graph_results.ipynb

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    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.DataFrame()\n",
    "df['single thread'] = [14, 32, 53]\n",
    "df['3 workers'] = [6, 13, 30]\n",
    "df['5 workers'] = [6, 11, 25]\n",
    "df['10 workers'] = [4, 9, 21]\n",
    "df['16 workers'] = [3, 7, 19]\n",
    "df['SMP (16 cores)'] = [4, 8, 10]\n",
    "df['job size'] = [50, 100, 200]"
   ]
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       "      <th></th>\n",
       "      <th>single thread</th>\n",
       "      <th>3 workers</th>\n",
       "      <th>5 workers</th>\n",
       "      <th>10 workers</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>50</td>\n",
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       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>100</td>\n",
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       "      <th>2</th>\n",
       "      <td>53</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>200</td>\n",
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       "   single thread  3 workers  5 workers  10 workers  16 workers  \\\n",
       "0             14          6          6           4           3   \n",
       "1             32         13         11           9           7   \n",
       "2             53         30         25          21          19   \n",
       "\n",
       "   SMP (16 cores)  job size  \n",
       "0               4        50  \n",
       "1               8       100  \n",
       "2              10       200  "
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            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Execution time (s) vs. job size"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "job size"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "value"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make line plot\n",
    "import plotly.express as px\n",
    "\n",
    "fig = px.line(df, x='job size', y=df.columns[:-1], title='Execution time (s) vs. job size')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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