1002 lines
102 KiB
Plaintext
1002 lines
102 KiB
Plaintext
|
{
|
|||
|
|
"cells": [
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Instalacja pakietów i przygotowanie datasetu"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 207,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Requirement already satisfied: kaggle in c:\\programdata\\anaconda3\\lib\\site-packages (1.5.12)\n",
|
|||
|
|
"Requirement already satisfied: six>=1.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (1.15.0)\n",
|
|||
|
|
"Requirement already satisfied: requests in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2.24.0)\n",
|
|||
|
|
"Requirement already satisfied: python-slugify in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (4.0.1)\n",
|
|||
|
|
"Requirement already satisfied: urllib3 in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (1.25.11)\n",
|
|||
|
|
"Requirement already satisfied: python-dateutil in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2.8.1)\n",
|
|||
|
|
"Requirement already satisfied: tqdm in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (4.50.2)\n",
|
|||
|
|
"Requirement already satisfied: certifi in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2020.6.20)\n",
|
|||
|
|
"Requirement already satisfied: chardet<4,>=3.0.2 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests->kaggle) (3.0.4)\n",
|
|||
|
|
"Requirement already satisfied: idna<3,>=2.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests->kaggle) (2.10)\n",
|
|||
|
|
"Requirement already satisfied: text-unidecode>=1.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-slugify->kaggle) (1.3)\n",
|
|||
|
|
"Requirement already satisfied: pandas in c:\\programdata\\anaconda3\\lib\\site-packages (1.1.3)\n",
|
|||
|
|
"Requirement already satisfied: python-dateutil>=2.7.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2.8.1)\n",
|
|||
|
|
"Requirement already satisfied: pytz>=2017.2 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2020.1)\n",
|
|||
|
|
"Requirement already satisfied: numpy>=1.15.4 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (1.19.2)\n",
|
|||
|
|
"Requirement already satisfied: six>=1.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)\n",
|
|||
|
|
"Requirement already satisfied: numpy in c:\\programdata\\anaconda3\\lib\\site-packages (1.19.2)\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"!pip install kaggle\n",
|
|||
|
|
"!pip install pandas\n",
|
|||
|
|
"!pip install numpy"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 208,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Downloading fifa19.zip to C:\\Users\\Ania\\Desktop\\AITECH\\[IUM] Inżynieria uczenia maszynowego\\ium_434760\n",
|
|||
|
|
"\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stderr",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"\n",
|
|||
|
|
" 0%| | 0.00/2.18M [00:00<?, ?B/s]\n",
|
|||
|
|
" 46%|####5 | 1.00M/2.18M [00:00<00:00, 4.74MB/s]\n",
|
|||
|
|
" 92%|#########1| 2.00M/2.18M [00:00<00:00, 5.31MB/s]\n",
|
|||
|
|
"100%|##########| 2.18M/2.18M [00:00<00:00, 5.93MB/s]\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"!kaggle datasets download -d karangadiya/fifa19"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 209,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"import zipfile\n",
|
|||
|
|
"\n",
|
|||
|
|
"with zipfile.ZipFile('fifa19.zip', 'r') as zip_ref:\n",
|
|||
|
|
" zip_ref.extractall('.')"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Normalizacja i usuwanie artefaktów"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 210,
|
|||
|
|
"metadata": {
|
|||
|
|
"scrolled": true
|
|||
|
|
