{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "xml = openbm.xml2df()\n",
    "search_string = 'RX 470'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os.path import join as pjoin\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns # seaborn is only used for its plotting layout configuration\n",
    "%matplotlib inline\n",
    "import openbenchmarking as openbm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you are new to Python or to some of the packages that are being imported below: they are part of the standard stack often used in data science and science/engineering environments. Some of these dependencies are Python packages with compiled extensions, but there are Python distributions with binary packages availble which make installing SciPy stack a breeze. Alternatively, Linux distributions contain usually (most) of these dependencies.\n",
    "* [SciPy Stack](http://scipy.org/)\n",
    "* [Various installation procedures](http://scipy.org/install.html)\n",
    "\n",
    "Dependencies:\n",
    "* lxml, numpy, pandas, matplotlib, seaborn (optionall), openpyxl (optionally, for saving DataFrame to Excel sheet)\n",
    "\n",
    "The plots layout is quite basic for this example. With a few more tweaks anything is possibile thanks to the extensibility of the underlying plotting library Matplotlib.\n",
    "\n",
    "Other advantage of using Python: availability of interactive HTML5 plotting tools, such as:\n",
    "* [Matplotlib + D3](http://mpld3.github.io/)\n",
    "* [plotly](https://plot.ly/python/)\n",
    "* [bokeh](http://bokeh.pydata.org/en/latest/)\n",
    "* [holoviews](http://holoviews.org/)\n",
    "* [pygal](http://www.pygal.org/en/stable/)\n",
    "\n",
    "I have not used these packages yet, so an example with interactive plot might come at some other point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this might take a minute...\n",
    "df = openbm.download_from_openbm(search_string)\n",
    "\n",
    "# for this example we'll just save the DataFramee in a text based csv file\n",
    "df.to_csv('search_{}.csv'.format(search_string))\n",
    "\n",
    "# hdf5 is a fast storage format that can handle very large data sets\n",
    "#df.to_hdf('search_{}.h5'.format(search_string), 'table')\n",
    "#df.to_excel('search_{}.xlsx'.format(search_string))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we will use the search function on the OpenBenchMarking.org webpage. The ```download_from_openbm``` simply gets all the test id's from the search result as you can find here: [http://openbenchmarking.org/s/RX%20470&show_more](http://openbenchmarking.org/s/RX%20470&show_more), and downloads all the XML result files, converts them into a ```pands.DataFrame```, and merges them into one big table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load previously donwload data\n",
    "df = pd.read_csv('search_{}.csv'.format(search_string))\n",
    "# optionally, in either Excel or hdf5 format this would be:\n",
    "#df = pd.read_hdf('search_{}.h5'.format(search_string), 'table')\n",
    "#df = pd.read_excel('search_{}.xlsx'.format(search_string))\n",
    "\n",
    "df.drop(xml.user_cols, inplace=True, axis=1)\n",
    "df.drop_duplicates(inplace=True)\n",
    "\n",
    "# only R470 graphic cards\n",
    "res_find = df['Graphics'].str.lower().str.find('rx 470')\n",
    "# grp_lwr holds -1 for entries that do not contain the search string\n",
    "# we are only interested in taking the indeces of those entries that do\n",
    "# contain our search term, so antyhing above -1\n",
    "df_find = df.loc[(res_find > -1).values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  134 : None\n",
      "   13 : pts/bioshock-infinite-1.0.1\n",
      "    3 : pts/c-ray-1.1.0\n",
      "    1 : pts/compress-7zip-1.6.2\n",
      "   23 : pts/csgo-1.4.1\n",
      "   12 : pts/deus-exmd-1.0.1\n",
      "   63 : pts/dota2-1.2.1\n",
      "   10 : pts/etlegacy-1.0.0\n",
      "    2 : pts/financebench-1.0.0\n",
      "   60 : pts/gputest-1.3.1\n",
      "    2 : pts/iozone-1.8.0\n",
      "    8 : pts/lightsmark-1.2.0\n",
      "    4 : pts/luxmark-1.1.0\n",
      "    6 : pts/metroll-redux-1.1.1\n",
      "    9 : pts/metroll-redux-1.2.0\n",
      "    5 : pts/mixbench-1.0.0\n",
      "    1 : pts/nexuiz-1.6.1\n",
      "   26 : pts/openarena-1.5.3\n",
      "   10 : pts/ramspeed-1.4.0\n",
      "   17 : pts/shoc-1.0.1\n",
      "    1 : pts/supertuxkart-1.3.0\n",
      "    1 : pts/talos-principle-1.1.1\n",
      "   37 : pts/tesseract-1.1.0\n",
      "   20 : pts/unigine-heaven-1.6.2\n",
      "   28 : pts/unigine-valley-1.1.4\n",
      "   40 : pts/xonotic-1.4.0\n",
      "    6 : system/darktable-1.0.0\n",
      "\n",
      "    1 : pts/talos-principle-1.1.1\n",
      "            1 : Renderer: OpenGL - Resolution: 1920 x 1080\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "    1 : pts/compress-7zip-1.6.2\n",
      "            1 : Compress Speed Test\n",
      "                    1 :  AMD FX-8120 Eight-Core @ 4.14GHz (8 Cores)\n",
      "\n",
      "    1 : pts/supertuxkart-1.3.0\n",
      "            1 : Resolution: 3840 x 2160\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.40GHz (8 Cores)\n",
      "\n",
      "    1 : pts/nexuiz-1.6.1\n",
      "            1 : Resolution: 3840 x 2160 - HDR: Yes - Sound: On\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.40GHz (8 Cores)\n",
      "\n",
      "    2 : pts/financebench-1.0.0\n",
      "            1 : Benchmark: Black-Scholes OpenCL\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Benchmark: Monte-Carlo OpenCL\n",
      "                    1 :  Intel Core i5-4670K @ 4.20GHz (4 Cores)\n",
      "\n",
      "    2 : pts/iozone-1.8.0\n",
      "            1 : Record Size: 1MB - File Size: 4GB - Disk Test: Read Performance\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.00GHz (8 Cores)\n",
