad36-ae0e7920d221"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "A fájl neve: kisherceg20.txt, megnyitás módja: r, tartalma:\n",
            "\n",
            "Egy szép napon aztán, miután sokáig vándorolt homokon, sziklákon, havon keresztül, a kis herceg végre rábukkant egy útra.\n",
            "És az utak mind az emberekhez vezetnek.\n",
            "\n",
            "- Jó napot! - mondta.\n",
            "\n",
            "Virágzó rózsakert előtt állt.\n",
            "\n",
            "- Jó napot! - mondták a rózsák.\n",
            "\n",
            "A kis herceg csak nézte őket. Mind olyanok voltak, mint a virágja.\n",
            "\n",
            "- Kik vagytok? - kérdezte meghökkenten.\n",
            "- Rózsák vagyunk - felelték a rózsák.\n",
            "- Ó! - mondta a kis herceg.\n",
            "\n",
            "És nagyon boldogtalannak érezte magát. Neki a virágja azt mesélte, hogy sehol a világon nincsen párja; és most ott volt előtte ötezer, szakasztott ugyanolyan, egyetlen kertben!\n",
            "\"Hogy bosszankodnék, ha látná! - gondolta. - Iszonyatosan köhécselne, és úgy tenne, mint aki a halálán van, csak hogy nevetségessé ne váljék. Nekem pedig úgy kellene tennem, mintha ápolnám; különben még valóban meghalna, csak hogy megszégyenítsen...\"\n",
            "És utána még ezt gondolta: \"Azt hittem, gazdag vagyok, van egy párjanincs virágom; és lám, nincs, csak egy közönséges rózsám. Ezzel meg a három térdig érő vulkánommal, melyek közül az egyik talán egyszer s mindenkorra kialudt, igazán nem vagyok valami híres nagy herceg...\"\n",
            "Lefeküdt a fűbe, és sírni kezdett.\n",
            "\n",
            "A fájlt lezártuk, további műveletvégzés már nem lehetséges.\n"
          ]
        }
      ],
      "source": [
        "# letöltés helyi gépre (forrás: http://mek.oszk.hu/00300/00384/html/)\n",
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "f = open('kisherceg20.txt', 'r')\n",
        "print('A fájl neve: ', f.name, ', megnyitás módja: ', f.mode, ', tartalma:\\n\\n', f.read(), sep='')\n",
        "f.close()\n",
        "if f.closed:\n",
        "  print('\\nA fájlt lezártuk, további műveletvégzés már nem lehetséges.')\n",
        "# törlés\n",
        "!rm kisherceg20.txt"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Célravezetőbb a *with* használata, mert a fájl lezárása automatikusan megtörténik még akkor is, ha valamilyen hiba szakította félbe a program futását."
      ],
      "metadata": {
        "id": "SuO7HztZ3GMw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# letöltés helyi gépre\n",
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "with open('kisherceg20.txt', 'r') as f:\n",
        "  print('A fájl neve: ', f.name, ', megnyitás módja: ', f.mode, ', tartalma:\\n\\n', f.read(), sep='')\n",
        "# Nincs szükség explicit lezárásra, a *with* megteszi ezt automatikusan a behúzott blokk végén\n",
        "if f.closed:\n",
        "  print('\\nA fájlt lezártuk, további műveletvégzés már nem lehetséges.')\n",
        "# törlés\n",
        "!rm kisherceg20.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GShbKIxdzHjz",
        "outputId": "50975110-0bae-4559-e5db-a173717124f7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "A fájl neve: kisherceg20.txt, megnyitás módja: r, tartalma:\n",
            "\n",
            "Egy szép napon aztán, miután sokáig vándorolt homokon, sziklákon, havon keresztül, a kis herceg végre rábukkant egy útra.\n",
            "És az utak mind az emberekhez vezetnek.\n",
            "\n",
            "- Jó napot! - mondta.\n",
            "\n",
            "Virágzó rózsakert előtt állt.\n",
            "\n",
            "- Jó napot! - mondták a rózsák.\n",
            "\n",
            "A kis herceg csak nézte őket. Mind olyanok voltak, mint a virágja.\n",
            "\n",
            "- Kik vagytok? - kérdezte meghökkenten.\n",
            "- Rózsák vagyunk - felelték a rózsák.\n",
            "- Ó! - mondta a kis herceg.\n",
            "\n",
            "És nagyon boldogtalannak érezte magát. Neki a virágja azt mesélte, hogy sehol a világon nincsen párja; és most ott volt előtte ötezer, szakasztott ugyanolyan, egyetlen kertben!\n",
            "\"Hogy bosszankodnék, ha látná! - gondolta. - Iszonyatosan köhécselne, és úgy tenne, mint aki a halálán van, csak hogy nevetségessé ne váljék. Nekem pedig úgy kellene tennem, mintha ápolnám; különben még valóban meghalna, csak hogy megszégyenítsen...\"\n",
            "És utána még ezt gondolta: \"Azt hittem, gazdag vagyok, van egy párjanincs virágom; és lám, nincs, csak egy közönséges rózsám. Ezzel meg a három térdig érő vulkánommal, melyek közül az egyik talán egyszer s mindenkorra kialudt, igazán nem vagyok valami híres nagy herceg...\"\n",
            "Lefeküdt a fűbe, és sírni kezdett.\n",
            "\n",
            "A fájlt lezártuk, további műveletvégzés már nem lehetséges.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Adott hosszúságú töredékek beolvasása is lehetséges a fájlból, ha a karakterek maximális mennyiségét paraméterként megadjuk a *read()*-nek. Ha elértük a fájl végét, üres stringet kapunk vissza."
      ],
      "metadata": {
        "id": "3nDomlbD2ukZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "with open('kisherceg20.txt', 'r') as f:\n",
        "  while True:\n",
        "    toredek = f.read(20)\n",
        "    if toredek != '':\n",
        "      print(toredek)\n",
        "    else:\n",
        "      break\n",
        "!rm kisherceg20.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pr9Q4WMsz8LK",
        "outputId": "4f118dbb-fb79-4cf2-b7b6-a3d22830c22b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Egy szép napon aztán\n",
            ", miután sokáig vánd\n",
            "orolt homokon, szikl\n",
            "ákon, havon keresztü\n",
            "l, a kis herceg végr\n",
            "e rábukkant egy útra\n",
            ".\n",
            "És az utak mind az\n",
            " emberekhez vezetnek\n",
            ".\n",
            "\n",
            "- Jó napot! - mon\n",
            "dta.\n",
            "\n",
            "Virágzó rózsak\n",
            "ert előtt állt.\n",
            "\n",
            "- J\n",
            "ó napot! - mondták a\n",
            " rózsák.\n",
            "\n",
            "A kis herc\n",
            "eg csak nézte őket. \n",
            "Mind olyanok voltak,\n",
            " mint a virágja.\n",
            "\n",
            "- \n",
            "Kik vagytok? - kérde\n",
            "zte meghökkenten.\n",
            "- \n",
            "Rózsák vagyunk - fel\n",
            "elték a rózsák.\n",
            "- Ó!\n",
            " - mondta a kis herc\n",
            "eg.\n",
            "\n",
            "És nagyon boldo\n",
            "gtalannak érezte mag\n",
            "át. Neki a virágja a\n",
            "zt mesélte, hogy seh\n",
            "ol a világon nincsen\n",
            " párja; és most ott \n",
            "volt előtte ötezer, \n",
            "szakasztott ugyanoly\n",
            "an, egyetlen kertben\n",
            "!\n",
            "\"Hogy bosszankodné\n",
            "k, ha látná! - gondo\n",
            "lta. - Iszonyatosan \n",
            "köhécselne, és úgy t\n",
            "enne, mint aki a hal\n",
            "álán van, csak hogy \n",
            "nevetségessé ne válj\n",
            "ék. Nekem pedig úgy \n",
            "kellene tennem, mint\n",
            "ha ápolnám; különben\n",
            " még valóban meghaln\n",
            "a, csak hogy megszég\n",
            "yenítsen...\"\n",
            "És után\n",
            "a még ezt gondolta: \n",
            "\"Azt hittem, gazdag \n",
            "vagyok, van egy párj\n",
            "anincs virágom; és l\n",
            "ám, nincs, csak egy \n",
            "közönséges rózsám. E\n",
            "zzel meg a három tér\n",
            "dig érő vulkánommal,\n",
            " melyek közül az egy\n",
            "ik talán egyszer s m\n",
            "indenkorra kialudt, \n",
            "igazán nem vagyok va\n",
            "lami híres nagy herc\n",
            "eg...\"\n",
            "Lefeküdt a fű\n",
            "be, és sírni kezdett\n",
            ".\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ennél gyakrabban van azonban szükségünk arra, hogy a fájlból sorokat olvassunk ki. Ezt a *readline()* függvénnyel tehetjük meg (a sor tartalmazza a sorvég jelet is)."
      ],
      "metadata": {
        "id": "NmzQXNt_4yZQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "with open('kisherceg20.txt', 'r') as f:\n",
        "  sorszam = 0\n",
        "  while True:\n",
        "    sor = f.readline()\n",
        "    if sor != '':\n",
        "      print(sorszam, ':', sor, end='')\n",
        "      sorszam += 1\n",
        "    else:\n",
        "      break\n",
        "!rm kisherceg20.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IT0JNMFa49xr",
        "outputId": "0aece636-129a-4711-ba2e-aba8d112e200"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0 : Egy szép napon aztán, miután sokáig vándorolt homokon, sziklákon, havon keresztül, a kis herceg végre rábukkant egy útra.\n",
            "1 : És az utak mind az emberekhez vezetnek.\n",
            "2 : \n",
            "3 : - Jó napot! - mondta.\n",
            "4 : \n",
            "5 : Virágzó rózsakert előtt állt.\n",
            "6 : \n",
            "7 : - Jó napot! - mondták a rózsák.\n",
            "8 : \n",
            "9 : A kis herceg csak nézte őket. Mind olyanok voltak, mint a virágja.\n",
            "10 : \n",
            "11 : - Kik vagytok? - kérdezte meghökkenten.\n",
            "12 : - Rózsák vagyunk - felelték a rózsák.\n",
            "13 : - Ó! - mondta a kis herceg.\n",
            "14 : \n",
            "15 : És nagyon boldogtalannak érezte magát. Neki a virágja azt mesélte, hogy sehol a világon nincsen párja; és most ott volt előtte ötezer, szakasztott ugyanolyan, egyetlen kertben!\n",
            "16 : \"Hogy bosszankodnék, ha látná! - gondolta. - Iszonyatosan köhécselne, és úgy tenne, mint aki a halálán van, csak hogy nevetségessé ne váljék. Nekem pedig úgy kellene tennem, mintha ápolnám; különben még valóban meghalna, csak hogy megszégyenítsen...\"\n",
            "17 : És utána még ezt gondolta: \"Azt hittem, gazdag vagyok, van egy párjanincs virágom; és lám, nincs, csak egy közönséges rózsám. Ezzel meg a három térdig érő vulkánommal, melyek közül az egyik talán egyszer s mindenkorra kialudt, igazán nem vagyok valami híres nagy herceg...\"\n",
            "18 : Lefeküdt a fűbe, és sírni kezdett."
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ugyanez tömörebben, *readline()* hívás nélkül, a fájl iterálásával:"
      ],
      "metadata": {
        "id": "C7ZNTSqN7FB3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "with open('kisherceg20.txt', 'r') as f:\n",
        "  sorszam = 0\n",
        "  for sor in f:\n",
        "      # print(sorszam, ':', sor, end='')\n",
        "      print(sorszam, ':', sor.rstrip('\\n')) # a sorvég jel levágása utáni nyomtatás\n",
        "      sorszam += 1\n",
        "!rm kisherceg20.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1ExhtvFs6mYL",
        "outputId": "309e9a4c-a906-4431-b3ce-3b52a7ae933c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0 : Egy szép napon aztán, miután sokáig vándorolt homokon, sziklákon, havon keresztül, a kis herceg végre rábukkant egy útra.\n",
            "1 : És az utak mind az emberekhez vezetnek.\n",
            "2 : \n",
            "3 : - Jó napot! - mondta.\n",
            "4 : \n",
            "5 : Virágzó rózsakert előtt állt.\n",
            "6 : \n",
            "7 : - Jó napot! - mondták a rózsák.\n",
            "8 : \n",
            "9 : A kis herceg csak nézte őket. Mind olyanok voltak, mint a virágja.\n",
            "10 : \n",
            "11 : - Kik vagytok? - kérdezte meghökkenten.\n",
            "12 : - Rózsák vagyunk - felelték a rózsák.\n",
            "13 : - Ó! - mondta a kis herceg.\n",
            "14 : \n",
            "15 : És nagyon boldogtalannak érezte magát. Neki a virágja azt mesélte, hogy sehol a világon nincsen párja; és most ott volt előtte ötezer, szakasztott ugyanolyan, egyetlen kertben!\n",
            "16 : \"Hogy bosszankodnék, ha látná! - gondolta. - Iszonyatosan köhécselne, és úgy tenne, mint aki a halálán van, csak hogy nevetségessé ne váljék. Nekem pedig úgy kellene tennem, mintha ápolnám; különben még valóban meghalna, csak hogy megszégyenítsen...\"\n",
            "17 : És utána még ezt gondolta: \"Azt hittem, gazdag vagyok, van egy párjanincs virágom; és lám, nincs, csak egy közönséges rózsám. Ezzel meg a három térdig érő vulkánommal, melyek közül az egyik talán egyszer s mindenkorra kialudt, igazán nem vagyok valami híres nagy herceg...\"\n",
            "18 : Lefeküdt a fűbe, és sírni kezdett.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A *readlines()* listába tölti a fájl összes sorát."
      ],
      "metadata": {
        "id": "VInJpeg57hhE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "with open('kisherceg20.txt', 'r') as f:\n",
        "  sorok = f.readlines()\n",
        "  sorszam = 0\n",
        "  for sor in sorok:\n",
        "      print(sorszam, ':', sor, end='')\n",
        "      sorszam += 1\n",
        "!rm kisherceg20.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z-A2VdVy7V-V",
        "outputId": "896627a9-7e98-466e-ca96-aad8fb05dd1e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0 : Egy szép napon aztán, miután sokáig vándorolt homokon, sziklákon, havon keresztül, a kis herceg végre rábukkant egy útra.\n",
            "1 : És az utak mind az emberekhez vezetnek.\n",
            "2 : \n",
            "3 : - Jó napot! - mondta.\n",
            "4 : \n",
            "5 : Virágzó rózsakert előtt állt.\n",
            "6 : \n",
            "7 : - Jó napot! - mondták a rózsák.\n",
            "8 : \n",
            "9 : A kis herceg csak nézte őket. Mind olyanok voltak, mint a virágja.\n",
            "10 : \n",
            "11 : - Kik vagytok? - kérdezte meghökkenten.\n",
            "12 : - Rózsák vagyunk - felelték a rózsák.\n",
            "13 : - Ó! - mondta a kis herceg.\n",
            "14 : \n",
            "15 : És nagyon boldogtalannak érezte magát. Neki a virágja azt mesélte, hogy sehol a világon nincsen párja; és most ott volt előtte ötezer, szakasztott ugyanolyan, egyetlen kertben!\n",
            "16 : \"Hogy bosszankodnék, ha látná! - gondolta. - Iszonyatosan köhécselne, és úgy tenne, mint aki a halálán van, csak hogy nevetségessé ne váljék. Nekem pedig úgy kellene tennem, mintha ápolnám; különben még valóban meghalna, csak hogy megszégyenítsen...\"\n",
            "17 : És utána még ezt gondolta: \"Azt hittem, gazdag vagyok, van egy párjanincs virágom; és lám, nincs, csak egy közönséges rózsám. Ezzel meg a három térdig érő vulkánommal, melyek közül az egyik talán egyszer s mindenkorra kialudt, igazán nem vagyok valami híres nagy herceg...\"\n",
            "18 : Lefeküdt a fűbe, és sírni kezdett."
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Szavanként is megjeleníthetjük a fájl tartalmát a string *split()* metódusát használva. (Alapértelmezetten minden fehér karakter mentén tördel, de átparaméterezhető.)"
      ],
      "metadata": {
        "id": "01uc2th0Ih0r"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/kisherceg20.txt\n",
        "with open('kisherceg20.txt', 'r') as f:\n",
        "  for szo in f.read().split():\n",
        "    print(szo)\n",
        "!rm kisherceg20.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WqF0Qr5rIp17",
        "outputId": "9454337b-ad16-4428-95db-7913c62e588e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Egy\n",
            "szép\n",
            "napon\n",
            "aztán,\n",
            "miután\n",
            "sokáig\n",
            "vándorolt\n",
            "homokon,\n",
            "sziklákon,\n",
            "havon\n",
            "keresztül,\n",
            "a\n",
            "kis\n",
            "herceg\n",
            "végre\n",
            "rábukkant\n",
            "egy\n",
            "útra.\n",
            "És\n",
            "az\n",
            "utak\n",
            "mind\n",
            "az\n",
            "emberekhez\n",
            "vezetnek.\n",
            "-\n",
            "Jó\n",
            "napot!\n",
            "-\n",
            "mondta.\n",
            "Virágzó\n",
            "rózsakert\n",
            "előtt\n",
            "állt.\n",
            "-\n",
            "Jó\n",
            "napot!\n",
            "-\n",
            "mondták\n",
            "a\n",
            "rózsák.\n",
            "A\n",
            "kis\n",
            "herceg\n",
            "csak\n",
            "nézte\n",
            "őket.\n",
            "Mind\n",
            "olyanok\n",
            "voltak,\n",
            "mint\n",
            "a\n",
            "virágja.\n",
            "-\n",
            "Kik\n",
            "vagytok?\n",
            "-\n",
            "kérdezte\n",
            "meghökkenten.\n",
            "-\n",
            "Rózsák\n",
            "vagyunk\n",
            "-\n",
            "felelték\n",
            "a\n",
            "rózsák.\n",
            "-\n",
            "Ó!\n",
            "-\n",
            "mondta\n",
            "a\n",
            "kis\n",
            "herceg.\n",
            "És\n",
            "nagyon\n",
            "boldogtalannak\n",
            "érezte\n",
            "magát.\n",
            "Neki\n",
            "a\n",
            "virágja\n",
            "azt\n",
            "mesélte,\n",
            "hogy\n",
            "sehol\n",
            "a\n",
            "világon\n",
            "nincsen\n",
            "párja;\n",
            "és\n",
            "most\n",
            "ott\n",
            "volt\n",
            "előtte\n",
            "ötezer,\n",
            "szakasztott\n",
            "ugyanolyan,\n",
            "egyetlen\n",
            "kertben!\n",
            "\"Hogy\n",
            "bosszankodnék,\n",
            "ha\n",
            "látná!\n",
            "-\n",
            "gondolta.\n",
            "-\n",
            "Iszonyatosan\n",
            "köhécselne,\n",
            "és\n",
            "úgy\n",
            "tenne,\n",
            "mint\n",
            "aki\n",
            "a\n",
            "halálán\n",
            "van,\n",
            "csak\n",
            "hogy\n",
            "nevetségessé\n",
            "ne\n",
            "váljék.\n",
            "Nekem\n",
            "pedig\n",
            "úgy\n",
            "kellene\n",
            "tennem,\n",
            "mintha\n",
            "ápolnám;\n",
            "különben\n",
            "még\n",
            "valóban\n",
            "meghalna,\n",
            "csak\n",
            "hogy\n",
            "megszégyenítsen...\"\n",
            "És\n",
            "utána\n",
            "még\n",
            "ezt\n",
            "gondolta:\n",
            "\"Azt\n",
            "hittem,\n",
            "gazdag\n",
            "vagyok,\n",
            "van\n",
            "egy\n",
            "párjanincs\n",
            "virágom;\n",
            "és\n",
            "lám,\n",
            "nincs,\n",
            "csak\n",
            "egy\n",
            "közönséges\n",
            "rózsám.\n",
            "Ezzel\n",
            "meg\n",
            "a\n",
            "három\n",
            "térdig\n",
            "érő\n",
            "vulkánommal,\n",
            "melyek\n",
            "közül\n",
            "az\n",
            "egyik\n",
            "talán\n",
            "egyszer\n",
            "s\n",
            "mindenkorra\n",
            "kialudt,\n",
            "igazán\n",
            "nem\n",
            "vagyok\n",
            "valami\n",
            "híres\n",
            "nagy\n",
            "herceg...\"\n",
            "Lefeküdt\n",
            "a\n",
            "fűbe,\n",
            "és\n",
            "sírni\n",
            "kezdett.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Fájl írása: \n",
        "1. meg kell változtatni a fájl megnyitási módját!\n",
        "\n",
        "- 'r': olvasás (read)\n",
        "- 'w': írás (write)\n",
        "- 'a': hozzáfűzés a fájl végéhez (append)\n",
        "- 'r+': olvasás és írás, a fájl korábbi adatai megmaradnak\n",
        "- 'w+': olvasás és írás, a fájl korábbi adatai felülírásra kerülnek\n",
        "- 'a+': olvasás és hozzáfűzés, a fájl korábbi adatai megmaradnak.\n",
        "\n",
        "2. A *write()* metódussal tudunk új sorokat írni a fájlba."