},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"#Usuwanie artefaktów\n",
|
|||
|
|
"df=pd.read_csv('data.csv')\n",
|
|||
|
|
"df = df[df[\"Release Clause\"].notna()]\n",
|
|||
|
|
"df = df[df[\"Release Clause\"].notnull()]\n",
|
|||
|
|
"df.to_csv('data.csv')"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 211,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"#Normalizacja\n",
|
|||
|
|
"df=pd.read_csv('data.csv')\n",
|
|||
|
|
"if df[\"Overall\"].mean() > 1:\n",
|
|||
|
|
" df[\"Overall\"]= df[\"Overall\"]/100 \n",
|
|||
|
|
"df[\"Release Clause\"] = df[\"Release Clause\"].str.replace(\"€\", \"\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"df[\"Release Clause\"] = (df[\"Release Clause\"].replace(r'[KM]+$', '', regex=True).astype(float) * \n",
|
|||
|
|
" df[\"Release Clause\"].str.extract(r'[\\d\\.]+([KM]+)', expand=False)\n",
|
|||
|
|
" .replace(['K','M'], [1000, 1000000]).astype(int))\n",
|
|||
|
|
"df.to_csv('data.csv')"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Podział na train/dev/test"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 212,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"from sklearn.model_selection import train_test_split\n",
|
|||
|
|
"\n",
|
|||
|
|
"df=pd.read_csv('data.csv')\n",
|
|||
|
|
"train, dev = train_test_split(df, train_size=0.6, test_size=0.4, shuffle=True)\n",
|
|||
|
|
"dev, test = train_test_split(dev, train_size=0.5, test_size=0.5, shuffle=False)\n",
|
|||
|
|
"\n",
|
|||
|
|
"test.to_csv('test.csv') \n",
|
|||
|
|
"dev.to_csv('dev.csv') \n",
|
|||
|
|
"train.to_csv('train.csv')"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Odczyt danych"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 213,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Test dataset length: 3329\n",
|
|||
|
|
"Dev dataset length: 3329\n",
|
|||
|
|
"Train dataset length: 9985\n",
|
|||
|
|
"Whole dataset length: 16643\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"\n",
|
|||
|
|
"data = pd.read_csv('data.csv')\n",
|
|||
|
|
"train = pd.read_csv('train.csv')\n",
|
|||
|
|
"test = pd.read_csv('test.csv')\n",
|
|||
|
|
"dev = pd.read_csv('dev.csv')\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(f\"Test dataset length: {len(test)}\")\n",
|
|||
|
|
"print(f\"Dev dataset length: {len(dev)}\")\n",
|
|||
|
|
"print(f\"Train dataset length: {len(train)}\")\n",
|
|||
|
|
"print(f\"Whole dataset length: {len(data)}\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 214,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"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>Unnamed: 0</th>\n",
|
|||
|
|
" <th>Unnamed: 0.1</th>\n",
|
|||
|
|
" <th>Unnamed: 0.1.1</th>\n",
|
|||
|
|
" <th>ID</th>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Age</th>\n",
|
|||
|
|
" <th>Photo</th>\n",
|
|||
|
|
" <th>Nationality</th>\n",
|
|||
|
|
" <th>Flag</th>\n",
|
|||
|
|
" <th>Overall</th>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <th>Composure</th>\n",
|
|||
|
|
" <th>Marking</th>\n",
|
|||
|
|
" <th>StandingTackle</th>\n",
|
|||
|
|
" <th>SlidingTackle</th>\n",
|
|||
|
|
" <th>GKDiving</th>\n",
|
|||
|
|
" <th>GKHandling</th>\n",
|
|||
|
|
" <th>GKKicking</th>\n",
|
|||
|
|
" <th>GKPositioning</th>\n",
|
|||
|
|
" <th>GKReflexes</th>\n",
|
|||
|
|
" <th>Release Clause</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>158023</td>\n",
|
|||
|
|
" <td>L. Messi</td>\n",
|
|||
|
|
" <td>31</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/158023.png</td>\n",
|
|||
|
|
" <td>Argentina</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/52.png</td>\n",
|
|||
|
|
" <td>0.94</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>96.0</td>\n",
|
|||
|
|
" <td>33.0</td>\n",