      "            1 : Record Size: 1MB - File Size: 4GB - Disk Test: Write Performance\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.00GHz (8 Cores)\n",
      "\n",
      "    3 : pts/c-ray-1.1.0\n",
      "            3 : Total Time\n",
      "                    1 :  AMD FX-8120 Eight-Core @ 4.14GHz (8 Cores)\n",
      "                    2 :  AMD FX-8350 Eight-Core @ 4.40GHz (8 Cores)\n",
      "\n",
      "    4 : pts/luxmark-1.1.0\n",
      "            2 : OpenCL Device: GPU - Scene: Luxball HDR\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : OpenCL Device: GPU - Scene: Microphone\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "    5 : pts/mixbench-1.0.0\n",
      "            1 : Benchmark: Double Precision\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            2 : Benchmark: Integer\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Benchmark: Single Precision\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "    6 : pts/metroll-redux-1.1.1\n",
      "            1 : Phoronix Test Suite v6.6.0\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Phoronix Test Suite v6.6.1\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 3840 x 2160\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "    6 : system/darktable-1.0.0\n",
      "            2 : Test: Boat - Acceleration: OpenCL\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Test: Masskrug - Acceleration: OpenCL\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Test: Server Room - Acceleration: OpenCL\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "    8 : pts/lightsmark-1.2.0\n",
      "            8 : Resolution: 1920 x 1080\n",
      "                    8 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "\n",
      "    9 : pts/metroll-redux-1.2.0\n",
      "            6 : Resolution: 1920 x 1080\n",
      "                    6 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 2560 x 1600\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 3840 x 2160\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   10 : pts/etlegacy-1.0.0\n",
      "            1 : Renderer: Default - Resolution: 1920 x 1080\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Renderer: Default - Resolution: 1920 x 1200\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Renderer: Default - Resolution: 3840 x 2160\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Renderer: Renderer2 - Resolution: 1920 x 1080\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Renderer: Renderer2 - Resolution: 1920 x 1200\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            5 : Renderer: Renderer2 - Resolution: 3840 x 2160\n",
      "                    5 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   10 : pts/ramspeed-1.4.0\n",
      "            1 : Type: Add - Benchmark: Floating Point\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Add - Benchmark: Integer\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Average - Benchmark: Floating Point\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Average - Benchmark: Integer\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Copy - Benchmark: Floating Point\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Copy - Benchmark: Integer\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Scale - Benchmark: Floating Point\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Scale - Benchmark: Integer\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Triad - Benchmark: Floating Point\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Type: Triad - Benchmark: Integer\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "\n",
      "   12 : pts/deus-exmd-1.0.1\n",
      "            3 : Preset: 1920 x 1080 - High Quality\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Preset: 1920 x 1080 - Low Quality\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Preset: 1920 x 1080 - Ultra Quality\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Preset: 2560 x 1440 - High Quality\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Preset: 3840 x 2160 - Low Quality\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   13 : pts/bioshock-infinite-1.0.1\n",
      "            8 : Resolution: 1920 x 1080 - Effects Quality: Ultra\n",
      "                    8 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1920 x 1200 - Effects Quality: Ultra\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 2560 x 1600 - Effects Quality: Ultra\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 3840 x 2160 - Effects Quality: Ultra\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   17 : pts/shoc-1.0.1\n",
      "            2 : Target: OpenCL - Benchmark: Bus Speed Download\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Target: OpenCL - Benchmark: Bus Speed Readback\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Target: OpenCL - Benchmark: FFT SP\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Target: OpenCL - Benchmark: MD5 Hash\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Target: OpenCL - Benchmark: Max SP Flops\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Target: OpenCL - Benchmark: Texture Read Bandwidth\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Target: OpenCL - Benchmark: Triad\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   20 : pts/unigine-heaven-1.6.2\n",
      "           19 : Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    8 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                   11 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1920 x 1080 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "\n",
      "   23 : pts/csgo-1.4.1\n",
      "            8 : Resolution: 1920 x 1080\n",
      "                    8 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           15 : Resolution: 3840 x 2160\n",
