sportowe_wizualizacja/Squad age Profile.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import io\n",
    "import pandas as pd\n",
    "import json\n",
    "import urllib.request\n",
    "import lxml\n",
    "from bs4 import BeautifulSoup\n",
    "url = 'file:///home/kirugulige/table.html'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_html(url,encoding = 'utf-8')[0] # encoding = utf-8 for word like Piqué [é]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "players = df[['Name','Age','Unnamed: 6']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "players = players.rename(columns={'Unnamed: 6' : 'Minutes Played'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_minute = players['Minutes Played'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "percentile = []\n",
    "for i in range(len(players)):\n",
    "    percentile.append((players.iloc[i]['Minutes Played']/max_minute)*100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "players['Percentile'] = percentile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>Minutes Played</th>\n",
       "      <th>Percentile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M. ter Stegen</td>\n",
       "      <td>27</td>\n",
       "      <td>3150</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>J. Cillessen</td>\n",
       "      <td>30</td>\n",
       "      <td>270</td>\n",
       "      <td>8.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iñaki Peña</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jokin Ezkieta</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nélson Semedo</td>\n",
       "      <td>25</td>\n",
       "      <td>1601</td>\n",
       "      <td>50.825397</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Name  Age  Minutes Played  Percentile\n",
       "0  M. ter Stegen   27            3150  100.000000\n",
       "1   J. Cillessen   30             270    8.571429\n",
       "2     Iñaki Peña   20               0    0.000000\n",
       "3  Jokin Ezkieta   22               0    0.000000\n",
       "4  Nélson Semedo   25            1601   50.825397"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# variable to knowif player just joined\n",
    "year_at_club = [1,1,0,0,1,1,0,0,0,1,1,1,1,0,0,0,1,1,1,0,0,1,0,0,0,0,1,1,1,0,0,1,0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#len(year_at_club)\n",
    "players['years'] = year_at_club"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>Minutes Played</th>\n",
       "      <th>Percentile</th>\n",
       "      <th>years</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M. ter Stegen</td>\n",
       "      <td>27</td>\n",
       "      <td>3150</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>J. Cillessen</td>\n",
       "      <td>30</td>\n",
       "      <td>270</td>\n",
       "      <td>8.571429</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iñaki Peña</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jokin Ezkieta</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nélson Semedo</td>\n",
       "      <td>25</td>\n",
       "      <td>1601</td>\n",
       "      <td>50.825397</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Name  Age  Minutes Played  Percentile  years\n",
       "0  M. ter Stegen   27            3150  100.000000      1\n",
       "1   J. Cillessen   30             270    8.571429      1\n",
       "2     Iñaki Peña   20               0    0.000000      0\n",
       "3  Jokin Ezkieta   22               0    0.000000      0\n",
       "4  Nélson Semedo   25            1601   50.825397      1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns; sns.set()\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Arc, Rectangle, ConnectionPatch\n",
    "\n",
    "a4_dims = (14 ,12)\n",
    "bg = \"#181818\"\n",
    "flatui = ['dodgerblue','firebrick']\n",
    "\n",
    "#player = sns.load_dataset(\"players\")\n",
    "sns.set(rc={ 'grid.color': '#5c5b5b','grid.linestyle': '-','axes.edgecolor': '#000000','axes.facecolor':bg, 'figure.facecolor':bg,'ytick.color':'white','xtick.color':'white' ,'axes.labelcolor': 'white',})\n",
    "\n",
    "#initialize\n",
    "fig, ax = plt.subplots(figsize=a4_dims)\n",
    "\n",
    "#draw the green rectangle and add to plot\n",
    "rect = Rectangle([24,-2], width = 4, height = 104, fill = True,color=\"seagreen\",zorder=5,alpha=0.5)\n",
    "ax.add_patch(rect)\n",
    "\n",
    "#add scatter points\n",
    "ax = sns.scatterplot(x=\"Age\", y=\"Percentile\",palette = flatui, data=players,s=150,legend = False,alpha=0.8,zorder =8,hue = 'years')\n",
    "plt.ylim(-2, 101)\n",
    "plt.xlim(16, 40)\n",
    "plt.title('Barcelona | Squad Age Profile \\n2018/2019',color = 'white',loc = 'left',fontweight = 'semibold')\n",
    "\n",
    "#add anotations\n",
    "for line in range(len(players)):\n",
    "     ax.text(players.iloc[line]['Age']+0.2, players.iloc[line]['Percentile'], players.iloc[line]['Name'], horizontalalignment='left', size='medium', color='white',zorder = 8)\n",
    "\n",
    "#firebrick"
   ]
  }
 ],
 "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}