|
|||
|
|
" <td>28.0</td>\n",
|
|||
|
|
" <td>26.0</td>\n",
|
|||
|
|
" <td>6.0</td>\n",
|
|||
|
|
" <td>11.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>14.0</td>\n",
|
|||
|
|
" <td>8.0</td>\n",
|
|||
|
|
" <td>226500000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>20801</td>\n",
|
|||
|
|
" <td>Cristiano Ronaldo</td>\n",
|
|||
|
|
" <td>33</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/20801.png</td>\n",
|
|||
|
|
" <td>Portugal</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/38.png</td>\n",
|
|||
|
|
" <td>0.94</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>95.0</td>\n",
|
|||
|
|
" <td>28.0</td>\n",
|
|||
|
|
" <td>31.0</td>\n",
|
|||
|
|
" <td>23.0</td>\n",
|
|||
|
|
" <td>7.0</td>\n",
|
|||
|
|
" <td>11.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>14.0</td>\n",
|
|||
|
|
" <td>11.0</td>\n",
|
|||
|
|
" <td>127100000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>190871</td>\n",
|
|||
|
|
" <td>Neymar Jr</td>\n",
|
|||
|
|
" <td>26</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/190871.png</td>\n",
|
|||
|
|
" <td>Brazil</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/54.png</td>\n",
|
|||
|
|
" <td>0.92</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>94.0</td>\n",
|
|||
|
|
" <td>27.0</td>\n",
|
|||
|
|
" <td>24.0</td>\n",
|
|||
|
|
" <td>33.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>11.0</td>\n",
|
|||
|
|
" <td>228100000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" <td>193080</td>\n",
|
|||
|
|
" <td>De Gea</td>\n",
|
|||
|
|
" <td>27</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/193080.png</td>\n",
|
|||
|
|
" <td>Spain</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/45.png</td>\n",
|
|||
|
|
" <td>0.91</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>68.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>21.0</td>\n",
|
|||
|
|
" <td>13.0</td>\n",
|
|||
|
|
" <td>90.0</td>\n",
|
|||
|
|
" <td>85.0</td>\n",
|
|||
|
|
" <td>87.0</td>\n",
|
|||
|
|
" <td>88.0</td>\n",
|
|||
|
|
" <td>94.0</td>\n",
|
|||
|
|
" <td>138600000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>192985</td>\n",
|
|||
|
|
" <td>K. De Bruyne</td>\n",
|
|||
|
|
" <td>27</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/192985.png</td>\n",
|
|||
|
|
" <td>Belgium</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/7.png</td>\n",
|
|||
|
|
" <td>0.91</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>88.0</td>\n",
|
|||
|
|
" <td>68.0</td>\n",
|
|||
|
|
" <td>58.0</td>\n",
|
|||
|
|
" <td>51.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>13.0</td>\n",
|
|||
|
|
" <td>5.0</td>\n",
|
|||
|
|
" <td>10.0</td>\n",
|
|||
|
|
" <td>13.0</td>\n",
|
|||
|
|
" <td>196400000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>16638</th>\n",
|
|||
|
|
" <td>16638</td>\n",
|
|||
|
|
" <td>18202</td>\n",
|
|||
|
|
" <td>18202</td>\n",
|
|||
|
|
" <td>238813</td>\n",
|
|||
|
|
" <td>J. Lundstram</td>\n",
|
|||
|
|
" <td>19</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/238813.png</td>\n",
|
|||
|
|
" <td>England</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/14.png</td>\n",
|
|||
|
|
" <td>0.47</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>45.0</td>\n",
|
|||
|
|
" <td>40.0</td>\n",
|
|||
|
|
" <td>48.0</td>\n",
|
|||
|
|
" <td>47.0</td>\n",
|
|||
|
|
" <td>10.0</td>\n",
|
|||
|
|
" <td>13.0</td>\n",
|
|||
|
|
" <td>7.0</td>\n",
|
|||
|
|
" <td>8.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>143000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>16639</th>\n",
|
|||
|
|
" <td>16639</td>\n",
|
|||
|
|
" <td>18203</td>\n",
|
|||
|
|
" <td>18203</td>\n",
|
|||
|