      "                   15 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   26 : pts/openarena-1.5.3\n",
      "            1 : Resolution: 1024 x 768\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 1024\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 800\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1400 x 1050\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1600 x 1200\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1600 x 900\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1680 x 1050\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           15 : Resolution: 1920 x 1080\n",
      "                   10 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                    5 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 1920 x 1200\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 3840 x 2160\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 800 x 600\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   28 : pts/unigine-valley-1.1.4\n",
      "            1 : Resolution: 1024 x 768 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Resolution: 1280 x 1024 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Resolution: 1280 x 800 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Resolution: 1440 x 900 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Resolution: 1600 x 900 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Resolution: 1680 x 1050 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "           15 : Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    1 :  AMD Phenom II X4 965 @ 3.80GHz (4 Cores)\n",
      "                   10 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Resolution: 1920 x 1080 - Mode: Windowed\n",
      "                    2 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            3 : Resolution: 3840 x 2160 - Mode: Fullscreen\n",
      "                    2 :  AMD FX-8350 Eight-Core @ 4.00GHz (8 Cores)\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.40GHz (8 Cores)\n",
      "            1 : Resolution: 800 x 600 - Mode: Windowed\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "\n",
      "   37 : pts/tesseract-1.1.0\n",
      "            1 : Resolution: 1024 x 768\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 1024\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 800\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1400 x 1050\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1600 x 1200\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1600 x 900\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1680 x 1050\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           12 : Resolution: 1920 x 1080\n",
      "                    9 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 1920 x 1200\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           15 : Resolution: 3840 x 2160\n",
      "                   15 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 800 x 600\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   40 : pts/xonotic-1.4.0\n",
      "            1 : Resolution: 1920 x 1080 - Effects Quality: High\n",
      "                    1 :  Intel Core i7-3930K @ 5.70GHz (12 Cores)\n",
      "            1 : Resolution: 1920 x 1080 - Effects Quality: Low\n",
      "                    1 :  Intel Core i7-3930K @ 5.70GHz (12 Cores)\n",
      "           12 : Resolution: 1920 x 1080 - Effects Quality: Ultimate\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.00GHz (8 Cores)\n",
      "                    9 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                    1 :  Intel Core i7-3930K @ 5.70GHz (12 Cores)\n",
      "                    1 :  Intel Pentium G3258 @ 4.60GHz (2 Cores)\n",
      "            1 : Resolution: 1920 x 1080 - Effects Quality: Ultra\n",
      "                    1 :  Intel Core i7-3930K @ 5.70GHz (12 Cores)\n",
      "            4 : Resolution: 3840 x 2160 - Effects Quality: High\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 3840 x 2160 - Effects Quality: Low\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           14 : Resolution: 3840 x 2160 - Effects Quality: Ultimate\n",
      "                    3 :  AMD FX-8350 Eight-Core @ 4.00GHz (8 Cores)\n",
      "                    1 :  AMD FX-8350 Eight-Core @ 4.40GHz (8 Cores)\n",
      "                   10 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            6 : Resolution: 3840 x 2160 - Effects Quality: Ultra\n",
      "                    6 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   60 : pts/gputest-1.3.1\n",
      "            9 : Test: Furmark - Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    1 :  AMD Phenom II X4 965 @ 3.80GHz (4 Cores)\n",
      "                    8 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "            1 : Test: Furmark - Resolution: 1920 x 1200 - Mode: Fullscreen\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Test: Furmark - Resolution: 2560 x 1600 - Mode: Fullscreen\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            6 : Test: Furmark - Resolution: 3840 x 2160 - Mode: Fullscreen\n",
      "                    6 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            8 : Test: Pixmark Piano - Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    8 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "            1 : Test: Pixmark Piano - Resolution: 1920 x 1200 - Mode: Fullscreen\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            8 : Test: Pixmark Volplosion - Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    8 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "            9 : Test: Plot3D - Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    9 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "            1 : Test: Plot3D - Resolution: 1920 x 1080 - Mode: Windowed\n",
