recopytex/templates/tpl_evaluation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "from IPython.display import Markdown as md\n",
    "from IPython.display import display\n",
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "from datetime import datetime\n",
    "from recopytex import flat_df_students, pp_q_scores\n",
    "#import prettytable as pt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "tribe = \"308\"\n",
    "assessment = \"DM1\"\n",
    "date = \"15/09/16\"\n",
    "csv_file = Path(f\"../sheets/{tribe}/160915_{assessment}.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# DM1 (15/09/16) pour 308"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if date is None:\n",
    "    display(md(f\"# {assessment} pour {tribe}\"))\n",
    "else:\n",
    "    display(md(f\"# {assessment} ({date}) pour {tribe}\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "stack_scores = pd.read_csv(csv_file, encoding=\"latin_1\")\n",
    "scores = flat_df_students(stack_scores).dropna(subset=[\"Score\"])\n",
    "scores = pp_q_scores(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "exercises_scores = scores.groupby([\"Exercice\", \"Eleve\"]).agg({\"Note\": \"sum\", \"Bareme\": \"sum\"})\n",
    "#exercises_scores.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Note</th>\n",
       "      <th>Bareme</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eleve</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ABDOU Asmahane</th>\n",
       "      <td>5.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABOU Roihim</th>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHMED BOINALI Kouraichia</th>\n",
       "      <td>2.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHMED Rahada</th>\n",
       "      <td>6.33</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALI SAID Anchourati</th>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASSANE Noussouraniya</th>\n",
       "      <td>4.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BACAR Issiaka</th>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BACAR Samina</th>\n",
       "      <td>3.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHAIHANE Said</th>\n",
       "      <td>5.33</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMBO Houzaimati</th>\n",
       "      <td>5.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DAOUD Anzilati</th>\n",
       "      <td>5.17</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DAOUD Talaenti</th>\n",
       "      <td>5.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DARKAOUI Rachma</th>\n",
       "      <td>5.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHAKIOINE Nabaouya</th>\n",
       "      <td>1.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJANFAR Soioutinour</th>\n",
       "      <td>5.33</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DRISSA Ibrahim</th>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HACHIM SIDI Assani</th>\n",
       "      <td>7.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HAFIDHUI Zalifa</th>\n",
       "      <td>5.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOUMADI Marie</th>\n",
       "      <td>6.67</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOUMADI Sania</th>\n",
       "      <td>5.33</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAANDHUI Halouoi</th>\n",
       "      <td>7.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MASSONDI Nasma</th>\n",
       "      <td>7.33</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAIDALI Irichad</th>\n",
       "      <td>5.00</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Note  Bareme\n",
       "Eleve                                 \n",
       "ABDOU Asmahane            5.00      12\n",
       "ABOU Roihim               0.00      12\n",
       "AHMED BOINALI Kouraichia  2.67      12\n",
       "AHMED Rahada              6.33      12\n",
       "ALI SAID Anchourati       0.00      12\n",
       "ASSANE Noussouraniya      4.67      12\n",
       "BACAR Issiaka             0.00      12\n",
       "BACAR Samina              3.67      12\n",
       "CHAIHANE Said             5.33      12\n",
       "COMBO Houzaimati          5.00      12\n",
       "DAOUD Anzilati            5.17      12\n",
       "DAOUD Talaenti            5.67      12\n",
       "DARKAOUI Rachma           5.67      12\n",
       "DHAKIOINE Nabaouya        1.00      12\n",
       "DJANFAR Soioutinour       5.33      12\n",
       "DRISSA Ibrahim            0.00      12\n",
       "HACHIM SIDI Assani        7.00      12\n",
       "HAFIDHUI Zalifa           5.67      12\n",
       "HOUMADI Marie             6.67      12\n",
       "HOUMADI Sania             5.33      12\n",
       "MAANDHUI Halouoi          7.00      12\n",
       "MASSONDI Nasma            7.33      12\n",
       "SAIDALI Irichad           5.00      12"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assessment_scores = scores.groupby([\"Eleve\"]).agg({\"Note\": \"sum\", \"Bareme\": \"sum\"})\n",
    "assessment_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    23.00\n",
       "mean      4.33\n",
       "std       2.45\n",
       "min       0.00\n",
       "25%       3.17\n",
       "50%       5.17\n",
       "75%       5.67\n",
       "max       7.33\n",
       "Name: Note, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assessment_scores[\"Note\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
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       "grid_default": {},
       "report_default": {
        "hidden": false
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      }
     }
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.7/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n",
      "/usr/lib/python3.7/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f104b318090>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "assessment_scores[\"Note\"].plot.kde()\n",
    "assessment_scores[\"Note\"].plot.hist(density=True)"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
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   },
   "outputs": [],
   "source": []
  }
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