matplotlib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gas = pd.read_csv('dataplot/gas_prices.csv')\n",
    "#buat ukuran\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.title('harga gas dalam USD')\n",
    "\n",
    "#plt.plot(gas.Year,gas.USA,'r.-')\n",
    "#plt.plot(gas.Year,gas.Canada,'b.-')\n",
    "#plt.plot(gas['Year'],gas['South Korea'],'g.-')\n",
    "#plt.plot(gas.Year,gas.Japan,'y.-')\n",
    "\n",
    "\n",
    "##cara untuk plot beberapa value\n",
    "for country in gas[1::]:\n",
    "    if country != 'Year':\n",
    "        plt.plot(gas.Year,gas[country],marker='*')\n",
    "\n",
    "##negara_tertentu = ['Australia','Japan','USA','South Korea']\n",
    "##for country in gas:\n",
    "##    if negara_tertentu != 'Year':\n",
    "##        plt.plot(gas.Year,gas[negara_tertentu],marker='*')\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('USD')\n",
    "\n",
    "plt.xticks(gas.Year[::3])\n",
    "plt.legend(gas[1::])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### load data fifa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "scrolled": true
   },
   "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>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>Potential</th>\n",
       "      <th>Club</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>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>94</td>\n",
       "      <td>94</td>\n",
       "      <td>FC Barcelona</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>€226.5M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\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>94</td>\n",
       "      <td>94</td>\n",
       "      <td>Juventus</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>€127.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>92</td>\n",
       "      <td>93</td>\n",
       "      <td>Paris Saint-Germain</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>€228.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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>91</td>\n",
       "      <td>93</td>\n",
       "      <td>Manchester United</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>€138.6M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>91</td>\n",
       "      <td>92</td>\n",
       "      <td>Manchester City</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>€196.4M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 89 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0      ID               Name  Age  \\\n",
       "0           0  158023           L. Messi   31   \n",
       "1           1   20801  Cristiano Ronaldo   33   \n",
       "2           2  190871          Neymar Jr   26   \n",
       "3           3  193080             De Gea   27   \n",
       "4           4  192985       K. De Bruyne   27   \n",
       "\n",
       "                                            Photo Nationality  \\\n",
       "0  https://cdn.sofifa.org/players/4/19/158023.png   Argentina   \n",
       "1   https://cdn.sofifa.org/players/4/19/20801.png    Portugal   \n",
       "2  https://cdn.sofifa.org/players/4/19/190871.png      Brazil   \n",
       "3  https://cdn.sofifa.org/players/4/19/193080.png       Spain   \n",
       "4  https://cdn.sofifa.org/players/4/19/192985.png     Belgium   \n",
       "\n",
       "                                  Flag  Overall  Potential  \\\n",
       "0  https://cdn.sofifa.org/flags/52.png       94         94   \n",
       "1  https://cdn.sofifa.org/flags/38.png       94         94   \n",
       "2  https://cdn.sofifa.org/flags/54.png       92         93   \n",
       "3  https://cdn.sofifa.org/flags/45.png       91         93   \n",
       "4   https://cdn.sofifa.org/flags/7.png       91         92   \n",
       "\n",
       "                  Club  ... Composure Marking StandingTackle  SlidingTackle  \\\n",
       "0         FC Barcelona  ...      96.0    33.0           28.0           26.0   \n",
       "1             Juventus  ...      95.0    28.0           31.0           23.0   \n",
       "2  Paris Saint-Germain  ...      94.0    27.0           24.0           33.0   \n",
       "3    Manchester United  ...      68.0    15.0           21.0           13.0   \n",
       "4      Manchester City  ...      88.0    68.0           58.0           51.0   \n",
       "\n",
       "  GKDiving  GKHandling  GKKicking  GKPositioning GKReflexes Release Clause  \n",
       "0      6.0        11.0       15.0           14.0        8.0        €226.5M  \n",
       "1      7.0        11.0       15.0           14.0       11.0        €127.1M  \n",