|
" <td>243165</td>\n",
|
|||
|
|
" <td>N. Christoffersson</td>\n",
|
|||
|
|
" <td>19</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/243165.png</td>\n",
|
|||
|
|
" <td>Sweden</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/46.png</td>\n",
|
|||
|
|
" <td>0.47</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>42.0</td>\n",
|
|||
|
|
" <td>22.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>19.0</td>\n",
|
|||
|
|
" <td>10.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>5.0</td>\n",
|
|||
|
|
" <td>12.0</td>\n",
|
|||
|
|
" <td>113000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>16640</th>\n",
|
|||
|
|
" <td>16640</td>\n",
|
|||
|
|
" <td>18204</td>\n",
|
|||
|
|
" <td>18204</td>\n",
|
|||
|
|
" <td>241638</td>\n",
|
|||
|
|
" <td>B. Worman</td>\n",
|
|||
|
|
" <td>16</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/241638.png</td>\n",
|
|||
|
|
" <td>England</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/14.png</td>\n",
|
|||
|
|
" <td>0.47</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>41.0</td>\n",
|
|||
|
|
" <td>32.0</td>\n",
|
|||
|
|
" <td>13.0</td>\n",
|
|||
|
|
" <td>11.0</td>\n",
|
|||
|
|
" <td>6.0</td>\n",
|
|||
|
|
" <td>5.0</td>\n",
|
|||
|
|
" <td>10.0</td>\n",
|
|||
|
|
" <td>6.0</td>\n",
|
|||
|
|
" <td>13.0</td>\n",
|
|||
|
|
" <td>165000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>16641</th>\n",
|
|||
|
|
" <td>16641</td>\n",
|
|||
|
|
" <td>18205</td>\n",
|
|||
|
|
" <td>18205</td>\n",
|
|||
|
|
" <td>246268</td>\n",
|
|||
|
|
" <td>D. Walker-Rice</td>\n",
|
|||
|
|
" <td>17</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/246268.png</td>\n",
|
|||
|
|
" <td>England</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/14.png</td>\n",
|
|||
|
|
" <td>0.47</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>46.0</td>\n",
|
|||
|
|
" <td>20.0</td>\n",
|
|||
|
|
" <td>25.0</td>\n",
|
|||
|
|
" <td>27.0</td>\n",
|
|||
|
|
" <td>14.0</td>\n",
|
|||
|
|
" <td>6.0</td>\n",
|
|||
|
|
" <td>14.0</td>\n",
|
|||
|
|
" <td>8.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>143000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>16642</th>\n",
|
|||
|
|
" <td>16642</td>\n",
|
|||
|
|
" <td>18206</td>\n",
|
|||
|
|
" <td>18206</td>\n",
|
|||
|
|
" <td>246269</td>\n",
|
|||
|
|
" <td>G. Nugent</td>\n",
|
|||
|
|
" <td>16</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/players/4/19/246269.png</td>\n",
|
|||
|
|
" <td>England</td>\n",
|
|||
|
|
" <td>https://cdn.sofifa.org/flags/14.png</td>\n",
|
|||
|
|
" <td>0.46</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>43.0</td>\n",
|
|||
|
|
" <td>40.0</td>\n",
|
|||
|
|
" <td>43.0</td>\n",
|
|||
|
|
" <td>50.0</td>\n",
|
|||
|
|
" <td>10.0</td>\n",
|
|||
|
|
" <td>15.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>12.0</td>\n",
|
|||
|
|
" <td>9.0</td>\n",
|
|||
|
|
" <td>165000.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>16643 rows × 91 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Unnamed: 0 Unnamed: 0.1 Unnamed: 0.1.1 ID Name \\\n",
|
|||
|
|
"0 0 0 0 158023 L. Messi \n",
|
|||
|
|
"1 1 1 1 20801 Cristiano Ronaldo \n",
|
|||
|
|
"2 2 2 2 190871 Neymar Jr \n",
|
|||
|
|
"3 3 3 3 193080 De Gea \n",
|
|||
|
|
"4 4 4 4 192985 K. De Bruyne \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"16638 16638 18202 18202 238813 J. Lundstram \n",
|
|||
|
|
"16639 16639 18203 18203 243165 N. Christoffersson \n",
|
|||
|
|
"16640 16640 18204 18204 241638 B. Worman \n",
|
|||
|
|
"16641 16641 18205 18205 246268 D. Walker-Rice \n",
|
|||
|
|
"16642 16642 18206 18206 246269 G. Nugent \n",
|
|||
|
|
"\n",
|
|||
|
|
" Age Photo Nationality \\\n",
|
