{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd, numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from jupyterthemes import jtplot\n",
    "import matplotlib as mpl\n",
    "# onedork | grade3 | oceans16 | chesterish | monokai | solarizedl | solarizedd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#model data\n",
    "df=pd.read_csv('ex/data/days-simulated-v2.tsv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0,270,5,32,10,73,16,25,5,165,2,35,4,300,1,53,1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4,150,16,7,4,623,16,5,8,35,16,20,5,30,2,10,8,1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0,270,1,75,16,30,9,15,16,5,8,40,16,5,10,10,16,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0,240,1,60,10,50,16,5,5,55,2,32,16,8,10,10,16,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0,170,2,20,16,5,4,285,2,15,3,205,16,5,6,6,16,1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 day\n",
       "0  0,270,5,32,10,73,16,25,5,165,2,35,4,300,1,53,1...\n",
       "1  4,150,16,7,4,623,16,5,8,35,16,20,5,30,2,10,8,1...\n",
       "2  0,270,1,75,16,30,9,15,16,5,8,40,16,5,10,10,16,...\n",
       "3  0,240,1,60,10,50,16,5,5,55,2,32,16,8,10,10,16,...\n",
       "4  0,170,2,20,16,5,4,285,2,15,3,205,16,5,6,6,16,1..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#target structure: activity, duration, activity, duration, ...\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a=df.loc[430].values[0].split(',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1440"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#activity sum duration (minues by day)\n",
    "sum([int(a[i*2+1]) for i in range(len(a)/2)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df1=pd.read_csv('ex/1.csv')\n",
    "df2=pd.read_csv('ex/2.csv')\n",
    "df3=pd.read_csv('ex/3.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df=pd.concat([df1,df2[1:],df3[1:]]) #no need for headers twice, df headers completely identical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create weekday dataframe\n",
    "hkoz=df[df.columns[9:489]].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create weekend dataframe\n",
    "hetv=df[df.columns[489:969]].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create descriptive stats dataframe\n",
    "desc=df[df.columns[969:]].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create survey metadata dataframe\n",
    "time=df[df.columns[2:4]].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#top 16 activity groups\n",
    "activities=[['Alv\\xc3\\xa1s'],\n",
    "['Zuhany / Mosd\\xc3\\xb3'],\n",
    "['\\xc3\\x89tkez\\xc3\\xa9s', '\\xc3\\x89tterem/Vend\\xc3\\xa9gl\\xc5\\x91'],\n",
    "[u'Munka (irodai)', 'Munka (k\\xc3\\xa9tkezi)'],\n",
    "[u'Internet', u'Telefon/Chat/Facebook'],\n",
    "['V\\xc3\\xa1s\\xc3\\xa1rl\\xc3\\xa1s'],\n",
    "['Vall\\xc3\\xa1sgyakorl\\xc3\\xa1s','\\xc3\\x96nk\\xc3\\xa9ntess\\xc3\\xa9g'],\n",
    "[u'TV/Film', u'Mozi'],\n",
    "['Olvas\\xc3\\xa1s', '\\xc3\\x9ajs\\xc3\\xa1g/Keresztrejtv\\xc3\\xa9ny'],\n",
    "['H\\xc3\\xa1zimunka/Gyerekfel\\xc3\\xbcgyelet'],\n",
    "['Hivatalos elint\\xc3\\xa9znival\\xc3\\xb3k'],\n",
    "[u'Sport', 'Edz\\xc5\\x91terem/Sz\\xc3\\xa9ps\\xc3\\xa9gszalon'],\n",
    "['Egy\\xc3\\xa9b Hobby', 'PC j\\xc3\\xa1t\\xc3\\xa9k', 'Kert\\xc3\\xa9szked\\xc3\\xa9s/Bark\\xc3\\xa1csol\\xc3\\xa1s', 'Rokonl\\xc3\\xa1togat\\xc3\\xa1s',  'M\\xc3\\xa1s'],\n",
    "['Tanul\\xc3\\xa1s',  'Mag\\xc3\\xa1n\\xc3\\xb3ra'],\n",
    "['Sz\\xc3\\xb3rakoz\\xc3\\xb3hely/K\\xc3\\xa1v\\xc3\\xa9z\\xc3\\xb3/Pub'],\n",
    "['S\\xc3\\xa9ta/Kutyas\\xc3\\xa9t\\xc3\\xa1ltat\\xc3\\xa1s', 'Term\\xc3\\xa9szet/Kir\\xc3\\xa1ndul\\xc3\\xa1s'],\n",
    "['Utaz\\xc3\\xa1s/Vezet\\xc3\\xa9s']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#bin activities into activity groups\n",
    "actidict={}\n",
    "for i in range(len(activities)):\n",
    "    for j in range(len(activities[i])):\n",
    "        actidict[activities[i][j]]=i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alvás\n",
      "Zuhany / Mosdó\n",
      "Étkezés Étterem/Vendéglő\n",
      "Munka (irodai) Munka (kétkezi)\n",
      "Internet Telefon/Chat/Facebook\n",
      "Vásárlás\n",
      "Vallásgyakorlás Önkéntesség\n",
      "TV/Film Mozi\n",
      "Olvasás Újság/Keresztrejtvény\n",
      "Házimunka/Gyerekfelügyelet\n",
      "Hivatalos elintéznivalók\n",
      "Sport Edzőterem/Szépségszalon\n",
      "Egyéb Hobby PC játék Kertészkedés/Barkácsolás Rokonlátogatás Más\n",
      "Tanulás Magánóra\n",
      "Szórakozóhely/Kávézó/Pub\n",
      "Séta/Kutyasétáltatás Természet/Kirándulás\n",
      "Utazás/Vezetés\n"
     ]
    }
   ],
   "source": [
    "#binned activities into activity groups\n",
    "for i in activities:\n",
    "    for j in i:\n",
    "        print j,\n",
    "    print "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# run only once\n",
    "hkoz.columns=hkoz.loc[0].values\n",
    "hkoz=hkoz[1:].drop(0,axis=1)\n",
    "hetv.columns=hetv.loc[0].values\n",
    "hetv=hetv[1:].drop(0,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#extract and linearize data from pandas dataframe\n",
    "hkozdata={}\n",
    "for i in hkoz.index:\n",
    "    index=hkoz.loc[i].index\n",
    "    values=hkoz.loc[i].values\n",
    "    helper=[]\n",
    "    for j in range(len(values)):\n",
    "        if str(values[j]).lower()!='nan':\n",
    "            helper.append(index[j])\n",
    "    hkozdata[i]=helper                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#extract and linearize data from pandas dataframe\n",
