RunVPass.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9d757398",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:10.304146Z",
     "iopub.status.busy": "2024-06-16T12:02:10.303951Z",
     "iopub.status.idle": "2024-06-16T12:02:10.852878Z",
     "shell.execute_reply": "2024-06-16T12:02:10.852256Z"
    },
    "id": "9d757398",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "# Dependencies\n",
    "import nfl_data_py as nfl\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import urllib.request\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.offsetbox import OffsetImage, AnnotationBbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a2b1fedc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:10.855641Z",
     "iopub.status.busy": "2024-06-16T12:02:10.855396Z",
     "iopub.status.idle": "2024-06-16T12:02:11.000573Z",
     "shell.execute_reply": "2024-06-16T12:02:11.000009Z"
    },
    "id": "a2b1fedc",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "logos = nfl.import_team_desc()\n",
    "logos.head()\n",
    "logos = logos[['team_abbr', 'team_logo_espn']]\n",
    "logo_paths = []\n",
    "team_abbr = []\n",
    "\n",
    "if not os.path.exists(\"logos\"):\n",
    "    os.makedirs(\"logos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2e8980cf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:11.002805Z",
     "iopub.status.busy": "2024-06-16T12:02:11.002609Z",
     "iopub.status.idle": "2024-06-16T12:02:11.619012Z",
     "shell.execute_reply": "2024-06-16T12:02:11.618433Z"
    },
    "id": "2e8980cf",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "for team in range(len(logos)):\n",
    "    urllib.request.urlretrieve(logos['team_logo_espn'][team], f\"logos/{logos['team_abbr'][team]}.tif\")\n",
    "    logo_paths.append(f\"logos/{logos['team_abbr'][team]}.tif\")\n",
    "    team_abbr.append(logos['team_abbr'][team])\n",
    "  \n",
    "data = {'Team' : team_abbr, 'Logo Path' : logo_paths}\n",
    "logo_df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "aad5eb88",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 147
    },
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:11.621670Z",
     "iopub.status.busy": "2024-06-16T12:02:11.621272Z",
     "iopub.status.idle": "2024-06-16T12:02:13.062858Z",
     "shell.execute_reply": "2024-06-16T12:02:13.062169Z"
    },
    "id": "aad5eb88",
    "outputId": "76806c3b-0a39-4b90-eb3c-9405686c8149",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023 done.\n",
      "Downcasting floats.\n"
     ]
    },
    {
     "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>Team</th>\n",
       "      <th>rushing_yards</th>\n",
       "      <th>passing_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ARI</td>\n",
       "      <td>2365.0</td>\n",
       "      <td>3430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATL</td>\n",
       "      <td>2159.0</td>\n",
       "      <td>3775.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BAL</td>\n",
       "      <td>2971.0</td>\n",
       "      <td>4305.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BUF</td>\n",
       "      <td>2561.0</td>\n",
       "      <td>4695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CAR</td>\n",
       "      <td>1769.0</td>\n",
       "      <td>3245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CHI</td>\n",
       "      <td>2399.0</td>\n",
       "      <td>3421.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CIN</td>\n",
       "      <td>1527.0</td>\n",
       "      <td>4257.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CLE</td>\n",
       "      <td>2073.0</td>\n",
       "      <td>4318.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DAL</td>\n",
       "      <td>2043.0</td>\n",
       "      <td>5063.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DEN</td>\n",
       "      <td>1810.0</td>\n",
       "      <td>3566.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DET</td>\n",
       "      <td>2686.0</td>\n",
       "      <td>5443.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>GB</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>4676.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HOU</td>\n",
       "      <td>1751.0</td>\n",
       "      <td>5033.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>IND</td>\n",
       "      <td>2059.0</td>\n",
       "      <td>3882.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>JAX</td>\n",
       "      <td>1646.0</td>\n",
       "      <td>4377.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>KC</td>\n",
       "      <td>2295.0</td>\n",