      ],
      "metadata": {
        "id": "WxayqLXX9PBG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# létrehozás\n",
        "FAJLNEV = 'akos.txt'\n",
        "with open(FAJLNEV, 'w') as f:\n",
        "  f.write('És akinél bárki másnak mindig szabad a pálya\\n')\n",
        "  f.write('A mindenki babája, aki a csípejét riszálja\\n')\n",
        "  f.write('Nekem bezzeg nemet mondott\\n')\n",
        "  f.write('Nevette a gondot\\n')\n",
        "  # forrás: https://www.dalszoveg24.hu/lyrics-magyar-dalszovegek/akos-ennyi-nem-eleg-dalszoveg-lyrics\n",
        "# ellenőrzés, visszaolvasás\n",
        "with open(FAJLNEV, 'r') as f:\n",
        "  print(f.read())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1pQUt20T-p29",
        "outputId": "877397de-546c-4c4e-f77e-8dea15b6b8d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "És akinél bárki másnak mindig szabad a pálya\n",
            "A mindenki babája, aki a csípejét riszálja\n",
            "Nekem bezzeg nemet mondott\n",
            "Nevette a gondot\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Most, hogy már tudunk olvasni és írni, másolni is tudunk."
      ],
      "metadata": {
        "id": "befnn0cWArmY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def masol(cel: str, forras: str):\n",
        "  \"\"\"Fájl másolása\n",
        "\n",
        "  Parameters\n",
        "  ----------\n",
        "  cel : str\n",
        "    A másolat fájl azonosítója\n",
        "  forras : str\n",
        "    Az eredeti fájl azonosítója\n",
        "  \"\"\"\n",
        "\n",
        "  with open(forras, 'r') as be:\n",
        "    with open(cel, 'w') as ki:\n",
        "      for sor in be:\n",
        "        ki.write(sor)\n",
        "\n",
        "def hasonlit(a: str, b: str) -> bool:\n",
        "  \"\"\"Két fájl tartalmának összehasonlítása\n",
        "\n",
        "  Parameters\n",
        "  ----------\n",
        "  a : str\n",
        "    Az egyik összehasonlítandó fájl azonosítója\n",
        "  b : str\n",
        "    A másik  összehasonlítandó fájl azonosítója\n",
        "\n",
        "  Returns\n",
        "  -------\n",
        "  bool\n",
        "    Igaz értéket szolgáltat, ha a két fájl tartalma megegyezik.\n",
        "  \"\"\"\n",
        "\n",
        "  with open(a) as be_a:\n",
        "    with open(b) as be_b:\n",
        "      return be_a.read() == be_b.read()\n",
        "\n",
        "masol('akos2.txt', 'akos.txt')\n",
        "if hasonlit('akos.txt', 'akos2.txt'):\n",
        "  print('Egyformák.')\n",
        "else:\n",
        "  print('Különböznek.')\n",
        "\n",
        "!rm akos2.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H4aGQl7dAv9f",
        "outputId": "0e084d0b-4498-42c5-9f3e-95cbd279608c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Egyformák.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Lássunk egy példát a hozzáfűzésre is!"
      ],
      "metadata": {
        "id": "Jd_k9MRkDqDj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "with open('akos.txt', 'a') as f:\n",
        "  f.write('\\nÁkos: Ennyi nem elég (részlet)')\n",
        "\n",
        "# ellenőrzés\n",
        "with open('akos.txt', 'r') as f:\n",
        "  print(f.read())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9hh5BVAaDvDO",
        "outputId": "fe6d8d6d-c65b-46b0-a97c-b8b20d8b10f6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "És akinél bárki másnak mindig szabad a pálya\n",
            "A mindenki babája, aki a csípejét riszálja\n",
            "Nekem bezzeg nemet mondott\n",
            "Nevette a gondot\n",
            "\n",
            "Ákos: Ennyi nem elég (részlet)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Egyszerű adatfájlok feldolgozása\n",
        "\n",
        "Gyakran használunk szövegfájlokat mátrix jellegű adatok tárolására. Minden sor külön szövegsorba kerül, az oszlopokat pl. tabulátor karakter választja el egymástól."
      ],
      "metadata": {
        "id": "-VE-4Ym-LWjY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def kiir(mtx, fajl):\n",
        "  with open(fajl, 'w') as f:\n",
        "    for sor in mtx:\n",
        "      f.write('\\t'.join(sor) + '\\n')\n",
        "\n",
        "def beolvas(fajl):\n",
        "  mtx = []\n",
        "  with open(fajl, 'r') as f:\n",
        "    for sor in f:\n",
        "      mtx.append(sor.rstrip('\\n').split('\\t'))\n",
        "  return mtx\n",
        "\n",
        "m = [\n",
        "     ['a1', 'a2', 'a3'],\n",
        "     ['b1', 'b2', 'b3'],\n",
        "     ['c1', 'c2', 'c3']\n",
        "]\n",
        "\n",
        "kiir(m, 'matrix.txt')\n",
        "!cat matrix.txt\n",
        "print(beolvas('matrix.txt'))\n",
        "!rm matrix.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2Nwku7LHLo8K",
        "outputId": "798337f9-890c-42ee-ccea-67ccf124bd09"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "a1\ta2\ta3\n",
            "b1\tb2\tb3\n",
            "c1\tc2\tc3\n",
            "[['a1', 'a2', 'a3'], ['b1', 'b2', 'b3'], ['c1', 'c2', 'c3']]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## CSV fájlok használata\n",
        "\n",
        "Ennél egy fokkal kifinomultabb megoldás a CSV (Comma Separated Values) fájlok használata. Ez is egy struktúrált szövegfájl, de a legtöbb táblázatkezelő program ismeri, támogatja. Sajnos vannak alkalmazásfüggő eltérések, pl. a különböző nyelvi beállítások esetén a fájl tartalma eltérő lesz. Magyar Excel esetén a cellákat ; választja el egymástól, angol Excelben , karakter. A Python külön [modullal](https://docs.python.org/3/library/csv.html) rendelkezik a CSV fájlok kezeléséhez.\n",
        "\n",
        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0Tyj8A1D43asruJ7pCrvBRAdgQgz6h8zNVQIDbR0Gvf20hl6ke85uFRalyTJU8VSkxrenpsr7oH2gsBFIjJBLrcqsYNRhgJ/DIiEj0QYfjpKf8USc4ro/TKZ8PUmK7L/7Jly465Xvj/7LPP9jq4XwU4ceIEpguUNz7510+Knoy4Y4yMnd5w4jjr8+8boFcF2Y/vvx6910hfvOV+zc/9NX10Xfe7foh0ZgDHRzw1MZvXdc8g2CK++W/sIsuboDhDsc+uewnX0qK3Vhu7ireqvhc8eMPPZ4w4b8qAIl7ci8pwauWp/dKwOHNGQwzE3Uf39hxVEcDIS5FISbdeEcBw6U6vjziIDximETCdCWGUHQJPh8CVgyPiAkaYPikNLjD4rNLgE7kKGvHLyvSlP2l/7uofFvYGAE5c3VlBWL2BpeKx0Ecg81TFiXHqEyn1vNp9mvZ7Fz2OSkb1ZmJyOnw21/CL6LkmlFgcwvlpAYx6yIJOcvTkcZSDxJhqIIZmkDgKlZ8JZz2HS3pG3QEqASnpFHAg/aDdh/dC96OUMBxIPy8P08Z0Xf63bNkihT00TU1NlDc++c9rOFMjY6c39A2MBkY9kKF36VPVkizE6/poo5Zjh813/RB/y0XQ/uajB2XeArUfFov8IwYWkKBE+7c7r7zqsTEvbKhFmQePHOo7daCRoBT737dfLn7eZ8aIHz/w23+98+dnjbd2G6CcDW2qBlyEjVEVMdikBLhU1C19MVzOHI0Zg54eo+ruzPvYMBIMd4H6+F6okT9k8AdXNV3AdIXrYqbSkDYUNuKXk2WX/tunBdmHj+ysKuZHABO1Mb3dr7tj0PzmyCJfd/c0erFfhLUvuGatoF/Wc43ppN9gz549UtVDc/jwYcor5T/3BTFpxco/m0VzP7YP//vNRjcoQvth0cs/bepKbyQo0aD9VBrW/R/u3/WbJ8YbCUq3/3vnlZdOG4oZwM+d7/thGWokYCvAxvQW4+mQC/UBMWuDLhA/DoMJb7G/W8Lmad3G9V47+u93Dj8zjK0e8/dG9jI071XvsGJGPd0wOsF6jL/knX3v7zy8X0Tm3oyVhuE1N6Ovub6Cpcv/xx9/LFU9NJ999hnllfLvmgnBop0JsSVjRb+yZ1wLYipc1A8/RCP/UGJSd7qQVFhdWo5eHz/68cdG3iIM8r+ndd/qd+omLfwDVurG3qgMbv9wUr+Lfn/TT6cPZfkvziDqZv8ONiywiv31EraKMCiru0f5/6R5XsNlTveZYNn7257yD4nVMvqaS/thSv5ffvnlL774Qqp6aNra2ii7lP/cwskq+sLBuY/sJZYQCBiGhQeUsjwt9+8bRLcxEgSYllGY8/OahRqqLgL571bV98Glz0Dvgw3a/8CSp4y8bJ3TPIfpkIZlFt8JYPOzsb3F4GX0GVikd7/Nwh0TcuJKmWNe2g9T8r9s2bIO7Xs9IUGWV155Rcq/19QE5ZueVIhB9T3/nYEthKECI5B/NjbdvEfnQkzcyyrtP0zZOrl5LrKjmzh63mDPM8Pw0X6Ykv9Vq1ZJSS8EyP/atWtJ/j0vLnHihjMVYN7vQLCFNtQhyz9bZObxAxRuw2wdafxeBdAt9JMwtkq0sb2N26cw0amK/flb3bynsIP8/1jPX/thPYZcSPL/+uuvS0kvEPr/X8i/9/VVee/9sfaXaHTHiOWfLRoL0n5IPkYo973Tsb3F7bth/lMBngGwBVvma4E5NrTU9wE977HDPPowbKzrJ1c1ExfF2N5QbtjGt96i9wwKtfVvvEElGIWTVdx7f7n/aycME0GYs67IMcwSnOfc5WKuCauZwM+KzuhvqEmWf7YIzFf7IfxhVmPOA13vMZRnAGzB5tX30Je8pTq0efdGn6//oZObKR2DY2EmIkKoXHnd/nsuecWZ5ibr5JZ7o8X9Izlla8V/zQ8Zjd4Y0ajI8s8WgXlMTmGYYBa0CPO6nQuL6z0ArCFoIowJSomLRTbbJtrR1XMK7oGaeWotzE9s3DOAkNoPc8u/uDdrHMjnn/4ran4MBdXf9fOopTI2s5XDNZzHyiq6Fmf5ZyvVPAY+fBb7CNZz2I34Ih9lvjAsJtdRPDNms2muZhUtCw0urvP43P/HIG6mzJh+IYTXfmHw0G252T3vEMBESi1Z5zZTCNPz0oMxrInu4Urjtli1H8byz1aauR58kvYLyzxkCmnqtW2PGUC4qyWU+T+praiRtHPa2N7e08eibiD5Kq5/aTQDKEz7w5j7aTdZhNdF2ZupoK7/wy1fy/0dybDdw/X3/5H3K5Z/tpJMKLfWQWE0OPoNnQGmq6/HU4CIVuc5Dg+6QL/AxNXlSs+WPhvp9R4+GrfQrwX63ABA4UEzxZFRP0tyP/rNWAVNWItT0DIw/Z6Q8Dz0ywoeNwyiPmWWf7YSzL2SzihoifIfUHKJlnVMvcbl+RvvbJqJtkB1YWKXll9kiuhvAvy6cWLy4/tSLSyiKyIFlnvzw/1/uOVrxouKoWdsCWg/jOWfrXgzJ7bo3OoGfony7yrcnaA4yxaobif4vVTF5mVCjdLysqTnxG5YISOpf99IZgbg/VJtIUKSeitWQe2b+7ZNuFuYpvbH9u0GIf/dnL83TZGR6/9P/38rEyN/KtDMsUl7LaVQ+fe8qs03uaJ40yfrWGb4dj+/YMtrYlzTXtcoX4N4uLtiIeNpQPeIdwbg8x6DtPS89VaKiZsfRSmodfO4bROuyYxlT6zfbGT5j8DInwo0vZvC9DurQfLvvOjnNreWiHgtoxhtcxMUYTll5j77ZyvGMOcr80mA86sSptuw0Aoa0ElimgEE3fOP6EJIgbnefQvfZNbNHADDvbGfpPbDWP4jMPKn4iz3xShM0vW9AfJfwIjpevfKTFCEQQxcXw+DVdDd1CIMDQEF9ao3mLwTEP+d8JLM63d5RVcMM3dxr0E1Ez0/2p7j5aqyND35Ls3Me+DpedXf9DzcdM3U/twFVRzG8h+BjVw2lVwqE0vIH+PBam4X1+Uf/qgwWfgZgDEORjLOCn+M2UnMs+xgS1P/wTzA50eaRWTJN2bjrQqv35UKdjvrT6AkCyvolQIfw6JfdE6jZM0qZ5Jq3LApYM1g3Yr7koLrFYfSr6a8xvIfgaVp+I7OjOvTuC8XLP+wkFeFodORjH2yfmhFC7dt/2R6+voP3U73vBlQ2kQqiaoo5G8CdH+MxZnbRLHF3gWB8CMvSsARjWKVJSMJ5WBGVYsbHinRfg/Pw1wO7sllIg3N8h+BpW/4jsKEAOj9NVj+vV5iCjMDiFH+y8bS6o8zCfCQUhhatqiW0g8tOlhmhlGKsnqY15N1HMLts1EVeWcA0oZdWMCc0vnXK5UXR1Rh3SpH+w0tjPv5d5TmWsGH8tyt/bljaXzG8h+BpXX4Ls3E6OzfZQ35Rxf3HDrFDEDL5TaW/+StMH8wCfB7Qb3w++Hq0EXPF8Ob2YHJcruxR1W4B+sAQ+9FgcOdv7vUbbjzuqtrCgLDEY0YmJBAr/kEBsPumunDY0ot2lf9qUKSqZziPPd4xzPcS4KRGMt/BJbu4btYM0fPfPIvIj0XT4HdneU/eSvGH6+f2YGJAREdI7Rm06G9+wlZbjcr1TArdT3CEJOMTDfzrgrMALxONhLDEY0Y3R/dIGkj5zxQv3fbqS8/b+/owOeWvdtG1tyvRsjUmYcWltDcqJ9Bz9375o6tJ784Bduwvf7mP90TU+UU57ld7Yex/EdgnWH4LtzQvwM6rqf8i/gCZwDG5eE5DhZqZd1ezhsJ5qCQrMEfIyYxMw6N2YNY9QbILeIxziJN0XcFvO5eiOM6v13t21Xo7YfcXJGYXgPihr/P5AnaVl23FJK/8K9rzpvSHzHn3zdg0ea1iJldt1QNkumygN8RKdRQP0+snbfz8P4hf574r3deARsya+KuI82Pr5kXR+UU47nnT/obaWK2COS/x/iLlXUff7ERr8JGoBQj13UB/vsB/6GH9c2QZmShTRUZXKB7jEDnU6YcLtqCC3Hv9fTHiCnaskUZv8SZ23f95F/sGtGrh3aXDGGxmblgcC7ZQ2CQzSQjE9dMyefiN6aj5IDCSzlucF7pD4TfqTTUhn4XEWFVXXpYBYo2vTTd4I8RA0NKI7Gx6VdaQWYeekQvapTuo3ujcL1adJPHHXYhkukVW4B5/k3A0As9uwp1UfLKuHkQ4KRuAXWVrQH/Z95wAOt+KP3w6ilmfM39iB9Rc58en9fodIxIOk18GvGlm2exxnRKjCfFTulQ+MDn7t1+aN+/3fULPf7f7/rFjkP7bv7TPXqkbgH1YETqZkwfQ3qeN5enM9FaqfIPOf/b3/7W3tEBa2tvX9W4QcXX731/854mhK/5Q1Vbe9tVT4xFJJJd/cQ4SlO0ketKfaHN7R3tF0++AeH/cd1/HD1xfOOH76i9YUwvAfYP13//dFvbpVNu/LB1t3uv24wxAm2m6gQ2cfEf9L2FGirt2Gef/PmNxUY8GY5Vv3cb6lmPdPsDN656fKweWZzlFOX6PVT968gB8k+FXP37kdh11qALj538ZPOORpES14OzpvnoxDGZ2JhhYGwNPBfsNWI8zXNMR949H7VgfWDEk5Vy3OC8MDHiZ8Y+qMLuQ82z1y1Up1z9l8W7Du5X4Y8+PUbJVB0WZ3pphgl/cmNwOHTp+p1NyKVidAcCSvO0/OLnWI/hvXKGl/r1+l6ya6aOFMPLgyOkSw+P8lPNABMt6PX8QnSV3IfuSFmz4eWMS21iRBohnyBQZ561Vradn6GuJj//uMjr2gUTNYDSAh8bw4f3D+z2HBPgD1b/21p3GfEB1mfqzSe/ONWw/0M1tMJwiNqG9Z9//aUxw9ANafQsIa331JtxgZsTl9ybgiW+6g+v3tyxFet+d/yQWRPf3PGOEU+G00Fn27J3mx6JLGvf24i29rt+Dc/FpK0o7e+emwDOuAf2yC0C+ReXXK6idx9/8aSlfyTt1y1u+Yf2v72j4eW/rlO7Qpou8Ahj9oDPt7Zvde/1NDFGaHWKlqPuAleh/QjrewsylLC66U0/7cfeSUtEPRvxfv7okcWZUZSx9KH7pXJXXvmfMQbDZf2u9/Qx/awRvbPaj0KMu7JDLww4l/CnadQPGSapx059+vHJTwotPO9x8yQY1UuM+JlzhDbMXrcIMwDahKTtOdxMioLqUvpqqG8RppdmmO4PGQ5HMjxx/qMqRncgoDS3BThvHFqmnDFGTTsCLKdYrKVC/zaO3kDGGlT6oz3HRT9B4l87iZHl3kWPU3z3kb3XbK3Lq/0w+Lnz4D4jkgwy4Nk5DYPDWOLTPX+3nX/fAOw1IgMMenz05PHmjw/p9wxoThAg/54qHsY8Mo5yaX/hEzjdUD8nvvjsX++8woiHIRK7jEgy5KJOrl+qYvV16lMjMmvu/yIK4bmp/YMu6D62j34Iv4E9cotF/s+69ZKJS/6AXTCKoYBn4iKMXFfqS/KMxfqKLa8a637sIkP4/x3w72qTYlQCzBuUwCPZJVNuRMyt1b9HmNLokwMyyk5mXLH6aEKnTIMF7SIzNum81CaM9iKSxheK0bMgjMIxvaBktJcswB89UpmKUT7oBVIMjMKqKIR73HIRxjLqxAj0GCzkmXLllX8Mo2vefVOu+zMlTFzwBPbKQsbI+72iZLqn6twK1s+FElP6HuMvwS70Lpk9d69u7hEW57um6U3MtMj0XVQCtaM6cWXYDDguVSMCRl5KBiOxgT+qEmDXPDQK6bs5Cei4IqUzlVTZ9TJpU+2iTb0p9TAlMEozzF0/SNbR0YFlJaZHVAhilANGaepwMsZ5qEGNCMMJnjXoIuS9ZuooLO6pfGXy0Bk9QHqkzJkoOEosCx8rvzWHyYc7MSK7j8o+KpJZciuEzGxBHD0zr1VNI+7NIt45U1SCTJkxbGKXuFTH9O6O5aDT+fWuSydOkf2mjrpm6kiKFzGIR+GZf1N0V77bcDg4jCMa8WS014gMMJL/xpYdy7e+TjEoeebqOdsP7VM6TSdIeync56GB2Duy5n5sUqQylYyMMuKTNiljVv5RY1otnYU6GVX8up8MR/nsy8/95B+7jEgy5KLVvxoB4HN13VKswlGfHtea8x0QcptMf/akkun1JgyDmJbrLIyZo3sbPVAN7LTpWVokFo38YyhHAIZ1Pz53H2lBJAwVp9Lg3FRAL6EII9eV+kKMMTY9veZ5ulev7NL7boJsw458+jHkfPmWV2kTbUyzBCRAxrb29tr615TAUySlfGr1fMQo+Udgx8G9CJ9ua6NDkBlXLBpJnS96j5rE9XPWDTBcbEiDvXs+EhUFB2a9sQR9jvbCPWShQpRmUBgB7EWttrW3Ibz7SDNlMW5Yefqjui/FGHkRg7OGtxSpLgDDZ1UUAsKTPcITDGH9Hhotk50QyZBRCBsGQceEP7nyT8faeXi/unWGKXC/R8fpx8LcQiT7y2KKXPNO3TedB/8I07novtH1A5fwSRWu71V9hsw9wqItjn0m1v00uKv0KIR6iLoBCAf0qiN/jOM6/UcY9BIxymc4iaNQsn8Zk/0FOvijKoGmODgEPIEbk5f8kZ5H+DWE5y44gIwUiXrO26wUqcxdP3Q4dOkte96jQvwcQE0aPTknwYnjpP2yxjD5w4JJu7uuDk0dA+MjkpFYiuHV0X7Pqrh6xpgeQ0XJJP85HdJpX79rDY1IAXySt8Iyb/appoFhyIZI0+Go6amf6FWhwqLtFv1Bdp4GcbirHx6Fa6HftDHZ7vH6Yv26IHNXvttwFPRSvwf8qB/sNSIDjJbj9y97uvX44V6/vwkx/3nvrz88uOe+l59CPI6ir9dV4k8/P0mV9s6+9+FPw/4P6aToIQJK2Hf0ADZx+tNXzkbMyDkPfP71l9hc/+HmrPw7r7/1ufv6jz49NufVJae+/AJZZqyqIceKNhzuzR3vDJnlcfN/2OzJG7bXG/FkOAs0DZbd8AEpEYNuQ1ciYtxdXcwvnec4spUbs88IkCzbys4goPfA2esWYjSjve4eCDeMwVnP63cnuDiL+Nn/hMVPIJImAWfdeikiddVXAb2EIoxcV+oLVXZ8aMd6XUXSSwC0jsfMYNOOBor/h+u/Dz9Vgj+umoslPs0MIPAqEgmQV6k+BRCpbiFQaWTGFYv20+pE6DQice4Y+tWcABKOboHWVadDBoWAewggF7IbYwoC6FWrGjdQYuRFDCkfxZC5/VFFKdPzUsnwGXqMXXCSIg2facgzPMGIhsvg2MlPMEYjUPOXxVAI/UAwv/rBdYVNIXiDLugxpk/Osfa8h+FeuOTcJkXh6rh5fUOZ7r3q6DDDH1QFxJJGTBSCjOQYFYLrDQlIMKhwd9UZx6VLVFUjJcAUGVe1vHq19SUM/gh1GSbf8abD0RmhnyCL+3TUQT13UVOiHJwIwhhTKIwsykm/yoEZ9QNTh6MA8gY4QFlUT85J8PqS+l2iZUUh+preWVsjcc6hR/XqMewi6iowlIbltftwhm/XPDxK75CYPuKIs9cvQUpUQrZwzUNVAsI5aUbmPJdRrnYf2we9BVlQpUivZzeqxeg8KhIpcQoql27uyncblfle604cztiFQ7x/YPfKxjojPsBI0bGO37rvA0gvCodUf3Bg9y8fG+0n/0YkjOqBVvbYi3L0lwn6TL35xBef0TxgxdbX1TMFug3e557rT35+aveh5v+89UpkRLVQrqINR7nx2bu2H9z773f9QvmAwPfv/hUib3jmTpVSN2o7tAu6CuaISE+Tb6NNkaD7uL41ry2p39lEPW3W2oXdh/cKaGV8YrSv3/0epguqI3XH7HZ0X3cPhOHQiKERhvK6e28kFv3Nf8TUbFiGSBiYsFg8BaA07sTFGbmu1BdijAPdVjMVIg3NRgxEGpvOwCEW8TC6MQB1x/KdJB8J0FNVCSTwVIiKROInV81TexF4Zs0LCIdZ/VNb4mTplDGpVAMZDKMzItH26DRITyeF+lEKoReiwkakegUJhhhlAf6oGJXXaSNxy12lQRhuoM+5fVbJVKDb6N6T5j+Wk+zgPuPlF7c/OCjNslEJiOk2ro95rIP7dJHAZQaXcE2q4wb4hsp079UdcPsDlaWGQBNgoU8XGwpRqyhVOAJ+VUdZEFZZlM9wBvN3HALxYrqjjQIw+INIykWGasGh4Qw+g0/Wcxc5hnJUMj0cXDkwo35gKi/OEWeEMZGuZb/SVE/2bIsew3shkCP/ZMPMJ9+6/zDP0lSa7Am+9EROmoP7MBUIc61hF9WbMtE02mMsZZirTVzwBHJhBqA7mfXBq/MgEgEVSd2DNpW5K9/TkB2LdUMVEIlVb8uxwyomjClFh0H1sXCHckOqPZXeMxLHfXT1HJwa7NRXX2AvfQFh+dbXsQuGTZQM9c2W8NxkVbG0+h/xzCTae0R7+6doQ7XgFNA9hs6e9H/vvBKGdf+OQ/uwC/7oKZUhnpoJbUo9nCbfKt7sewf3Yej7+MRx+i8iPRkCqkxq5asfHYMeiEW/uIkFw5g2qo+7B1JYH2HgjFsporLo5Z9ujyBw1q2XHPvs02TkH5IM4X9q9XxUEzah7rdW/x6dDAGVDOGn1zxPt/2NBJgWkMAjEgGKRDloYMwVlPxf6twPoOz4VBYwZlHzowlhGA6U82TYRKMiMfYijNWMuv2oF0L1hrAeSa8g0V410JAFj6EwPS8mqob8IxJahS7r9lklUwHsnfjC4+Ia0Ce2uV9i8fQH3QAzDLQXNkUhmWOpn8LIkf8RveGSfikG+KaXpvbqZviD89WvajKUpheimiCg6ui4CFMWxCufUT6KErc0hue8KyRskPiZd/JEGbKgcPQHDEOep6MOGrDLLxxcOTBPf/Ry4BWNUJ6lIax6MsJ+Hl79yCizKmgmpH3TXT8uLKA0pFEBStN9cI5so3+u2SruuGKv7qFeAuLVq3xkVBX0IECVQ13dKXDDlp1NxjyVwhPnP6ouCj0SAYpELvVSp26iBnJj/Oy/b7sGh1AvY6LYyc+LK/H8265WacKYVN8nJ/zn6J9/2LJ7zqtLPmjZ9f3Rl8v4pyaqgEh8T27kkxNw3JFPTTryyce977ruB2OuQAmIRErEL//rqzjfmS/PQgLEo3zE973nt5SRji7KdIoaPltOL6KS/x9N+s2mXe/CAWWYG1FbG4nJ9I6EQRs9BL1Ij5f9KnMJ4wRFK588rr+mQ8kQoC6KvGIQeH0REsPonj9ydR/Z22+0d48wCKM0pRSUJRKLWP67j7944hIxdYL2T176pLMKSUj+Ic9Q5eVbXt1+YA9iKBITAgrD/uH67yNGbcKwCb2npwNUAkVSrkvvuwni1HfSbymSJgcoHOkRUEeHGcMltSVOEwFMhlDIrzNjEwQPATKcCD5RJ1hurmyso1s9ai8MbY/0SICOgl3ULymAvOgHNEWlp7y6AwH+kOl5aaWISATQw1SBnj5TjO6JKN95bXX2ukUY0cjEtaHNADz9obPAEeGJKnn2+iUYK1U5cAkXzLeG9TJcUg64fcOpqbDaq/oMme4PdqF64YOKQXqasFMhKFBvAs+q8zyu0fTIu2VXU72jFjR8iFpybvgb9QODV2ua3jx26lN60KMXq4zKDNilMhphCuhZ6KDK3P6ovLSJvoRz9yvN3ZONBBQjamy0+csnOLQIZL75RinVcVVMQFVkXXpjSY9h4tVUGEZefKJrrdv65qoGj2sNm9SC6kBk2apwntegnNnrFmL4dkq7CPq9qn49wsdOfoL+j/LpVRUoPSJFmfMfdUfSldLvodHoHlc9OEI/fZisgRBGzmzbvxOlweDP+827wnz1wDBdyCHVaNnlb/9Fj4ds7z3cgl04l8eWzf78qy+V/EPXEYldqApo/6inJx//7AQV5bh0Ye3m11AaEn966iSVgBhRgi7/9/5W3UiIRP5x+aA0lPOn9YuunDnye3f8/Lu/+9kVM0dgk9raSE9Gu9B/kB0dDPVAz1BUPAX0ge6swWJiZwwRMpnTRWkQQNOrClm7dcOqrW8E9EB8GiMM/EE8YkgpdJ9LtAjkv835Tr8e8/Fn4sEYzuHoyePwHjHYJPk3Ehdn5LpSX8jz6bY26DSFodCHPzlK63vINtmmHQ301h4ZJYDMq72qBHrkD0OzVc1+QC8fAXRT7DLeMTSGS2pLMhRC6wm4jXZV8VgIon9k0uS8xwfDUZBeJdjivOtHQkIBOgqmotiLekZ6dXRYgD8wTDn1vGgjeIgYrFBxIETCZ7olZfhMGd2eiGQLxY1QmSzzMj96PA3ibn/0syD/MYOe+NLjeiG4WuBS/a73sKlcUnk9fSP/EXbvVUeH6f6QA1Q4GfJC+3c6z849m8Bddeq4yI5+TllU05PPVznvr2FxhkFTVA6qKPN1MqN+YOR/Tg37NETALmT0DLuz0EGVuf3Ry4GhBMzbPEtDVbh7sttDvcbQSdSbEDg0BYQNES9F68elQ7tLQ4CGXW+XdjZhyKYwEqAVdh/O8dDwRzejKuBqj8EXohEp707nxRRHhmX5mN7hEBB1IxKfpPT0FgsM3WPCvJnZk81YTg3kM7pGqEAyI0EYgzZjPCQ9htK/u+eDXncN0ONxLlBuKn97qxhdEYlDN+x5HzHv7N5G8wOEm48eRJ1gcqDSf3LqBEpTJeCsX296Wx1O2JALe99/4+FPP1byf+jTo3qdF2po/ZE197ccO3zpI0P0eLQyzNBdI4HqbAirQVXFdxvdG/M5Oi/Y5p2NiNGHCHxSdn0QmDB/pt4ZUBQKNK4RxKgeiLA+wkBAdaUgl6KyUuU/jJ11q6jx0lVfGbmuC7Bdcw+Xdq0If9DnRBtp42yhJgZxbUzJmtfN7Rwb21v8A4r2KhwZxhfh0swxZvqSLeH2Qs3g+tdPTXw/2Ot19zIxC/44b9qjlnBovaKEDcvzDX5aXehTBNPcv6wOC/cVbe+qGOn8VTRmJ7nN6mf0NQQj0s88asDf6BrBJ4y+UmEkKE/D3Fe0CFo2RBMUav81sR8E1a39qBwyNWEqTE1z/+oJp6BfwjB66q3HWP9J/7wWu/xD+6s3vIxZjBFfipHrhgZbtE4wfJcu/zC/GQD8EVfO0MzPs+OaH+X8ASB9OdCVnoxurJXokqcl2V7iHHPPSzwWyR31OkH/icbGiOcgRnXBROfRXgjQDdpfXbcUw4sR7zZ3QwjL3IDxs1KqAtcUDMvNd/a9T29EhrGCjqirGizy1WHqDOrw+Jp5z61fZMQroxozIvOa+JqusT7JvKvr18oe2o8LP7O3TCxe+ae3GNApI1z6w8h1Q4MtWicYvtGD0UxBS6hw5l7pwjzH9Dw2SPyGRiQuuS2Z9tK/2a9MfbtPt07Qf6IycWhMDT0nhZkXApTRLdYCOknu9y2lYVD2v7tQdFXggqJbuIWqchFHJAWCGfEVaKiE91p3XjlzpBGvDAkKln/Xf/OoRTxK82tl49oXk36v+atdS+Lmf+RGrhsabNF4+M4x12+nwx99M695amSElkT9uP6kTn/Ybxj3H2Xq0OLmkFuqYa57J4XZWK852UDfBwHJV0WhRyQ9K3SS0VkNtXHyi1PfuvVSI14ZEhRaURD7nN7ifM0v2MwsZan9MJb/CIyHb7fpwzf8UVdCHitxcA9nsddP7mNCmPGw3zDuP8pyDp15IUCvSWlYfpUwnnreo/KcnCVfFeXWGSrcjGdGYYTc1H5c+2Wp/TCW/wis8w3fQrydxasYJYeWIMkjeyE7/NGvB7eJo8TzHpCnxdpexnghLN9bZp2v/xRtHoce4/F//DDRZ/I9uQ8y1+0ZUaZr9pl8VZRbZ6hkE8Og3j3CCPnw3OlCuDdMbRnLfwTWyYZvz9EWV4KRLLwJf0Y5L/rBMOYqw/A9/KLkL4+42stLUXCaeYeMTtZ/SjHfQ/u/EFBK//GYq8HQLTNNlnxVlFtnqFBDByhcyD2mC2Ws/TCW/wiM/Okc5j0gOlbmXdmaje2tbpaYVmbf80m7iXr2fCFgaAF/72vaSK8HATCaoUZt3sdiK29zf83Pbab2p2HAZPmPwMifzmFqeBXjFDq0/2yALcAw8UftGXXLFoFl/ovPsJKeBbheVmVjUyZe2s17LY8ytT8Vlz/LfwRG/nQGw9ia6cFqtsszgIJtSAmLUbYw5iPY4uF90TU/3Oc1Q7YKtpDab/aclEz9hfyn1AwNtmiGYym2jPzrd67QlbPdms3LUF1k4lF0vpuEbJGZ8z1+Ue16W5Ry34VuLThlslW4ifugw0LMJnO1X2QcXsIbqcmakP8DDMMwDMNUDCz/DMMwDFNxsPwzDMMwTMXB8s8wDMMwFQfLP8MwDMNUHCz/DMMwDFNxsPwzDMMwTMXB8s8wDMMwFQfLP8MwDMNUHCz/DMMwDFNxeMv/m0yByIqLAXkApmRkhXKVMgxTkcgRMIOv/LczoXFXa4RwW0SC3kZcpQzDVBpunWL5jwB3tUYIt0Uk6G3EVcowTKXh1imW/whwV2uEcFtEgt5GXKUMw1Qabp1i+Y8Ad7VGCLdFJOhtxFXKMEyl4dYplv8IcFdrhHBbRILeRlylDMNUGm6dYvmPAHe1Rgi3hU5bW9vhw4d37tyJgIwKh95GXKUMw1Qabp1i+Y8Ad7VGCLeFApL/6KOP3u3wzDPPyNhw6G3EVcowTKXh1qki5B+DcBYZR3jFVQLuag1gmQOFwxBSq77++uv9+/d/8MEHx44dc7cB9n711VdyI2a+/PLLvXv37tq1S25HBE5q6dKlv/vd744ePTpz5syamhq5Ixx6G4WsUoZhmE6DW6cKlP+201/vmTe4t0OfPn2Gzt+rhKbt9Pr7eyF6yPP7ZEz6cWYzJnKfhrtaA4D2L1++nMJhCKlVn3/+eWNjIxK/9dZbUF8l9hD+jz76aN++fSdOnKCYWMHhPvzww7/+9a9HjhyRUVGAaj99+vSECRMeeughzybIi95GIauUYRgmLTjqlB0bjU3g1qmC5F8ofO8+Q6W+t7XtfX6o2hC7hjzwwODOI/+ouykP/H7