    "hetvdata={}\n",
    "for i in hetv.index:\n",
    "    index=hetv.loc[i].index\n",
    "    values=hetv.loc[i].values\n",
    "    helper=[]\n",
    "    for j in range(len(values)):\n",
    "        if str(values[j]).lower()!='nan':\n",
    "            helper.append(index[j])\n",
    "    hetvdata[i]=helper                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create timematrix - timeslice:activity list\n",
    "j=1\n",
    "timematrix={}\n",
    "for i in hkozdata[j]:\n",
    "    activity=i[:i.find('-')-1]\n",
    "    timeslice=i[i.find('-')+2:]\n",
    "    if timeslice not in timematrix:timematrix[timeslice]=[]\n",
    "    timematrix[timeslice].append(actidict[activity])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create correct timeslice order to start day at 04:00\n",
    "parseorder=np.roll(np.sort(timematrix.keys()),-2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create output list, with shared timeslots\n",
    "output=[]\n",
    "for k in range(len(parseorder)):\n",
    "    helper=timematrix[parseorder[k]]\n",
    "    np.random.shuffle(helper)\n",
    "    output.append(helper[:3]) #max 3 activities within 90 minutes, but create 3 randomized persons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0], [0, 1], [13], [13], [13, 2], [13], [13], [13], [2, 7, 4], [13], [13], [4, 2, 12], [0], [0], [0], [0]]\n"
     ]
    }
   ],
   "source": [
    "print output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 90, 0, 45, 1, 45, 13, 90, 13, 90, 13, 45, 2, 45, 13, 90, 13, 90, 13, 90, 2, 30, 7, 30, 4, 30, 13, 90, 13, 90, 4, 30, 2, 30, 12, 30, 0, 90, 0, 90, 0, 90, 0, 90]\n"
     ]
    }
   ],
   "source": [
    "#create output CSV list: activity, duration, activity, duration, ...\n",
    "output2=[]\n",
    "fixed=90 # survey 90 min timeslices are fixed\n",
    "for k in range(len(output)):\n",
    "    for z in range(len(output[k])):\n",
    "        output2.append(output[k][z])\n",
    "        output2.append(fixed/(len(output[k])))\n",
    "print output2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1440"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#minutes in perfect day\n",
    "sum([output2[i*2+1] for i in range(len(output2)/2)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 140, 1, 48, 13, 234, 2, 50, 13, 272, 2, 24, 7, 30, 4, 33, 13, 173, 4, 34, 2, 24, 12, 26, 0, 351]\n"
     ]
    }
   ],
   "source": [
    "#create output CSV list: activity, duration, activity, duration, ... including pruning\n",
    "output2=[]\n",
    "fixed=90 # survey 90 min timeslices are fixed\n",
    "current=999\n",
    "for k in range(len(output)):\n",
    "    for z in range(len(output[k])):\n",
    "        if output[k][z]!=current:\n",
    "            current=output[k][z]\n",
    "            output2.append(output[k][z])\n",
    "            output2.append(fixed/(len(output[k]))-10+int(np.random.uniform(20))) #randomize a bit better movement\n",
    "        else:\n",
    "            output2[-1]+=fixed/(len(output[k]))        \n",
    "print output2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1439"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum([output2[i*2+1] for i in range(len(output2)/2)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse all data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "instances=2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#create timematrix - timeslice:activity list\n",
    "output4=[]\n",
    "for j in hkozdata:\n",
    "    timematrix={}\n",
    "    for i in hkozdata[j]:\n",
    "        activity=i[:i.find('-')-1]\n",
    "        timeslice=i[i.find('-')+2:]\n",
    "        if timeslice not in timematrix:timematrix[timeslice]=[]\n",
    "        timematrix[timeslice].append(actidict[activity])\n",
    "    #create correct timeslice order to start day at 04:00\n",
    "    parseorder=np.roll(np.sort(timematrix.keys()),-2)\n",
    "    #create output list, with shared timeslots\n",
    "    for x in range(instances): #create 3 randomized person-instances\n",
    "        output=[]\n",
    "        for k in range(len(parseorder)):\n",
    "            helper=timematrix[parseorder[k]]\n",
    "            np.random.shuffle(helper)\n",
    "            output.append(helper[:3]) #max 3 activities within 90 minutes, but create 3 randomized persons\n",
    "        #create output CSV list: activity, duration, activity, duration, ...\n",
    "        output2=[]\n",
    "        fixed=90 # survey 90 min timeslices are fixed\n",
    "        current=999\n",
    "        for k in range(len(output)):\n",
    "            for z in range(len(output[k])):\n",
    "                if output[k][z]!=current:\n",
    "                    current=output[k][z]\n",
    "                    output2.append(output[k][z])\n",
    "                    output2.append(int(fixed*1.0/(len(output[k])))-10+int(np.random.uniform(20)))\n",
    "                else:\n",
    "                    output2[-1]+=fixed/(len(output[k])) \n",
    "        output4.append(str(output2)[1:-1].replace(' ',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "savedata=pd.DataFrame(output4)\n",
    "savedata.columns=['day']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "savedata.to_csv('hkoz.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#create timematrix - timeslice:activity list\n",
    "output5=[]\n",
    "for j in hetvdata:\n",
    "    timematrix={}\n",
    "    for i in hetvdata[j]:\n",
    "        activity=i[:i.find('-')-1]\n",