      "                    1 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "            9 : Test: Triangle - Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    1 :  AMD Phenom II X4 965 @ 3.80GHz (4 Cores)\n",
      "                    8 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "            1 : Test: Triangle - Resolution: 1920 x 1200 - Mode: Fullscreen\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Test: Triangle - Resolution: 2560 x 1600 - Mode: Fullscreen\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Test: Triangle - Resolution: 3840 x 2160 - Mode: Fullscreen\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "   63 : pts/dota2-1.2.1\n",
      "            1 : Resolution: 1024 x 768 - Renderer: OpenGL\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1024 x 768 - Renderer: Vulkan\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Resolution: 1280 x 1024 - Renderer: OpenGL\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            4 : Resolution: 1280 x 1024 - Renderer: Vulkan\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 800 - Renderer: OpenGL\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 800 - Renderer: Vulkan\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 960 - Renderer: OpenGL\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 960 - Renderer: Vulkan\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1440 x 900 - Renderer: OpenGL\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1440 x 900 - Renderer: Vulkan\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1680 x 1050 - Renderer: OpenGL\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1680 x 1050 - Renderer: Vulkan\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           11 : Resolution: 1920 x 1080 - Renderer: OpenGL\n",
      "                   11 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            6 : Resolution: 1920 x 1080 - Renderer: Vulkan\n",
      "                    6 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 2560 x 1600 - Renderer: Vulkan\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           18 : Resolution: 3840 x 2160 - Renderer: OpenGL\n",
      "                   18 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            4 : Resolution: 3840 x 2160 - Renderer: Vulkan\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Resolution: 800 x 600 - Renderer: OpenGL\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            3 : Resolution: 800 x 600 - Renderer: Vulkan\n",
      "                    3 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "\n",
      "  134 : None\n",
      "           16 : GPU Temperature Monitor\n",
      "                   16 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : OpenCL Device: GPU - Scene: Luxball HDR\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : OpenCL Device: GPU - Scene: Microphone\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Performance / Cost - Resolution: 1920 x 1080\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Performance / Cost - Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Performance / Cost - Resolution: 2560 x 1600 - Effects Quality: Ultra\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            6 : Performance / Cost - Resolution: 3840 x 2160\n",
      "                    6 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Performance / Cost - Resolution: 3840 x 2160 - Renderer: OpenGL\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Performance / Cost - Target: OpenCL - Benchmark: Max SP Flops\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            6 : Phoronix Test Suite System Monitoring\n",
      "                    6 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Phoronix Test Suite v6.6.0m2\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1024 x 768 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 1024 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1280 x 800 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1400 x 1050 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1600 x 1200 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1600 x 900 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1680 x 1050 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            4 : Resolution: 1920 x 1080\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 1920 x 1080 - Effects Quality: Ultra\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            4 : Resolution: 1920 x 1080 - Mode: Fullscreen\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 1920 x 1080 - Renderer: OpenGL\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 1920 x 1080 - Renderer: Vulkan\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           15 : Resolution: 1920 x 1080 - Total Frame Time\n",
      "                   10 :  Intel Core i5-4670K @ 3.80GHz (4 Cores)\n",
      "                    5 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 1920 x 1200 - Total Frame Time\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 2560 x 1600 - Effects Quality: Ultra\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            9 : Resolution: 3840 x 2160\n",
      "                    9 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 3840 x 2160 - Effects Quality: Ultimate\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            4 : Resolution: 3840 x 2160 - Renderer: OpenGL\n",
      "                    4 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Resolution: 3840 x 2160 - Renderer: Vulkan\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Resolution: 800 x 600 - Total Frame Time\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "           35 : System Power Consumption Monitor\n",
      "                   35 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            2 : Target: OpenCL - Benchmark: Max SP Flops\n",