       "2      9.0         9.0       15.0           15.0       11.0        €228.1M  \n",
       "3     90.0        85.0       87.0           88.0       94.0        €138.6M  \n",
       "4     15.0        13.0        5.0           10.0       13.0        €196.4M  \n",
       "\n",
       "[5 rows x 89 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa = pd.read_csv('dataplot/fifa_data.csv')\n",
    "\n",
    "fifa.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = [10,20,30,40,50,60,70,80,90,100]\n",
    "\n",
    "plt.hist(fifa.Overall,bins,color = 'red')\n",
    "plt.xticks(bins)\n",
    "plt.xlabel('overall skill')\n",
    "plt.ylabel('Jumlah pemain')\n",
    "\n",
    "plt.title('tingkat overall skill')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kaki_kiri = fifa.loc[fifa['Preferred Foot'] == 'Left'].count()[0]\n",
    "kaki_kanan = fifa.loc[fifa['Preferred Foot'] == 'Right'].count()[0]\n",
    "\n",
    "label = ['kaki kanan','kaki kiri']\n",
    "warna = ['orange','green']\n",
    "plt.pie([kaki_kanan,kaki_kiri],labels = label,colors = warna,autopct ='%.2f %%')\n",
    "plt.title('kaki kekuatan pemain')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "fifa.Weight = [int(x.strip('lbs')) if type(x)==str else x for x in fifa.Weight]\n",
    "plt.style.use('default')\n",
    "light = fifa.loc[fifa.Weight < 125].count()[0]\n",
    "\n",
    "light_medium = fifa.loc[(fifa.Weight >= 125)  & (fifa.Weight < 150) ].count()[0]\n",
    "\n",
    "medium = fifa.loc[(fifa.Weight >= 150)  & (fifa.Weight < 175) ].count()[0]\n",
    "\n",
    "heavy_medium = fifa.loc[(fifa.Weight >= 175)  & (fifa.Weight < 200) ].count()[0]\n",
    "\n",
    "\n",
    "heavy = fifa.loc[fifa.Weight > 200].count()[0]\n",
    "explode = (0.31,0.3,0.3,0.3,0.31)\n",
    "label = ['Dibawah 125','125 - 150','150 - 175',' 175 - 200','Diatas 200' ]\n",
    "weights = [light,light_medium,medium,heavy_medium,heavy]\n",
    "plt.pie(weights,labels = label,autopct ='%.2f %%',pctdistance = 0.8,explode = explode)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>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>Potential</th>\n",
       "      <th>Club</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>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>94</td>\n",
       "      <td>94</td>\n",
       "      <td>FC Barcelona</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>€226.5M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\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>94</td>\n",
       "      <td>94</td>\n",
       "      <td>Juventus</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>€127.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>92</td>\n",
       "      <td>93</td>\n",
       "      <td>Paris Saint-Germain</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>€228.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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>91</td>\n",
       "      <td>93</td>\n",
       "      <td>Manchester United</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>€138.6M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>91</td>\n",
       "      <td>92</td>\n",
       "      <td>Manchester City</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>€196.4M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>183277</td>\n",
       "      <td>E. Hazard</td>\n",
       "      <td>27</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/183277.png</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>https://cdn.sofifa.org/flags/7.png</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>...</td>\n",
       "      <td>91.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>€172.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>177003</td>\n",
       "      <td>L. Modrić</td>\n",
       "      <td>32</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/177003.png</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>https://cdn.sofifa.org/flags/10.png</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>€137.4M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>176580</td>\n",
       "      <td>L. Suárez</td>\n",
       "      <td>31</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/176580.png</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>https://cdn.sofifa.org/flags/60.png</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>FC Barcelona</td>\n",
       "      <td>...</td>\n",
       "      <td>85.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>€164M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>155862</td>\n",