       "      <td>5434.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>LA</td>\n",
       "      <td>2113.0</td>\n",
       "      <td>4667.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LAC</td>\n",
       "      <td>1642.0</td>\n",
       "      <td>4312.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LV</td>\n",
       "      <td>1542.0</td>\n",
       "      <td>3666.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MIA</td>\n",
       "      <td>2384.0</td>\n",
       "      <td>4897.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>MIN</td>\n",
       "      <td>1553.0</td>\n",
       "      <td>4700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NE</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>3392.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NO</td>\n",
       "      <td>1742.0</td>\n",
       "      <td>4225.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NYG</td>\n",
       "      <td>1874.0</td>\n",
       "      <td>3351.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NYJ</td>\n",
       "      <td>1647.0</td>\n",
       "      <td>3373.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>PHI</td>\n",
       "      <td>2232.0</td>\n",
       "      <td>4317.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>PIT</td>\n",
       "      <td>2116.0</td>\n",
       "      <td>3650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SEA</td>\n",
       "      <td>1580.0</td>\n",
       "      <td>4167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SF</td>\n",
       "      <td>2765.0</td>\n",
       "      <td>5372.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TB</td>\n",
       "      <td>1717.0</td>\n",
       "      <td>4730.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TEN</td>\n",
       "      <td>1846.0</td>\n",
       "      <td>3512.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>WAS</td>\n",
       "      <td>1592.0</td>\n",
       "      <td>4174.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Team  rushing_yards  passing_yards\n",
       "0   ARI         2365.0         3430.0\n",
       "1   ATL         2159.0         3775.0\n",
       "2   BAL         2971.0         4305.0\n",
       "3   BUF         2561.0         4695.0\n",
       "4   CAR         1769.0         3245.0\n",
       "5   CHI         2399.0         3421.0\n",
       "6   CIN         1527.0         4257.0\n",
       "7   CLE         2073.0         4318.0\n",
       "8   DAL         2043.0         5063.0\n",
       "9   DEN         1810.0         3566.0\n",
       "10  DET         2686.0         5443.0\n",
       "11   GB         2184.0         4676.0\n",
       "12  HOU         1751.0         5033.0\n",
       "13  IND         2059.0         3882.0\n",
       "14  JAX         1646.0         4377.0\n",
       "15   KC         2295.0         5434.0\n",
       "16   LA         2113.0         4667.0\n",
       "17  LAC         1642.0         4312.0\n",
       "18   LV         1542.0         3666.0\n",
       "19  MIA         2384.0         4897.0\n",
       "20  MIN         1553.0         4700.0\n",
       "21   NE         1627.0         3392.0\n",
       "22   NO         1742.0         4225.0\n",
       "23  NYG         1874.0         3351.0\n",
       "24  NYJ         1647.0         3373.0\n",
       "25  PHI         2232.0         4317.0\n",
       "26  PIT         2116.0         3650.0\n",
       "27  SEA         1580.0         4167.0\n",
       "28   SF         2765.0         5372.0\n",
       "29   TB         1717.0         4730.0\n",
       "30  TEN         1846.0         3512.0\n",
       "31  WAS         1592.0         4174.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = nfl.import_pbp_data([2023])\n",
    "total_yards = df[['posteam', 'rushing_yards', 'passing_yards']]\n",
    "total_yards = total_yards.groupby('posteam').sum()\n",
    "total_yards = total_yards.reset_index()\n",
    "total_yards = total_yards.rename(columns={'posteam' : 'Team'})\n",
    "total_yards"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bfxveA12W4YD",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:13.065502Z",
     "iopub.status.busy": "2024-06-16T12:02:13.065045Z",
     "iopub.status.idle": "2024-06-16T12:02:13.078057Z",
     "shell.execute_reply": "2024-06-16T12:02:13.077507Z"
    },
    "id": "bfxveA12W4YD",
    "outputId": "7daf9fdb-1317-481c-ca3e-afe6b5c100e4"
   },
   "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>Team</th>\n",
       "      <th>rushing_yards</th>\n",
       "      <th>passing_yards</th>\n",
       "      <th>Logo Path</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ARI</td>\n",