    "        timeslice=i[i.find('-')+2:]\n",
    "        if timeslice not in timematrix:timematrix[timeslice]=[]\n",
    "        timematrix[timeslice].append(actidict[activity])\n",
    "    #create correct timeslice order to start day at 04:00\n",
    "    parseorder=np.roll(np.sort(timematrix.keys()),-2)\n",
    "    #create output list, with shared timeslots\n",
    "    for x in range(instances): #create 3 randomized person-instances\n",
    "        output=[]\n",
    "        for k in range(len(parseorder)):\n",
    "            helper=timematrix[parseorder[k]]\n",
    "            np.random.shuffle(helper)\n",
    "            output.append(helper[:3]) #max 3 activities within 90 minutes, but create 3 randomized persons\n",
    "        #create output CSV list: activity, duration, activity, duration, ...\n",
    "        output2=[]\n",
    "        fixed=90 # survey 90 min timeslices are fixed\n",
    "        current=999\n",
    "        for k in range(len(output)):\n",
    "            for z in range(len(output[k])):\n",
    "                if output[k][z]!=current:\n",
    "                    current=output[k][z]\n",
    "                    output2.append(output[k][z])\n",
    "                    output2.append(int(fixed*1.0/(len(output[k])))-10+int(np.random.uniform(20)))\n",
    "                else:\n",
    "                    output2[-1]+=fixed/(len(output[k])) \n",
    "        output5.append(str(output2)[1:-1].replace(' ',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "savedata=pd.DataFrame(output5)\n",
    "savedata.columns=['day']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "savedata.to_csv('hetv.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "532"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(savedata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "colorsdict={\n",
    "\"0\": \"#e0d400\",\n",
    "\"1\": \"#1c8af9\",\n",
    "\"2\": \"#51BC05\",\n",
    "\"3\": \"#FF7F00\",\n",
    "\"4\": \"#DB32A4\",\n",
    "\"5\": \"#00CDF8\",\n",
    "\"6\": \"#E63B60\",\n",
    "\"7\": \"#8E5649\",\n",
    "\"8\": \"#68c99e\",\n",
    "\"9\": \"#a477c8\",\n",
    "\"10\": \"#5C76EC\",\n",
    "\"11\": \"#E773C3\",\n",
    "\"12\": \"#799fd2\",\n",
    "\"13\": \"#038a6c\",\n",
    "\"14\": \"#cc87fa\",\n",
    "\"15\": \"#ee8e76\",\n",
    "\"16\": \"#bbbbbb\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "colors=[colorsdict[str(i)] for i in range(len(colorsdict))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1428 1437 1120 1071 979 996 1332 1378 1374 1423 1411 1384 1405 1423 1403 1325 1472 1413 1415 1433 1365 1351 1397 1437 1416 1420 1465 1428 1416 1431 1456 1454 1500 1464 1493 1411 1431 1450 1444 1481 1481 1420 1396 1404 1433 1431 1430 1413 1424 1453 1423 1418 1452 1400 1443 1412 1460 1424 1436 1445 1467 1444 1441 1422 1454 1435 1430 1441 1359 1349 1346 1347 1407 1462 1479 1419 1497 1431 190 179 1436 1433 1425 1453 1444 1415 1349 1364 1368 1422 1428 1421 1427 1439 1417 1438 1473 1441 1432 1439 1328 1358 1472 1427 1492 1422 1248 1331 1419 1461 1370 1335 1115 1059 1456 1476 1404 1469 1478 1409 1459 1427 1278 1236 275 269 1347 1377 1436 1471 1421 1469 1443 1412 1455 1411 1411 1419 946 963 1363 1337 1329 1362 1421 1466 1428 1455 1413 1455 1483 1482 1418 1442 1475 1493 1447 1404 1411 1450 819 845 1413 1420 1450 1446 1415 1437 1440 1425 1356 1316 1456 1451 1417 1437 1395 1452 1437 1450 1284 1259 1390 1360 1363 1366 1466 1411 827 813 1350 1321 1449 1421 1422 1424 1414 1456 1443 1447 1406 1445 1258 1224 1187 1199 1435 1480 1447 1432 1448 1443 1384 1317 1452 1436 1443 1412 1460 1446 1442 1421 1439 1430 739 733 1414 1435 1061 1068 1358 1337 1442 1491 1416 1471 1354 1338 1441 1434 876 902 1438 1470 1154 1182 1386 1500 900 900 77 88 902 845 1423 1444 1438 1422 1001 979 1430 1449 1418 1426 1416 1511 1330 1383 1459 1483 1445 1473 806 823 1360 1333 1444 1426 85 93 1407 1453 1368 1343 1418 1458 839 815 1445 1438 1346 1327 1373 1323 1404 1467 1454 1435 1404 1424 1435 1400 1438 1425 998 1000 1434 1401 1456 1465 1256 1290 1476 1468 1447 1439 1428 1466 1454 1473 1458 1430 1333 1379 1487 1417 1363 1350 1448 1415 1416 1443 793 804 1384 1451 1442 1431 1423 1447 1284 1244 1223 1250 1403 1497 1343 1359 1448 1427 1334 1309 1425 1432 1396 1427 1441 1430 1328 1386 1433 1441 1448 1452 1399 1344 1289 1237 1411 1404 1466 1488 1470 1402 1448 1461 1452 1444 1348 1350 178 171 1466 1473 1450 1463 173 181 1477 1490 1408 1443 163 171 1451 1409 1440 1463 1465 1424 1440 1460 1448 1433 1319 1342 1344 1354 1127 1092 554 528 823 799 1444 1451 1453 1428 1487 1453 1451 1445 915 894 1445 1445 1469 1421 1451 1408 1448 1422 1424 1416 1188 1186 1432 1408 1448 1465 927 875 1192 1178 1466 1407 1491 1431 1277 1238 1409 1409 329 345 284 268 1477 1428 1267 1254 1074 1097 1467 1428 1428 1452 1441 1434 1404 1404 1474 1460 1457 1455 1416 1453 655 610 1478 1425 1438 1450 1273 1336 1015 970 1496 1442 1347 1369 921 936 1470 1439 1148 1244 1431 1457 1050 1091 1442 1460 1152 1154 1457 1466 301 275 1412 1448 1464 1445 1419 1449 1439 1476 1435 1437 1343 1348 1442 1473 1408 1464 189 183 1435 1422 1462 1464 1412 1424\n",
      "1312.5281954887218\n"
     ]
    }
   ],
   "source": [
    "mdata=[]\n",
    "mlen=[]\n",
    "for k in range(len(output4)):\n",
    "    z=np.array(output4[k].split(',')).astype(int)\n",
    "    data=[]\n",
    "    for i in range(len(z)/2):\n",
    "        for j in range(z[i*2+1]):\n",
    "            data.append(z[i*2])\n",
    "    print len(data),\n",
    "    mdata.append(data)\n",
    "    mlen.append(len(data))\n",
    "print\n",