       "      <td>Sergio Ramos</td>\n",
       "      <td>32</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/155862.png</td>\n",
       "      <td>Spain</td>\n",
       "      <td>https://cdn.sofifa.org/flags/45.png</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€104.6M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>200389</td>\n",
       "      <td>J. Oblak</td>\n",
       "      <td>25</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/200389.png</td>\n",
       "      <td>Slovenia</td>\n",
       "      <td>https://cdn.sofifa.org/flags/44.png</td>\n",
       "      <td>90</td>\n",
       "      <td>93</td>\n",
       "      <td>Atlético Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>€144.5M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>188545</td>\n",
       "      <td>R. Lewandowski</td>\n",
       "      <td>29</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/188545.png</td>\n",
       "      <td>Poland</td>\n",
       "      <td>https://cdn.sofifa.org/flags/37.png</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>FC Bayern München</td>\n",
       "      <td>...</td>\n",
       "      <td>86.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>€127.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>182521</td>\n",
       "      <td>T. Kroos</td>\n",
       "      <td>28</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/182521.png</td>\n",
       "      <td>Germany</td>\n",
       "      <td>https://cdn.sofifa.org/flags/21.png</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>85.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>€156.8M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>182493</td>\n",
       "      <td>D. Godín</td>\n",
       "      <td>32</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/182493.png</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>https://cdn.sofifa.org/flags/60.png</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>Atlético Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>€90.2M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>168542</td>\n",
       "      <td>David Silva</td>\n",
       "      <td>32</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/168542.png</td>\n",
       "      <td>Spain</td>\n",
       "      <td>https://cdn.sofifa.org/flags/45.png</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>€111M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>215914</td>\n",
       "      <td>N. Kanté</td>\n",
       "      <td>27</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/215914.png</td>\n",
       "      <td>France</td>\n",
       "      <td>https://cdn.sofifa.org/flags/18.png</td>\n",
       "      <td>89</td>\n",
       "      <td>90</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>...</td>\n",
       "      <td>85.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>€121.3M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>211110</td>\n",
       "      <td>P. Dybala</td>\n",
       "      <td>24</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/211110.png</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>https://cdn.sofifa.org/flags/52.png</td>\n",
       "      <td>89</td>\n",
       "      <td>94</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>€153.5M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>202126</td>\n",
       "      <td>H. Kane</td>\n",
       "      <td>24</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/202126.png</td>\n",
       "      <td>England</td>\n",
       "      <td>https://cdn.sofifa.org/flags/14.png</td>\n",
       "      <td>89</td>\n",
       "      <td>91</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>...</td>\n",
       "      <td>89.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€160.7M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>194765</td>\n",
       "      <td>A. Griezmann</td>\n",
       "      <td>27</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/194765.png</td>\n",
       "      <td>France</td>\n",
       "      <td>https://cdn.sofifa.org/flags/18.png</td>\n",
       "      <td>89</td>\n",
       "      <td>90</td>\n",
       "      <td>Atlético Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>87.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>€165.8M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>192448</td>\n",
       "      <td>M. ter Stegen</td>\n",
       "      <td>26</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/192448.png</td>\n",
       "      <td>Germany</td>\n",
       "      <td>https://cdn.sofifa.org/flags/21.png</td>\n",