|||
|
|
"0 31 https://cdn.sofifa.org/players/4/19/158023.png Argentina \n",
|
|||
|
|
"1 33 https://cdn.sofifa.org/players/4/19/20801.png Portugal \n",
|
|||
|
|
"2 26 https://cdn.sofifa.org/players/4/19/190871.png Brazil \n",
|
|||
|
|
"3 27 https://cdn.sofifa.org/players/4/19/193080.png Spain \n",
|
|||
|
|
"4 27 https://cdn.sofifa.org/players/4/19/192985.png Belgium \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"16638 19 https://cdn.sofifa.org/players/4/19/238813.png England \n",
|
|||
|
|
"16639 19 https://cdn.sofifa.org/players/4/19/243165.png Sweden \n",
|
|||
|
|
"16640 16 https://cdn.sofifa.org/players/4/19/241638.png England \n",
|
|||
|
|
"16641 17 https://cdn.sofifa.org/players/4/19/246268.png England \n",
|
|||
|
|
"16642 16 https://cdn.sofifa.org/players/4/19/246269.png England \n",
|
|||
|
|
"\n",
|
|||
|
|
" Flag Overall ... Composure Marking \\\n",
|
|||
|
|
"0 https://cdn.sofifa.org/flags/52.png 0.94 ... 96.0 33.0 \n",
|
|||
|
|
"1 https://cdn.sofifa.org/flags/38.png 0.94 ... 95.0 28.0 \n",
|
|||
|
|
"2 https://cdn.sofifa.org/flags/54.png 0.92 ... 94.0 27.0 \n",
|
|||
|
|
"3 https://cdn.sofifa.org/flags/45.png 0.91 ... 68.0 15.0 \n",
|
|||
|
|
"4 https://cdn.sofifa.org/flags/7.png 0.91 ... 88.0 68.0 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"16638 https://cdn.sofifa.org/flags/14.png 0.47 ... 45.0 40.0 \n",
|
|||
|
|
"16639 https://cdn.sofifa.org/flags/46.png 0.47 ... 42.0 22.0 \n",
|
|||
|
|
"16640 https://cdn.sofifa.org/flags/14.png 0.47 ... 41.0 32.0 \n",
|
|||
|
|
"16641 https://cdn.sofifa.org/flags/14.png 0.47 ... 46.0 20.0 \n",
|
|||
|
|
"16642 https://cdn.sofifa.org/flags/14.png 0.46 ... 43.0 40.0 \n",
|
|||
|
|
"\n",
|
|||
|
|
" StandingTackle SlidingTackle GKDiving GKHandling GKKicking \\\n",
|
|||
|
|
"0 28.0 26.0 6.0 11.0 15.0 \n",
|
|||
|
|
"1 31.0 23.0 7.0 11.0 15.0 \n",
|
|||
|
|
"2 24.0 33.0 9.0 9.0 15.0 \n",
|
|||
|
|
"3 21.0 13.0 90.0 85.0 87.0 \n",
|
|||
|
|
"4 58.0 51.0 15.0 13.0 5.0 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"16638 48.0 47.0 10.0 13.0 7.0 \n",
|
|||
|
|
"16639 15.0 19.0 10.0 9.0 9.0 \n",
|
|||
|
|
"16640 13.0 11.0 6.0 5.0 10.0 \n",
|
|||
|
|
"16641 25.0 27.0 14.0 6.0 14.0 \n",
|
|||
|
|
"16642 43.0 50.0 10.0 15.0 9.0 \n",
|
|||
|
|
"\n",
|
|||
|
|
" GKPositioning GKReflexes Release Clause \n",
|
|||
|
|
"0 14.0 8.0 226500000.0 \n",
|
|||
|
|
"1 14.0 11.0 127100000.0 \n",
|
|||
|
|
"2 15.0 11.0 228100000.0 \n",
|
|||
|
|
"3 88.0 94.0 138600000.0 \n",
|
|||
|
|
"4 10.0 13.0 196400000.0 \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"16638 8.0 9.0 143000.0 \n",
|
|||
|
|
"16639 5.0 12.0 113000.0 \n",
|
|||
|
|
"16640 6.0 13.0 165000.0 \n",
|
|||
|
|
"16641 8.0 9.0 143000.0 \n",
|
|||
|
|
"16642 12.0 9.0 165000.0 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[16643 rows x 91 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 214,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"data"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Minimum, maksimum, średnia, mediana, odchylenie standardowe"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 217,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Overall zawodnika (0-1):\n",
|
|||
|
|
"Minimum: 0.46\n",
|
|||
|
|
"Maksimum: 0.94\n",
|
|||
|
|
"Średnia: 0.6616277113501784\n",
|
|||
|
|
"Mediana: 0.66\n",
|
|||
|
|
"Odchylenie standardowe: 0.07008236149926617\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"overall = data[\"Overall\"]\n",
|
|||
|
|
"print(\"Overall zawodnika (0-1):\")\n",
|
|||
|
|
"print(f\"Minimum: {overall.min()}\")\n",
|
|||
|
|
"print(f\"Maksimum: {overall.max()}\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(f\"Średnia: {overall.mean()}\")\n",