    "print np.average(mlen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda2\\lib\\site-packages\\ipykernel\\__main__.py:6: FutureWarning: pd.rolling_mean is deprecated for DataFrame and will be removed in a future version, replace with \n",
      "\tDataFrame.rolling(window=60,center=True).mean()\n"
     ]
    }
   ],
   "source": [
    "df=pd.DataFrame(mdata)\n",
    "histdata=[]\n",
    "for i in range(len(df.columns)):\n",
    "    a=np.histogram(df[df.columns[i]],bins=17,range=[-0.5,16.5],normed=True)\n",
    "    histdata.append(a[0])\n",
    "df=pd.rolling_mean(pd.DataFrame(histdata),60,center=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EfcdcOBIlIior71SuEV7Gnbkegf1phCLy5iLHOgbXTSmKhoio9vg2FYW4HuoV2CRqhlYA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u+iJMtIKtm3B71enih1cdqVn4Ofvh0KcxKs0v3wozfAuR+ADa8EIZDS4/Ef/BdMHSazoY1sg4OW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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x174e4860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(5,6))\n",
    "df.plot(legend=False,ax=ax,lw=3,alpha=0.8,color=colors)\n",
    "plt.rcParams['figure.facecolor'] = 'None'\n",
    "plt.rcParams['axes.facecolor'] = 'None'\n",
    "#plt.axis('off')\n",
    "plt.xlim(0,1440)\n",
    "ax.set_xticks([0,180,360,540,720,900,1080,1260,1440])\n",
    "ax.set_xticks([60,240,420,600,780,960,1140,1320])\n",
    "ax.set_xticklabels([\"05:00\",\"08:00\",\"11:00\",\"14:00\",\"17:00\",\"20:00\",\"23:00\",\"02:00\"],fontsize=11)\n",
    "ax.spines['bottom'].set_color('#777777')\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.spines['left'].set_color('none')\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.xaxis.label.set_color('#777777')\n",
    "ax.tick_params(axis='x', colors='#777777')\n",
    "\n",
    "fig.tight_layout()\n",
    "ax.get_yaxis().set_visible(False)\n",
    "plt.savefig('hkoz3.png',facecolor='None',edgecolor='None')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "time['sd']=pd.to_datetime(time['Start Date'])\n",
    "time['ed']=pd.to_datetime(time['End Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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o7Owk+8J5UpKPkHfdihkRERGRm+lTMAkMCmbJsgcJDgmlvq6Os+knuVSYT1VF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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14c7de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jtplot.style(theme='onedork',fscale=1.1, spines=False, grid=False, )\n",
    "fig,ax=plt.subplots(1,1,figsize=(6,4))\n",
    "plt.hist([(time['ed'].sub(time['sd'], axis=0))[1:][i].total_seconds()/60.0 for i in range(1,len(time))],\n",
    "         range=[0,20],bins=range(20),normed=True,color='#ffcc00',alpha=0.8)\n",
    "plt.xlabel(u\"Kérdõív kitöltési ideje (perc)\")\n",
    "plt.ylabel(u\"Válaszadók száazléka (%)\")\n",
    "plt.title(u\"A kérdõívre 7-8 percet szántatok\")\n",
    "def mjrFormatter(x, pos):\n",
    "    return str(int(x*100))\n",
    "ax = plt.gca()\n",
    "ax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(mjrFormatter))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "act_codes = [\n",
    "\t{\"index\": \"15\", \"short\": u\"Kutya\", \"desc\": u\"Sétáltatás | Természet\"},\n",
    "\t{\"index\": \"3\", \"short\": u\"Meló\", \"desc\": u\"Munka (irodai | kétkezi)\"},\n",
    "\t{\"index\": \"7\", \"short\": u\"TV\", \"desc\": u\"TV | Film | Mozi\"},\n",
    "\t{\"index\": \"5\", \"short\": u\"Vásárlás\", \"desc\": u\"Vásárlás | Mall\"},\n",
    "\t{\"index\": \"6\", \"short\": u\"Áhítat\", \"desc\": u\"Vallásgyakorlás | Önkéntesség\"},\n",
    "\t{\"index\": \"4\", \"short\": u\"Net\", \"desc\": u\"Internet | Telefon | Facebook\"},\n",
    "\t{\"index\": \"1\", \"short\": u\"Zuhany\", \"desc\": u\"Zuhany | Mosdó\"},\n",
    "\t{\"index\": \"8\", \"short\": u\"Olvasás\", \"desc\": u\"Könyv | Újság | Keresztrejtvény\"},\n",
    "\t{\"index\": \"9\", \"short\": u\"Otthon\", \"desc\": u\"Házimunka | Gyerekfelügyelet\"},\n",
    "\t{\"index\": \"0\", \"short\": u\"Szundi\", \"desc\": u\"Alvás\"},\n",
    "\t{\"index\": \"11\", \"short\": u\"Sport\", \"desc\": u\"Edzés | Edzőterem | Szaladás\"},\n",
    "\t{\"index\": \"12\", \"short\": u\"Hobby\", \"desc\": u\"Kertészkedés | Barkácsolás | Rokonok\"},\n",
    "\t{\"index\": \"2\", \"short\": u\"Kaja\", \"desc\": u\"Étkezés | Étterem\"},\n",
    "\t{\"index\": \"14\", \"short\": u\"Sör\", \"desc\": u\"Kávézó | Pub | Szórakozóhely\"},\n",
    "\t{\"index\": \"13\", \"short\": u\"Suli\", \"desc\": u\"Tanulás | Magánóra\"},\n",
    "\t{\"index\": \"10\", \"short\": u\"Hivatal\", \"desc\": u\"Hivatalos elintéznivalók\"},\n",
    "\t{\"index\": \"16\", \"short\": u\"Úton\", \"desc\": u\"Utazás | Vezetés\"},\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "labels={i['index']:i['short'] for i in act_codes}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=17, step=1)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rO3W11Rw/ss+kxu7ylesxMzfn0P5dvb5uRXkpubdXl8pIS2bVug04u7hRWVFG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\nIeYtXDqqinJ0Btce2qaOc1e2D5flCypYc00JAB9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mZ1Bw5OCQxXe5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14a8c048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jtplot.style(theme='onedork',fscale=1.1, spines=False, grid=False, )\n",
    "fig,ax=plt.subplots(1,1,figsize=(6,4))\n",
    "for i in df.columns:\n",
    "    plt.plot(df[i],label=labels[str(i)],color=colors[i],alpha=0.9,lw=2)\n",
    "plt.xlim(0,1440)\n",
    "ax.set_xticks([60,240,420,600,780,960,1140,1320])\n",