       "      <td>89</td>\n",
       "      <td>92</td>\n",
       "      <td>FC Barcelona</td>\n",
       "      <td>...</td>\n",
       "      <td>69.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>€123.3M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>192119</td>\n",
       "      <td>T. Courtois</td>\n",
       "      <td>26</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/192119.png</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>https://cdn.sofifa.org/flags/7.png</td>\n",
       "      <td>89</td>\n",
       "      <td>90</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>€113.7M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>189511</td>\n",
       "      <td>Sergio Busquets</td>\n",
       "      <td>29</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/189511.png</td>\n",
       "      <td>Spain</td>\n",
       "      <td>https://cdn.sofifa.org/flags/45.png</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>FC Barcelona</td>\n",
       "      <td>...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>€105.6M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>179813</td>\n",
       "      <td>E. Cavani</td>\n",
       "      <td>31</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/179813.png</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>https://cdn.sofifa.org/flags/60.png</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>Paris Saint-Germain</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>€111M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>167495</td>\n",
       "      <td>M. Neuer</td>\n",
       "      <td>32</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/167495.png</td>\n",
       "      <td>Germany</td>\n",
       "      <td>https://cdn.sofifa.org/flags/21.png</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>FC Bayern München</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>€62.7M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>153079</td>\n",
       "      <td>S. Agüero</td>\n",
       "      <td>30</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/153079.png</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>https://cdn.sofifa.org/flags/52.png</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>€119.3M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>138956</td>\n",
       "      <td>G. Chiellini</td>\n",
       "      <td>33</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/138956.png</td>\n",
       "      <td>Italy</td>\n",
       "      <td>https://cdn.sofifa.org/flags/27.png</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>€44.6M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>231747</td>\n",
       "      <td>K. Mbappé</td>\n",
       "      <td>19</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/231747.png</td>\n",
       "      <td>France</td>\n",
       "      <td>https://cdn.sofifa.org/flags/18.png</td>\n",
       "      <td>88</td>\n",
       "      <td>95</td>\n",
       "      <td>Paris Saint-Germain</td>\n",
       "      <td>...</td>\n",
       "      <td>86.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>€166.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>209331</td>\n",
       "      <td>M. Salah</td>\n",
       "      <td>26</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/209331.png</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>https://cdn.sofifa.org/flags/111.png</td>\n",
       "      <td>88</td>\n",
       "      <td>89</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>...</td>\n",
       "      <td>91.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>€137.3M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>200145</td>\n",
       "      <td>Casemiro</td>\n",
       "      <td>26</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/200145.png</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>https://cdn.sofifa.org/flags/54.png</td>\n",
       "      <td>88</td>\n",
       "      <td>90</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>€126.4M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>198710</td>\n",
       "      <td>J. Rodríguez</td>\n",
       "      <td>26</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/198710.png</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>https://cdn.sofifa.org/flags/56.png</td>\n",
       "      <td>88</td>\n",
       "      <td>89</td>\n",
       "      <td>FC Bayern München</td>\n",
       "      <td>...</td>\n",
       "      <td>87.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>198219</td>\n",
