{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Practice for classes and abstracion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import random\n",
    "class Allat:\n",
    "    def __init__(self,name,food):\n",
    "        self.name = name\n",
    "        self.food = food\n",
    "    def __repr__(self):\n",
    "        return f\"Név: {self.name}, étel(ek): {self.food}\"\n",
    "    def __str__(self):\n",
    "        return f\"Név: {self.name}, étel(ek): {self.food}\"\n",
    "    def __add__(self,food):\n",
    "        self.food.add(food)\n",
    "class Kedvenc(Allat):\n",
    "    def __init__(self,name,food,nickname,actions):\n",
    "        super().__init__(name,food)\n",
    "        self.nickname = nickname\n",
    "        self.actions = actions\n",
    "    def __repr__(self):\n",
    "        return f\"Név: {self.name}, étel(ek): {self.food}, becenév: {self.nickname}, tevékenységek: {self.actions}\"\n",
    "    def __str__(self):\n",
    "        return f\"Név: {self.name}, étel(ek): {self.food}, becenév: {self.nickname}, tevékenységek: {self.actions}\"\n",
    "    def mit_csinal(self):\n",
    "        return random.choice(self.actions)\n",
    "    def __add__(self,action):\n",
    "        self.actions.append(action)\n",
    "\n",
    "medve = Allat('medve', {'méz', 'málna'})\n",
    "medve + 'macisajt'\n",
    "print(medve)\n",
    "masikmaci = Kedvenc('medve', {'méz', 'málna'}, 'Brumi', ['mézet lejmol', 'brummog', 'téli álmot alszik'])\n",
    "print(masikmaci)\n",
    "print(f\"Tevékenység: {masikmaci.mit_csinal()}\")\n",
    "masikmaci + 'eszik'\n",
    "print(masikmaci)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Practice for pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "names = ['fordulo','hazai csapat','vendegcsapat', 'hazai csapat goljainak szama', 'vendegcsapat goljainak szama']\n",
    "\n",
    "df = pd.read_csv('pl.txt', skiprows=6, sep='\\t', names=names)\n",
    "\n",
    "#print(df.groupby('fordulo')['fordulo'].count())\n",
    "\n",
    "df['goals'] = df['hazai csapat goljainak szama'] + df['vendegcsapat goljainak szama']\n",
    "\n",
    "print(df)\n",
    "\n",
    "max_goals = df.loc[df.groupby('fordulo')['goals'].sum().idxmax()]\n",
    "\n",
    "#print(max_goals)\n",
    "\n",
    "avg_goals = df.groupby('fordulo')['goals'].mean()\n",
    "#print(avg_goals)\n",
    "\n",
    "max_goals_merkozes = df.loc[df['goals'].idxmax()]\n",
    "\n",
    "#print(max_goals_merkozes)\n",
    "\n",
    "manchester_goals = df.groupby('hazai csapat')['hazai csapat goljainak szama'].sum()['Manchester United'] + df.groupby('vendegcsapat')['vendegcsapat goljainak szama'].sum()['Manchester United']\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}