    "ax.set_xticklabels([\"05:00\",\"08:00\",\"11:00\",\"14:00\",\"17:00\",\"20:00\",\"23:00\",\"02:00\"],fontsize=11)\n",
    "#plt.xlabel(u\"Kérdõív kitöltési ideje (perc)\")\n",
    "plt.ylabel(u\"Tevékenységek eloszlása (%)\")\n",
    "plt.title(u\"Egy átlagos erdélyi hétköznap rutinja\")\n",
    "def mjrFormatter(x, pos):\n",
    "    return str(int(x*100))\n",
    "ax = plt.gca()\n",
    "ax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(mjrFormatter))\n",
    "ax.legend(bbox_to_anchor=(1.25, 1.05),fontsize=9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Oi8XPz5/dO7be9NzusJg7d4FaW1s7vG4CTcGoVHD/w092WYaigIend7evqVLBvQ/9A2q1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\nNDIPm8p4GPj8WCjbvYOwT6rpl8BSTgv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4L/BBZXjiDtQuW699HOFzOJA1LaD3FYRAOn/u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fAAAg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7V0FACwLtNRojU3tYo1RiX3cX3z7ZQm1EpsbkQzAYCCtJkrpCBpWMAcImHb2qHkfBegRB4GrE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\nODg4ODg4OFwWjqB0cHBwcHBwcHC4LP5/wSU07xzlvbYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17d67128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jtplot.style(theme='onedork',fscale=1.1, spines=False, grid=False, )\n",
    "fig,ax=plt.subplots(1,1,figsize=(6,4))\n",
    "toplot=[]\n",
    "tolabel=[]\n",
    "for i in df.columns[::-1]:\n",
    "    toplot.append(df[i])\n",
    "    tolabel.append(labels[str(i)])\n",
    "plt.stackplot(df.index,toplot,colors=colors[::-1],alpha=0.9,labels=tolabel)\n",
    "plt.xlim(0,1440)\n",
    "plt.ylim(0,1)\n",
    "ax.set_xticks([60,240,420,600,780,960,1140,1320])\n",
    "ax.set_xticklabels([\"05:00\",\"08:00\",\"11:00\",\"14:00\",\"17:00\",\"20:00\",\"23:00\",\"02:00\"],fontsize=11)\n",
    "#plt.xlabel(u\"Kérdõív kitöltési ideje (perc)\")\n",
    "plt.ylabel(u\"Tevékenységek eloszlása (%)\")\n",
    "plt.title(u\"Egy átlagos erdélyi hétköznap rutinja\")\n",
    "def mjrFormatter(x, pos):\n",
    "    return str(int(x*100))\n",
    "ax = plt.gca()\n",
    "ax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(mjrFormatter))\n",
    "ax.legend()\n",
    "#reverse legend order\n",
    "handles, labls = ax.get_legend_handles_labels()\n",
    "ax.legend(handles[::-1], labls[::-1], bbox_to_anchor=(1.25, 1.05),fontsize=9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Ha MÁS-t is ikszeltél a kérdéseknél, itt leírhatod mire gondoltál (opcionális)</th>\n",
       "      <th>Életkor</th>\n",
       "      <th>Nem</th>\n",
       "      <th>Környezet</th>\n",
       "      <th>Megjegyzések</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Open-Ended Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Open-Ended Response</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nem szeretném megadni</td>\n",
       "      <td>A környezet változó lévén,hogy egyetemista vag...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45-55</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45-55</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;18</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45-55</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>Nehézkes a kitöltés és nem 7 perc volt: jó len...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>együttlét barátokkal, közösségekben; kulturáli...</td>\n",
       "      <td>55-65</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>Szerintem a kulturális eseményeken való részvé...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55-65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55-65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55-65</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45-55</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55-65</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>76</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45-55</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55-65</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>79</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>Nem vagyok Szekely es nem Romaniaban elek...ha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>82</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35-45</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45-55</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Kisváros (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18-25</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Vidék (Románia)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Nagyváros (Románia, 100.000-nél több lakos)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Nő</td>\n",
       "      <td>Magyarország</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25-35</td>\n",
       "      <td>Férfi</td>\n",
       "      <td>Külföld</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>267 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  \\\n",
       "0        0   \n",
       "1        1   \n",
       "2        2   \n",
       "3        3   \n",
       "4        4   \n",
       "5        5   \n",
       "6        6   \n",
       "7        7   \n",
       "8        8   \n",
       "9        9   \n",
       "10      10   \n",
       "11      11   \n",
       "12      12   \n",
       "13      13   \n",
       "14      14   \n",
       "15      15   \n",
       "16      16   \n",
       "17      17   \n",
       "18      18   \n",
       "19      19   \n",
       "20      20   \n",
       "21      21   \n",
       "22      22   \n",
       "23      23   \n",