y/Q/qdt+DU+VuDXe1Rkh4rYLAb9++HenB+++//9lnnx0/fvy9995ramqCGEM+ZbrYgPY3NDRA++vr6z/++GMZWzJoiCeeeOI2B6z+77rrLrmjEFAnskJZ/hmG6VxgkKThkSQfoz1t0l5CHwOJAuS/7fQbD/Tu8+AGuanTdnrPvCF9HqzbO68TyT8wZgCe2g/c1RohBWkVWv3gwYPQYOTaunXrO++8s3PnzlOnTsndcfLVV1/hcND+LVu2NDc3y9iIQEMsXLgQHXr16tUyqkD0NiqoShmGYcocjJAQe5J80n5w++23y90Obp0KL/9tbeK2/4N1clODxP/3G9raOpv8AzUD8NN+4K7WAJxH/9E/+9eB+iIX2Lx58+effy5jo+PkyZOHDh3SbydA+7Hih/ZjztHS0iJjowOt8Oijj6Jn43QQPnLkyI4dOyiwZ88emSgQ1IasUJZ/hmE6HWoGQBjaD/QxkChE/rH495D/jPiLFJ1Q/gGqNUD7gbtaA4D2x/Hsn4Crra2tb7/9NoSfXgXYtWtX5Lf96Q5/U1MTlfzFF1+8//77iEH83r17KU204LzuvvvuyZMnIzBz5sxJkya98sorq1evnjp16lNPPSUTBaK3UUFVyjAMkwrUDMCt/cCtU4XK/wOG/NM9gQfewHFP02uBQ+bvxYbcXRm4qzVCwmsVqn3//v1ID+0/fvz4119/Ta8CHDx4UKaIiC1btkDswYcffvjZZ5998MEHCCMS3soUUXP48GH0aVJ6nM68efOwidkA7Q2D3kbhq5RhGCZFQAU8tR/oYyARXv6F/j/Yp49QehmBKCz/xKQgS69evXr36Zt5IbBCcFdrhITUKrQ6JYYSHzt2jCIxA4A2v/32259++inFRMKpU6cww3AmAOItP3xu3bo18kmGAqdWW1uLWS2W+wijzz355JOQ/+rq6qNHj8pE+dDbKGSVMgzDdBrcOlWA/GMY3jt/SJ8+tLynxf4QXeg7683/vLirNQDn0X/0z/4hhG+99dbGjRuxUJZRDl999VVTU9P7778f7ff+MQNQ9wCAehAQOaKrtbVB7++55x4Epk6dOnPmTNTJ/ffff/fddz/wwAMyXT70NgpZpQzDMJ0Gt04VIv/AmQHIhX4fc5Uvdg6ttJW/wF2tAUD743j2D9V/9913PV+5/+KLL7Zv365uCUTItm3boP319fXHjx+XUZECvb/jjjtQ/oQJE1555RXEFP19Qr2NQlYpwzBMp8GtUwXKP+OFu1ojpJzb4uuvv25tbY3jVX8C8l9TU/P000/X1tbKqGLR24i7N8MwlYZbp1j+I8BdrRHCbREJehtxlTIMU2m4dYrlPwLc1Roh3BaRoLcRVynDMJWGW6dY/iPAXa0Rwm0RCXobcZUyDFNpuHWK5T8C3NUaIdwWkaC3EVcpwzCVhlunWP4jwF2tEcJtEQl6G3GVMgxTabh1iuU/AtzVGiHcFqXT1tamtxFXKcMwlYZbp3zlnykIWXExIA/AlIysUK5ShmEqEjkCZvCWf4ZhGIZhOjEs/wzDMAxTcbD8MwzDMEzFwfLPMAzDMBUHyz/DMAzDVBws/wzDMAxTcbD8MwzDMEzFwfLPMAzDMBUHyz/DMAzDVBws/wzDMAxTcUQv/++++64MpZO0+79y5UqcQqqRZ5JO2H+7sP92Yf9TRPTy/84778hQOkm7/6+88gp6cHrh/mMX9t8u7L9d0u5/QUQv/5s3b5ahdJJ2/2tra6WQphPuP3Zh/+3C/tslpf6PKwSZJw7537Rpkwylk7T7n3b55/5jF/bfLuy/XVLqP0T9b+GIXv4bGxtlyPk3VRmKh9bWlpbWVrkRA7H5LxzPEOMJrFixQgppPDRoyKhIiaf+9coHMdZ/Iv0HxHUKcV6/OacQ0wnEOv4kcAKx9X/DXXdMNMRa//G5rYjZfxDLKViTfwzZy5cvlxsHDrzxxhsyFAOtrc3V/bt0GTAnvh4Qj/9o8pprzzjjzDO7gK5dz5lYF9cZoC1IR2OgYevWlfeMPfefroP1/Ofrxzwj46MkhvrPqfxM/cc1iiTQf5xT+OHkDXJftMR2/eaeQmwnEJ//Lc37q/tnGsDpRHGcQEz9v/+ZZ0/KuuuOiYzY6h8Itwdg9JebsRCn/yCumrcj/xivoTe6/L/22msyFD2tLW9M+MHZAwacE6P+x+O/1urUh2O59ATxyX/D1tnXX9fzgmdW01bDaw9NWOQEIyWG+s+95JytLl279I+nD8Xef2Imtus3oVOIqf5bmmdf2yU7ZWltbZ1z3XVzaSNSYu//ghjbIrb+A4Tbcct/nP6DuGreU/47OjpkSCMy+cdgTdoPZNSBA+vWrZOhyBHqfzYWbnUTzzk7lpm3IB7/9Van04hrGFy2bBnpaMQ0bH36/nMz2h8jMdS/65JDxBzMwGLpQ/H3n3iJ7fpN6BTi8N9xvUtsl2wOSfT/ONsitv4DhNtxy3+c/oO4at4t/+3t7VVVVe4ZQDTyj5FaKr+DjD1wYPXq1TIUNRnZbG2NU//j8V+2+sS6lpbm5vUTzjknplu3Bw68/PLLpKPR0tBQ/dvrYrnbbxBD/Sc6/MXefyRxPQGN7fo1TyGmE4it/2TVH9vxnUF8/V/rPPQcI0X9nxAnErf8x+k/kG0Rt/xD+xED3DMARMo8Rcs/hmkp+xnkDud75zIUMdlFc6z6H4//otUzDz5jffR8YOnSpaSjkdLQ8OrUnyQi/zHUv/uSo5hYlnPx9x9B12/EcucZxHf95pxCbCcQS/+pm3h2RnVoQxCPfMbU//XOI0mN/wpxInHLf5z+Axp54pV/pf2EMQNAjMxTnPxjjJaaryH3Oc+eZShaHPWXM1ixgBbhOBQ0Hv+1Vqc+HFsnjkf+of81N1w3OgH5j6H+3Zdca2tzTf8usQhQ7P0nZuK6fpM6hXj6z5wBOe+KxHguCfX/NPmvEG7HLf9x+g+o5qNfeEDUSd2h9NB7g/Hjx9NeUJL80wDtRu525EeGogS1Vn2tOX+N5eWt2PxX11tcPYBYsmQJ6Wi0NDSsundcz98u1L/tF8s3/2Kof73yne0WMX3sGs/yM/7+Ey/x+A8SOoU4/HduN3YR6w054MR4Lgn0/7T5rxBuxy3/cfoPaOExIPKhR8l/XoqXf4zOUu1dyBQHDixatEiGIsTprvq7N3QLLg79j8X/zPXm3Lxo3j+7f5eYxOfAgcWLF5OORk1Dw8LR/3xdzxswAxBs3fpqLG/+x1D/euU7t47uPVt7iTti4u8/kpieHsXjP5CnELf8x1X/mAB07TqgRla+eHbeJZYXeOLr/8nIf2z9Bwi345b/GP2H+87gE8fYE7v8Y2iWUu+FTHTgwEsvvSRD0YF6mzMgt9Kc6zGO54dx+C+vN3nTIsYvbYPY5B/QGwDye///37iH4vh3gRjqP6fyY67+JPqPILZn5/H4Dzwu4jiI03+tCWLrRPH0f6PmY2yL2OofCLevi+2tFyIu/zPvjMR04cYr/xiXpc77INMdOPD888/LUAppbW1Ntf8As1fS0ZTC/cci7L9d2H+7pNf/GOW/sbFRirwPK1askEkPHJg7N9bJWbyg+VPtP1i4cKEU0nTC/cci7L9d2H+7pNf/eFf/4amurpahFILmT7X/IO3yz/3HIuy/Xdh/u6TXf4h6eGSeOOT/z3/+swylEDR/qv0HCxYskEKaTrj/WIT9twv7b5f0+i+FPRwyTxzy/6c//QmVmF7S7j9aM+0mzySdcP+3C/tvF/Y/MaTiOkDU5c39fHjI/7Zt2xobGxsaGurr6zdv3rxp06aNGzfW1dWtX7/+tddeW7du3Zo1a1auXFlbW7ts2bKlS5cuWrQIq8wXX3xx/vz5c+fOra6unjVr1nPPPffss88+xVhFiWh6TZ4JwzAM44+U8TJ59o8pCXySx0knTU1NMpRO2H+7sP92Yf/twv4nBst/9HD3tQv7bxf23y7sv11S5D/Lf/Rw97UL+28X9t8u7L9dUuQ/y3/0cPe1C/tvF/bfLuy/XVLkP8t/9HD3tQv7bxf23y7sv11S5H+S8t/aGuJfRjzlv6OjHWj/OJzBiW93x1tFb35yMEPuGZSl84AvP7uw/3Zh/+3C/idGUvLfSv9w1SXvX0S55b+jo235zWd06dJlUK0ulYg+/cH0cxF/3swdMq48UM3f0f7h9HPPOCP7H8ODVsgJQPk6D/jyswv7bxf23y7sf2IkIv+Z/7qcOPHswuVfqP/AM3sOGnyepv8dHe0rBnftet6MFdN7lrf8Z9zraN+OcJfBtWXuPODLzy7sv13Yf7uw/4mR1OofOP9XWLD8O+oPkdy+fYau/4Sur+WDav4c95xbAdjY6ewC5ek84MvPLuy/Xdh/u7D/iVHu8p9R/x1YPc/o2aXnjByxTIX895yxvb29ve30B9Ny1J/lPy7Yf7uw/3Zh/+2SIv/LXP61JbOX/qdA/rVn/+J+//bsq34s/zHB/tuF/bcL+2+XFPlf3vJP6k/LZ7l+ztH/FMi/ck888R/URfOf5T8m2H+7sP92Yf/tkiL/y1r+O9o/mPYj7cV5B0wGynwBrZo/1z16h7HL4FecLZb/2GD/7cL+24X9t0uK/C9j+Zdyed6j2sty4v6/fAFQ/BZA5oaAc3cg961Ai6jmJ4HP3LxoO71sYJeu5zunU77OA7787ML+24X9twv7nxjJyv+kc344Oaz809fjvjEks1gWqDh5Jz1L12+QrpYDqvnldCVDV3k2Ze084MvPLuy/Xdh/u7D/iZGg/Icj99W/VMLd1y7sv13Yf7uw/3ZJkf8s/9HD3dcu7L9d2H+7sP92SZH/LP/Rw93XLuy/Xdh/u7D/dkmR/5blH2LvJtXy39HRkeruy/7bhf23C/tvF/Y/SSKT/23btjU2NjY0NNTX12/evHnTpk0bN26sq6tbv379a6+9tm7dujVr1qxcubK2tnbZsmVLly5dtGjRggULXnzxxfnz58+dO7e6unrWrFnPPffcs88+C59QgwzDMAzDxITl1b+btK/+AapVhtJJ2v1nmFLg69cu7H9iGPIfHpmH5d8Nd1+GSS98/dqF/U8MXf63F4LMw/Lvhrsvw6QXvn7twv4nBst/9HD3ZZj0wtevXdj/xGD5j55O33072ts7vH6l2C/eOuI3ljOe6eEMOXEJnEW0h0jA4YqC5ccu7H9iJCX/ra0tktZWGeVNJ5N/DM0a2iit7Si3sdvff+FrR/uHM3pm/7hI4RdvHec3luVfLenhDB3tp5cNyvy6dAJnEe0hfEvjSUGxsPzYhf1PjETkv7XljQk/kD9v33VATeAEoDPJP4Zm/f/+u3QZtIJGZPFXhufKuGxsuWD4f6byX/w3wQ4/vYlW1SIkWP7F/zKcl/1niQTOItpDeJdWto2RBlh+7ML+J0YC8g9Bn3PddXMpWDfx7C4D5jjx3nQ2+c/8pS9kBuEug2ud4Mzz5T//ZWPLB91/t4hkIqGkEpq7+MUTnjc7nAWqd/oM2XxeUySPve4DBcq/WULgWXgfLvgUnH050Tm1mrPbXb7YnSk+42CGXIdFWJXW0X76g+nnYl7ppHN26TlV8R7lCyhWblBGuZUtI1uEU4Lakc2WWlh+7ML+J0Yiq/8sjv6fE/Snv51V/p2Nc7GR+9d+3rF20f3PSksGJ/LMgcuWD6Q7Al3Pm7FdaIFfvMjS9sG0c+keQteuXQevcDTCSN9F/PWxoR3IJyZHBP3Ns0a2VFEo/Qm054F85d+jfP+zyJ/YfQrycLIHSJxcjgvisYP6S2t3+ZT73GnTkIb+LdLPh2xpXbqeP3O78z+TZ54h7ttk/kzSq2bc5QtE7OBsdaP8TActpgbSCMuPXdj/xEhW/ltbmqsHdKU7AT50Pvmnf/Snf/d3qX9HG0bOrurec1mg+w8hoTWkg5T56eeeAZkRsiL/0pjuafjE66co4s9DjUAO9fRScnJugiCudoi6R4LSnFwZnFKlcsqUO/wORBpsyr93+T5nkT+xKNk8BYo0/84ZuVDA4NqMWouz8ixf5B54BqRZnpKfD3pp8kgy1skncnrWjFF+BsdpTd9J/X2PHlwDaYTlxy7sf2IkKP/Q/vUTz/lGoPh3PvnXnv07S8mcu6NiTdZTjdnlguF/5tm/XCCaygI9JTHxjhdlCK0QUyDQ1nYaSiSWwznpKXnuKlkg7ylj7gQRypQNnPT6TXyR1O9AWlozn6t8v7NztgIT+52CCyfXmQOnObNBPbVZvsdJ+vjgKi3XM5+a8SpfIOKl/ousKDjTQSOqgTKH5ccu7H9iJCT/QvonnNP1h5MDbvsTnffmvzM4Ki0Re3MWbOWD7r+mhZLcyKyE+MSLOtBfHwS0HM5J76kc2g1rB80RSp+tS+B/IOWi5paTw6N8v7PLn9jzFLxQjtKThUysu/wcZwU+PniVluOZT824ys8gdpD+i5yZmwPR1UCZw/JjF/Y/MRKR/9aWNyaeE0L6BZ1W/jE6OveraazsaCtT7Qe6/5oWSihyED1Xp5PCKWbk3IzH6l/ca848SdbIoxw52tTRnlluSrICpbbbfQ+klZQN+5Tvexb+iSmWCsw5BUJ4luOTzFUr/IVkf9iBRbZn+TmxwQ6r0jIvKshYEcaGd83klp8DZRm4HEch9Q8+OpXgpPGogbTB8mMX9j8xEpB/53W//jXya/+CoG/+ddZn/+Kea0bwMXyKdZS6HQvkS3Jlge4/Bnft2b/zkrdYEWKxKR5kiNvAmacX/vFSmGQJAnGyeZRDxAzu2lUcnO5W03Izg9xNB2s7vWLw+TN3+B1IU65s2Kd877PwT5xH/ERx2QkgoXJRzZw5EHMNz/KzzjrZ8vhApYn9OGmxkel5osk8aya3/FycAs780bmZtX++o2fSsPzbh/23S4r8j1/+W1tbavpjtFB0DXwG0LnkXwzCiszDc2eU1Mm+dl0W+Pmf+d7/9pnnnTdjBe3R3hj3iQe55chX4USk+sI96qR2MMUrsvUkZH7GELOOsqXKEv0O5CgX5TbDrvL9zsIvcfApIAVmE9ln5w5aLsedLl2Qyat8Z69Wj/l8kOnppGVNZKoms01QrFl+Dk4GvRXzHd1J4a6BFMLyYxf2PzESWP0XRmeS/5SSdv/LB3GXvKfxYj1T7vD1axf2PzFY/qOHuy8jEKthWiQzaYKvX7uw/4nB8h893H0ZJr3w9WsX9j8xLMs/xN5NquW/o6Mj1d037f4zTCnw9WsX9j9JIpP/bdu2NTY2NjQ01NfXb968edOmTRs3bqyrq1u/fv1rr722bt26NWvWrFy5sra2dtmyZUuXLl20aNGCBQtefPHF+fPnz507t7q6etasWc8999yzzz4Ln1CDDMMwDMPEhOXVv5u0r/4BqlWG0gn7bxf23y7sv13Y/8Rg+Y8e7r52Yf/twv7bhf23S4r8Z/mPHu6+dmH/7cL+24X9t0uK/Gf5jx7uvnZh/+3C/tuF/bdLivxn+Y+evM3fIX6JVYZ1/OIThi8/u7D/dmH/7cL+J0ZC8t/aKn/uP/D3/gWe8t/h/NOoKY1OpEM5/WJ+bvNnfSQ6cCraz6Rr+MUnj6v76ieRqelyrXzAw4dd2H+7sP92SZH/Scg/tL+6P/1TaNeu50ysC5wBuOVf/O3azWcgc85/ljl/myPL7DpoRTlpkGp+5xfftX9aFT+1Lv4AP03y39F+OlPR9Gvv4k9ly7jyAQ8fdmH/7cL+2yVF/icj/xsmT57rBFpqBnTpMmAOxXvikn/6n9yegwbr/1nq/J4q/bcJ/ROJ/G/TskA1v6eiZyLpjoaATsovntAW4FmxRWSHuJ0gcYuwSCBvnQjyFkjR2e7b0d6m/y1xR/v2mec7M5jyrXzAw4dd2H+7sP92SZH/Sch/Fvr3v+vEVMAPU/4zf7m+fbv3v7lDk8RKVPzjfLmgmt9f/s8cuMz509TMghqn5RcvsrQ5fxBM0V0H05/RG+m7iL93zakd5z/bzp3+QdgCRQ7xB7ddM/5D3JcPOjPwH2vKr/IBDx92Yf/twv7bJUX+JyX/9PC/eX/NgG8Eqr8p/xn1F/8zCyntOUP7M3GxrG3L/ot+2aCan+Rf/Ee6RMr89HPPkC7TWTnLZ994pwYyf7su/mCVakFPL1bhg81VeFEFiqrO+E8RPo8jyrXyAQ8fdmH/7cL+2yVF/ici/7ToF0vNb1w3J8/bf7nyn5EkJWBK/+V9Z7F8/cbg2tw72JZRzU8CnHn2L/88HZE4j4yo0mmIs/KJF2WI095OEwgoLk2HctNTchGdpcACRTzEHvMD6b+T40xP+afC6JzKrPIBDx92Yf/twv7bJUX+J7X6d5DP/s+euEFGeJAj/yRJUqranHfQlP5nwLQAcmasfK2imj9XgCUequxorE+8UwXa64NAvEGIFX8R8h9QIORfKLoh/4ONFy5Nyq/yAQ8fdmH/7cL+2yVF/icj/9D0TKC5pn+XAQG3/3X5F0+Wf3SGLlQg84i7I7PmdPSM7hCUB6r5cwVYQpGD5PP2zMONjJyb8c5DD8+XHnIK95f/0AXS3RXxGn/G/4z+Z14NEHTQC4TlW/mAhw+7sP92Yf/tkiL/E5D/1tYNkybWOF/6b25eP+Hsrj+cHGr17wjWmV3Oyz5ZJoUS0oXQzPMGOw/V6aaAc1+9TFDNrwQ4i/O9/+nnntlFvIhHzvfMPJ33i4dcU6yCFDi//DvP/kMW6Ih91649p3+Y7b6UVKVFIdPPO3/mjnKufMDDh13Yf7uw/3ZJkf+JyL988g+6Bms/UPJPcpSrLNk4OROgQp2b4eWDan7dSYG8yQ7xPG/GCtojXwigxJ7xILcceboi8jyVuaO9drBRDc784MxBK9RT+jwFUvT53/hGTvfNSaodOhNXbpUPePiwC/tvF/bfLinyPwH5L4ycZ//ppEyaP+f2QCHw5WcX9t8u7L9d2P/EYPmPnjJpfpb/lML+24X9twv7nxgs/9FTJs2f83SgEPjyswv7bxf23y7sf2Kw/EdMR/bN+VSCpuwcJs8nbaS9/7D/dmH/7ZIu/yOT/1WrVq1cufIVh1qHFQ7Lly9f5vCyw1KHJQ6LFy9e5LDQYYEDjd2oQcYKVP+dwOT5MAzDMF5EJv/vRgSN3XJykk5QrTKUQjpB/af9FFLdfwD7bxf23y4p8p/lP3pS3X07Qf2n/RR4+LML+28X9j8xWP6jJ9XdtxPUf9pPgYc/u7D/dmH/E4PlP3pS3X07Qf2n/RR4+LML+28X9j8xWP6jJ9XdtxPUf9pPgYc/u7D/dmH/EyNp+W8AMuhN2sdukOru2wnqP+2nwMOfXdh/u7D/iZGo/Dc0VF9/3bk3LJSbnqR97Aap7r6doP7Tfgo8/NmF/bcL+58YCcp/w9YVT131