06 channels liverpool challange.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import footyviz\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>y</th>\n",
       "      <th>z</th>\n",
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       "    <tr>\n",
       "      <th>play</th>\n",
       "      <th>frame</th>\n",
       "      <th></th>\n",
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       "      <th rowspan=\"5\" valign=\"top\">Liverpool [3] - 0 Bournemouth</th>\n",
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      "text/plain": [
       "                                     Unnamed: 0 bgcolor        dx        dy  \\\n",
       "play                          frame                                           \n",
       "Liverpool [3] - 0 Bournemouth 0               0     NaN  0.000000  0.000000   \n",
       "                              1               1     NaN  0.185745  1.217580   \n",
       "                              2               2     NaN  0.178659  1.171133   \n",
       "                              3               3     NaN  0.171573  1.124685   \n",
       "                              4               4     NaN  0.164488  1.078238   \n",
       "\n",
       "                                    edgecolor  player  player_num team  \\\n",
       "play                          frame                                      \n",
       "Liverpool [3] - 0 Bournemouth 0           NaN       0         NaN  NaN   \n",
       "                              1           NaN       0         NaN  NaN   \n",
       "                              2           NaN       0         NaN  NaN   \n",
       "                              3           NaN       0         NaN  NaN   \n",
       "                              4           NaN       0         NaN  NaN   \n",
       "\n",
       "                                             x          y    z  \n",
       "play                          frame                             \n",
       "Liverpool [3] - 0 Bournemouth 0      46.394558  11.134454  0.0  \n",
       "                              1      46.580302  12.352034  0.0  \n",
       "                              2      46.758961  13.523166  0.0  \n",
       "                              3      46.930535  14.647852  0.0  \n",
       "                              4      47.095022  15.726090  0.0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "liverpool_data = pd.read_csv('../liverpool2019/liverpool_2019.csv',index_col=('play', 'frame'))\n",
    "liverpool_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Liverpool [3] - 0 Bournemouth</td>\n",
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       "      <td>Bayern 0 - [1] Liverpool</td>\n",
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       "      <td>15.842044</td>\n",
       "      <td>14</td>\n",
       "      <td>26.0</td>\n",
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       "      <td>28.497923</td>\n",
       "      <td>7.131785</td>\n",
       "      <td>42.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Fulham 0 - [1] Liverpool</td>\n",
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      "text/plain": [
       "   Unnamed: 0 from_team     from_x     from_y  from_frame  from_player_num  \\\n",
       "0           0    attack  46.394558  11.134454           0             10.0   \n",
       "1           1    attack  51.813185  28.611598          42              8.0   \n",
       "2           2    attack  85.565258  30.767056         108              9.0   \n",
       "3           0    attack  36.054422  68.277311          16              4.0   \n",
       "4           0    attack  47.429230  15.842044          14             26.0   \n",
       "\n",
       "  to_team       to_x       to_y  to_frame  to_player_num  \\\n",
       "0  attack  48.844160  27.191910      22.0            8.0   \n",
       "1  attack  85.565258  30.767056     108.0            9.0   \n",
       "2  attack  86.219036  33.236389     118.0           11.0   \n",
       "3  attack  82.955888  73.003584      78.0           10.0   \n",
       "4  attack  28.497923   7.131785      42.0           10.0   \n",
       "\n",
       "                            play  \n",
       "0  Liverpool [3] - 0 Bournemouth  \n",
       "1  Liverpool [3] - 0 Bournemouth  \n",
       "2  Liverpool [3] - 0 Bournemouth  \n",
       "3       Bayern 0 - [1] Liverpool  \n",
       "4       Fulham 0 - [1] Liverpool  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "liverpool_passes = pd.read_csv('../liverpool2019/liverpool_2019_passes.csv')\n",
    "liverpool_passes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Liverpool [3] - 0 Bournemouth', 'Bayern 0 - [1] Liverpool',\n",
       "       'Fulham 0 - [1] Liverpool', 'Southampton 1 - [2] Liverpool',\n",
       "       'Liverpool [2] - 0 Porto', 'Porto 0 - [2] Liverpool',\n",
       "       'Liverpool [4] - 0 Barcelona', 'Liverpool [1] - 0 Wolves',\n",
       "       'Liverpool [3] - 0 Norwich', 'Liverpool [2] - 1 Chelsea',\n",
       "       'Liverpool [2] - 1 Newcastle', 'Liverpool [2] - 0 Salzburg',\n",
       "       'Genk 0 - [3] Liverpool', 'Liverpool [2] - 0 Man City',\n",
       "       'Liverpool [1] - 0 Everton', 'Liverpool [2] - 0 Everton',\n",
       "       'Bournemouth 0 - 3 Liverpool', 'Liverpool [1] - 0 Watford',\n",
       "       'Leicester 0 - [3] Liverpool'],\n",
       "      dtype='object', name='play')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#list of goals included in the dataset\n",
    "liverpool_data.index.get_level_values('play').unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "       Unnamed: 0 bgcolor        dx        dy edgecolor  player  player_num  \\\n",
       "frame                                                                         \n",
       "134          2775     red  0.053492  0.002798     white   24771         NaN   \n",
       "135          2776     red  0.047360  0.003669     white   24771         NaN   \n",
       "136          2777     red  0.041016  0.004583     white   24771         NaN   \n",
       "137          2778     red  0.034459  0.005541     white   24771         NaN   \n",