       "24      24   \n",
       "25      25   \n",
       "26      26   \n",
       "27       1   \n",
       "28       2   \n",
       "29       3   \n",
       "..     ...   \n",
       "237     68   \n",
       "238     69   \n",
       "239     70   \n",
       "240     71   \n",
       "241     72   \n",
       "242     73   \n",
       "243     74   \n",
       "244     75   \n",
       "245     76   \n",
       "246     77   \n",
       "247     78   \n",
       "248     79   \n",
       "249     80   \n",
       "250     81   \n",
       "251     82   \n",
       "252     83   \n",
       "253     84   \n",
       "254     85   \n",
       "255     86   \n",
       "256     87   \n",
       "257     88   \n",
       "258     89   \n",
       "259     90   \n",
       "260     91   \n",
       "261     92   \n",
       "262     93   \n",
       "263     94   \n",
       "264     95   \n",
       "265     96   \n",
       "266     97   \n",
       "\n",
       "    Ha MÁS-t is ikszeltél a kérdéseknél, itt leírhatod mire gondoltál (opcionális)  \\\n",
       "0                                  Open-Ended Response                               \n",
       "1                                                  NaN                               \n",
       "2                                                  NaN                               \n",
       "3                                                  NaN                               \n",
       "4                                                  NaN                               \n",
       "5                                                  NaN                               \n",
       "6                                                  NaN                               \n",
       "7                                                  NaN                               \n",
       "8                                                  NaN                               \n",
       "9                                                  NaN                               \n",
       "10                                                 NaN                               \n",
       "11                                                 NaN                               \n",
       "12                                                 NaN                               \n",
       "13                                                 NaN                               \n",
       "14                                                 NaN                               \n",
       "15                                                 NaN                               \n",
       "16                                                 NaN                               \n",
       "17                                                 NaN                               \n",
       "18                                                 NaN                               \n",
       "19                                                 NaN                               \n",
       "20                                                 NaN                               \n",
       "21                                                 NaN                               \n",
       "22                                                 NaN                               \n",
       "23   együttlét barátokkal, közösségekben; kulturáli...                               \n",
       "24                                                 NaN                               \n",
       "25                                                 NaN                               \n",
       "26                                                 NaN                               \n",
       "27                                                 NaN                               \n",
       "28                                                 NaN                               \n",
       "29                                                 NaN                               \n",
       "..                                                 ...                               \n",
       "237                                                NaN                               \n",
       "238                                                NaN                               \n",
       "239                                                NaN                               \n",
       "240                                                NaN                               \n",
       "241                                                NaN                               \n",
       "242                                                NaN                               \n",
       "243                                                NaN                               \n",
       "244                                                NaN                               \n",
       "245                                                NaN                               \n",
       "246                                                NaN                               \n",
       "247                                                NaN                               \n",
       "248                                                NaN                               \n",
       "249                                                NaN                               \n",
       "250                                                NaN                               \n",
       "251                                                NaN                               \n",