Tyz/5U0nqP+0nwIPf3Zh/+3C/idGYvLfsPXVqT8ZN/Xe+1n+y5pOUP9pPwUe/uzC/tuF/U+MhOS/oWHlPeOumfBawzMs/+VNJ6j/tJ8CD392Yf/twv4nRiLy37D1qft7XvDMaswCWP7LnE5Q/2k/BR7+7ML+24X9T4wE5L9h64LR/3R/dUNDw9atW5++/9zfLgx6+T/tYzdIdfftBPWf9lPg4c8u7L9d2P/EiF3+GxpW3Tvu3H+6LmMDfvRP1zl3AnxI+9gNUt19O0H9p/0UePizC/tvF/Y/MRJ79c+Bb/6XPZ2g/tN+Cjz82YX9twv7nxiJy/8DPW9cJLc8SfvYDVLdfTtB/af9FHj4swv7bxf2PzGSlf8QpH3sBqnuvp2g/tN+Cjz82YX9twv7nxgs/9GT6u7bCeo/7fDwZxf23y7sf2Kw/EdPqrtvquufnFcmY9MGD392Yf/twv4nBst/xHR0dKS6+6a6/sl5ZTI2VaS9/7D/dmH/7ZIu/yOT/1WrVq1cufIVh1qHFQ7Lly9f5vCyw1KHJQ6LFy9e5LDQYYEDDdyoQcYKVP9pNPRmI0aeEsMwDOMiMvmXWyXT2toKn2huklJQrTKUQpR2ps7cztMZpY5U9x/A/tuF/bdLivxn+Y8e7r62UMJPJmPTBvcfu7D/dmH/E4PlP3q4+9qF/bcL+28X9t8uKfKf5T96uPvahf23C/tvF/bfLinyn+U/erj72oX9twv7bxf23y4p8j8p+W9tbVG0tspIL1j+rcP+24X9twv7bxf2PzESkf/W1jcm/ODMM7s4dP3GdXNlvBcs/9Zh/+3C/tuF/bcL+58YCcl/3cSzB8yRW8Gw/FuH/bcL+28X9t8u7H9iJCH/ra0tNQO69K8Jceuf5b8MYP/twv7bhf23C/ufGEnJf3+689+la9cBNfzsv7xh/+3C/tuF/bcL+58YSch/FvEU4JwuZ0/cILc9YPm3DvtvF/bfLuy/Xdj/xEhW/mkCcPY5k/z1n+XfOuy/Xdh/u7D/dmH/EyMZ+Yem0w3/1tbmmv5dgl79Z/m3DvtvF/bfLuy/Xdj/xEhA/iHocwbQi3/NzesnnN2Vv/hX3rD/dmH/7cL+24X9T4xE5F9/8++HkwMe/AOWf+uw/3Zh/+3C/tuF/U+MBOS/MFj+rcP+24X9twv7bxf2PzF0+R9XCDIPy78b7r52Yf/twv7bhf23S4r8N+RfxuaD5T8I7r52Yf/twv7bhf23S4r8tyz/EHs3qZb/jo6OVHdf9t8u7L9d2H+7sP9JEpn8b9u2rbGxsaGhob6+fvPmzZs2bdq4cWNdXd369etfe+21devWrVmzZuXKlbW1tcuWLVu6dOmiRYsWLFjw4osvzp8/f+7cudXV1bNmzXruueeeffZZ+IQaZBiGYRgmJiyv/t2kffUPUK0ylE7Yf7uw/3Zh/+3C/ieGn/x3eCH3sfwHw93XLuy/Xdh/u7D/dkmR/57yD6WvqqrCps748eNpL8CmzMPy74a7r13Yf7uw/3Zh/+2SIv8DVv/6DEDXfoAYmYfl3w13X7uw/3Zh/+3C/tslRf77yT9QMwBD+wHLfxDcfe3C/tuF/bcL+2+XFPkfIP8AMwC39oOi5L+1VfzsP+D/+y9v2H+7sP92Yf/twv4nRrD8+1G4/Le27K/uf2aIn/1n+bcO+28X9t8u7L9d2P/ESET+W1ubq/vn/bMfguXfOuy/Xdh/u7D/dmH/EyMJ+W9tqZt4zoA5oe79s/zbh/23C/tvF/bfLux/YkQm/yioIJ6ubGRFdiI6OjpS1KzUCRmGYSoWqeEOEPXwyDwFvPrHZID8SM3sRJD8yzNkGIZhOjss/wXD8s8wDMOkHZb/gmH5ZxiGYdIOy3/BsPwzDMMwaYflv2BY/qOlVUNGMQzDMDHD8l8wLP+RALFvbGxcsGDBtGnTJjpMnz4dm4jkeQDDMEzcsPwXTHTyD83taNf+iVlB8R47YiNh+d+/f/8LL7wwadKkefPm1dXVQfLBhg0b5s6di8jnn39+3759MinDxIn8LhTDlMz2KJBlhUN24mJh+S+YsPKfR8I7Og7N/9m4vt0eeWG3jJF0dGyoGtenW9XUdTKiBEJPI5KUf2g/jvXYY4+9//77MkoDkdiFSm5ubpZRDBMbGEPlNZAPGnDlBsPkgr4hBbw0wvcxpJSduFhY/gsmlPx3dOxcM6RbVd9bG2WEi/jlP78PWRKT/9bWVqz7n3jiCX19Lx77azf89+7diwQvvvii3GaYcCxzoHBIChptwydmKg30DSngpRG+jyGl7MTFEq/8Y0x/88035UYURFtacYSR/472ttU1kPC+4xvl7X3oKwJkznJcl/9MvNyRI/+ujCJKxZB5JnP7EAAyJSP/jY2NkydP1tf96CT33HPPvffeK7cdtm3bNmXKlKamJrnNMCGA9i9fvpzCIfEbbdXVpkBKv8QMg74hBbw03H3M3RUJpJSduFhilH/S/sjlP9oCiyCv/Hd07Hvq4T6oVccg8M/v0mJIjzuQSsr//B0ND4pdVX0vX7sP7azLv16UzNjRsWvNUIpxzLv8dtMH8x6DQWLy/9JLL82bN09uOHjKPyLnzp2LxHKbYeLBU9Hb29urqqrkRgak9EzMMAB9Qwp4aRh9DCMzuqLnDAApZScuFqhDLPKvtB/IqCiQJVqdAYSR/6cf6dtNivHFPaa9sKtjw/iqvt0dQ3y3qmFPHyb57/PNh4f+zIjPkX9XxkMdu9YOoxiSdu/yD5k+7JHeeZOM/KNXTJs2bcMG+eeR2AQtLS0k/7QJaC+STZ8+ncIMExNuRYf2I5LlnykI9A0p4KVh9DGMzIjxnAEgXnbiYolL/qVKO8ioKJAlOsioxAl187+jY80c6K567o4I58585ob8rVjHO/LfreqWZw7L9OIGwLr9uTf/3Rmd8v7W0X5w3mXj+nYf/5BfMipTyxIEEicj/xMnTty2bRuFofpu1G2A9957D4kpzDBhcB79l/Tsn7QfsPwzBYG+IQW8NIw+hpHZ6XceMwBEyk5cLHHJP5AqXXmrf5ArvR3thyDVYjOzOlfyL27di9vyzmt6kP+f58i/Z0anwPa6KqH9tzx72K/8FMg/lJ5Qwg8mTJhAiSH/U6ZMoTDDhAHaX8qzf1wFGGSdwZblnykM9A0p4KVh9DH0SaffCcaPHy9jHRAjO3GxxCj/IHKpjrzAIihI/sVj+Pb2TLi9rX3vkw+TJKvV/+/XdKj4i29rQl4p/2uzhegZofYUFg8CnBW/Z/m5Pvi8PKJITP6nT5+ubv4TdBsAwi+3MyDZjBkz5AbDxAPGUHkNOKgZAMs/UxDoG1LAS8PoY0r+De0HiJSduFjilX8QufzLkD1Cy798Nt/t4flr1g6lx/BiU67OM8/+EVMld9GdfF3+d3lkbF9TQzGZeO/yc30op1f/5s6dKzccPOUfkUi2YMECuc0w8YAxVF4DGWgGwPLPFAT6hhTw0jD6GMm/W/sB4mUnLhaoQ7zy3/kII/+i1Q49f7m4G6+/+ndxj7kbIMndx19ym5B/JLi4xyPPrxGv8l3cQ97JR04kxqacChgZb20U7/TRW36O+ZTfZPpQDq/+gXfffXfKlCnGF//0e/4EffGvsbFRbjNMCJxH/xF87x+Xg+diyzMxwwD0DSngpWH0Mc+uSCCl7MTFwvJfMOHkP2UkJv8Qe/rZn71798ooF9j1+OOP88/+MIUC7Y/qe/9ukDJ8YqbSQN+QAl4a4fsYUspOXCws/wXD8l8i+/fvRx0+9thjWOJjNiBjHbCJyEcffRQJ+Ed/mQQoaLQNn5ipNNA3pICXRvg+hpSyExcLy3/BsPyXDqQdi/tJkybNnTu3rq7uXQcE6C9/XnjhBUwRZFKGiZOCRtvwiZlKA31DCnhphO9jSCk7cbGw/BcMy39UNDU1vfTSS/SHv5MnT54xYwb94a/czTDxIySdYaJACnhpyLLCITtxsbD8FwxkUnzdrnNZW3v7k089Kc+QYRiG6eyw/BcMqquzmjxDhmEYprODMZ/lvzC6VfXtrCbPkGEYhunssPwzDMMwTMXB8s8wDMMwFQfLP8MwDMNUHFL+nX/SYRiGYRimIpDyf5JhGCY65ACTOPLwDMPkg+WfYZjokWqcOPLwDMPko6zl/8SJE586ICCjYiOBQzBM5SDVOB8bwiFTh0AePh+43kMiM0SELDQEMgPDxEb5yv/x48fnzp072mH+/PnYRKS8MjQocdHIUk6cuPLKK2UUwzAlI9U4EOj6qFGj6BoHfmEgM4RAHj4QXO9VVVXjQ3DbbbfJPFFgHNcvDKI9LsN4Uqbyj+ukpqbmtxluuOEGTAUQKbczIF5mKByUtnv37kceeaR///4I25V/OCBDZU/5uxqth1RaihqoTJBqHAjkX0l7mHAY5OEDQWtCYlXYEyNZJOgF+oUBNln+mQQoUv7RQYHciIFPP/10+PDhUuQdRowYgSPKjQxFyz+KamxsXLFixR133LFgwQJsFir/8FCGHIzNvOjpEf7d7363evVqtUmByCmxZNTSypUrb7/9drkdDhxU7yqRn51eYICHIY9rJKuvr7/vvvvoU0Yx4ZBqHIh1+UfA7zaAniwq9AL9wgCbFSj/g3KRseUNWkqGisIYbbAJ9DL1GHzSJu0CJR4d5JF/dTAcSR0MgVmzZmHRTJtxgONC76XIO5D8Q+8NZIYC2bVr17XXXvvUU0/RJkouSP63bNly4YUXvvPOO7TZ3Nx86aWXqs28GOlXrVr1pz/9icKFFhWe0ktGCdOmTZMb4di/f//555+PyQ1tRn52RoF+HoY8rpEMvWLevHktLS0o8+jRoxTJhESqcSAk7fgEdXV1AWGZIQTy8IGgZQ2BR0DH2BsVeoF+YYBNln8ZW8agmR566CG5USAQuM2bN//0pz/F8IJNFFVbW/ud73znu9/9Lo2WRgw2oVbY/MEPfkAD1JEjR7BC3rp1qyiuWILkHy7ieDgAAv369VMdFJuxaj/A2c6dOxfqTtqPADblvgxIU5z8I+MjjzyCHnb48GHa/OSTTyD/CACK0XEyZUHM008/fffddz/zzDMUo8sGKocikQxhoJdAMfv27VPpjWSqKD0XhSkNfaoAJQCiCC2GwnokHRQLWT2N2gtUes9NgDkT+pxKDygBpaQYfS/A6VxyySW/+c1vcFza1PVVZVebVBQ+VYB26Yg8mV1GgYaHlAyfmIVQMidrTrF6jFFFkHwUSAmctEwBSDUOBOpu69k/jWYUoE8CumvsdXJEg16gXxhgk+VfxpYxaKbi5P+jjz6CqF122WVK/jFAIQypxS6IGhaEegwSv/jii2PHjsWIhNFpypQpODTUR90wLppQ8o+1vt5TX3nlFexCQMU4I6QYIlUYqATFcfz48erqaowCoKamBgqNAqlMCoCi5R/TF5wFhZ988klo/xVXXIFPzLAaGxsx26JNgLo+dOgQZSTQHmiJbdu2UXsgRokQ9OPHP/4xWoXajOZuapaAvVgKI2bIkCGU3p2Mitq4cSN1AsSsXLkS4Z07d0JHcUSkxOQDowNyqVW1KpliqJDHH39clUyr8G9961vYpDsNRhbUA80u//u//xs90th0p9djHn74YToduKr2EuTJggULbrnlFpysrtZunwNOUOF5psEF3njjjag9o0JEWblZ/KoIWc4++2yavjDhkWocCORfSXuYcBjk4QNB96YBTQ/oGHujQi/QLwywWYr8y/E3F5Qpd5crUvYzyNiyhKoUkjR16lQKg0JrGAPUL3/5Sxpd1SNLFILRCRgxGGPHjRuHtc2WLVsgSfiM5HFkfvmnG90y6uRJnPO3v/1tDJHwBptw7sEHH6RRFWFUB8IAaUq/cuCADDkHggredNNNRkDuLhDklSEn/Mgjj0Dpp02bhvDNN98M7R84cCA28Yn4O++8UyZ1oKpHSmgGKTSJEDTbuBsD/yEh1MZIj0v62WefRTyaVt3DMZIpPUOTo3zkQgC5SJwQgA4hL46LAE0eqWSUic4xbNgw5KXE1HsQTxKuK6U7C/b+6le/wqfjkTgjfdOdXp0OeUinA6+M5+50ULiKeJrSkg9+PnueoCzLx+28BSKjZ4UElKaORdnhDGZpfP+/IKQaB1Im8k+fBBrd2OvkiAZ1OICB1AjLRJm+JzcKhAZtAwzO0A+ZIgNSlhVS9jPI2PJAVpkDNmW1OjJHAc8aDgajjZIGGuQpHiMSWt8zBgfC2Aihgfgiu9u3Qskj/1gM/eQnP8HhKQaO9uvXb/bs2eivv/nNb+i5AAk/JSAgkHBUbhQLSq6qqkIAhVP5RgAUJ//ICFF/++235bYTQzcDNm3ahF39+/en5wK7d+/GVACN5KQSICVaAhUC95BFX2hedtll0AmVDHudjiGf1ujSosIBySB+WDFjE596vDsAbTvvvPOoELB69Wq1Sz+WHunOgqU5KhMCSf3J2Ax5CIQN9KNjIb5jxw7aDCjQHZBlBboR3sNSsiDMhESqcSAk7fgEFfLs3+9NQ13vkaxo+Q8JrmvZ78sGKfsZZGwZ8L3vfU/WWi5opqKf/QOMKn7yD1kxYtSyihJDaIxXAYojv/xfcMEF0Hs9hioFwAl4c+2112IyQjpBaTAzqKmpoc2iQclQIPp0L/pLWf0jI3yura2V27k0NTW99957CCDZihUrDPk3NIPWkRSJs0aDIReSocHgG9aL2EXKgcbGWpaaSkV6JqMABBjC/9JLLw0fPhwJVLxnQJVMqF162Ig0sgB4jo6l7vbrm56HcJ8OwnT6CnVQxKNycLVQLs8CDT9VQKbwcltP7LfLL5w3i9qLE0RYv6/D5EWqcSBQd/0Zv18YyAwhkIcPBL0RiqsC9ElAd429To5oCFkgksUt/2WIlP0MMraMQTNFIv8IQ0lpJYkySfjdMSJP5t4z8tKjZ6wSp0yZQruKII/8Q+EwAqq33CnGGAfh39SpU+keAPjzn/8cyTWDokjdqVh3ABQt/4888sjAgQNpiW+AvfRJ2n/llVc+/fTTtAsYEzG0ENqJZINucaOpUEvUeAhgcU8TNFpP014V6U6mFAiFI/Fdd91FDa/i3QG9ZKAnNjJCw+AkSnZnAQgcOXIEcw5qX33Tnd7zdGje6hQmcXvSr1+/YJ/dAackQUCugF1+Yc8sqooAzkWd4I033sg3/wtCqnEgkH8l7WHCYZCHDwSNqwu809pZ1K14hCMZyhQhC0Qyln8ZW8agmaKSf4w5l112GZYZNORidDJiaExGGCttWo+pVwFKeQkgv/zjwBj+LrjgAmzihLFuVu87qGT0LABihgCy0F4kpgTFgewYnekz2tU/2L17N3rYpk2bDh06hHIoEoGDBw8++eSTTU1Nr776Kmn/U5kvBwIkgMCv1t63xCkjBo2BplIySTFYN2NKNGTIENqFxGhRyKQe6U6mikJ6klUKq3h3QJWs7kbou1QYzmNMQRp6r82dhTyhyY2x6U6vYpBm8ODBtFCm2qD0hO4JwPxAnZGfz+4A5SUCzjRgl1/YyGJUEVIiHpvKZyY8Uo0DKRP5d0Pqq5JFRcgCqR/KjYqBVF8hY8sYNFOhz/t1MLz8+te/prEUYGzEUKMGH3cMDofRldQHYaxMsKvEoSmP/GNwb2howMEw18AMAJEY5ckn7KI0FKbfzsMkQO0t8cuBKA1Sik8/MNUoWv4BPL/ZAat8zANQIALYhNuQf3oZUNf+hIF7OHo5LzpRY3ASrVDmfjJWkGocCEk7PkHyz/7FIBKIug0QFSgz5HFZ/mUsEydB8m8XXAZQ92Buuukmmboodu/ePW3atGuvvfaXv/wl1v0Qfmzu2bMHh/7jH/94xx13YB4gkybLR84XAst50Ykqoukn4MUx40aqcSBQd0h7XsaOHSszhEAePhD0XshwGKKVYVvHTQVS9jPIWCZOylf+LYKr9Pbbb8fqv7q6WkYxDFMIUo0TRx6eYZh8sPx7APnH0v8Xv/gFyz/DFIdU48SRh2cYJh8s/wzDRI9U48SRh2cYJh8s/wzDRI9U48SRh2cYJh8s/wzDRI9U48SRh2cYJh9S/tnY2NjY2NgqyMb1+f8BJk8bQu87BcoAAAAASUVORK5CYII=)"
      ],
      "metadata": {
        "id": "Hy9zYJwyRM2S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/tablazat.csv\n",
        "import csv\n",
        "\n",
        "with open('tablazat.csv', 'r') as f:\n",
        "  f.read(1) # UTF-8 formátumban mentett Excel fájl első bájtjának átlépése\n",
        "  # Magyar nyelvű Excel alapbeállítása: a cellaelválasztó jel a pontosvessző, idézésre idézőjelet használ.\n",
        "  olvaso = csv.reader(f, delimiter=';', quotechar='\"')\n",
        "  mtx = []\n",
        "  for sor in olvaso:\n",
        "    mtx.append(sor)\n",
        "print(mtx)\n",
        "\n",
        "!cat tablazat.csv\n",
        "!rm tablazat.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cBnxt3eiStnw",
        "outputId": "357c6e1a-c2ee-48e5-b345-2e9c3f2d5a05"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[['A1', 'B1', ''], ['', 'B2', 'Ebben a cellában ; karakter van'], ['A3', 'Ebben pedig \"idézet\"', 'C3']]\n",
            "﻿A1;B1;\r\n",
            ";B2;\"Ebben a cellában ; karakter van\"\r\n",
            "A3;\"Ebben pedig \"\"idézet\"\"\";C3\r\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Hasonló eredményre juthatunk, de rövidebben, ha a CSV olvasóból közvetlenül listát készítünk."
