src/Matplotlib_Tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Necessary Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Line Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [0,1,2,3,4]\n",
    "y = [0,2,4,6,8]\n",
    "\n",
    "# Resize your Graph\n",
    "plt.figure(figsize=(5,3), dpi=300)\n",
    "\n",
    "# 'b^--' => Shorthand Notation to Restyle Line\n",
    "plt.plot(x,y, 'b^--',label='2x')\n",
    "\n",
    "plt.title('Our First Graph!', fontdict={'fontname':'Comic Sans MS', 'fontsize':20})\n",
    "plt.xlabel('X Axis')\n",
    "plt.ylabel(\"Y Axis\")\n",
    "\n",
    "plt.xticks([0,1,2,3])\n",
    "plt.yticks([0,2,4,6,8,10,12])\n",
    "\n",
    "## Line Number Two\n",
    "x2 = np.arange(0,4,0.5)\n",
    "\n",
    "plt.plot(x2[:6], x2[:6]**2, 'r',label='x^2')\n",
    "plt.plot(x2[5:], x2[5:]**2, 'r--',label='x^2')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['A','B','C']\n",
    "values = [1,4,2]\n",
    "\n",
    "plt.bar(labels, values)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['A','B','C']\n",
    "values = [1,4,2]\n",
    "\n",
    "bars = plt.bar(labels, values)\n",
    "\n",
    "\n",
    "patterns = ['/','*','.']\n",
    "for bar in bars:\n",
    "    bar.set_hatch(patterns.pop(0))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Real World Example \n",
    "#### Line Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Year</th>\n",
       "      <th>Australia</th>\n",
       "      <th>Canada</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>Italy</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Mexico</th>\n",
       "      <th>South Korea</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.87</td>\n",
       "      <td>3.63</td>\n",
       "      <td>2.65</td>\n",
       "      <td>4.59</td>\n",
       "      <td>3.16</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.05</td>\n",
       "      <td>2.82</td>\n",
       "      <td>1.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1991</td>\n",
       "      <td>1.96</td>\n",
       "      <td>1.92</td>\n",
       "      <td>3.45</td>\n",
       "      <td>2.90</td>\n",
       "      <td>4.50</td>\n",
       "      <td>3.46</td>\n",
       "      <td>1.30</td>\n",
       "      <td>2.49</td>\n",
       "      <td>3.01</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1.73</td>\n",
       "      <td>3.56</td>\n",
       "      <td>3.27</td>\n",
       "      <td>4.53</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1.50</td>\n",
       "      <td>2.65</td>\n",
       "      <td>3.06</td>\n",
       "      <td>1.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1993</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1.57</td>\n",
       "      <td>3.41</td>\n",
       "      <td>3.07</td>\n",
       "      <td>3.68</td>\n",
       "      <td>4.16</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2.88</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1994</td>\n",
       "      <td>1.84</td>\n",
       "      <td>1.45</td>\n",
       "      <td>3.59</td>\n",
       "      <td>3.52</td>\n",
       "      <td>3.70</td>\n",
       "      <td>4.36</td>\n",
       "      <td>1.48</td>\n",
       "      <td>2.87</td>\n",
       "      <td>2.99</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Australia  Canada  France  Germany  Italy  Japan  Mexico  \\\n",
       "0  1990        NaN    1.87    3.63     2.65   4.59   3.16    1.00   \n",
       "1  1991       1.96    1.92    3.45     2.90   4.50   3.46    1.30   \n",
       "2  1992       1.89    1.73    3.56     3.27   4.53   3.58    1.50   \n",
       "3  1993       1.73    1.57    3.41     3.07   3.68   4.16    1.56   \n",
       "4  1994       1.84    1.45    3.59     3.52   3.70   4.36    1.48   \n",
       "\n",
       "   South Korea    UK   USA  \n",
       "0         2.05  2.82  1.16  \n",
       "1         2.49  3.01  1.14  \n",
       "2         2.65  3.06  1.13  \n",
       "3         2.88  2.84  1.11  \n",
       "4         2.87  2.99  1.11  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gasPrices = pd.read_csv('../dataset/gas_prices.csv')\n",
    "\n",
    "gasPrices.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1990\n",
       "1     1991\n",
       "2     1992\n",
       "3     1993\n",
       "4     1994\n",
       "5     1995\n",
       "6     1996\n",
       "7     1997\n",
       "8     1998\n",
       "9     1999\n",
       "10    2000\n",
       "11    2001\n",
       "12    2002\n",
       "13    2003\n",
       "14    2004\n",
       "15    2005\n",
       "16    2006\n",
       "17    2007\n",
       "18    2008\n",
       "Name: Year, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gasPrices.Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Number One\n",
    "plt.plot(gasPrices.Year, gasPrices.USA, 'b.-', label='United State')\n",
    "# Plot Number Two\n",
    "plt.plot(gasPrices['Year'], gasPrices['Canada'], 'r.--', label='Canada')\n",
    "\n",
    "plt.title('Gas Prices Over Time (in USD)')\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('US Dollars')\n",
    "\n",
    "plt.xticks(gasPrices.Year[::3])\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa = pd.read_csv('../dataset/fifa_data.csv')\n",
    "fifa.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Task: How many player overal skills is between x,y? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = [40,50,60,70,80,90,100]\n",
