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    {
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "Aj8r4ZB8gNCh"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime as dt\n",
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "VGmBQ5CZk5UX"
   },
   "outputs": [],
   "source": [
    "def organise_labels(x):\n",
    "  task=[]\n",
    "  times=[]\n",
    "  for element in x:\n",
    "    if ':' in element:\n",
    "      task.append(element.split(':')[0])\n",
    "      times.append(float(element.split(':')[1].replace('seconds',' ').replace('sec','').strip()))\n",
    "    else:\n",
    "      task.append('unknown')\n",
    "      times.append(float(element.replace('seconds','').replace('secs','').strip()))\n",
    "\n",
    "  task_list=list(set(task))\n",
    "  tasks_dict=dict()\n",
    "  for i in range(len(times)):\n",
    "    if task[i] in tasks_dict.keys():\n",
    "      tasks_dict[task[i]].append(times[i])\n",
    "    else:\n",
    "      tasks_dict[task[i]]=[times[i]]\n",
    "  formatted_str=[]\n",
    "\n",
    "  for taskname in tasks_dict.keys():\n",
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        "    formatted_str.append(taskname +':'+ str(round(np.mean(tasks_dict[taskname]),0)) + 'seconds')\n",
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        "  return ('\\n'.join(formatted_str))"
   ]
  },
  {
   "cell_type": "code",
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       "execution_count": 3,
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       "metadata": {
    "id": "NtdeSbEUPgWV"
   },
   "outputs": [],
   "source": [
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        "def graph_building(Data_IR,path_name):\n",
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        "  Data_IR.loc[:,\"old_task_id\"]=Data_IR.inst_book_section_exercise_id.shift(1)\n",
    "  Data_IR.loc[0,'old_task_id']=int(0)\n",
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        "  Data_IR=Data_IR.loc[(Data_IR.inst_book_section_exercise_id!=Data_IR.old_task_id),\\\n",
    "                         ['inst_book_section_exercise_id','old_task_id','Action Time']]\n",
    "\n",
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        "  MG = nx.MultiDiGraph() \n",
    "  G=nx.from_pandas_edgelist(Data_IR, source='old_task_id', target='inst_book_section_exercise_id',create_using=nx.DiGraph())\n",
    "  event_list=[]\n",
    "  for edge in G.edges:\n",
    "    event_list.append(edge[0])\n",
    "    event_list.append(edge[1])\n",
    "  EV=sorted(list(set(event_list)))\n",
    "  n=len(EV)\n",
    "\n",
    "  MG.add_nodes_from(EV)\n",
    "  p=np.ceil(n**0.5)\n",
    "  for edge in G.edges:\n",
    "    L=[]\n",
    "    DF=Data_IR.loc[(Data_IR.old_task_id==edge[0])&(Data_IR.inst_book_section_exercise_id==edge[1]),[\"Action Time\"]]\n",
    "    if DF.shape[0]==1:\n",
    "      L.append((edge[0],edge[1],dict(act_time=str(DF['Action Time'].values[0]))))\n",
    "    else:\n",
    "      L.append((edge[0],edge[1],dict(act_time=organise_labels(DF['Action Time'].values))))\n",
    "    MG.add_edges_from(L)\n",
    "  \n",
    "  labelPosDict=dict()\n",
    "  nodePosDict =dict()\n",
    "  for i in range(n):\n",
    "    labelPosDict[EV[i]]=[p*(i//p),i%p]\n",
    "    nodePosDict[EV[i]]=[p*(i//p),i%p]\n",
    "  \n",
    "  plt.figure(figsize=(22, 10), dpi=600)\n",
    "  auto_pos=nx.spring_layout(MG)\n",
    "  labels=dict([((u,v),d['act_time']) for u,v,d in MG.edges(data=True)])\n",
    "  nx.draw_networkx_edge_labels(MG,pos=labelPosDict, edge_labels=labels)\n",
    "  nx.draw(MG,with_labels=True, pos=nodePosDict,node_color=\"orange\",\n",
    "      node_size=2500, alpha=0.3, font_weight=\"bold\", font_size=12, arrows=True,\n",
    "      connectionstyle='arc3, rad=0.2',edge_color='green', width=4)\n",
    " \n",
    "  plt.axis('on')\n",
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        "  plt.title(path_name.split('/')[-1].replace('.csv',''))\n",
    "  plt.savefig('activity_chart.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "path_name=\"/Users/abilash/Downloads/student56.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "pXLrwILWgNtP"
   },
   "outputs": [],
   "source": [
    "Data_IR2=pd.read_csv(path_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "5dzC30ESfINC"
   },
   "outputs": [],
   "source": [
    "Data_clean=Data_IR2[['Action Time','inst_book_section_exercise_id']].dropna(inplace=False)"
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       ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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         "height": 460
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        },
    "id": "mE2hv4X7NjV5",
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        "outputId": "6e8d0c77-8001-48ad-a84f-01f395281d99"
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       },
   "outputs": [
    {
     "data": {
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    Visualization of the student569 prototype
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          "text/plain": [
       "<Figure size 13200x6000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    Abilash Pradeep's avatar
    Replaced student569_Visual.ipynb  
    Abilash Pradeep committed
    159 
        "graph_building(Data_clean,path_name)"
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    Visualization of the student569 prototype
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    160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 
       ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "provenance": []
  },
  "kernelspec": {
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   "language": "python",
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   "file_extension": ".py",
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 },
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}