       "      <td>L. Insigne</td>\n",
       "      <td>27</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/198219.png</td>\n",
       "      <td>Italy</td>\n",
       "      <td>https://cdn.sofifa.org/flags/27.png</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>Napoli</td>\n",
       "      <td>...</td>\n",
       "      <td>83.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>€105.4M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 89 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0      ID               Name  Age  \\\n",
       "0            0  158023           L. Messi   31   \n",
       "1            1   20801  Cristiano Ronaldo   33   \n",
       "2            2  190871          Neymar Jr   26   \n",
       "3            3  193080             De Gea   27   \n",
       "4            4  192985       K. De Bruyne   27   \n",
       "5            5  183277          E. Hazard   27   \n",
       "6            6  177003          L. Modrić   32   \n",
       "7            7  176580          L. Suárez   31   \n",
       "8            8  155862       Sergio Ramos   32   \n",
       "9            9  200389           J. Oblak   25   \n",
       "10          10  188545     R. Lewandowski   29   \n",
       "11          11  182521           T. Kroos   28   \n",
       "12          12  182493           D. Godín   32   \n",
       "13          13  168542        David Silva   32   \n",
       "14          14  215914           N. Kanté   27   \n",
       "15          15  211110          P. Dybala   24   \n",
       "16          16  202126            H. Kane   24   \n",
       "17          17  194765       A. Griezmann   27   \n",
       "18          18  192448      M. ter Stegen   26   \n",
       "19          19  192119        T. Courtois   26   \n",
       "20          20  189511    Sergio Busquets   29   \n",
       "21          21  179813          E. Cavani   31   \n",
       "22          22  167495           M. Neuer   32   \n",
       "23          23  153079          S. Agüero   30   \n",
       "24          24  138956       G. Chiellini   33   \n",
       "25          25  231747          K. Mbappé   19   \n",
       "26          26  209331           M. Salah   26   \n",
       "27          27  200145           Casemiro   26   \n",
       "28          28  198710       J. Rodríguez   26   \n",
       "29          29  198219         L. Insigne   27   \n",
       "\n",
       "                                             Photo Nationality  \\\n",
       "0   https://cdn.sofifa.org/players/4/19/158023.png   Argentina   \n",
       "1    https://cdn.sofifa.org/players/4/19/20801.png    Portugal   \n",
       "2   https://cdn.sofifa.org/players/4/19/190871.png      Brazil   \n",
       "3   https://cdn.sofifa.org/players/4/19/193080.png       Spain   \n",
       "4   https://cdn.sofifa.org/players/4/19/192985.png     Belgium   \n",
       "5   https://cdn.sofifa.org/players/4/19/183277.png     Belgium   \n",
       "6   https://cdn.sofifa.org/players/4/19/177003.png     Croatia   \n",
       "7   https://cdn.sofifa.org/players/4/19/176580.png     Uruguay   \n",
       "8   https://cdn.sofifa.org/players/4/19/155862.png       Spain   \n",
       "9   https://cdn.sofifa.org/players/4/19/200389.png    Slovenia   \n",
       "10  https://cdn.sofifa.org/players/4/19/188545.png      Poland   \n",
       "11  https://cdn.sofifa.org/players/4/19/182521.png     Germany   \n",
       "12  https://cdn.sofifa.org/players/4/19/182493.png     Uruguay   \n",
       "13  https://cdn.sofifa.org/players/4/19/168542.png       Spain   \n",
       "14  https://cdn.sofifa.org/players/4/19/215914.png      France   \n",
       "15  https://cdn.sofifa.org/players/4/19/211110.png   Argentina   \n",
       "16  https://cdn.sofifa.org/players/4/19/202126.png     England   \n",
       "17  https://cdn.sofifa.org/players/4/19/194765.png      France   \n",
       "18  https://cdn.sofifa.org/players/4/19/192448.png     Germany   \n",
       "19  https://cdn.sofifa.org/players/4/19/192119.png     Belgium   \n",
       "20  https://cdn.sofifa.org/players/4/19/189511.png       Spain   \n",
       "21  https://cdn.sofifa.org/players/4/19/179813.png     Uruguay   \n",
       "22  https://cdn.sofifa.org/players/4/19/167495.png     Germany   \n",
       "23  https://cdn.sofifa.org/players/4/19/153079.png   Argentina   \n",
       "24  https://cdn.sofifa.org/players/4/19/138956.png       Italy   \n",
       "25  https://cdn.sofifa.org/players/4/19/231747.png      France   \n",
       "26  https://cdn.sofifa.org/players/4/19/209331.png       Egypt   \n",