      ],
      "metadata": {
        "id": "0LZdmpG3hA39"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/tablazat.csv\n",
        "import csv\n",
        "\n",
        "with open('tablazat.csv', 'r') as f:\n",
        "  f.read(1) # UTF-8 formátumban mentett Excel fájl első bájtjának átlépése\n",
        "  # Magyar nyelvű Excel alapbeállítása: a cellaelválasztó jel a pontosvessző, idézésre idézőjelet használ.\n",
        "  olvaso = csv.reader(f, delimiter=';', quotechar='\"')\n",
        "  mtx = list(olvaso)\n",
        "print(mtx)\n",
        "\n",
        "!cat tablazat.csv\n",
        "!rm tablazat.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mib37SEbhIx2",
        "outputId": "2567d13d-0cfb-449b-9e2c-dbaddc48ea8e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[['A1', 'B1', ''], ['', 'B2', 'Ebben a cellában ; karakter van'], ['A3', 'Ebben pedig \"idézet\"', 'C3']]\n",
            "﻿A1;B1;\r\n",
            ";B2;\"Ebben a cellában ; karakter van\"\r\n",
            "A3;\"Ebben pedig \"\"idézet\"\"\";C3\r\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A feladat legyen most az, hogy egy Excelből kimentett [táblázatot](http://rs1.sze.hu/~hatwagnf/sales.xlsx) feldolgozunk. A mentés során most nem kértünk UTF-8 formátumot, ezért az alapértelmezett karakterkódolással ([windows-1250](https://en.wikipedia.org/wiki/Windows-1250)) vannak mentve az adatok. Készítsünk függvényt, ami egy adott dátum intervallumban (OrderDate) értékesített termékek (Item) összesített számát határozza meg!"
      ],
      "metadata": {
        "id": "IXyoJrP6mTpx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# https://www.contextures.com/xlsampledata01.html#data\n",
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/sales.csv\n",
        "import csv\n",
        "from typing import List, Tuple # összetett type hinting esetekhez\n",
        "\n",
        "def betolt(fajlnev : str) -> Tuple[List[str], List[List[str]]]:\n",
        "  with open(fajlnev, 'r', encoding=\"windows-1250\") as f: # karakterkódolás\n",
        "    olvaso = csv.reader(f, delimiter=';', quotechar='\"')\n",
        "    fejlec = next(olvaso) # a következő sor olvasása\n",
        "    adatok = []\n",
        "    for sor in olvaso:\n",
        "      adatok.append(sor)\n",
        "  return fejlec, adatok\n",
        "\n",
        "def angol2magyar(datum : str) -> str: # HH/NN/ÉÉÉÉ --> ÉÉÉÉ.HH.NN\n",
        "  elemek = datum.split('/')\n",
        "  return elemek[2] + \".\" + elemek[0] + \".\" + elemek[1];\n",
        "\n",
        "def szuro(fejlec : List[str], adatok : List[List[str]], datumTol : str, datumIg : str, termek : str) -> int:\n",
        "  szotar = {fej:idx for (idx, fej) in enumerate(fejlec)} # a fejléc cellák tartalmát lehessen használni a sorok indexelésére számok helyett\n",
        "  datumTol = angol2magyar(datumTol)\n",
        "  datumIg = angol2magyar(datumIg)\n",
        "  osszeg = 0;\n",
        "  for sor in adatok:\n",
        "    datum = angol2magyar(sor[szotar[\"OrderDate\"]])\n",
        "    if datum>=datumTol and datum<=datumIg and termek==sor[szotar[\"Item\"]]:\n",
        "      osszeg = osszeg + int(sor[szotar[\"Units\"]])\n",
        "  return osszeg\n",
        "\n",
        "tabla = betolt('sales.csv')\n",
        "print(szuro(*tabla, \"11/8/2020\", \"4/10/2021\", \"Pen\"))\n",
        "\n",
        "!rm sales.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DwKNjGRGKKDU",
        "outputId": "4b622fcf-c774-4946-dd08-5b5b2a5b1593"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "42\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Programból előállított adatok mentése CSV formátumba hasonlóan történik. A *csv* könyvtárból a *writer* függvény szolgáltat objektumot az íráshoz, melynek *writerow* függvénye egy sort, *writerows* függvénye több sort ír egyszerre a fájlba. A generált adatok letölthetőek a Google Colab könyvtárával helyi gépre további feldolgozás céljából."
      ],
      "metadata": {
        "id": "YddVat0W6qoi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import csv\n",
        "from google.colab import files\n",
        "\n",
        "fajlnev = \"kimenet.csv\"\n",
        "fejlec = (\"oszlop1\", \"oszlop2\")\n",
        "adatok = (\n",
        "    (11, 12),\n",
        "    (21, 22)\n",
        ");\n",
        "with open(fajlnev, \"w\") as f:\n",
        "  writer = csv.writer(f, delimiter=';', quotechar='\"')\n",
        "  writer.writerow(fejlec)\n",
        "  writer.writerows(adatok)\n",
        "\n",
        "!cat kimenet.csv\n",
        "files.download(fajlnev)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "S6WJpIDy4N1e",
        "outputId": "c60b8b63-5274-45be-e394-1f3527214d2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "oszlop1;oszlop2\r\n",
            "11;12\r\n",
            "21;22\r\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_cd303e4b-0a40-46cd-995b-ba9fa52f08c7\", \"kimenet.csv\", 31)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Adatvizualizáció [Matplotlib](https://matplotlib.org/stable/index.html)  segítségével\n",
        "\n",
        "[Pyplot](https://matplotlib.org/stable/tutorials/introductory/usage.html): Python interfész a Matplotlibhez, Matlab-ban megszokott típusú diagramok készítéséhez. Többféle módon is elérhetők ugyanazok a szolgáltatások, de itt csak egyet mutatunk be (OO stílus), és csak az alapvető, leggyakrabban használt lehetőségekre fókuszálunk."
      ],
      "metadata": {
        "id": "iHnB_V3QoNer"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
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)"
      ],
      "metadata": {
        "id": "Ys8SHfyV3rcI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- [Figure](https://matplotlib.org/stable/api/figure_api.html) (fig): a teljes ábra, ami egységbe foglalja a diagramo(ka)t és azok összes komponensét (rácsos elrendezésben több diagram is elhelyezhető egymás mellett egy ábrán).\n",
        "- [Axes](https://matplotlib.org/stable/api/axes_api.html) (ax): egy Figure-höz kapcsolt elem, ami az egy diagramon megjelenítő komponensek (az [Artist](https://matplotlib.org/stable/api/artist_api.html)-ok) egyike, mely egy rajzolási területet reprezentál, egyfajta vászonnak, vagy vászon darabnak tekinthető (egy Figure több diagrammal, tehát több Axes-szal is rendelkezhet). Általában kettő [Axis](https://matplotlib.org/stable/api/axis_api.html) (tengely) objektumot tartalmaz diagramonként, azokon osztásokkal, azok felirataival, tengelynevekkel, stb. A különféle diagramtípusoknak megfelelő rajzolási műveletek ennek az objektumnak a metódusai (pl. plot())\n",
        "- [subplots()](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html): a Pyplot metódusa, mely létrehozza a Figure-t és annak egy- vagy több diagramterületét.\n",
        "- [plot()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html): *y* értékek rajzolása *x* értékek függvényében valamelyik diagramon, melyeket vonal köt össze, és/vagy jelölőkkel ([Marker](https://matplotlib.org/stable/gallery/lines_bars_and_markers/marker_reference.html)) jelzi az adatpontokat.\n"
      ],
      "metadata": {
        "id": "D4NQJTSXXxQ6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "fig, ax = plt.subplots() # Alapértelmezetten egy diagramot (ax) kapunk az ábrán (fig)\n",
        "ax.plot([1, 2, 3, 4], [1, 4, 2, 3]); # A megjelenítendő x, majd y értékek listája. Ezeket alapértelmezetten vonalak kötik össze.\n",
        "# A tengelyek beosztása automatikusan történik."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "NxUvEPmR5bSy",
        "outputId": "45250ea2-3372-4138-eef6-6093ad03ac52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Kérhetünk feliratot\n",
        "- az egész diagramhoz ([set_title()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html)), pl. \"Függvények\"\n",
        "- az x tengelyre ([set_xlabel()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_xlabel.html)), pl. \"x\"\n",
        "- az y tengelyre ([set_ylabel()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_ylabel.html)), pl. \"f(x)\"\n",
        "\n",
        "Jelmagyarázatot a [legend()](https://matplotlib.org/stable/tutorials/intermediate/legend_guide.html) metódus jelenít meg. Olyan helyet keres, ahol a legkevésbé takarja az adatokat. Tartalma a plot() hívásban megadott *label* paraméter értékétől függ.\n",
        "\n",
        "Több görbét is felrajzolhatunk egy diagramra. Ekkor automatikusan más-más beállításokat használ a matplotlib, hogy a görbék megkülönböztethetők legyenek."
      ],
      "metadata": {
        "id": "sN_MWhLZgkPT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import math\n",
        "fig, ax = plt.subplots()\n",
        "ax.set_title(\"Függvények\") # Diagram felirata\n",
        "ax.set_xlabel(\"x\")         # Az x tengely felirata\n",
        "ax.set_ylabel(\"f(x)\")      # Az y tengely felirata\n",
        "PRECISION = 50             # Pontosság; ennyi adatpontot generálunk, \n",
        "                           # hogy sima görbéket kapjunk\n",
        "# A range() csak egész számokkal tud dolgozni, ezért a vizsgált tartomány \n",
        "# [0, 2pi] PRECISION darab xi értékének előállítására közvetetten használjuk.                           \n",
        "x = [(x/(PRECISION-1))*(2.*math.pi) for x in range(PRECISION)]\n",
        "sin_y = [math.sin(xi) for xi in x] # Minden xi értékhez meghatározza a sin() fv. értékét\n",
        "cos_y = [math.cos(xi) for xi in x] # Ua., csak cos()-szal\n",
        "ax.plot(x, sin_y, label=\"sin()\")   # 'label' értéke lesz a görbe jelmagyarázatban feltüntetett szövege\n",
        "ax.plot(x, cos_y, label=\"cos()\")\n",
        "ax.legend();                       # Jelmagyarázat megjelenítése"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "FCNaExdJ7bwS",
        "outputId": "fbbc2c08-8579-41f5-cc2b-9d9ebd346770"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ha a görbéknek automatikusan választott színek valamiért nem megfelelőek (pl. mert monokróm lézernyomtatón kinyomtatva nem különböztethetőek meg jól az eltérő színű görbék), akkor beállíthatunk általunk meghatározott színeket, vonalstílusokat, vastagságokat.\n",
        "\n",
        "Még a jelmagyarázat helye is megváltoztatható, ha pl. azt szeretnénk elérni, hogy több ábránk egységes megjelenést kapjon.\n",
        "\n",
        "- [Vonalstílusok](https://matplotlib.org/3.5.1/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_linestyle) (linestyle)\n",
        "- [Színek](https://matplotlib.org/3.5.1/tutorials/colors/colors.html) (color)\n",
        "- [Vastagság](https://matplotlib.org/stable/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_linewidth) (linewidth)\n",
        "- [Jelmagyarázat pozíciója](https://matplotlib.org/3.5.1/api/_as_gen/matplotlib.pyplot.legend.html)"
      ],
      "metadata": {
        "id": "c4jmy2S-FTza"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import math\n",
        "fig, ax = plt.subplots()\n",
        "ax.set_title(\"Függvények\")\n",
        "ax.set_xlabel(\"x\")\n",
        "ax.set_ylabel(\"f(x)\")\n",
        "PRECISION = 50\n",
        "x = [(x/(PRECISION-1))*(2*math.pi) for x in range(PRECISION)]\n",
        "sin_y = [math.sin(xi) for xi in x]\n",
        "cos_y = [math.cos(xi) for xi in x]\n",
        "# Piros szín (színkonstanssal megadva), 1.5 pont vonalvastagság, szaggatott vonalstílus\n",
        "ax.plot(x, sin_y, label=\"sin()\", color=\"red\", linewidth=1.5, linestyle=\"--\")\n",
        "# Fekete szín (RGB összetevők intenzitásával megadva), 2.5 pont vonalvastagság, pontvonal (kulcsszóval)\n",
        "ax.plot(x, cos_y, label=\"cos()\", color=(0, 0, 0), linewidth=2.5, linestyle=\"dotted\")\n",
        "ax.legend(loc=\"upper right\"); # Jelmagyarázat a jobb felső sarokban"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "A_PACfVKEa67",
        "outputId": "a997d75c-5c5a-4ece-dce2-017692e6d6eb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Az adatpontokat külön meg lehet jelölni, hangsúlyozandó, hogy valójában csak ezek az adatok állnak rendelkezésre, az összekötő vonalak mentén leolvasható értékek csak feltételezések. (Az előző ábrákon olyan sok volt belőlük, hogy nem lett volna értelme külön jelölni őket.) Az ábrán megjelenítendő [jelölők](https://matplotlib.org/3.5.1/api/markers_api.html) tulajdonságai a *marker* paraméteren keresztül állíthatók be."
      ],
      "metadata": {
        "id": "tgNscW7IJam_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "fig, ax = plt.subplots()\n",
        "ax.plot([1, 2, 3, 4], [1, 4, 2, 3], marker=\"D\"); # 'D' mint diamond, azaz gyémánt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "keLvvJL0Iv-0",
        "outputId": "0cf9aeca-51a1-4b65-abe6-7e36dd23e115"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Lehet, hogy az összekötő vonalakra nincs is szükség (mert pl. azt a hamis illúziót keltenék, hogy a vizsgált függvény folytonos). Ilyenkor elegendő csak a jelölőket feltüntetni. Ezt legkönnyebben a plot() *fmt* paraméterével tehetjük meg, mely egy formázott karakterlánc, és a következő, elhagyható összetevőkből áll:\n",
        "\n",
        "- Jelölő, pl. '.' a ponthoz, 'o' a körhöz, '*' a csillaghoz, stb.\n",
        "- Vonalstílus, pl. a '-' folytonos, a '--' szaggatott, a ':' pontvonalat eredményez.\n",
        "- Szín, pl. 'r' vörös, 'g' zöld, 'b' kék színt eredményez."