      "                    2 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n",
      "            1 : Target: OpenCL - Benchmark: Texture Read Bandwidth\n",
      "                    1 :  Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)\n"
     ]
    }
   ],
   "source": [
    "# now see for which tests we have sufficient data\n",
    "openbm.explore_dataset(df_find, 'ResultIdentifier', 'ResultDescription', 'Processor')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7ff23b142a20>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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O9Y5bkMKGEAWXz8aFSJB3+F7kft8AdwP/Duv/E8CrEdv1xQUEtwKXAVWBT73zA9iEC2RG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\nERERERERkYT4/1ssihN7XHu0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff23b228ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test = 'pts/unigine-valley-1.1.4'\n",
    "test_detail = 'Resolution: 1920 x 1080 - Mode: Fullscreen'\n",
    "\n",
    "# select only a certain test\n",
    "sel = df_find[df_find['ResultIdentifier'] == test]\n",
    "# and the same version/resultion of said test\n",
    "sel = sel[sel['ResultDescription']==test_detail].copy()\n",
    "# cast Value to a float64\n",
    "sel['Value'] = sel['Value'].astype(np.float64)\n",
    "# remove close to zero measurements\n",
    "#sel = sel[(sel['Display Driver']!='None') & (sel['Value']>0.5)]\n",
    "fig, ax = openbm.plot_barh_groups(sel, 'Graphics', 'Processor', label_xval='Value')\n",
    "ax.set_title(test + '\\n' + test_detail)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also inspect the DataFrame directly to see all the available details of the corresponding tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Audio</th>\n",
       "      <th>Chipset</th>\n",
       "      <th>Compiler</th>\n",
       "      <th>Desktop</th>\n",
       "      <th>Disk</th>\n",
       "      <th>Display Driver</th>\n",
       "      <th>Display Server</th>\n",
       "      <th>File-System</th>\n",
       "      <th>Graphics</th>\n",
       "      <th>...</th>\n",
       "      <th>Arguments</th>\n",
       "      <th>ResultDescription</th>\n",
       "      <th>DisplayFormat</th>\n",
       "      <th>ResultIdentifier</th>\n",
       "      <th>DataEntryJSON</th>\n",
       "      <th>Proportion</th>\n",
       "      <th>RawString</th>\n",
       "      <th>Scale</th>\n",
       "      <th>ResultTitle</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>249</td>\n",
       "      <td>Realtek ALC1150</td>\n",
       "      <td>Intel Sky Lake</td>\n",
       "      <td>GCC 5.4.0 20160609</td>\n",
       "      <td>Unity 7.4.0</td>\n",
       "      <td>4 x 120GB TOSHIBA-TR150 + Samsung SSD 950 PRO...</td>\n",
       "      <td>None</td>\n",
       "      <td>X Server 1.18.3</td>\n",
       "      <td>ext4</td>\n",
       "      <td>Sapphire AMD Radeon RX 470 4096MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>70.5185:70.3663:70.4505</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>70.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>2136</td>\n",
       "      <td>Realtek ALC1150</td>\n",
       "      <td>Intel Sky Lake</td>\n",
       "      <td>GCC 5.4.0 20160609</td>\n",
       "      <td>Unity 7.4.0</td>\n",
       "      <td>2 x 120GB TOSHIBA-TR150 + Samsung SSD 950 PRO...</td>\n",
       "      <td>None</td>\n",
       "      <td>X Server 1.18.3</td>\n",
       "      <td>ext4</td>\n",
       "      <td>Sapphire AMD Radeon RX 470 4096MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>70.5185:70.3663:70.4505</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>70.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1372</th>\n",
       "      <td>2854</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>AMD RD9x0/RX980</td>\n",
       "      <td>GCC 6.2.1 20160916</td>\n",
       "      <td>GNOME Shell 3.20.4</td>\n",
       "      <td>2000GB TOSHIBA HDWD120 + 500GB Western Digita...</td>\n",
       "      <td>radeon 7.6.99</td>\n",
       "      <td>None</td>\n",
       "      <td>ext4</td>\n",
       "      <td>ASUS AMD Radeon RX 470/480 4096MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>42.1378:42.5005:42.5592</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>42.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1540</th>\n",
       "      <td>3057</td>\n",
       "      <td>Realtek ALC1150</td>\n",
       "      <td>Intel Sky Lake</td>\n",
       "      <td>GCC 5.4.0 20160609 + LLVM 3.8.0</td>\n",
       "      <td>Unity 7.4.0</td>\n",
       "      <td>525GB Crucial_CT525MX3 + 256GB INTEL SSDPEKKW...</td>\n",
       "      <td>amdgpu 1.1.99</td>\n",
       "      <td>X Server 1.18.4</td>\n",
       "      <td>ext4</td>\n",
       "      <td>AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>70.1291:70.1233:69.9264</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>70.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>3109</td>\n",
       "      <td>Realtek ALC1150</td>\n",
       "      <td>Intel Sky Lake</td>\n",
       "      <td>GCC 5.4.0 20160609 + LLVM 3.8.0</td>\n",
       "      <td>Unity 7.4.0</td>\n",
       "      <td>525GB Crucial_CT525MX3 + 256GB INTEL SSDPEKKW...</td>\n",
       "      <td>modesetting 1.18.4</td>\n",
       "      <td>X Server 1.18.4</td>\n",
       "      <td>ext4</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 4096MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>66.5875:66.276:66.3119</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>66.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2433</th>\n",
       "      <td>5864</td>\n",
       "      <td>Realtek ALC898</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.0 20161005</td>\n",
       "      <td>Unity 7.5.0</td>\n",
       "      <td>500GB Crucial_CT500MX2</td>\n",
       "      <td>modesetting 1.18.4</td>\n",
       "      <td>X Server 1.18.4</td>\n",
       "      <td>ext4</td>\n",