       "      <td>2365.0</td>\n",
       "      <td>3430.0</td>\n",
       "      <td>logos/ARI.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATL</td>\n",
       "      <td>2159.0</td>\n",
       "      <td>3775.0</td>\n",
       "      <td>logos/ATL.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BAL</td>\n",
       "      <td>2971.0</td>\n",
       "      <td>4305.0</td>\n",
       "      <td>logos/BAL.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BUF</td>\n",
       "      <td>2561.0</td>\n",
       "      <td>4695.0</td>\n",
       "      <td>logos/BUF.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CAR</td>\n",
       "      <td>1769.0</td>\n",
       "      <td>3245.0</td>\n",
       "      <td>logos/CAR.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CHI</td>\n",
       "      <td>2399.0</td>\n",
       "      <td>3421.0</td>\n",
       "      <td>logos/CHI.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CIN</td>\n",
       "      <td>1527.0</td>\n",
       "      <td>4257.0</td>\n",
       "      <td>logos/CIN.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CLE</td>\n",
       "      <td>2073.0</td>\n",
       "      <td>4318.0</td>\n",
       "      <td>logos/CLE.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DAL</td>\n",
       "      <td>2043.0</td>\n",
       "      <td>5063.0</td>\n",
       "      <td>logos/DAL.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DEN</td>\n",
       "      <td>1810.0</td>\n",
       "      <td>3566.0</td>\n",
       "      <td>logos/DEN.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DET</td>\n",
       "      <td>2686.0</td>\n",
       "      <td>5443.0</td>\n",
       "      <td>logos/DET.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>GB</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>4676.0</td>\n",
       "      <td>logos/GB.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HOU</td>\n",
       "      <td>1751.0</td>\n",
       "      <td>5033.0</td>\n",
       "      <td>logos/HOU.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>IND</td>\n",
       "      <td>2059.0</td>\n",
       "      <td>3882.0</td>\n",
       "      <td>logos/IND.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>JAX</td>\n",
       "      <td>1646.0</td>\n",
       "      <td>4377.0</td>\n",
       "      <td>logos/JAX.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>KC</td>\n",
       "      <td>2295.0</td>\n",
       "      <td>5434.0</td>\n",
       "      <td>logos/KC.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>LA</td>\n",
       "      <td>2113.0</td>\n",
       "      <td>4667.0</td>\n",
       "      <td>logos/LA.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LAC</td>\n",
       "      <td>1642.0</td>\n",
       "      <td>4312.0</td>\n",
       "      <td>logos/LAC.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LV</td>\n",
       "      <td>1542.0</td>\n",
       "      <td>3666.0</td>\n",
       "      <td>logos/LV.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MIA</td>\n",
       "      <td>2384.0</td>\n",
       "      <td>4897.0</td>\n",
       "      <td>logos/MIA.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>MIN</td>\n",
       "      <td>1553.0</td>\n",
       "      <td>4700.0</td>\n",
       "      <td>logos/MIN.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NE</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>3392.0</td>\n",
       "      <td>logos/NE.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NO</td>\n",
       "      <td>1742.0</td>\n",
       "      <td>4225.0</td>\n",
       "      <td>logos/NO.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NYG</td>\n",
       "      <td>1874.0</td>\n",
       "      <td>3351.0</td>\n",
       "      <td>logos/NYG.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NYJ</td>\n",
       "      <td>1647.0</td>\n",
       "      <td>3373.0</td>\n",
       "      <td>logos/NYJ.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>PHI</td>\n",
       "      <td>2232.0</td>\n",
       "      <td>4317.0</td>\n",
       "      <td>logos/PHI.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>PIT</td>\n",
       "      <td>2116.0</td>\n",
       "      <td>3650.0</td>\n",
       "      <td>logos/PIT.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SEA</td>\n",
       "      <td>1580.0</td>\n",
       "      <td>4167.0</td>\n",
       "      <td>logos/SEA.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SF</td>\n",
       "      <td>2765.0</td>\n",
       "      <td>5372.0</td>\n",