    "\n",
    "plt.hist(fifa.Overall, bins=bins, color='#abcdef')\n",
    "\n",
    "plt.title('Distribution of Player Overall Skills in FIFA 2018')\n",
    "\n",
    "plt.xlabel('Overal Skill Level')\n",
    "plt.ylabel('Number of Players')\n",
    "plt.xticks(bins)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pie Charts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prefered foot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     Left\n",
       "1    Right\n",
       "2    Right\n",
       "3    Right\n",
       "4    Right\n",
       "Name: Preferred Foot, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa['Preferred Foot'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4211\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\1392534135.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  left = fifa.loc[fifa['Preferred Foot']=='Left'].count()[0]\n"
     ]
    }
   ],
   "source": [
    "left = fifa.loc[fifa['Preferred Foot']=='Left'].count()[0]\n",
    "print(left)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13948\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\3996287715.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  right = fifa.loc[fifa['Preferred Foot']=='Right'].count()[0]\n"
     ]
    }
   ],
   "source": [
    "right = fifa.loc[fifa['Preferred Foot']=='Right'].count()[0]\n",
    "print(right)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['Left', 'Right']\n",
    "colors = ['#abcdef', '#aafffa']\n",
    "\n",
    "plt.pie([left,right], labels=labels, colors=colors, autopct='%.2f %%')\n",
    "\n",
    "plt.title('Foot Preference of FIFA Players')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### More Advanced Pie Charts\n",
    "Range of Weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    159lbs\n",
       "1    183lbs\n",
       "2    150lbs\n",
       "3    168lbs\n",
       "4    154lbs\n",
       "Name: Weight, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa.Weight.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    159.0\n",
       "1    183.0\n",
       "2    150.0\n",
       "3    168.0\n",
       "4    154.0\n",
       "Name: Weight, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa.Weight = [int(x.strip('lbs')) if type(x)==str else x for x in fifa.Weight]\n",
    "fifa.Weight.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Value Seperate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\1393183305.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  light = fifa.loc[fifa['Weight'] < 125].count()[0]\n",
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\1393183305.py:2: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  light_medium = fifa.loc[(fifa['Weight'] >= 125) & (fifa['Weight'] < 150)].count()[0]\n",
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\1393183305.py:3: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  medium = fifa.loc[(fifa['Weight'] >= 150) & (fifa['Weight'] < 175)].count()[0]\n",
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\1393183305.py:4: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  medium_heavy = fifa.loc[(fifa['Weight'] >= 175) & (fifa['Weight'] < 200)].count()[0]\n",
      "C:\\Users\\Farid\\AppData\\Local\\Temp\\ipykernel_700\\1393183305.py:5: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  heavy = fifa.loc[fifa['Weight'] >= 200].count()[0]\n"
     ]
    }
   ],
   "source": [
    "light = fifa.loc[fifa['Weight'] < 125].count()[0]\n",
    "light_medium = fifa.loc[(fifa['Weight'] >= 125) & (fifa['Weight'] < 150)].count()[0]\n",
    "medium = fifa.loc[(fifa['Weight'] >= 150) & (fifa['Weight'] < 175)].count()[0]\n",
    "medium_heavy = fifa.loc[(fifa['Weight'] >= 175) & (fifa['Weight'] < 200)].count()[0]\n",
    "heavy = fifa.loc[fifa['Weight'] >= 200].count()[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# It is just for Color\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "weights = [light, light_medium, medium, medium_heavy, heavy]\n",
    "labels = ['Under 125', '125-150', '150-175', '175-200','Over 200']\n",
    "\n",
    "explode = (.4,.2,0,0,.4)\n",
    "\n",
    "plt.pie(weights, labels=labels, autopct='%.2f %%', pctdistance=0.8, explode=explode)\n",
    "\n",
    "plt.title('Weights Distribution of FIFA Players (in lbs)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic BoxPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare Team Players"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     94\n",
       "7     91\n",
       "18    89\n",
       "20    89\n",
       "32    88\n",
       "Name: Overall, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "barcelona = fifa.loc[fifa.Club == 'FC Barcelona']['Overall']\n",
    "\n",
    "barcelona.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6     91\n",
       "8     91\n",
       "11    90\n",
       "19    89\n",
       "27    88\n",
       "Name: Overall, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid = fifa.loc[fifa.Club == 'Real Madrid']['Overall']\n",
    "\n",
    "madrid.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels=['Barcelona', 'Real Madrid']\n",
    "\n",
    "plt.figure(figsize=(5,8))\n",
    "\n",
    "plt.boxplot([barcelona, madrid], labels=labels)\n",
    "\n",
    "plt.title('Professional Soccer Team Comparison')\n",
    "plt.ylabel('FIFA Overall Rating')\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}