|
|||
|
|
"print(f\"Mediana: {overall.median()}\")\n",
|
|||
|
|
"print(f\"Odchylenie standardowe: {overall.std()}\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 218,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Wiek zawodnika:\n",
|
|||
|
|
"Minimum: 16\n",
|
|||
|
|
"Maksimum: 45\n",
|
|||
|
|
"Średnia: 25.226221234152497\n",
|
|||
|
|
"Mediana: 25.0\n",
|
|||
|
|
"Odchylenie standardowe: 4.71658785571582\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"age = data[\"Age\"]\n",
|
|||
|
|
"print(\"Wiek zawodnika:\")\n",
|
|||
|
|
"print(f\"Minimum: {age.min()}\")\n",
|
|||
|
|
"print(f\"Maksimum: {age.max()}\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(f\"Średnia: {age.mean()}\")\n",
|
|||
|
|
"print(f\"Mediana: {age.median()}\")\n",
|
|||
|
|
"print(f\"Odchylenie standardowe: {age.std()}\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"## Liczba zawodników dla poszczególnych narodowości (top 10)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 219,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<AxesSubplot:>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 219,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 432x288 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"data[\"Nationality\"].value_counts().head(10).plot(kind=\"bar\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"## Top 10 najlepszych i najgorszych drużyn względem średniego Overall"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 220,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"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>Overall</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Club</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Juventus</th>\n",
|
|||
|
|
" <td>0.822800</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Napoli</th>\n",
|
|||
|
|
" <td>0.800417</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Inter</th>\n",
|
|||
|
|
" <td>0.796190</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Real Madrid</th>\n",
|
|||
|
|
" <td>0.782424</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>FC Barcelona</th>\n",
|
|||
|
|
" <td>0.780303</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Milan</th>\n",
|
|||
|
|
" <td>0.775417</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Paris Saint-Germain</th>\n",
|
|||
|
|
" <td>0.774333</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Roma</th>\n",
|
|||
|
|
" <td>0.774000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Manchester United</th>\n",
|
|||
|
|
" <td>0.772424</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>SL Benfica</th>\n",
|
|||
|
|
" <td>0.770741</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Overall\n",
|
|||
|
|
"Club \n",
|
|||
|
|
"Juventus 0.822800\n",
|
|||
|
|
"Napoli 0.800417\n",
|
|||
|
|
"Inter 0.796190\n",
|
|||
|
|
"Real Madrid 0.782424\n",
|
|||
|
|
"FC Barcelona 0.780303\n",
|
|||
|
|
"Milan 0.775417\n",
|
|||
|
|
"Paris Saint-Germain 0.774333\n",
|
|||
|
|
"Roma 0.774000\n",
|
|||
|
|
"Manchester United 0.772424\n",
|
|||
|
|
"SL Benfica 0.770741"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 220,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"data[[\"Club\", \"Overall\"]].groupby(\"Club\").mean().sort_values(\"Overall\", ascending=False).head(10)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 224,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"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>Overall</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Club</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>St. Patrick's Athletic</th>\n",
|
|||
|
|
