paul-overhead-validation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import re\n",
    "\n",
    "def create_dataframe(file_path):\n",
    "    df = pd.read_csv(file_path)\n",
    "\n",
    "    df['device'] = file_path.split('\\\\')[1]\n",
    "    df['app'] = file_path.split('\\\\')[2].strip('-W')\n",
    "    df['app_details'] = file_path.split('\\\\')[3]\n",
    "    df['type'] = file_path.split('\\\\')[5]\n",
    "\n",
    "    df.to_csv(f'.\\\\{file_path.strip(\".log\")}.csv', index=False)\n",
    "\n",
    "    return df\n",
    "\n",
    "def process_host_gpu():\n",
    "    df_aggregated = pd.DataFrame()\n",
    "    for root, dirs, files in os.walk(\".\", topdown=False):\n",
    "        for name in files:\n",
    "            if name == 'host_gpu_metrics.log':\n",
    "                print(os.path.join(root, name))\n",
    "                df_aggregated = pd.concat([df_aggregated, create_dataframe(os.path.join(root, name))]) \n",
    "    # df_aggregated\n",
    "    return df_aggregated\n",
    "\n",
    "def process_host_sys():\n",
    "    df_aggregated = pd.DataFrame()\n",
    "    for root, dirs, files in os.walk(\".\", topdown=False):\n",
    "        for name in files:\n",
    "            if name == 'host_sys_metrics.log':\n",
    "                print(os.path.join(root, name))\n",
    "                df_aggregated = pd.concat([df_aggregated, create_dataframe(os.path.join(root, name))]) \n",
    "    # df_aggregated\n",
    "    return df_aggregated\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      ".\\clumsy-bandwidth-100Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-100Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-100Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-100Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\record1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-100Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-100Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-100Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\record1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\record1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-30Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
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      ".\\clumsy-bandwidth-50Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-50Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-80Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\record1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-80Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-80Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-80Mbps\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
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      ".\\clumsy-bandwidth-80Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\clumsy-bandwidth-80Mbps\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
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      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay0.7\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay0.8\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay0.9\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.3\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.4\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.5\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.6\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.7\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.8\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay1.9\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.3\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.4\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.5\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.6\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.7\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.8\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-2\\BeatSaber\\PopStars-Medium\\replay2.9\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\baseline0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\baseline1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\baseline2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\record0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\record1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\record2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.3\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.4\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.5\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.6\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.7\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.8\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay0.9\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.3\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.4\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.5\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.6\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.7\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.8\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay1.9\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.0\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.1\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.2\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.3\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.4\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.5\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.6\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.7\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.8\\host_sys_metrics.log\n",
      ".\\overhead-validation\\Quest-Pro\\BeatSaber\\PopStars-Medium\\replay2.9\\host_sys_metrics.log\n",
      "                timestamp net.bytes_sent.Bluetooth Network Connection  \\\n",
      "0    1702654498444.103027                                           0   \n",
      "1    1702654499442.875488                                           0   \n",
      "2    1702654500444.811035                                           0   \n",
      "3    1702654501439.778809                                           0   \n",
      "4    1702654502442.970215                                           0   \n",
      "..                    ...                                         ...   \n",
      "244  1702675414477.604736                                           0   \n",
      "245  1702675415486.577148                                           0   \n",
      "246  1702675416474.785889                                           0   \n",
      "247  1702675417489.346436                                           0   \n",
      "248  1702675418476.308105                                           0   \n",
      "\n",
      "    net.bytes_recv.Bluetooth Network Connection  \\\n",
      "0                                             0   \n",