       "252                                                NaN                               \n",
       "253                                                NaN                               \n",
       "254                                                NaN                               \n",
       "255                                                NaN                               \n",
       "256                                                NaN                               \n",
       "257                                                NaN                               \n",
       "258                                                NaN                               \n",
       "259                                                NaN                               \n",
       "260                                                NaN                               \n",
       "261                                                NaN                               \n",
       "262                                                NaN                               \n",
       "263                                                NaN                               \n",
       "264                                                NaN                               \n",
       "265                                                NaN                               \n",
       "266                                                NaN                               \n",
       "\n",
       "      Életkor       Nem                                    Környezet  \\\n",
       "0    Response  Response                                     Response   \n",
       "1       18-25     Férfi                              Vidék (Románia)   \n",
       "2       18-25        Nő                              Vidék (Románia)   \n",
       "3       18-25        Nő                              Vidék (Románia)   \n",
       "4       25-35     Férfi                           Kisváros (Románia)   \n",
       "5       18-25     Férfi                        Nem szeretném megadni   \n",
       "6       25-35     Férfi                           Kisváros (Románia)   \n",
       "7       45-55     Férfi                              Vidék (Románia)   \n",
       "8       25-35     Férfi                                      Külföld   \n",
       "9       25-35     Férfi                           Kisváros (Románia)   \n",
       "10      35-45     Férfi                                 Magyarország   \n",
       "11      25-35        Nő                           Kisváros (Románia)   \n",
       "12      25-35        Nő  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "13      35-45        Nő                                 Magyarország   \n",
       "14      45-55     Férfi                           Kisváros (Románia)   \n",
       "15      35-45     Férfi                           Kisváros (Románia)   \n",
       "16        <18        Nő  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "17      35-45     Férfi                                 Magyarország   \n",
       "18      35-45        Nő                           Kisváros (Románia)   \n",
       "19      35-45        Nő                              Vidék (Románia)   \n",
       "20      45-55        Nő                           Kisváros (Románia)   \n",
       "21      18-25        Nő  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "22      25-35     Férfi                           Kisváros (Románia)   \n",
       "23      55-65        Nő                           Kisváros (Románia)   \n",
       "24      18-25        Nő  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "25      18-25        Nő                                 Magyarország   \n",
       "26      25-35     Férfi                                      Külföld   \n",
       "27      25-35        Nő  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "28      55-65       NaN                           Kisváros (Románia)   \n",
       "29      55-65       NaN                           Kisváros (Románia)   \n",
       "..        ...       ...                                          ...   \n",
       "237     25-35     Férfi                           Kisváros (Románia)   \n",
       "238     35-45        Nő                           Kisváros (Románia)   \n",
       "239     55-65        Nő                           Kisváros (Románia)   \n",
       "240     25-35     Férfi  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "241     45-55     Férfi                                 Magyarország   \n",
       "242     25-35       NaN                              Vidék (Románia)   \n",
       "243     55-65        Nő                           Kisváros (Románia)   \n",
       "244     25-35     Férfi                              Vidék (Románia)   \n",
       "245     35-45        Nő                           Kisváros (Románia)   \n",
       "246     45-55        Nő                           Kisváros (Románia)   \n",
       "247     55-65        Nő                           Kisváros (Románia)   \n",
       "248     25-35     Férfi                           Kisváros (Románia)   \n",
       "249     25-35     Férfi  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "250     35-45     Férfi  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "251     18-25     Férfi                                 Magyarország   \n",
       "252     25-35     Férfi                                      Külföld   \n",
       "253     35-45     Férfi                           Kisváros (Románia)   \n",