       "      <td>Gigabyte AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>68.3098:68.028:68.1125</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>68.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2438</th>\n",
       "      <td>5869</td>\n",
       "      <td>Realtek ALC898</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.0 20161005</td>\n",
       "      <td>Unity 7.5.0</td>\n",
       "      <td>500GB Crucial_CT500MX2</td>\n",
       "      <td>modesetting 1.18.4</td>\n",
       "      <td>X Server 1.18.4</td>\n",
       "      <td>ext4</td>\n",
       "      <td>Gigabyte AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>67.9355:67.729:67.9844</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>67.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2969</th>\n",
       "      <td>7355</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>Openbox 3.6.1</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>74.2047:74.645:74.6515</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>74.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>7367</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>69.5248:70.2205:70.2645</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>70.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2993</th>\n",
       "      <td>7379</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>67.8907:68.987:68.2951</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>68.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3007</th>\n",
       "      <td>7393</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>68.1813:68.9656:68.9172</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>68.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3019</th>\n",
       "      <td>7405</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>67.626:68.3719:68.5392</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>68.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3031</th>\n",
       "      <td>7417</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>70.9713:70.6169:70.9536</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>70.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3043</th>\n",
       "      <td>7429</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>67.415:67.6801:68.0953</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>67.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>7441</td>\n",
       "      <td>Realtek ALC892</td>\n",
       "      <td>Intel 4th Gen Core DRAM</td>\n",
       "      <td>GCC 6.2.1 20160830 + LLVM 4.0.0svn</td>\n",
       "      <td>GNOME Shell 3.22.2</td>\n",
       "      <td>256GB Crucial_CT256MX1 + 3001GB Western Digit...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>xfs</td>\n",
       "      <td>Sapphire AMD Radeon RX 470/480 8192MB</td>\n",
       "      <td>...</td>\n",
       "      <td>-video_width 1920 -video_height 1080 -video_fu...</td>\n",
       "      <td>Resolution: 1920 x 1080 - Mode: Fullscreen</td>\n",
       "      <td>BAR_GRAPH</td>\n",
       "      <td>pts/unigine-valley-1.1.4</td>\n",
       "      <td>None</td>\n",
       "      <td>HIB</td>\n",
       "      <td>67.4454:67.7831:68.6466</td>\n",
       "      <td>Frames Per Second</td>\n",
       "      <td>Unigine Valley</td>\n",
       "      <td>67.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0             Audio                   Chipset  \\\n",
       "249          249   Realtek ALC1150            Intel Sky Lake   \n",
       "1105        2136   Realtek ALC1150            Intel Sky Lake   \n",
       "1372        2854    Realtek ALC892           AMD RD9x0/RX980   \n",
       "1540        3057   Realtek ALC1150            Intel Sky Lake   \n",
       "1592        3109   Realtek ALC1150            Intel Sky Lake   \n",
       "2433        5864    Realtek ALC898   Intel 4th Gen Core DRAM   \n",
       "2438        5869    Realtek ALC898   Intel 4th Gen Core DRAM   \n",
       "2969        7355    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "2981        7367    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "2993        7379    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "3007        7393    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "3019        7405    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "3031        7417    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "3043        7429    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "3055        7441    Realtek ALC892   Intel 4th Gen Core DRAM   \n",
       "\n",
       "                                 Compiler              Desktop  \\\n",
       "249                    GCC 5.4.0 20160609          Unity 7.4.0   \n",
       "1105                   GCC 5.4.0 20160609          Unity 7.4.0   \n",
       "1372                   GCC 6.2.1 20160916   GNOME Shell 3.20.4   \n",
       "1540      GCC 5.4.0 20160609 + LLVM 3.8.0          Unity 7.4.0   \n",
       "1592      GCC 5.4.0 20160609 + LLVM 3.8.0          Unity 7.4.0   \n",
       "2433                   GCC 6.2.0 20161005          Unity 7.5.0   \n",
       "2438                   GCC 6.2.0 20161005          Unity 7.5.0   \n",
       "2969   GCC 6.2.1 20160830 + LLVM 4.0.0svn        Openbox 3.6.1   \n",
       "2981   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "2993   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "3007   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "3019   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "3031   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "3043   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "3055   GCC 6.2.1 20160830 + LLVM 4.0.0svn   GNOME Shell 3.22.2   \n",
       "\n",
       "                                                   Disk       Display Driver  \\\n",
       "249    4 x 120GB TOSHIBA-TR150 + Samsung SSD 950 PRO...                 None   \n",