      "1                                             0   \n",
      "2                                             0   \n",
      "3                                             0   \n",
      "4                                             0   \n",
      "..                                          ...   \n",
      "244                                           0   \n",
      "245                                           0   \n",
      "246                                           0   \n",
      "247                                           0   \n",
      "248                                           0   \n",
      "\n",
      "    net.packets_sent.Bluetooth Network Connection  \\\n",
      "0                                               0   \n",
      "1                                               0   \n",
      "2                                               0   \n",
      "3                                               0   \n",
      "4                                               0   \n",
      "..                                            ...   \n",
      "244                                             0   \n",
      "245                                             0   \n",
      "246                                             0   \n",
      "247                                             0   \n",
      "248                                             0   \n",
      "\n",
      "    net.packets_recv.Bluetooth Network Connection  \\\n",
      "0                                               0   \n",
      "1                                               0   \n",
      "2                                               0   \n",
      "3                                               0   \n",
      "4                                               0   \n",
      "..                                            ...   \n",
      "244                                             0   \n",
      "245                                             0   \n",
      "246                                             0   \n",
      "247                                             0   \n",
      "248                                             0   \n",
      "\n",
      "    net.errin.Bluetooth Network Connection  \\\n",
      "0                                        0   \n",
      "1                                        0   \n",
      "2                                        0   \n",
      "3                                        0   \n",
      "4                                        0   \n",
      "..                                     ...   \n",
      "244                                      0   \n",
      "245                                      0   \n",
      "246                                      0   \n",
      "247                                      0   \n",
      "248                                      0   \n",
      "\n",
      "    net.errout.Bluetooth Network Connection  \\\n",
      "0                                         0   \n",
      "1                                         0   \n",
      "2                                         0   \n",
      "3                                         0   \n",
      "4                                         0   \n",
      "..                                      ...   \n",
      "244                                       0   \n",
      "245                                       0   \n",
      "246                                       0   \n",
      "247                                       0   \n",
      "248                                       0   \n",
      "\n",
      "    net.dropin.Bluetooth Network Connection  \\\n",
      "0                                         0   \n",
      "1                                         0   \n",
      "2                                         0   \n",
      "3                                         0   \n",
      "4                                         0   \n",
      "..                                      ...   \n",
      "244                                       0   \n",
      "245                                       0   \n",
      "246                                       0   \n",
      "247                                       0   \n",
      "248                                       0   \n",
      "\n",
      "    net.dropout.Bluetooth Network Connection net.bytes_sent.Ethernet  ...  \\\n",
      "0                                          0              4385001804  ...   \n",
      "1                                          0              4395904354  ...   \n",
      "2                                          0              4406428411  ...   \n",
      "3                                          0              4417178720  ...   \n",
      "4                                          0              4428094582  ...   \n",
      "..                                       ...                     ...  ...   \n",
      "244                                        0                       0  ...   \n",
      "245                                        0                       0  ...   \n",
      "246                                        0                       0  ...   \n",
      "247                                        0                       0  ...   \n",
      "248                                        0                       0  ...   \n",
      "\n",
      "    net.dropin.Local Area Connection* 10  \\\n",
      "0                                    NaN   \n",
      "1                                    NaN   \n",
      "2                                    NaN   \n",
      "3                                    NaN   \n",
      "4                                    NaN   \n",
      "..                                   ...   \n",
      "244                                  0.0   \n",
      "245                                  0.0   \n",
      "246                                  0.0   \n",
      "247                                  0.0   \n",
      "248                                  0.0   \n",
      "\n",
      "    net.dropout.Local Area Connection* 10  \\\n",
      "0                                     NaN   \n",
      "1                                     NaN   \n",
      "2                                     NaN   \n",
      "3                                     NaN   \n",
      "4                                     NaN   \n",
      "..                                    ...   \n",
      "244                                   0.0   \n",
      "245                                   0.0   \n",
      "246                                   0.0   \n",
      "247                                   0.0   \n",
      "248                                   0.0   \n",
      "\n",
      "    net.bytes_sent.Local Area Connection* 9  \\\n",
      "0                                       NaN   \n",
      "1                                       NaN   \n",