       "27  https://cdn.sofifa.org/players/4/19/200145.png      Brazil   \n",
       "28  https://cdn.sofifa.org/players/4/19/198710.png    Colombia   \n",
       "29  https://cdn.sofifa.org/players/4/19/198219.png       Italy   \n",
       "\n",
       "                                    Flag  Overall  Potential  \\\n",
       "0    https://cdn.sofifa.org/flags/52.png       94         94   \n",
       "1    https://cdn.sofifa.org/flags/38.png       94         94   \n",
       "2    https://cdn.sofifa.org/flags/54.png       92         93   \n",
       "3    https://cdn.sofifa.org/flags/45.png       91         93   \n",
       "4     https://cdn.sofifa.org/flags/7.png       91         92   \n",
       "5     https://cdn.sofifa.org/flags/7.png       91         91   \n",
       "6    https://cdn.sofifa.org/flags/10.png       91         91   \n",
       "7    https://cdn.sofifa.org/flags/60.png       91         91   \n",
       "8    https://cdn.sofifa.org/flags/45.png       91         91   \n",
       "9    https://cdn.sofifa.org/flags/44.png       90         93   \n",
       "10   https://cdn.sofifa.org/flags/37.png       90         90   \n",
       "11   https://cdn.sofifa.org/flags/21.png       90         90   \n",
       "12   https://cdn.sofifa.org/flags/60.png       90         90   \n",
       "13   https://cdn.sofifa.org/flags/45.png       90         90   \n",
       "14   https://cdn.sofifa.org/flags/18.png       89         90   \n",
       "15   https://cdn.sofifa.org/flags/52.png       89         94   \n",
       "16   https://cdn.sofifa.org/flags/14.png       89         91   \n",
       "17   https://cdn.sofifa.org/flags/18.png       89         90   \n",
       "18   https://cdn.sofifa.org/flags/21.png       89         92   \n",
       "19    https://cdn.sofifa.org/flags/7.png       89         90   \n",
       "20   https://cdn.sofifa.org/flags/45.png       89         89   \n",
       "21   https://cdn.sofifa.org/flags/60.png       89         89   \n",
       "22   https://cdn.sofifa.org/flags/21.png       89         89   \n",
       "23   https://cdn.sofifa.org/flags/52.png       89         89   \n",
       "24   https://cdn.sofifa.org/flags/27.png       89         89   \n",
       "25   https://cdn.sofifa.org/flags/18.png       88         95   \n",
       "26  https://cdn.sofifa.org/flags/111.png       88         89   \n",
       "27   https://cdn.sofifa.org/flags/54.png       88         90   \n",
       "28   https://cdn.sofifa.org/flags/56.png       88         89   \n",
       "29   https://cdn.sofifa.org/flags/27.png       88         88   \n",
       "\n",
       "                   Club  ... Composure Marking StandingTackle  SlidingTackle  \\\n",
       "0          FC Barcelona  ...      96.0    33.0           28.0           26.0   \n",
       "1              Juventus  ...      95.0    28.0           31.0           23.0   \n",
       "2   Paris Saint-Germain  ...      94.0    27.0           24.0           33.0   \n",
       "3     Manchester United  ...      68.0    15.0           21.0           13.0   \n",
       "4       Manchester City  ...      88.0    68.0           58.0           51.0   \n",
       "5               Chelsea  ...      91.0    34.0           27.0           22.0   \n",
       "6           Real Madrid  ...      84.0    60.0           76.0           73.0   \n",
       "7          FC Barcelona  ...      85.0    62.0           45.0           38.0   \n",
       "8           Real Madrid  ...      82.0    87.0           92.0           91.0   \n",
       "9       Atlético Madrid  ...      70.0    27.0           12.0           18.0   \n",
       "10    FC Bayern München  ...      86.0    34.0           42.0           19.0   \n",
       "11          Real Madrid  ...      85.0    72.0           79.0           69.0   \n",
       "12      Atlético Madrid  ...      82.0    90.0           89.0           89.0   \n",
       "13      Manchester City  ...      93.0    59.0           53.0           29.0   \n",
       "14              Chelsea  ...      85.0    90.0           91.0           85.0   \n",
       "15             Juventus  ...      84.0    23.0           20.0           20.0   \n",
       "16    Tottenham Hotspur  ...      89.0    56.0           36.0           38.0   \n",
       "17      Atlético Madrid  ...      87.0    59.0           47.0           48.0   \n",
       "18         FC Barcelona  ...      69.0    25.0           13.0           10.0   \n",
       "19          Real Madrid  ...      66.0    20.0           18.0           16.0   \n",
       "20         FC Barcelona  ...      90.0    90.0           86.0           80.0   \n",