       "254     45-55     Férfi                           Kisváros (Románia)   \n",
       "255     18-25     Férfi                              Vidék (Románia)   \n",
       "256     25-35     Férfi                           Kisváros (Románia)   \n",
       "257     25-35     Férfi  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "258     25-35        Nő                                 Magyarország   \n",
       "259     18-25     Férfi                                      Külföld   \n",
       "260     18-25     Férfi  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "261     18-25     Férfi                              Vidék (Románia)   \n",
       "262     25-35     Férfi  Nagyváros (Románia, 100.000-nél több lakos)   \n",
       "263     25-35        Nő                                      Külföld   \n",
       "264     25-35        Nő                                 Magyarország   \n",
       "265     25-35     Férfi                                      Külföld   \n",
       "266     25-35     Férfi                                      Külföld   \n",
       "\n",
       "                                          Megjegyzések  \n",
       "0                                  Open-Ended Response  \n",
       "1                                                  NaN  \n",
       "2                                                  NaN  \n",
       "3                                                  NaN  \n",
       "4                                                  NaN  \n",
       "5    A környezet változó lévén,hogy egyetemista vag...  \n",
       "6                                                  NaN  \n",
       "7                                                  NaN  \n",
       "8                                                  NaN  \n",
       "9                                                  NaN  \n",
       "10                                                 NaN  \n",
       "11                                                 NaN  \n",
       "12                                                 NaN  \n",
       "13                                                 NaN  \n",
       "14                                                 NaN  \n",
       "15                                                 NaN  \n",
       "16                                                 NaN  \n",
       "17                                                 NaN  \n",
       "18                                                 NaN  \n",
       "19                                                 NaN  \n",
       "20   Nehézkes a kitöltés és nem 7 perc volt: jó len...  \n",
       "21                                                 NaN  \n",
       "22                                                 NaN  \n",
       "23   Szerintem a kulturális eseményeken való részvé...  \n",
       "24                                                 NaN  \n",
       "25                                                 NaN  \n",
       "26                                                 NaN  \n",
       "27                                                 NaN  \n",
       "28                                                 NaN  \n",
       "29                                                 NaN  \n",
       "..                                                 ...  \n",
       "237                                                NaN  \n",
       "238                                                NaN  \n",
       "239                                                NaN  \n",
       "240                                                NaN  \n",
       "241                                                NaN  \n",
       "242                                                NaN  \n",
       "243                                                NaN  \n",
       "244                                                NaN  \n",
       "245                                                NaN  \n",
       "246                                                NaN  \n",
       "247                                                NaN  \n",
       "248                                                NaN  \n",
       "249                                                NaN  \n",
       "250  Nem vagyok Szekely es nem Romaniaban elek...ha...  \n",
       "251                                                NaN  \n",
       "252                                                NaN  \n",
       "253                                                NaN  \n",
       "254                                                NaN  \n",
       "255                                                NaN  \n",
       "256                                                NaN  \n",
       "257                                                NaN  \n",
       "258                                                NaN  \n",
       "259                                                NaN  \n",
       "260                                                NaN  \n",
       "261                                                NaN  \n",
       "262                                                NaN  \n",
       "263                                                NaN  \n",
       "264                                                NaN  \n",
       "265                                                NaN  \n",
       "266                                                NaN  \n",
       "\n",
       "[267 rows x 6 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desc"
   ]
  }
 ],
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