      "2                                       NaN   \n",
      "3                                       NaN   \n",
      "4                                       NaN   \n",
      "..                                      ...   \n",
      "244                                     0.0   \n",
      "245                                     0.0   \n",
      "246                                     0.0   \n",
      "247                                     0.0   \n",
      "248                                     0.0   \n",
      "\n",
      "    net.bytes_recv.Local Area Connection* 9  \\\n",
      "0                                       NaN   \n",
      "1                                       NaN   \n",
      "2                                       NaN   \n",
      "3                                       NaN   \n",
      "4                                       NaN   \n",
      "..                                      ...   \n",
      "244                                     0.0   \n",
      "245                                     0.0   \n",
      "246                                     0.0   \n",
      "247                                     0.0   \n",
      "248                                     0.0   \n",
      "\n",
      "    net.packets_sent.Local Area Connection* 9  \\\n",
      "0                                         NaN   \n",
      "1                                         NaN   \n",
      "2                                         NaN   \n",
      "3                                         NaN   \n",
      "4                                         NaN   \n",
      "..                                        ...   \n",
      "244                                       0.0   \n",
      "245                                       0.0   \n",
      "246                                       0.0   \n",
      "247                                       0.0   \n",
      "248                                       0.0   \n",
      "\n",
      "    net.packets_recv.Local Area Connection* 9  \\\n",
      "0                                         NaN   \n",
      "1                                         NaN   \n",
      "2                                         NaN   \n",
      "3                                         NaN   \n",
      "4                                         NaN   \n",
      "..                                        ...   \n",
      "244                                       0.0   \n",
      "245                                       0.0   \n",
      "246                                       0.0   \n",
      "247                                       0.0   \n",
      "248                                       0.0   \n",
      "\n",
      "    net.errin.Local Area Connection* 9 net.errout.Local Area Connection* 9  \\\n",
      "0                                  NaN                                 NaN   \n",
      "1                                  NaN                                 NaN   \n",
      "2                                  NaN                                 NaN   \n",
      "3                                  NaN                                 NaN   \n",
      "4                                  NaN                                 NaN   \n",
      "..                                 ...                                 ...   \n",
      "244                                0.0                                 0.0   \n",
      "245                                0.0                                 0.0   \n",
      "246                                0.0                                 0.0   \n",
      "247                                0.0                                 0.0   \n",
      "248                                0.0                                 0.0   \n",
      "\n",
      "    net.dropin.Local Area Connection* 9 net.dropout.Local Area Connection* 9  \n",
      "0                                   NaN                                  NaN  \n",
      "1                                   NaN                                  NaN  \n",
      "2                                   NaN                                  NaN  \n",
      "3                                   NaN                                  NaN  \n",
      "4                                   NaN                                  NaN  \n",
      "..                                  ...                                  ...  \n",
      "244                                 0.0                                  0.0  \n",
      "245                                 0.0                                  0.0  \n",
      "246                                 0.0                                  0.0  \n",
      "247                                 0.0                                  0.0  \n",
      "248                                 0.0                                  0.0  \n",
      "\n",
      "[56525 rows x 90 columns]\n"
     ]
    }
   ],
   "source": [
    "cpu_df = process_host_sys()\n",
    "gpu_df = process_host_gpu()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Paul\\AppData\\Local\\Temp\\ipykernel_8152\\1682654775.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  temp['load'] = temp['load'].apply(str)\n",
      "C:\\Users\\Paul\\AppData\\Local\\Temp\\ipykernel_8152\\1682654775.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  temp['load'] = temp['load'].apply(float)\n",
      "C:\\Users\\Paul\\AppData\\Local\\Temp\\ipykernel_8152\\1682654775.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  temp['type'] = temp['type'].apply(simplify_runs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'gpu util'), Text(0.5, 0, 'Quest-2')]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def simplify_runs(row) :\n",
    "    if \"baseline\" in row:\n",
    "        return 'baseline'\n",
    "    elif \"replay\" in row:\n",
    "        return 'replay'\n",
    "    else :\n",
    "        return 'record'\n",
    "\n",
    "\n",
    "\n",
    "temp = gpu_df[gpu_df[\"device\"] == 'overhead-validation']\n",
    "temp.drop(temp[temp['load'] == 'load'].index)\n",
    "\n",
    "temp['load'] = temp['load'].apply(str)\n",
    "\n",
    "temp['load'] = temp['load'].apply(float)\n",
    "\n",
    "temp['type'] = temp['type'].apply(simplify_runs)\n",
    "\n",
    "pro = temp[temp['app'] == 'Quest-Pro']\n",
    "two = temp[temp['app'] == 'Quest-2']\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(8, 5))\n",
    "\n",
    "sns.set_theme(palette='deep')\n",
    "sns.violinplot(ax=axes[0], data=pro, x='type', y='load')\n",
    "sns.violinplot(ax=axes[1], data=two, x='type', y='load')\n",
    "\n",
    "axes[0].set(ylabel='gpu util', xlabel='Quest-Pro')\n",
    "axes[1].set(ylabel='gpu util', xlabel='Quest-2')\n",
    "\n"
   ]
  }
 ],
 "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": "3.10.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}