I had a mental breakdown

09_gyak.ipynb

@@ -43,6 +43,112 @@
     "\n",
     "print([list(map(sum,i)) for i in lines])"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "A leghosszab szó: 'gépidőelszámolást', ami 17 karakterből áll\n"
+     ]
+    }
+   ],
+   "source": [
+    "lines = []\n",
+    "with open(\"igazi.txt\") as f:\n",
+    "    lines.extend(f.readlines())\n",
+    "lines = list(set([i.strip() for i in lines]))\n",
+    "lenoflines = [len(i) for i in lines]\n",
+    "\n",
+    "\n",
+    "print(f\"A leghosszab szó: '{lines[lenoflines.index(max(lenoflines))]}', ami {max(lenoflines)} karakterből áll\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "65 90\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(ord('A'), ord('Z'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Blackburn Rovers          45\n",
+      "Wolverhampton Wanderers   38\n",
+      "Fulham FC                 55\n",
+      "Aston Villa               39\n",
+      "Liverpool FC              43\n",
+      "Sunderland AFC            45\n",
+      "Queens Park Rangers       43\n",
+      "Bolton Wanderers          42\n",
+      "Wigan Athletic            41\n",
+      "Norwich City              47\n",
+      "Newcastle United          48\n",
+      "Arsenal FC                58\n",
+      "Stoke City                44\n",
+      "Chelsea FC                60\n",
+      "West Bromwich Albion      40\n",
+      "Manchester United         71\n",
+      "Manchester City           74\n",
+      "Swansea City              46\n",
+      "Tottenham Hotspur         58\n",
+      "Everton FC                47\n"
+     ]
+    }
+   ],
+   "source": [
+    "class matches:\n",
+    "    def __init__(self):\n",
+    "        pass\n",
+    "\n",
+    "A = []\n",
+    "with open(\"pl.txt\") as f:\n",
+    "    for _ in range(6):\n",
+    "        next(f)\n",
+    "    for i in f.readlines():\n",
+    "        match = matches()\n",
+    "        line = i.strip().split('\\t')\n",
+    "        match.ford = line[0]\n",
+    "        match.hteam = line[1]\n",
+    "        match.vteam = line[2]\n",
+    "        match.hgoal = int(line[3])\n",
+    "        match.vgoal = int(line[4])\n",
+    "        A.append(match)\n",
+    "\n",
+    "teams = {}\n",
+    "for i in A:\n",
+    "    if i.hteam in teams.keys():\n",
+    "        teams[i.hteam] += i.hgoal\n",
+    "    else:\n",
+    "        teams.update({i.hteam : i.hgoal})\n",
+    "    if i.vteam in teams.keys():\n",
+    "        teams[i.vteam] += 1  \n",
+    "    else:\n",
+    "        teams.update({i.vteam : 1})\n",
+    "\n",
+    "print(\"\\n\".join(f\"{i.ljust(25)} {j}\" for i, j in teams.items()))"
+   ]
   }
  ],
  "metadata": {

13_gyak.ipynb

@@ -33,15 +33,71 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
-   "source": []
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>fordulo</th>\n",
+       "      <th>sum</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5</td>\n",
+       "      <td>38</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   fordulo  sum\n",
+       "0        5   38"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv(\"pl.txt\", skiprows=6, sep=\"\\t\", names=[\"fordulo\", \"hcsapat\", \"vcsapat\", \"hgol\", \"vgol\"])\n",
+    "\n",
+    "df.groupby(\"fordulo\").count()[\"hcsapat\"]\n",
+    "\n",
+    "goals_round = df.groupby(\"fordulo\")[[\"hgol\", \"vgol\"]].sum().sort_values(\"hgol\", ascending=False)[:1]\n",
+    "goals_round[\"sum\"] = goals_round[\"hgol\"] + goals_round[\"vgol\"]\n",
+    "\n",
+    "goals_round.reset_index()[[\"fordulo\", \"sum\"]]"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -55,7 +111,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,