      ],
      "metadata": {
        "id": "9WnOGgzBsNUx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "fig, ax = plt.subplots()\n",
        "ax.plot([1, 2, 3, 4], [1, 4, 2, 3], \"ob\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "-5EkkC-5o2UF",
        "outputId": "2781ca28-41a0-44dd-8080-a9555f873e70"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAPu0lEQVR4nO3dXYhdZ73H8e8vTVCHigUzYGle5kJvjmJfHHoqhUOpCFVLe2GFyvhSUQY8HqwcQdBAxUIuvFHRgmVoxapztFJFYmkvCq2oF41MYlptI4dcmLSl0LHV1DJaiP7PxV49Jrsz3Xtm9rzsJ98PbNZaz3qy1v/p0/xmzdprZ6eqkCSNvx1bXYAkaTQMdElqhIEuSY0w0CWpEQa6JDVi51adePfu3TU1NbVVp5eksXTkyJE/VdXkcvu2LNCnpqZYWFjYqtNL0lhKcnKlfd5ykaRGGOiS1AgDXZIaYaBLUiMMdElqxNCBnuSCJL9Ncv8y+16X5N4kJ5IcTjI1yiK1vc3Pw9QU7NjRW87Pb3VF0vlpNVfotwLHV9j3SeDPVfVW4OvAV9dbmMbD/DzMzsLJk1DVW87OGurSVhgq0JPsAT4A3LVClxuBe7r1+4D3JMn6y9N2d+AALC2d27a01GuXtLmGvUL/BvAF4J8r7L8EeAqgqs4Ap4E393dKMptkIcnC4uLiGsrVdnPq1OraJW2cgYGe5Hrguao6st6TVdVcVU1X1fTk5LKfXNWY2bdvde2SNs4wV+hXAzck+SPwI+DaJD/o6/MMsBcgyU7gTcDzI6xT29TBgzAxcW7bxESvXdLmGhjoVfXFqtpTVVPAzcDDVfWRvm6HgI936zd1ffxuu/PAzAzMzcH+/ZD0lnNzvXZJm2vN/zhXktuBhao6BNwNfD/JCeAFesGv88TMjAEubQerCvSq+gXwi279trPa/w58aJSFSZJWx0+KSlIjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGjEw0JO8PslvkjyW5IkkX1mmzy1JFpMc616f2phyJUkr2TlEn5eBa6vqpSS7gF8nebCqHu3rd29V/dfoS5QkDWNgoFdVAS91m7u6V21kUZKk1RvqHnqSC5IcA54DHqqqw8t0+2CSx5Pcl2TvCseZTbKQZGFxcXEdZUuS+g0V6FX1j6q6DNgDXJnkHX1dfg5MVdU7gYeAe1Y4zlxVTVfV9OTk5HrqliT1WdVTLlX1F+AR4Lq+9uer6uVu8y7gXaMpT5I0rGGecplMclG3/gbgvcAf+vpcfNbmDcDxURYpSRpsmKdcLgbuSXIBvR8AP66q+5PcDixU1SHgs0luAM4ALwC3bFTBkqTlpfcQy+abnp6uhYWFLTm3JI2rJEeqanq5fX5SVJIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1IiBgZ7k9Ul+k+SxJE8k+coyfV6X5N4kJ5IcTjK1EcVK0jibn4epKdixo7ecnx/t8Ye5Qn8ZuLaqLgUuA65LclVfn08Cf66qtwJfB7462jIlabzNz8PsLJw8CVW95ezsaEN9YKBXz0vd5q7uVX3dbgTu6dbvA96TJCOrUpLG3IEDsLR0btvSUq99VIa6h57kgiTHgOeAh6rqcF+XS4CnAKrqDHAaePMyx5lNspBkYXFxcX2VS9IYOXVqde1rMVSgV9U/quoyYA9wZZJ3rOVkVTVXVdNVNT05ObmWQ0jSWNq3b3Xta7Gqp1yq6i/AI8B1fbueAfYCJNkJvAl4fhQFSlILDh6EiYlz2yYmeu2jMsxTLpNJLurW3wC8F/hDX7dDwMe79ZuAh6uq/z67JJ23ZmZgbg7274ekt5yb67WPys4h+lwM3JPkAno/AH5cVfcnuR1YqKpDwN3A95OcAF4Abh5diZLUhpmZ0QZ4v4GBXlWPA5cv037bWet/Bz402tIkSavhJ0UlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNGBjoSfYmeSTJk0meSHLrMn2uSXI6ybHuddvGlCtJWsnOIfqcAT5fVUeTvBE4kuShqnqyr9+vqur60ZcoSRrGwCv0qnq2qo52638FjgOXbHRhkqTVWdU99CRTwOXA4WV2vzvJY0keTPL2Ff78bJKFJAuLi4urLlaStLKhAz3JhcBPgM9V1Yt9u48C+6vqUuBbwM+WO0ZVzVXVdFVNT05OrrVmSdIyhgr0JLvohfl8Vf20f39VvVhVL3XrDwC7kuweaaWSpNc0zFMuAe4GjlfV11bo85auH0mu7I77/CgLlSS9tmGecrka+CjwuyTHurYvAfsAqupO4Cbg00nOAH8Dbq6q2oB6JUkrGBjoVfVrIAP63AHcMaqiJEmr5ydFJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjRgY6En2JnkkyZNJnkhy6zJ9kuSbSU4keTzJFRtTrqRhzM/D1BTs2NFbzs9vdUXaDDuH6HMG+HxVHU3yRuBIkoeq6smz+rwPeFv3+nfg291S0iabn4fZWVha6m2fPNnbBpiZ2bq6tPEGXqFX1bNVdbRb/ytwHLikr9uNwPeq51HgoiQXj7xaSQMdOPCvMH/F0lKvXW1b1T30JFPA5cDhvl2XAE+dtf00rw59kswmWUiysLi4uLpKJQ3l1KnVtasdQwd6kguBnwCfq6oX13Kyqpqrqumqmp6cnFzLISQNsG/f6trVjqECPckuemE+X1U/XabLM8Des7b3dG2SNtnBgzAxcW7bxESvXW0b5imXAHcDx6vqayt0OwR8rHva5SrgdFU9O8I6JQ1pZgbm5mD/fkh6y7k53xA9HwzzlMvVwEeB3yU51rV9CdgHUFV3Ag8A7wdOAEvAJ0ZfqqRhzcwY4OejgYFeVb8GMqBPAZ8ZVVGSpNXzk6KS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGDAz0JN9J8lyS36+w/5okp5Mc6163jb5MSdIgO4fo813gDuB7r9HnV1V1/UgqkiStycAr9Kr6JfDCJtQiSVqHUd1Df3eSx5I8mOTtK3VKMptkIcnC4uLiiE4tSYLRBPpRYH9VXQp8C/jZSh2raq6qpqtqenJycgSnliS9Yt2BXlUvVtVL3foDwK4ku9ddmSRpVdYd6EnekiTd+pXdMZ9f73ElSasz8CmXJD8ErgF2J3ka+DKwC6Cq7gRuAj6d5AzwN+DmqqoNq1iStKyBgV5VHx6w/w56jzVKkraQnxSVpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1YmCgJ/lOkueS/H6F/UnyzSQnkjye5IrRl9kzPw9TU7BjR285P79RZ5Kk8TPMFfp3geteY//7gLd1r1ng2+sv69Xm52F2Fk6ehKrecnbWUJekVwwM9Kr6JfDCa3S5Efhe9TwKXJTk4lEV+IoDB2Bp6dy2paVeuyRpNPfQLwGeOmv76a7tVZLMJllIsrC4uLiqk5w6tbp2STrfbOqbolU1V1XTVTU9OTm5qj+7b9/q2iXpfDOKQH8G2HvW9p6ubaQOHoSJiXPbJiZ67ZKk0QT6IeBj3dMuVwGnq+rZERz3HDMzMDcH+/dD0lvOzfXaJUmwc1CHJD8ErgF2J3ka+DKwC6Cq7gQeAN4PnACWgE9sVLEzMwa4JK1kYKBX1YcH7C/gMyOrSJK0Jn5SVJIaYaBLUiMMdElqhIEuSY1I7z3NLThxsgicXOMf3w38aYTlbCXHsj21MpZWxgGO5RX7q2rZT2ZuWaCvR5KFqpre6jpGwbFsT62MpZVxgGMZhrdcJKkRBrokNWJcA31uqwsYIceyPbUyllbGAY5loLG8hy5JerVxvUKXJPUx0CWpEds60LfTF1SvxxDjuCbJ6STHutdtm13jsJLsTfJIkieTPJHk1mX6bPt5GXIcYzEvSV6f5DdJHuvG8pVl+rwuyb3dnBxOMrX5lQ425FhuSbJ41rx8aitqHUaSC5L8Nsn9y+wb/ZxU1bZ9Af8BXAH8foX97wceBAJcBRze6prXOI5rgPu3us4hx3IxcEW3/kbgf4F/G7d5GXIcYzEv3X/nC7v1XcBh4Kq+Pv8J3Nmt3wzcu9V1r2MstwB3bHWtQ47nv4H/We7/o42Yk219hV7b5Auq12uIcYyNqnq2qo52638FjvPq75Dd9vMy5DjGQvff+aVuc1f36n/a4Ubgnm79PuA9SbJJJQ5tyLGMhSR7gA8Ad63QZeRzsq0DfQhDf0H1GHh392vmg0nevtXFDKP7FfFyeldRZxureXmNccCYzEv3q/0x4DngoapacU6q6gxwGnjz5lY5nCHGAvDB7nbefUn2LrN/O/gG8AXgnyvsH/mcjHugt+IovX+f4VLgW8DPtriegZJcCPwE+FxVvbjV9azVgHGMzbxU1T+q6jJ63+l7ZZJ3bHVNazXEWH4OTFXVO4GH+NdV7raR5Hrguao6spnnHfdA35QvqN5oVfXiK79mVtUDwK4ku7e4rBUl2UUvBOer6qfLdBmLeRk0jnGbF4Cq+gvwCHBd367/n5MkO4E3Ac9vbnWrs9JYqur5qnq527wLeNdm1zaEq4EbkvwR+BFwbZIf9PUZ+ZyMe6BvyhdUb7Qkb3nl3lmSK+nNy7b8y9bVeTdwvKq+tkK3bT8vw4xjXOYlyWSSi7r1NwDvBf7Q1+0Q8PFu/Sbg4erejdtOhhlL3/sxN9B7/2NbqaovVtWeqpqi94bnw1X1kb5uI5+Tgd8pupWyjb6gej2GGMdNwKeTnAH+Bty8Hf+yda4GPgr8rrvPCfAlYB+M1bwMM45xmZeLgXuSXEDvh86Pq+r+JLcDC1V1iN4Pr+8nOUHvDfqbt67c1zTMWD6b5AbgDL2x3LJl1a7SRs+JH/2XpEaM+y0XSVLHQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmN+D/265RrwNB7PgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ha csak jelölőket szeretnénk a diagramon feltüntetni, valószínűleg kifejezőbb a [scatter()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.scatter.html) diagramtípus (pontdiagram, buborék diagram) használata. A megjelenés testre szabható:\n",
        "\n",
        "- marker: a jelölő típusa (pl. 'o' esetén kör)\n",
        "- s: a jelölő mérete (pont négyzetében megadva)\n",
        "- facecolor: kitöltőszín, pl. \"red\" esetén vörös\n",
        "- edgecolor: körvonalszín, pl. \"black\" esetén fekete\n",
        "\n",
        "Az ábra méretét a subplots()-nak átadott *figsize* paraméter tuple-lel lehet beállítani a kívántra (az ábra szélessége és magassága inch-ben, alapértelmezetten 6.4 és 4.8). Ennek nyilván csak a felbontással (*dpi*) együtt van értelme, ami alapértelmezetten 100 értékű."
      ],
      "metadata": {
        "id": "1zXRex6ct72p"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import random\n",
        "fig, ax = plt.subplots(figsize=(10, 10)) # 10x10 inch, kb. 25.4x25.4 cm méret\n",
        "N = 15 # Adatpontok száma jelölő-típusonként\n",
        "x1 = [random.uniform(0, 1) for xi in range(N)]\n",
        "y1 = [random.uniform(0, 1) for yi in range(N)]\n",
        "x2 = [random.uniform(0, 1) for xi in range(N)]\n",
        "y2 = [random.uniform(0, 1) for yi in range(N)]\n",
        "# Kör jelölő, növelt jelölőméret, vörös kitöltés, fekete körvonal\n",
        "ax.scatter(x1, y1, marker=\"o\", s=500, facecolor=\"red\", edgecolor=\"black\")\n",
        "# Négyzet (square) jelölő, zöld szín\n",
        "ax.scatter(x2, y2, marker=\"s\", color=\"green\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "XxDRlJMcHuhp",
        "outputId": "306012b7-a651-4176-e70e-b124f9f6dd3e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A tengelyeken feltüntetett adatok formázása is számtalan módon befolyásolható, melyek részletesebb leírását erre találják:\n",
        "\n",
        "- [Tick locators](https://matplotlib.org/stable/gallery/ticks/tick-locators.html), a jelölők elhelyezése a tengelyek mentén\n",
        "- [Tick formatters](https://matplotlib.org/stable/gallery/ticks/tick-formatters.html), a jelölők feliratainak formázása\n",
        "\n",
        "Az egyszerűség kedvéért csak a [jelölők értékét, számát](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_xticks.html)  és a [feliratokat](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_xticklabels.html) határozzuk meg egy-egy listával. Ha nem adunk meg külön feliratokat, akkor az értékeket nyomtatja a tengely mentén."
      ],
      "metadata": {
        "id": "N90HA6ZMQPsG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import math\n",
        "fig, ax = plt.subplots()\n",
        "PRECISION = 50\n",
        "x = [(x/(PRECISION-1))*(2.*math.pi) for x in range(PRECISION)]\n",
        "sin_y = [math.sin(xi) for xi in x]\n",
        "# 10 osztás lesz az x tengelyen, azaz 9 intervallumra osztjuk a [0, 2pi] tartományt\n",
        "XOSZTAS = 10\n",
        "ax.set_xticks([(xi/(XOSZTAS-1))*(2*math.pi) for xi in range(XOSZTAS)])\n",
        "ax.set_xticklabels([f\"{2.*xi/(XOSZTAS-1):.1f}pi\" for xi in range(XOSZTAS)])\n",
        "# 5 osztás lesz az y tengelyen, azaz 4 intervallumra osztjuk a [-1, +1] tartományt\n",
        "YOSZTAS = 5\n",
        "ax.set_yticks([yi/2 for yi in range(-YOSZTAS//2, YOSZTAS-YOSZTAS//2)]) # -2, 3\n",
        "ax.set_xlabel(\"x (rad)\")\n",
        "ax.set_ylabel(\"sin(x)\")\n",
        "ax.plot(x, sin_y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "XLr4pLcmJr4e",
        "outputId": "baa3661e-003c-4867-d20f-f1a4b58720b3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Időnként egy diagramterületen két görbét is meg kell jeleníteni, melyekhez külön y tengelyek tartoznak. Ilyenre jellemző példa, amikor egy autó motorjának teljesítményét és nyomatékát ábrázolják a motor fordulatszámának függvényében. A mérési adatok most egy hálózatra feltöltött CSV adatfájlban állnak rendelkezésre, amit előbb le kell tölteni a saját gépünkre (wget). A táblázatos adatok szerkezete nem alkalmas azonnali megjelenítésre (ld. a fájl tartalmát a cat-tel történő nyomtatás után), előbb át kell alakítani a pyplot igényeinek megfelelően (pl. a fordulatszámok az első oszlopban vannak, amikből egy listát készítünk, hogy az értékek megjelenhessenek az x tengely mentén).\n",
        "\n",
        "Mivel a két görbe ugyanazt az x tengelyt fogja használni, a [twinx()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.twinx.html) metódussal készítünk egy újabb, az előző \"tetején\" elhelyezett diagramterületet, melynek az y tengelyét a jobb oldalon helyezik el.\n",
        "\n",
        "A plot() metódusok visszatérési értékére most szükség van, hogy a jelmagyarázatban a különböző diagramterületeken elhelyezett görbékhez címkéket rendelhessünk."
      ],
      "metadata": {
        "id": "m46ToKfi559v"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -q https://raw.githubusercontent.com/sze-info/gknb_intm023/main/adatfajlok/engine.csv # letöltés\n",
        "!cat engine.csv                              # nyomtatás\n",
        "import csv\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "with open(\"engine.csv\", \"r\") as f:\n",
        "  olvaso = csv.reader(f, delimiter=';', quotechar='\"')\n",
        "  fejlec = next(olvaso)\n",
        "  adatok = list(olvaso)\n",
        "\n",
        "fordulat = [float(x[0]) for x in adatok]     # első oszlop\n",
        "nyomatek = [float(x[1]) for x in adatok]     # második oszlop\n",
        "teljesitmeny = [float(x[2]) for x in adatok] # harmadik oszlop\n",
        "\n",
        "fig, ax1 = plt.subplots()\n",
        "ax1.set_xlabel(\"RPM\")\n",
        "ax1.set_ylabel(\"Nm\")\n",
        "l1, = ax1.plot(fordulat, nyomatek) # nyomaték görbe az első diagramon\n",
        "ax2 = ax1.twinx()                  # második diagramterület kérése, az x tengely közös\n",
        "ax2.set_ylabel(\"kW\")\n",
        "l2, = ax2.plot(fordulat, teljesitmeny, \"-r\") # teljesítmény görbe a második diagramon\n",
        "# közös jelmagyarázat: görbék, majd felirataik listája\n",
        "ax2.legend([l1, l2], [\"Nyomaték (balra)\", \"Teljesítmény (jobbra)\"]);\n",
        "\n",
        "!rm engine.csv # adatfájl törlése"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 463
        },
        "id": "BHpOKIx6Y9mb",
        "outputId": "789b7d32-aa60-4948-acf9-9c219f14dcd7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Engine speed (RPM);Torque (Nm);Shaft power (kW)\n",
            "1500;97.8;15.355\n",
            "2000;115.3;24.136\n",
            "2500;116.1;30.380\n",
            "3000;114.2;35.859\n",
            "3500;118.4;43.395\n",
            "4000;120.4;50.407\n",
            "4500;119.3;56.190\n",
            "5000;115.7;60.550\n",
            "5500;109.2;63.200\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Időnként nagyon széles tartományban helyezkednek el a mérési adatok, ami egy lineárisan skálázott diagramon oda vezet, hogy\n",
        "- vagy nem lehet pontos értéket leolvasni,\n",
        "- vagy nem lehet egyszerre minden adatot feltüntetni a diagramon.\n",
        "\n",
        "Ezen valamelyest segíthet, ha az y tengelyt logaritmikus beosztásúnak ([set_yscale('log')](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_yscale.html))választjuk. A következő példában ugyanazt a függvényt ábrázoljuk először lináris, másodszor logaritmikus y tengellyel megrajzolt diagramon.\n",
        "\n",
        "Két diagramot (subplots() *nrows* paramétere adja meg a sorok, *ncols* az oszlopok számát) is készítettünk egy ábrán, hogy jól össze lehessen hasonlítani a két módszert.\n",
        "\n",
        "A leolvashatóságot tovább javítja a háttér rácsozása ([grid()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.grid.html))."
      ],
      "metadata": {
        "id": "L8JnKhahKPWl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "# egy sorban két diagram a közös ábrán\n",
        "fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(16, 9))\n",
        "N = 25\n",
        "# Az x, és ennek következtében az y értékek szándékosan nem 0-val kezdődnek, \n",
        "# hiszen azt nem lehetne a logaritmikus skálán ábrázolni\n",
        "x = [x for x in range(1, N)]\n",
        "y = [x**2 for x in range(1, N)] \n",
        "ax1.grid(True) # háttér rácsozásának bekapcsolása\n",
        "ax1.plot(x, y)\n",
        "ax2.grid(True)\n",
        "ax2.set_yscale('log') # Az y tengely logaritmikus osztású\n",
        "ax2.plot(x, y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "gY1fj3pCggLX",
        "outputId": "83f0ad1a-3b15-49ac-edfd-4ee5037dec36"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x648 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A diagramokon elhelyezett különféle [szövegek formázhatóak](https://matplotlib.org/3.5.1/tutorials/text/text_props.html). Pl. a diagram felirata lehet 24 pontos betűkkel szedett (*fontsize*), kék színű (*color*), talp nélküli karakterkészlettel írt (*family*) és dőlt betűs (*style*).\n",
        "\n",
        "Nem csak a már megismert feliratok formázhatók ilyen módon, de a diagramon tetszőleges helyre helyezhetünk [szöveget](https://matplotlib.org/3.5.1/api/_as_gen/matplotlib.axes.Axes.text.html), amit ugyanígy megformázhatunk.\n",
        "\n",
        "A szöveget megadhatjuk [(La)TeX formázással](https://matplotlib.org/3.5.1/tutorials/text/mathtext.html), amivel könnyű görög betűket és egyenleteket, speciális jelöléseket (pl. törtek, gyökvonás, integrálás), indexelést, stb. megadni.\n",
        "\n",
        "Arra is van mód, hogy [feliratokat készítsünk egy-egy meghatározott adatponthoz](https://matplotlib.org/3.5.1/gallery/text_labels_and_annotations/annotation_demo.html)."
      ],
      "metadata": {
        "id": "5TUDOA0cS_kS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt, random, math\n",
        "\n",
        "# Síkbeli pont origótól való távolsága\n",
        "def distance(x, y):\n",
        "  return math.sqrt(x*x + y*y);\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(12, 8))\n",
        "N = 1000\n",
        "x = [random.gauss(0, 1) for xi in range(N)]\n",
        "y = [random.gauss(0, 1) for xi in range(N)]\n",
        "max_dist = -1 # Az eddig fellelt legnagyobb távolság\n",
        "for (xi, yi) in zip(x, y):\n",
        "  d = distance(xi, yi)\n",
        "  if d > max_dist:\n",
        "    max_dist = d\n",
        "    dist_x, dist_y = xi, yi # Alegtávolabb lévő pont helye\n",
        "ax.axis([-6, +6, -4, +4]) # A tengelyek mentén ábrázolható legkisebb és legnagyobb értékek\n",
        "# Betméret, írásszín, karaktercsalád, stílus (álló, dőlt) beállítása\n",
        "ax.set_title(\"Normális (Gauss) eloszlás\", fontsize=\"24\", color=\"blue\", family=\"sans-serif\", style=\"italic\")\n",
        "# Az első két paraméter a szöveget befoglaló téglalap alakú terület egyik sarkának pozíciója\n",
        "# az adatok koordinátarendszerében megadva. Nálunk az x=6 érték a diagram jobb szélét,\n",
        "# az y=4 pedig a tetejét jelenti, tehát a viszonyítási pont a diagram jobb felső sarka.\n",
        "# Ez a pont a téglalap jobb (horizontalalignment=\"right\") felső (verticalalignment=\"top\") sarkának helye.\n",
        "# A felirat (La)TeX formázással készült a görög betűk megjelenítése miatt. \n",
        "ax.text(6, 4, r'$\\mu=0,\\ \\sigma=1$', fontsize=\"14\", horizontalalignment=\"right\", verticalalignment=\"top\")\n",
        "# Egy adatpont, most az origótól legtávolabbi feliratozása. *xy* a megjelölendő pont helye,\n",
        "# *xytext* a felirat helye a diagramon, az *arrowprops* pedig a kettő közötti nyíl tulajdonságait\n",
        "# adja meg: *facecolor*  a színét, *shrink* pedig a rövidítés mértékét (hogy ne érjen hozzá a szöveghez \n",
        "# és a mutatott ponthoz).\n",
        "ax.annotate(\"Legtávolabbi elem\", xy=(dist_x, dist_y), xytext=(-5, -3), arrowprops={\"facecolor\": \"black\", \"shrink\": 0.05})\n",
        "ax.grid(True)\n",
        "ax.scatter(x, y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 508
        },
        "id": "4mJVhTbaRv4o",
        "outputId": "b452986b-f678-4954-c0b0-c6746096f80e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Időnként a mérési [hibákat](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.errorbar.html#matplotlib.axes.Axes.errorbar), az adatok bizonytalanságát is ki szeretnénk fejezni. Mind az x, mind az y tengely menti hiba mértéke jeölhető adatpontonként külön-külön. A görbe kirajzolását most az [errorbar()](https://matplotlib.org/3.5.0/api/_as_gen/matplotlib.pyplot.errorbar.html) metódusra bíztuk."