" <td>0.577826</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Cambridge United</th>\n",
|
|||
|
|
" <td>0.572593</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Waterford FC</th>\n",
|
|||
|
|
" <td>0.570000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Morecambe</th>\n",
|
|||
|
|
" <td>0.569600</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Crewe Alexandra</th>\n",
|
|||
|
|
" <td>0.566667</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Sligo Rovers</th>\n",
|
|||
|
|
" <td>0.566316</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Derry City</th>\n",
|
|||
|
|
" <td>0.555882</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Bohemian FC</th>\n",
|
|||
|
|
" <td>0.550000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Limerick FC</th>\n",
|
|||
|
|
" <td>0.545263</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Bray Wanderers</th>\n",
|
|||
|
|
" <td>0.536522</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Overall\n",
|
|||
|
|
"Club \n",
|
|||
|
|
"St. Patrick's Athletic 0.577826\n",
|
|||
|
|
"Cambridge United 0.572593\n",
|
|||
|
|
"Waterford FC 0.570000\n",
|
|||
|
|
"Morecambe 0.569600\n",
|
|||
|
|
"Crewe Alexandra 0.566667\n",
|
|||
|
|
"Sligo Rovers 0.566316\n",
|
|||
|
|
"Derry City 0.555882\n",
|
|||
|
|
"Bohemian FC 0.550000\n",
|
|||
|
|
"Limerick FC 0.545263\n",
|
|||
|
|
"Bray Wanderers 0.536522"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 224,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"data[[\"Club\", \"Overall\"]].groupby(\"Club\").mean().sort_values(\"Overall\", ascending=False).tail(10)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Top 10 klauzul uwolnienia"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 227,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"29 Isco\n",
|
|||
|
|
"11 T. Kroos\n",
|
|||
|
|
"16 H. Kane\n",
|
|||
|
|
"7 L. Suárez\n",
|
|||
|
|
"17 A. Griezmann\n",
|
|||
|
|
"25 K. Mbappé\n",
|
|||
|
|
"5 E. Hazard\n",
|
|||
|
|
"4 K. De Bruyne\n",
|
|||
|
|
"0 L. Messi\n",
|
|||
|
|
"2 Neymar Jr\n",
|
|||
|
|
"Name: Name, dtype: object"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 227,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"data.sort_values(\"Release Clause\").tail(10)[\"Name\"]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"## Zależność między wiekiem a overall zawodników dla top 10 klubów"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 228,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<seaborn.axisgrid.FacetGrid at 0x202e9f658b0>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 228,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 499.225x360 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import seaborn as sns\n",
|
|||
|
|
"sns.set_theme()\n",
|
|||
|
|
"\n",
|
|||
|
|
"#Wyświetlenie danych tylko dla top 10 klubów względem overall\n",
|
|||
|
|
"clubs = data[[\"Club\", \"Overall\"]].groupby(\"Club\", as_index=False).mean().sort_values(\"Overall\", ascending=False).head(10)[\"Club\"]\n",
|
|||
|
|
"\n",
|
|||
|
|
"data[data[\"Club\"].isin(clubs)]\n",
|
|||
|
|
"sns.relplot(data=data[data[\"Club\"].isin(clubs)], x=\"Overall\", y=\"Age\", hue=\"Club\")"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "Python 3",
|
|||
|
|
"language": "python",
|
|||
|
|
"name": "python3"
|
|||
|
|
},
|
|||
|
|
"language_info": {
|
|||
|
|
"codemirror_mode": {
|
|||
|
|
"name": "ipython",
|
|||
|
|
"version": 3
|
|||
|
|
},
|
|||
|
|
"file_extension": ".py",
|
|||
|
|
"mimetype": "text/x-python",
|
|||
|
|
"name": "python",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "ipython3",
|
|||
|
|
"version": "3.8.5"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 4
|
|||
|
|
}
|