       "21  Paris Saint-Germain  ...      82.0    52.0           45.0           39.0   \n",
       "22    FC Bayern München  ...      70.0    17.0           10.0           11.0   \n",
       "23      Manchester City  ...      90.0    30.0           20.0           12.0   \n",
       "24             Juventus  ...      84.0    93.0           93.0           90.0   \n",
       "25  Paris Saint-Germain  ...      86.0    34.0           34.0           32.0   \n",
       "26            Liverpool  ...      91.0    38.0           43.0           41.0   \n",
       "27          Real Madrid  ...      84.0    88.0           90.0           87.0   \n",
       "28    FC Bayern München  ...      87.0    52.0           41.0           44.0   \n",
       "29               Napoli  ...      83.0    51.0           24.0           22.0   \n",
       "\n",
       "   GKDiving  GKHandling  GKKicking  GKPositioning GKReflexes Release Clause  \n",
       "0       6.0        11.0       15.0           14.0        8.0        €226.5M  \n",
       "1       7.0        11.0       15.0           14.0       11.0        €127.1M  \n",
       "2       9.0         9.0       15.0           15.0       11.0        €228.1M  \n",
       "3      90.0        85.0       87.0           88.0       94.0        €138.6M  \n",
       "4      15.0        13.0        5.0           10.0       13.0        €196.4M  \n",
       "5      11.0        12.0        6.0            8.0        8.0        €172.1M  \n",
       "6      13.0         9.0        7.0           14.0        9.0        €137.4M  \n",
       "7      27.0        25.0       31.0           33.0       37.0          €164M  \n",
       "8      11.0         8.0        9.0            7.0       11.0        €104.6M  \n",
       "9      86.0        92.0       78.0           88.0       89.0        €144.5M  \n",
       "10     15.0         6.0       12.0            8.0       10.0        €127.1M  \n",
       "11     10.0        11.0       13.0            7.0       10.0        €156.8M  \n",
       "12      6.0         8.0       15.0            5.0       15.0         €90.2M  \n",
       "13      6.0        15.0        7.0            6.0       12.0          €111M  \n",
       "14     15.0        12.0       10.0            7.0       10.0        €121.3M  \n",
       "15      5.0         4.0        4.0            5.0        8.0        €153.5M  \n",
       "16      8.0        10.0       11.0           14.0       11.0        €160.7M  \n",
       "17     14.0         8.0       14.0           13.0       14.0        €165.8M  \n",
       "18     87.0        85.0       88.0           85.0       90.0        €123.3M  \n",
       "19     85.0        91.0       72.0           86.0       88.0        €113.7M  \n",
       "20      5.0         8.0       13.0            9.0       13.0        €105.6M  \n",
       "21     12.0         5.0       13.0           13.0       10.0          €111M  \n",
       "22     90.0        86.0       91.0           87.0       87.0         €62.7M  \n",
       "23     13.0        15.0        6.0           11.0       14.0        €119.3M  \n",
       "24      3.0         3.0        2.0            4.0        3.0         €44.6M  \n",
       "25     13.0         5.0        7.0           11.0        6.0        €166.1M  \n",
       "26     14.0        14.0        9.0           11.0       14.0        €137.3M  \n",
       "27     13.0        14.0       16.0           12.0       12.0        €126.4M  \n",
       "28     15.0        15.0       15.0            5.0       14.0            NaN  \n",
       "29      8.0         4.0       14.0            9.0       10.0        €105.4M  \n",
       "\n",
       "[30 rows x 89 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.style.use('default')\n",
    "mu = fifa.loc[fifa.Club == 'Manchester United']['Overall']\n",
    "city = fifa.loc[fifa.Club == 'Manchester City']['Overall']\n",
    "liverpool = fifa.loc[fifa.Club == 'Liverpool']['Overall']\n",
    "arsenal = fifa.loc[fifa.Club == 'Arsenal']['Overall']\n",
    "tot = fifa.loc[fifa.Club == 'Tottenham Hotspur']['Overall']\n",
    "chelsea = fifa.loc[fifa.Club == 'Chelsea']['Overall']\n",
    "\n",
    "label = ['Man U', 'Man City','Liverpool','Arsenal','Spurs','Chelsea']\n",
    "plt.boxplot([mu,city,liverpool,arsenal,tot,chelsea],labels = label)\n",
    "\n",
    "plt.title('Big six EPL Comparison')\n",
    "plt.ylabel(' Fifa Overall Rating',rotation = 'vertical')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "fifa.head(30)"
   ]
  }
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