      ],
      "metadata": {
        "id": "bAXyR2cUUYgQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt, random\n",
        "N = 10\n",
        "x = [x for x in range(N)]\n",
        "y = [xi+random.gauss(0, 1) for xi in x]\n",
        "# Most a hibák mértékét is generáljuk\n",
        "ey = [abs(0.05*yi) for yi in y]\n",
        "fig, ax = plt.subplots()\n",
        "# Görbe rajzolása a mérési hibák, pontatlanságok feltüntetésével\n",
        "# yerr az y tengelyen jelölendő hibák mértéke, capsize a merőleges \n",
        "# (most vízszintes) záró vonal mérete\n",
        "ax.errorbar(x, y, yerr=ey, capsize=5);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "-G5I9pJUBBwM",
        "outputId": "ccf75220-eb22-49c2-f2b6-440a17a179f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A legegyszerűbb oszlopdiagramokat a [bar()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bar.html) metódussal lehet elkészíteni. "
      ],
      "metadata": {
        "id": "ktUcOO0xVziX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt, random\n",
        "fig, ax = plt.subplots()\n",
        "# Az x tengelyen ábrázolandó értékek\n",
        "osztalyzatok = (\"Elégtelen\", \"Elégséges\", \"Közepes\", \"Jó\", \"Kitűnő\")\n",
        "# Az egyes osztályzatok száma véletlenszerűen generált\n",
        "ax.bar(osztalyzatok, [random.randint(0, 100) for x in range(len(osztalyzatok))]);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 266
        },
        "id": "8GFDLmvET5ne",
        "outputId": "0fd3e1a9-a779-4c81-8885-e25f5128061b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A [hisztogram](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.hist.html) nem egyszerűen csak megjeleníti az adatokat, hanem bizonyos adatfeldolgozásra is fel van készítve (pl. hány adat esik egy adott intervallumba?). A példa ([eredeti változat](https://matplotlib.org/stable/gallery/statistics/histogram_features.html)) az emberek IQ pontszámainak eloszlását mutatja (véletlenszerűen generált adatok)."
      ],
      "metadata": {
        "id": "inWgM1m28cta"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import random\n",
        "\n",
        "mu = 100  # eloszlás átlaga\n",
        "sigma = 15  # eloszlás szórása\n",
        "x = [random.gauss(mu, sigma) for x in range(400)]\n",
        "bins = 10 # Az oszlopok (mérési adatok tartományainak) száma\n",
        "fig, ax = plt.subplots()\n",
        "ax.set_xlabel('Smarts')\n",
        "ax.set_ylabel('Probability density')\n",
        "ax.set_title(r'Histogram of IQ: $\\mu=' + str(mu) +'$, $\\sigma=' + str(sigma) +'$')\n",
        "# density=True esetén nem a nyers darabszámokat mutatják az oszlopok, hanem a \n",
        "# valószínűségi sűrűségfüggvény értékét, azaz a hisztogram területe 1.\n",
        "ax.hist(x, bins, density=True);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "BsLOwY8z4-x8",
        "outputId": "ee9ac6bc-0a9e-4f9c-a281-3950c44f9b11"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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2cGSjUUVExMDq5aqqmyW9FtiLariR5bafajyyiIgYSN2eOf62MRbtKQnblzUUU0REDLBufRyHl9dxVONVHV1enwd+v5eNSzpM0nJJI5IWdVg+Q9IlZfn1koZK+UxJ35L0mKR/aFvnmrLNW8prx15iiYiIiTFmi8P2ewAkfR3Y2/Z9ZX5nqkt0u5I0DTgLOBRYCdwoaUkZpn3UccBDtveQtIBquPajgCeATwD7lle7o20Pj797EREx0Xq5qmq30aRR/BR4YQ/rHQiM2L7L9pPAxcD8tjrzgQvK9KXAIZJk+3Hb11IlkIiIGCC9JI6rJF0p6d2S3g0sBb7Zw3q7APe0zK8sZR3rlOearwFm9rDt88ppqk9IUqcKko6XNCxpePXq1T1sMiIiejFu4rC9EPgc8PLyOsf2B5sOrIujbe8HvKa83tWpku1zbM+1PXf27NmTGmBExKasl/s4sL0YWFxz26uA3Vrmdy1lneqslDQd2A54cJxYVpW/j0r6EtUpsQtrxhYRERuol1NVG+pGYI6k3SVtDiygupGw1RLg2DJ9JHC1bY+1QUnTJc0q05sBbwZun/DIIyJiTD21ODZEGdNqIdUAidOAL9heJulkYNj2EqrLfC+SNAL8jCq5ACBpBbAtsLmkI4A3AHcDV5akMY2qr+Ufm9qHiIhY37iJQ9LhwFLbv6i7cduXA5e3lZ3UMv0E8I4x1h0aY7MH1I0jIiImTi+nqo4CfijpbyT9StMBRUTEYOvlqqrfA34VuBM4X9J/lUtdt2k8uoiIGDg9dY7bfoTqBr2LgZ2BtwI3S+rnZbkREdEHvTw6dr6kxcA1wGbAgbbnUd3T8afNhhcREYOml6uq3gacbvs/Wgtt/zzPHo+ImHp6OVX1k/akIek0ANtXNRJVREQMrF4Sx6EdyuZNdCAREbFx6PYgp/cB76d6ZOytLYu2Aa5rOrCIiBhM3fo4vgRcAXwKaH0I06O2f9ZoVBERMbC6JQ7bXiHpA+0LJD0/ySMiYmoar8XxZuAmwEDrcy8MvLjBuCIiYkB1e3Tsm8vf3ScvnIiIGHTdOsf377ai7ZsnPpyIiBh03U5VfabLMgMHT3AsERGxEeh2qur1kxlIRERsHLqdqjrY9tWS3tZpue3LmgsrIiIGVbdTVa8FrgYO77DMQBJHRMQU1O1U1V+Uv++ZvHAiImLQ9fLo2JnAXwCvpmppXAucbPvBhmOLPhlatLTfIUTEAOtlkMOLgdXA24Ejy/QlTQYVERGDq5fncexs+69b5k+RdFRTAUVExGDrpcXxdUkLJP1Sef0OcGXTgUVExGDqdjnuozwzRtUfAf9UFv0S8BjwZ41HFxERA6fbVVXbTGYgERGxceiljwNJOwBzgC1Gy9ofJxsREVNDL5fj/i/gQ8CuwC3AQcB/kbGqIiKmpF46xz8EvBK4u4xf9avAw41GFRERA6uXxPGE7ScAJM2w/X1gr2bDioiIQdVLH8dKSdsDXwW+Iekh4O5mw4qIiEE1buKw/dYy+ZeSvgVsB3yt0agiImJg9XKqCkn7SzoBeBmw0vaTPa53mKTlkkYkLeqwfIakS8ry6yUNlfKZkr4l6TFJ/9C2zgGSbivrnCFJ7duNiIjmjJs4JJ0EXADMBGYB50n6eA/rTQPOAuYBewPvlLR3W7XjgIds7wGcDpxWyp8APkHnmww/C7yX6vLgOcBh48USERETp5cWx9HAK23/RRlq/SDgXT2sdyAwYvuu0kK5GJjfVmc+VVICuBQ4RJJsP277WqoE8j8k7Qxsa/vbtg1cCBzRQywRETFBekkc99Jy4x8wA1jVw3q7APe0zK8sZR3r2F4HrKFq2XTb5spxtgmApOMlDUsaXr16dQ/hRkREL7qNVXUm1VhVa4Blkr5R5g8Fbpic8Dac7XOAcwDmzp3rPocTEbHJ6HZV1XD5exOwuKX8mh63vQrYrWV+V9ZvqYzWWSlpOtUVW90eELWqbKfbNiMiokHdBjkc7XtA0ubAnmV2ue2netj2jcAcSbtTfbkvAH63rc4S4FiqIUyOBK4ufRdjxXSfpEckHQRcDxwDnNlDLBERMUF6GavqdVQd2CuohljfTdKx4w1yaHudpIVUz+6YBnzB9jJJJwPDtpcA5wIXSRoBfkaVXEbfdwWwLbC5pCOAN9i+A3g/cD6wJXBFeUVExCTp5c7xz1B9aS8HkLQn8GXggPFWtH05cHlb2Ukt008A7xhj3aExyoeBfXuIOyIiGtBL4thsNGkA2P6BpM0ajCkiNmFDi5b25X1XnPqmvrzvpqiXxHGTpM/zzBMAj+aZjvOIiJhiekkcfwh8ADihzP8ncHZjEUVExEDrmjjKsCHftf0rwN9NTkgRETHIut45bvtpYLmkF05SPBERMeB6OVW1A9Wd4zcAj48W2n5LY1FFRMTA6iVxfKLxKCIiYqPRbayqLag6xvcAbgPOLQMRRkTEFNatj+MCYC5V0phHdSNgRERMcd1OVe1tez8ASeeyEYyIGxERzevW4vifgQxziioiIkZ1a3G8XNIjZVrAlmVegG1v23h0ERExcLoNqz5tMgOJiIiNQy+Pjo2IiPgfSRwREVFLEkdERNSSxBEREbUkcURERC1JHBERUUsSR0RE1JLEERERtSRxRERELUkcERFRSxJHRETUksQRERG1JHFEREQtSRwREVFLEkdERNTS7UFO0UdDi5b2O4SIiI7S4oiIiFqSOCIiopZGE4ekwyQtlzQiaVGH5TMkXVKWXy9pqGXZiaV8uaQ3tpSvkHSbpFskDTcZf0RErK+xPg5J04CzgEOBlcCNkpbYvqOl2nHAQ7b3kLQAOA04StLewAJgH+AFwDcl7Wn76bLe620/0FTsERExtiZbHAcCI7bvsv0kcDEwv63OfOCCMn0pcIgklfKLba+1/SNgpGwvIiL6rMnEsQtwT8v8ylLWsY7tdcAaYOY46xr4uqSbJB0/1ptLOl7SsKTh1atXP6cdiYiIZ2yMneOvtr0/MA/4gKTf7FTJ9jm259qeO3v27MmNMCJiE9Zk4lgF7NYyv2sp61hH0nRgO+DBbuvaHv17P7CYnMKKiJhUTSaOG4E5knaXtDlVZ/eStjpLgGPL9JHA1bZdyheUq652B+YAN0jaStI2AJK2At4A3N7gPkRERJvGrqqyvU7SQuBKYBrwBdvLJJ0MDNteApwLXCRpBPgZVXKh1PsKcAewDviA7acl7QQsrvrPmQ58yfbXmtqHiIhYX6NDjti+HLi8reyklukngHeMse4ngU+2ld0FvHziI42IiF5tjJ3jERHRR0kcERFRSxJHRETUksQRERG1JHFEREQtSRwREVFLEkdERNSSxBEREbUkcURERC1JHBERUUsSR0RE1NLoWFUREYNiaNHSvr33ilPf1Lf3bkJaHBERUUsSR0RE1JLEERERtSRxRERELUkcERFRSxJHRETUksQRERG1JHFEREQtSRwREVFLEkdERNSSIUfG0c9hCiIiBlFaHBERUUsSR0RE1JLEERERtSRxRERELUkcERFRSxJHRETUksQRERG1JHFEREQtjd4AKOkw4O+BacDnbZ/atnwGcCFwAPAgcJTtFWXZicBxwNPACbav7GWbERGDpl83Ejf1rPPGWhySpgFnAfOAvYF3Stq7rdpxwEO29wBOB04r6+4NLAD2AQ4DzpY0rcdtRkREg5o8VXUgMGL7LttPAhcD89vqzAcuKNOXAodIUim/2PZa2z8CRsr2etlmREQ0qMlTVbsA97TMrwR+baw6ttdJWgPMLOXfblt3lzI93jYBkHQ8cHyZfUzS8g3Yh1azgAee4zY2VTk2Y8ux6SzHZWwTdmx02nPexIs6FW6ygxzaPgc4Z6K2J2nY9tyJ2t6mJMdmbDk2neW4jG1jODZNnqpaBezWMr9rKetYR9J0YDuqTvKx1u1lmxER0aAmE8eNwBxJu0vanKqze0lbnSXAsWX6SOBq2y7lCyTNkLQ7MAe4ocdtRkREgxo7VVX6LBYCV1JdOvsF28sknQwM214CnAtcJGkE+BlVIqDU+wpwB7AO+IDtpwE6bbOpfWgzYae9NkE5NmPLseksx2VsA39sVP3Aj4iI6E3uHI+IiFqSOCIiopYkjjFI2l7SpZK+L+l7kn5d0vMlfUPSD8vfHfod52ST9MeSlkm6XdKXJW1RLla4XtKIpEvKhQubPElfkHS/pNtbyjp+RlQ5oxyjWyXt37/ImzfGsfl0+f90q6TFkrZvWXZiOTbLJb2xP1FPjk7HpmXZn0qypFllfiA/N0kcY/t74Gu2fwV4OfA9YBFwle05wFVlfsqQtAtwAjDX9r5UFygsoBoq5vQydMxDVEPJTAXnUw2J02qsz8g8qqsD51DdmPrZSYqxX85n/WPzDWBf2y8DfgCcCGMPMTR5oU6681n/2CBpN+ANwI9bigfyc5PE0YGk7YDfpLrqC9tP2n6YZw+RcgFwRH8i7KvpwJblvpvnAfcBB1MNGQNT6LjY/g+qqwFbjfUZmQ9c6Mq3ge0l7Tw5kU6+TsfG9tdtryuz36a6DwvGHmJokzTG5waq8fo+DLResTSQn5skjs52B1YD50n6jqTPS9oK2Mn2faXOT4Cd+hZhH9heBfwt1S+i+4A1wE3Awy1fCK3Dw0xFY31GOg3BM5WP0+8DV5TpKX9sJM0HVtn+btuigTw2SRydTQf2Bz5r+1eBx2k7LVVuVJxS1zKX8/XzqRLrC4Ct6NDkjspU/Iz0QtLHqO7P+mK/YxkEkp4HfBQ4qd+x9CqJo7OVwErb15f5S6kSyU9Hm4nl7/19iq9ffgv4ke3Vtp8CLgNeRdV8Hr2ZdKoPAzPWZyTD5QCS3g28GTjaz9xENtWPzUuofox9V9IKqv2/WdIvM6DHJomjA9s/Ae6RtFcpOoTqLvbWIVKOBf61D+H104+BgyQ9rwx/P3pcvkU1ZAxMzePSaqzPyBLgmHKVzEHAmpZTWlNCeQjbh4G32P55y6KxhhiaEmzfZntH20O2h6h+uO5fvocG83NjO68OL+AVwDBwK/BVYAeqId+vAn4IfBN4fr/j7MNx+Svg+8DtwEXADODFVP/RR4B/Bmb0O85JOhZfpurreYrqP/txY31GAFE9hOxO4DaqK9P6vg+TfGxGqM7X31Jen2up/7FybJYD8/od/2Qfm7blK4BZg/y5yZAjERFRS05VRURELUkcERFRSxJHRETUksQRERG1JHFEREQtSRwRz4Gkj5XRgm+VdIukX2vgPT460duMeC5yOW7EBpL068DfAa+zvbYMhb257XsnaPuiuo7/EdtbT8Q2IyZCWhwRG25n4AHbawFsP2D7XkkrJH2qtECGJe0v6UpJd0r6QwBJW0u6StLNkm4rg9whaag8k+JCqpssz6UajfgWSV+UtJWkpZK+W56JclS/dj6mrrQ4IjaQpK2Ba6mGl/8mcInt/1vGGzrN9mclnU41NMurgC2A223vNDosve1HSkvl21RDbbwIuAv4DVfDaCPpsdEWh6S3A4fZfm+Z3872mknc7Yi0OCI2lO3HgAOoHrCzGrikDOIH1RhDUA0Tcb3tR22vBtaWJ98J+N+SbqVKOrvwzBDsd48mjQ5uAw6VdJqk1yRpRD9MH79KRIzF9tPANcA1km7jmQEO15a/v2iZHp2fDhwNzAYOsP1UaaVsUeo83uX9flAeH/rbwCmSrrJ98gTtTkRP0uKI2ECS9pI0p6XoFcDdPa6+HXB/SRqvpzpFNZanJG1W3vMFwM9t/xPwaarh/iMmVVocERtua+DMcuppHdXor8dTPW9iPF8E/q20UoapRhweyznArZJuBi4EPi3pF1Sjq77vOcQfsUHSOR4REbXkVFVERNSSxBEREbUkcURERC1JHBERUUsSR0RE1JLEERERtSRxRERELf8fl/86gTYdglAAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ha azt szeretnénk megmutatni, hogy valamin az egyes összetevők milyen arányban osztoznak, akkor gyakran [tortadiagramot](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.pie.html) alkalmazunk. Lehetőség van néhány összetevő kiemelésére a többi közül (*explode*), árnyékok rajzolására (*shadow*) és az egyes cikkekre rá lehet írni a hozzájuk tartozó értéket nekünk tetsző formázással (*autopct*)."
      ],
      "metadata": {
        "id": "nF43oNFdYXpK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt, random\n",
        "\n",
        "# Az ábrázolandó összetevők, a piaci szereplők\n",
        "cimkek = [\"BMW\", \"Renault\", \"Mazda\", \"Jaguar\", \"Tata\", \"Kia\"]\n",
        "# Az összetevők értékei, itt a piaci részesedés\n",
        "x = [random.randint(1, 100) for x in range(len(cimkek))]\n",
        "# A piacvezetőt megkeressük, őt fogjuk kiemelni a többiek közül\n",
        "kiemelt = x.index(max(x))\n",
        "kiemeles = [0.1 if x==kiemelt else 0 for x in range(len(x))]\n",
        "fig, ax = plt.subplots(figsize=(12, 8))\n",
        "ax.set_title(\"Piaci részesedés\")\n",
        "ax.pie(x, labels=cimkek, explode=kiemeles, shadow=True, autopct='%1.1f%%');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "id": "Wd-0Euwf9UqQ",
        "outputId": "eb525b4a-8620-46da-e887-680a154069c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Kétváltozós függvények értékét síkon megjeleníteni nem könnyű, de egy [hőtérkép](https://matplotlib.org/stable/gallery/images_contours_and_fields/image_annotated_heatmap.html) (amin a függvény értéke egy ábra valamely területének, vagy egyetlen pontjának színével adott) segíthet. Az alkalmazott színek jelentését egy [sávról](https://matplotlib.org/stable/api/colorbar_api.html) lehet leolvasni.\n",
        "\n",
        "A [Rastrigin](https://en.wikipedia.org/wiki/Rastrigin_function) függvény gyakran alkalmazott tesztfüggvény optimalizációs algoritmusok működésének ellenőrzésére, mérésére. Folytonos függvény, ami tetszőleges számú független változóra általánosítható, mi itt a kétváltozós változatát fogjuk használni. Globális minimumát a független változók 0 értékénél fogja felvenni."
      ],
      "metadata": {
        "id": "7_SqyBFOZzIG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt, math\n",
        "\n",
        "# n-változós Rastrigin fv.\n",
        "def rastrigin(*x):\n",
        "  A = 10\n",
        "  n = len(x)\n",
        "  sum = A*2\n",
        "  for xi in x:\n",
        "    sum += xi**2-A*math.cos(2*math.pi*xi)\n",
        "  return sum\n",
        "\n",
        "PRECISION = 100\n",
        "RANGE = 5.12\n",
        "adatok = [[rastrigin(RANGE-2*RANGE*x/(PRECISION-1), RANGE-2*RANGE*y/(PRECISION-1)) for y in range(PRECISION)] for x in range(PRECISION)]\n",
        "fig, ax = plt.subplots(figsize=(10, 10))\n",
        "# A tengelyek mentén a mátrix formában adott adatok indexei jelennének meg, ezt\n",
        "# lecseréljük az extent paraméter segítségével. Most a két független változó\n",
        "# értékeit mutatja a diagram.\n",
        "pos = ax.imshow(adatok, extent=[-RANGE, RANGE, -RANGE, RANGE])\n",
        "# A színsáv méretét lehet csökkenteni a shrink paraméterrel.\n",
        "fig.colorbar(pos, ax=ax, shrink=0.75);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 494
        },
        "id": "QoTTKmouGAzp",
        "outputId": "571398df-8ee6-40ac-e6bf-7551a394348e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ],
            "image/png": 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\n"
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          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}