       "      <td>logos/SF.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TB</td>\n",
       "      <td>1717.0</td>\n",
       "      <td>4730.0</td>\n",
       "      <td>logos/TB.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TEN</td>\n",
       "      <td>1846.0</td>\n",
       "      <td>3512.0</td>\n",
       "      <td>logos/TEN.tif</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>WAS</td>\n",
       "      <td>1592.0</td>\n",
       "      <td>4174.0</td>\n",
       "      <td>logos/WAS.tif</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Team  rushing_yards  passing_yards      Logo Path\n",
       "0   ARI         2365.0         3430.0  logos/ARI.tif\n",
       "1   ATL         2159.0         3775.0  logos/ATL.tif\n",
       "2   BAL         2971.0         4305.0  logos/BAL.tif\n",
       "3   BUF         2561.0         4695.0  logos/BUF.tif\n",
       "4   CAR         1769.0         3245.0  logos/CAR.tif\n",
       "5   CHI         2399.0         3421.0  logos/CHI.tif\n",
       "6   CIN         1527.0         4257.0  logos/CIN.tif\n",
       "7   CLE         2073.0         4318.0  logos/CLE.tif\n",
       "8   DAL         2043.0         5063.0  logos/DAL.tif\n",
       "9   DEN         1810.0         3566.0  logos/DEN.tif\n",
       "10  DET         2686.0         5443.0  logos/DET.tif\n",
       "11   GB         2184.0         4676.0   logos/GB.tif\n",
       "12  HOU         1751.0         5033.0  logos/HOU.tif\n",
       "13  IND         2059.0         3882.0  logos/IND.tif\n",
       "14  JAX         1646.0         4377.0  logos/JAX.tif\n",
       "15   KC         2295.0         5434.0   logos/KC.tif\n",
       "16   LA         2113.0         4667.0   logos/LA.tif\n",
       "17  LAC         1642.0         4312.0  logos/LAC.tif\n",
       "18   LV         1542.0         3666.0   logos/LV.tif\n",
       "19  MIA         2384.0         4897.0  logos/MIA.tif\n",
       "20  MIN         1553.0         4700.0  logos/MIN.tif\n",
       "21   NE         1627.0         3392.0   logos/NE.tif\n",
       "22   NO         1742.0         4225.0   logos/NO.tif\n",
       "23  NYG         1874.0         3351.0  logos/NYG.tif\n",
       "24  NYJ         1647.0         3373.0  logos/NYJ.tif\n",
       "25  PHI         2232.0         4317.0  logos/PHI.tif\n",
       "26  PIT         2116.0         3650.0  logos/PIT.tif\n",
       "27  SEA         1580.0         4167.0  logos/SEA.tif\n",
       "28   SF         2765.0         5372.0   logos/SF.tif\n",
       "29   TB         1717.0         4730.0   logos/TB.tif\n",
       "30  TEN         1846.0         3512.0  logos/TEN.tif\n",
       "31  WAS         1592.0         4174.0  logos/WAS.tif"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.merge(total_yards, logo_df)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "lS1DT5JIXApW",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:13.080546Z",
     "iopub.status.busy": "2024-06-16T12:02:13.080172Z",
     "iopub.status.idle": "2024-06-16T12:02:13.083347Z",
     "shell.execute_reply": "2024-06-16T12:02:13.082823Z"
    },
    "id": "lS1DT5JIXApW"
   },
   "outputs": [],
   "source": [
    "def getImage(path):\n",
    "    return OffsetImage(plt.imread(path, format=\"tif\"), zoom=.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "Dx9xdqf9XDct",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "execution": {
     "iopub.execute_input": "2024-06-16T12:02:13.085730Z",
     "iopub.status.busy": "2024-06-16T12:02:13.085376Z",
     "iopub.status.idle": "2024-06-16T12:02:14.496807Z",
     "shell.execute_reply": "2024-06-16T12:02:14.496127Z"
    },
    "id": "Dx9xdqf9XDct",
    "outputId": "f2866d28-d248-4fd8-e637-e82f691b1920"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = [20, 14]\n",
    "plt.rcParams[\"figure.autolayout\"] = True\n",
    "\n",
    "x = df2['rushing_yards']\n",
    "y = df2['passing_yards']\n",
    "\n",
    "paths = df2['Logo Path']\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "for x0, y0, path in zip(x, y, paths):\n",
    "   ab = AnnotationBbox(getImage(path), (x0, y0), frameon=False)\n",
    "   ax.add_artist(ab)\n",
    "\n",
    "plt.xlim(1000, 3500)\n",
    "plt.ylim(2500, 6000)\n",
    "plt.title(\"2023 NFL Passing Vs Rushing\", fontdict={'fontsize':35});\n",
    "plt.xlabel(\"Rushing Yards\", fontdict={'fontsize':21});\n",
    "plt.ylabel(\"Passing Yards\", fontdict={'fontsize':21});\n",
    "plt.savefig(\"RushingvsPassingYards\")"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3.10.6 64-bit",
   "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": "3.10.14"
  },
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}