       "1105   2 x 120GB TOSHIBA-TR150 + Samsung SSD 950 PRO...                 None   \n",
       "1372   2000GB TOSHIBA HDWD120 + 500GB Western Digita...        radeon 7.6.99   \n",
       "1540   525GB Crucial_CT525MX3 + 256GB INTEL SSDPEKKW...        amdgpu 1.1.99   \n",
       "1592   525GB Crucial_CT525MX3 + 256GB INTEL SSDPEKKW...   modesetting 1.18.4   \n",
       "2433                             500GB Crucial_CT500MX2   modesetting 1.18.4   \n",
       "2438                             500GB Crucial_CT500MX2   modesetting 1.18.4   \n",
       "2969   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "2981   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "2993   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "3007   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "3019   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "3031   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "3043   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "3055   256GB Crucial_CT256MX1 + 3001GB Western Digit...                 None   \n",
       "\n",
       "        Display Server File-System                                Graphics  \\\n",
       "249    X Server 1.18.3        ext4       Sapphire AMD Radeon RX 470 4096MB   \n",
       "1105   X Server 1.18.3        ext4       Sapphire AMD Radeon RX 470 4096MB   \n",
       "1372              None        ext4       ASUS AMD Radeon RX 470/480 4096MB   \n",
       "1540   X Server 1.18.4        ext4            AMD Radeon RX 470/480 8192MB   \n",
       "1592   X Server 1.18.4        ext4   Sapphire AMD Radeon RX 470/480 4096MB   \n",
       "2433   X Server 1.18.4        ext4   Gigabyte AMD Radeon RX 470/480 8192MB   \n",
       "2438   X Server 1.18.4        ext4   Gigabyte AMD Radeon RX 470/480 8192MB   \n",
       "2969              None         xfs       Sapphire AMD Radeon RX 470 8192MB   \n",
       "2981              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "2993              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "3007              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "3019              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "3031              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "3043              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "3055              None         xfs   Sapphire AMD Radeon RX 470/480 8192MB   \n",
       "\n",
       "      ...                                            Arguments  \\\n",
       "249   ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "1105  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "1372  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "1540  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "1592  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "2433  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "2438  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "2969  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "2981  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "2993  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "3007  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "3019  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "3031  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "3043  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "3055  ...    -video_width 1920 -video_height 1080 -video_fu...   \n",
       "\n",
       "                               ResultDescription DisplayFormat  \\\n",
       "249   Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "1105  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "1372  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "1540  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "1592  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "2433  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "2438  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "2969  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "2981  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "2993  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "3007  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "3019  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "3031  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "3043  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "3055  Resolution: 1920 x 1080 - Mode: Fullscreen     BAR_GRAPH   \n",
       "\n",
       "              ResultIdentifier DataEntryJSON Proportion  \\\n",
       "249   pts/unigine-valley-1.1.4          None        HIB   \n",
       "1105  pts/unigine-valley-1.1.4          None        HIB   \n",
       "1372  pts/unigine-valley-1.1.4          None        HIB   \n",
       "1540  pts/unigine-valley-1.1.4          None        HIB   \n",
       "1592  pts/unigine-valley-1.1.4          None        HIB   \n",
       "2433  pts/unigine-valley-1.1.4          None        HIB   \n",
       "2438  pts/unigine-valley-1.1.4          None        HIB   \n",
       "2969  pts/unigine-valley-1.1.4          None        HIB   \n",
       "2981  pts/unigine-valley-1.1.4          None        HIB   \n",
       "2993  pts/unigine-valley-1.1.4          None        HIB   \n",
       "3007  pts/unigine-valley-1.1.4          None        HIB   \n",
       "3019  pts/unigine-valley-1.1.4          None        HIB   \n",
       "3031  pts/unigine-valley-1.1.4          None        HIB   \n",
       "3043  pts/unigine-valley-1.1.4          None        HIB   \n",
       "3055  pts/unigine-valley-1.1.4          None        HIB   \n",
       "\n",
       "                    RawString              Scale     ResultTitle  Value  \n",
       "249   70.5185:70.3663:70.4505  Frames Per Second  Unigine Valley  70.45  \n",
       "1105  70.5185:70.3663:70.4505  Frames Per Second  Unigine Valley  70.45  \n",
       "1372  42.1378:42.5005:42.5592  Frames Per Second  Unigine Valley  42.40  \n",