       "138          2779     red  0.027689  0.006542     white   24771         NaN   \n",
       "\n",
       "         team          x          y    z  \n",
       "frame                                     \n",
       "134    attack  81.482130  56.912439  0.0  \n",
       "135    attack  81.529490  56.916108  0.0  \n",
       "136    attack  81.570506  56.920691  0.0  \n",
       "137    attack  81.604964  56.926231  0.0  \n",
       "138    attack  81.632653  56.932773  0.0  "
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     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "play = 'Liverpool [4] - 0 Barcelona'\n",
    "df = liverpool_data.loc[play]\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1280x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax, dfFrame = footyviz.draw_frame(df, t=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1280x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax, dfFrame = footyviz.draw_frame(df, t=4)\n",
    "fig, ax, dfFrame = footyviz.add_voronoi_to_fig(fig, ax, dfFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1280x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#you can mix different frames for the player's positioning and for the voronoi (e.g. fixing the voronoi to the time of the pass)\n",
    "fig, ax, dfFrame = footyviz.draw_frame(df, t=5)\n",
    "dfFrame_for_voronoi = footyviz.get_frame(df, t=4)\n",
    "fig, ax, dfFrame = footyviz.add_voronoi_to_fig(fig, ax, dfFrame_for_voronoi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "t:   9%|▉         | 13/138 [06:25<00:20,  6.19it/s, now=None]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Moviepy - Building video __temp__.mp4.\n",
      "Moviepy - Writing video __temp__.mp4\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": []
    },
    {
     "ename": "MemoryError",
     "evalue": "In RendererAgg: Out of memory",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mMemoryError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_25032/627504296.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[0mclip\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmake_animation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     19\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 20\u001b[1;33m \u001b[0mclip\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mipython_display\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     21\u001b[0m \u001b[0mclip\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite_videofile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"../outputs/TrentOrigi.mp4\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\video\\io\\html_tools.py\u001b[0m in \u001b[0;36mipython_display\u001b[1;34m(clip, filetype, maxduration, t, fps, rd_kwargs, center, **html_kwargs)\u001b[0m\n\u001b[0;32m    219\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    220\u001b[0m     return HTML2(html_embed(clip, filetype=filetype, maxduration=maxduration,\n\u001b[1;32m--> 221\u001b[1;33m                 center=center, rd_kwargs=rd_kwargs, **html_kwargs))\n\u001b[0m",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\video\\io\\html_tools.py\u001b[0m in \u001b[0;36mhtml_embed\u001b[1;34m(clip, filetype, maxduration, rd_kwargs, center, **html_kwargs)\u001b[0m\n\u001b[0;32m     96\u001b[0m             \u001b[0mkwargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;34m'filename'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'verbose'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'preset'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;34m'ultrafast'\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     97\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrd_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 98\u001b[1;33m             \u001b[0mclip\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite_videofile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     99\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclip\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mAudioClip\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    100\u001b[0m             \u001b[0mfilename\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTEMP_PREFIX\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m\".mp3\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<decorator-gen-172>\u001b[0m in \u001b[0;36mwrite_videofile\u001b[1;34m(self, filename, fps, codec, bitrate, audio, audio_fps, preset, audio_nbytes, audio_codec, audio_bitrate, audio_bufsize, temp_audiofile, rewrite_audio, remove_temp, write_logfile, verbose, threads, ffmpeg_params, logger)\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\decorators.py\u001b[0m in \u001b[0;36mrequires_duration\u001b[1;34m(f, clip, *a, **k)\u001b[0m\n\u001b[0;32m     52\u001b[0m         \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Attribute 'duration' not set\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     53\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 54\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclip\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     55\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     56\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<decorator-gen-171>\u001b[0m in \u001b[0;36mwrite_videofile\u001b[1;34m(self, filename, fps, codec, bitrate, audio, audio_fps, preset, audio_nbytes, audio_codec, audio_bitrate, audio_bufsize, temp_audiofile, rewrite_audio, remove_temp, write_logfile, verbose, threads, ffmpeg_params, logger)\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\decorators.py\u001b[0m in \u001b[0;36muse_clip_fps_by_default\u001b[1;34m(f, clip, *a, **k)\u001b[0m\n\u001b[0;32m    133\u001b[0m              for (k,v) in k.items()}\n\u001b[0;32m    134\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclip\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0mnew_a\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mnew_kw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<decorator-gen-170>\u001b[0m in \u001b[0;36mwrite_videofile\u001b[1;34m(self, filename, fps, codec, bitrate, audio, audio_fps, preset, audio_nbytes, audio_codec, audio_bitrate, audio_bufsize, temp_audiofile, rewrite_audio, remove_temp, write_logfile, verbose, threads, ffmpeg_params, logger)\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\decorators.py\u001b[0m in \u001b[0;36mconvert_masks_to_RGB\u001b[1;34m(f, clip, *a, **k)\u001b[0m\n\u001b[0;32m     20\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mclip\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mismask\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     21\u001b[0m         \u001b[0mclip\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclip\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_RGB\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 22\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclip\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     23\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     24\u001b[0m \u001b[1;33m@\u001b[0m\u001b[0mdecorator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecorator\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\video\\VideoClip.py\u001b[0m in \u001b[0;36mwrite_videofile\u001b[1;34m(self, filename, fps, codec, bitrate, audio, audio_fps, preset, audio_nbytes, audio_codec, audio_bitrate, audio_bufsize, temp_audiofile, rewrite_audio, remove_temp, write_logfile, verbose, threads, ffmpeg_params, logger)\u001b[0m\n\u001b[0;32m    305\u001b[0m                            \u001b[0mverbose\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mverbose\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mthreads\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mthreads\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    306\u001b[0m                            \u001b[0mffmpeg_params\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mffmpeg_params\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 307\u001b[1;33m                            logger=logger)\n\u001b[0m\u001b[0;32m    308\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    309\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mremove_temp\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mmake_audio\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\video\\io\\ffmpeg_writer.py\u001b[0m in \u001b[0;36mffmpeg_write_video\u001b[1;34m(clip, filename, fps, codec, bitrate, preset, withmask, write_logfile, audiofile, verbose, threads, ffmpeg_params, logger)\u001b[0m\n\u001b[0;32m    219\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    220\u001b[0m         for t,frame in clip.iter_frames(logger=logger, with_times=True,\n\u001b[1;32m--> 221\u001b[1;33m                                         fps=fps, dtype=\"uint8\"):\n\u001b[0m\u001b[0;32m    222\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mwithmask\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    223\u001b[0m                 \u001b[0mmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mclip\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_frame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\Clip.py\u001b[0m in \u001b[0;36miter_frames\u001b[1;34m(self, fps, with_times, logger, dtype)\u001b[0m\n\u001b[0;32m    470\u001b[0m         \u001b[0mlogger\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mproglog\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdefault_bar_logger\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlogger\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    471\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mlogger\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miter_bar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mduration\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[0mfps\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 472\u001b[1;33m             \u001b[0mframe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_frame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    473\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtype\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    474\u001b[0m                 \u001b[0mframe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mframe\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<decorator-gen-128>\u001b[0m in \u001b[0;36mget_frame\u001b[1;34m(self, t)\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(f, *a, **kw)\u001b[0m\n\u001b[0;32m     87\u001b[0m         new_kw = {k: fun(v) if k in varnames else v\n\u001b[0;32m     88\u001b[0m                  for (k,v) in kw.items()}\n\u001b[1;32m---> 89\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mnew_a\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mnew_kw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     90\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mdecorator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecorator\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwrapper\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     91\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\Clip.py\u001b[0m in \u001b[0;36mget_frame\u001b[1;34m(self, t)\u001b[0m\n\u001b[0;32m     91\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mframe\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     92\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 93\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmake_frame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     94\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     95\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mfl\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfun\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mapply_to\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkeep_duration\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_25032/627504296.py\u001b[0m in \u001b[0;36m<lambda>\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m     13\u001b[0m     \u001b[1;31m#calculated variables\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     14\u001b[0m     \u001b[0mlength\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m/\u001b[0m\u001b[0mfps\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 15\u001b[1;33m     \u001b[0mclip\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mVideoClip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mdraw_frame_x\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mt\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfps\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvoronoi\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvoronoi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mduration\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlength\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_fps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfps\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     16\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mclip\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_25032/627504296.py\u001b[0m in \u001b[0;36mdraw_frame_x\u001b[1;34m(df, t, fps, voronoi)\u001b[0m\n\u001b[0;32m      6\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mvoronoi\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m         \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdfFrame\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfootyviz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_voronoi_to_fig\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdfFrame\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m     \u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmplfig_to_npimage\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      9\u001b[0m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mimage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\moviepy\\video\\io\\bindings.py\u001b[0m in \u001b[0;36mmplfig_to_npimage\u001b[1;34m(fig)\u001b[0m\n\u001b[0;32m     21\u001b[0m     \u001b[1;32mfrom\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbackends\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbackend_agg\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mFigureCanvasAgg\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     22\u001b[0m     \u001b[0mcanvas\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mFigureCanvasAgg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 23\u001b[1;33m     \u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# update/draw the elements\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     24\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     25\u001b[0m     \u001b[1;31m# get the width and the height to resize the matrix\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36mdraw\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    429\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    430\u001b[0m         \u001b[1;31m# docstring inherited\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 431\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrenderer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_renderer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcleared\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    432\u001b[0m         \u001b[1;31m# Acquire a lock on the shared font cache.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    433\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mRendererAgg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlock\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36mget_renderer\u001b[1;34m(self, cleared)\u001b[0m\n\u001b[0;32m    445\u001b[0m                           and getattr(self, \"_lastKey\", None) == key)\n\u001b[0;32m    446\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mreuse_renderer\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 447\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrenderer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mRendererAgg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mw\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mh\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdpi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    448\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lastKey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    449\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mcleared\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, width, height, dpi)\u001b[0m\n\u001b[0;32m     91\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwidth\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwidth\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     92\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mheight\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mheight\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 93\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_renderer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_RendererAgg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwidth\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mheight\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     94\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_filter_renderers\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     95\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMemoryError\u001b[0m: In RendererAgg: Out of memory"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1280x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from moviepy import editor as mpy\n",
    "from moviepy.video.io.bindings import mplfig_to_npimage\n",
    "\n",
    "def draw_frame_x(df, t, fps, voronoi=False):\n",
    "    fig,ax,dfFrame = footyviz.draw_frame(df, t=t, fps=fps)\n",
    "    if voronoi:\n",
    "        fig, ax, dfFrame = footyviz.add_voronoi_to_fig(fig, ax, dfFrame)\n",
    "    image = mplfig_to_npimage(fig)\n",
    "    plt.close()\n",
    "    return image    \n",
    "\n",
    "def make_animation(df, fps=20, voronoi=False):\n",
    "    #calculated variables\n",
    "    length=(df.index.max()+20)/fps\n",
    "    clip = mpy.VideoClip(lambda x: draw_frame_x(df, t=x, fps=fps, voronoi=voronoi), duration=length-1).set_fps(fps)\n",
    "    return clip\n",
    "\n",
    "clip = make_animation(df)\n",
    "\n",
    "clip.ipython_display()\n",
    "clip.write_videofile(\"../outputs/TrentOrigi.mp4\")"
   ]
  }
 ],
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