       "1540  70.1291:70.1233:69.9264  Frames Per Second  Unigine Valley  70.06  \n",
       "1592   66.5875:66.276:66.3119  Frames Per Second  Unigine Valley  66.39  \n",
       "2433   68.3098:68.028:68.1125  Frames Per Second  Unigine Valley  68.15  \n",
       "2438   67.9355:67.729:67.9844  Frames Per Second  Unigine Valley  67.88  \n",
       "2969   74.2047:74.645:74.6515  Frames Per Second  Unigine Valley  74.50  \n",
       "2981  69.5248:70.2205:70.2645  Frames Per Second  Unigine Valley  70.00  \n",
       "2993   67.8907:68.987:68.2951  Frames Per Second  Unigine Valley  68.39  \n",
       "3007  68.1813:68.9656:68.9172  Frames Per Second  Unigine Valley  68.69  \n",
       "3019   67.626:68.3719:68.5392  Frames Per Second  Unigine Valley  68.18  \n",
       "3031  70.9713:70.6169:70.9536  Frames Per Second  Unigine Valley  70.85  \n",
       "3043   67.415:67.6801:68.0953  Frames Per Second  Unigine Valley  67.73  \n",
       "3055  67.4454:67.7831:68.6466  Frames Per Second  Unigine Valley  67.96  \n",
       "\n",
       "[15 rows x 39 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7ff235800f28>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bfblz2BOY6u5uZicRjrP1xhi7AvuuDlwFHAlsDSwGBsY5jE6stx9wG9AOcOAq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\n//j19+wRwoK8z9kjavu+AnpHBLDk4QkYhsHbn2VSUd1I78gA/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2IxyCuq/s7zRERERER+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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff23b16f748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test = 'pts/xonotic-1.4.0'\n",
    "test_detail = 'Resolution: 1920 x 1080 - Effects Quality: Ultimate'\n",
    "\n",
    "# select only a certain test\n",
    "sel = df_find[df_find['ResultIdentifier'] == test]\n",
    "# and the same version/resultion of said test\n",
    "sel = sel[sel['ResultDescription']==test_detail].copy()\n",
    "# cast Value to a float64\n",
    "sel['Value'] = sel['Value'].astype(np.float64)\n",
    "# remove close to zero measurements\n",
    "#sel = sel[(sel['Display Driver']!='None') & (sel['Value']>0.5)]\n",
    "fig, ax = openbm.plot_barh_groups(sel, 'Graphics', 'Processor', label_xval='Value')\n",
    "ax.set_title(test + '\\n' + test_detail)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or show only the Processor and Graphics columns (not truncated):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                       Processor  \\\n",
      "249    Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)   \n",
      "1105   Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)   \n",
      "1372    AMD Phenom II X4 965 @ 3.80GHz (4 Cores)   \n",
      "1540   Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)   \n",
      "1592   Intel Xeon E3-1280 v5 @ 4.00GHz (8 Cores)   \n",
      "2433     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "2438     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "2969     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "2981     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "2993     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "3007     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "3019     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "3031     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "3043     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "3055     Intel Core i5-4670K @ 3.80GHz (4 Cores)   \n",
      "\n",
      "                                    Graphics  \n",
      "249        Sapphire AMD Radeon RX 470 4096MB  \n",
      "1105       Sapphire AMD Radeon RX 470 4096MB  \n",
      "1372       ASUS AMD Radeon RX 470/480 4096MB  \n",
      "1540            AMD Radeon RX 470/480 8192MB  \n",
      "1592   Sapphire AMD Radeon RX 470/480 4096MB  \n",
      "2433   Gigabyte AMD Radeon RX 470/480 8192MB  \n",
      "2438   Gigabyte AMD Radeon RX 470/480 8192MB  \n",
      "2969       Sapphire AMD Radeon RX 470 8192MB  \n",
      "2981   Sapphire AMD Radeon RX 470/480 8192MB  \n",
      "2993   Sapphire AMD Radeon RX 470/480 8192MB  \n",
      "3007   Sapphire AMD Radeon RX 470/480 8192MB  \n",
      "3019   Sapphire AMD Radeon RX 470/480 8192MB  \n",
      "3031   Sapphire AMD Radeon RX 470/480 8192MB  \n",
      "3043   Sapphire AMD Radeon RX 470/480 8192MB  \n",
      "3055   Sapphire AMD Radeon RX 470/480 8192MB  \n"
     ]
    }
   ],
   "source": [
    "print(sel[['Processor', 'Graphics']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7ff2357a2550>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lIiIiIiIiIiLVLrqmOyAiUlO+/PJLdu4sorS0rKa78qsRFeWnXr1aGvcaoLGv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FNv7aC0so7R/SKZMq4bVTUNFJZWO7p3Okf6Mv2qBNxcLVTVNPDqP/dwsrCSDkGezLiuN94ertTU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PWlp1cnLydMNSiRT3qqPYVw3FvWoo7lXDi/uPnfRxWD8pKSU/f8Y9ia6xtfbrsPeeA6qFJwGO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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff23b337208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test = 'pts/xonotic-1.4.0'\n",
    "test_detail = 'Resolution: 3840 x 2160 - Effects Quality: Ultimate'\n",
    "\n",
    "# select only a certain test\n",
    "sel = df_find[df_find['ResultIdentifier'] == test]\n",
    "# and the same version/resultion of said test\n",
    "sel = sel[sel['ResultDescription']==test_detail].copy()\n",
    "# cast Value to a float64\n",
    "sel['Value'] = sel['Value'].astype(np.float64)\n",
    "# remove close to zero measurements\n",
    "#sel = sel[(sel['Display Driver']!='None') & (sel['Value']>0.5)]\n",
    "fig, ax = openbm.plot_barh_groups(sel, 'Graphics', 'Processor', label_xval='Value')\n",
    "ax.set_title(test + '\\n' + test_detail)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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