{
 "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",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "from jupyterthemes import jtplot\n",
    "# oceans16 | grade3 | chesterish | onedork | monokai | solarizedl\n",
    "jtplot.style('solarized-light')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df=pd.concat([pd.read_csv('db/exportPivot_POP107D ('+str(i)+').csv') for i in range(0,26)],axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>Varste si grupe de varsta</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Judete</th>\n",
       "      <th>Localitati</th>\n",
       "      <th>Ani</th>\n",
       "      <th>UM: Numar persoane</th>\n",
       "      <th>Valoare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2009</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2010</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2011</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2012</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2013</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Varste si grupe de varsta       Sexe     Judete  \\\n",
       "0                  0- 4 ani   Masculin   Harghita   \n",
       "1                  0- 4 ani   Masculin   Harghita   \n",
       "2                  0- 4 ani   Masculin   Harghita   \n",
       "3                  0- 4 ani   Masculin   Harghita   \n",
       "4                  0- 4 ani   Masculin   Harghita   \n",
       "\n",
       "                        Localitati          Ani  UM: Numar persoane   Valoare  \n",
       "0   83320 MUNICIPIUL MIERCUREA CIUC   Anul 2009      Numar persoane      1150  \n",
       "1   83320 MUNICIPIUL MIERCUREA CIUC   Anul 2010      Numar persoane      1165  \n",
       "2   83320 MUNICIPIUL MIERCUREA CIUC   Anul 2011      Numar persoane      1119  \n",
       "3   83320 MUNICIPIUL MIERCUREA CIUC   Anul 2012      Numar persoane      1103  \n",
       "4   83320 MUNICIPIUL MIERCUREA CIUC   Anul 2013      Numar persoane      1075  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'Varste si grupe de varsta', u' Sexe', u' Judete', u' Localitati ',\n",
       "       u' Ani', u' UM: Numar persoane', u' Valoare'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JfohIREQk8Pz1owb+uLEem/1cm83uZv2BFnactPHEtdGMTbXy9486JqPOtzuvjZc21fP4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\nERERuRQDUkRERERERERE5FL/H0i1RnwzqMVJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe174ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(14,3))\n",
    "sns.stripplot(x=u' Judete', y=' Valoare', hue=' Sexe', split=True,\\\n",
    "               data=df[df[' Ani']==' Anul 2017'], ax=ax, jitter=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "could not convert string to float: Valoare",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-88-3bb02567d4f3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     19\u001b[0m   \u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m' Sexe'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m==\u001b[0m\u001b[1;34m' Masculin'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m&\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m   \u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m' Ani'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m==\u001b[0m\u001b[1;34m' Anul 2017'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m   ].set_index('Varste si grupe de varsta').mean())\n\u001b[0m\u001b[1;32m     22\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\pyplot.pyc\u001b[0m in \u001b[0;36mplot\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   3159\u001b[0m         \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhold\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhold\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   3160\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3161\u001b[0;31m         \u001b[0mret\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3162\u001b[0m     \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   3163\u001b[0m         \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhold\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwashold\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\__init__.pyc\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1816\u001b[0m                     warnings.warn(msg % (label_namer, func.__name__),\n\u001b[1;32m   1817\u001b[0m                                   RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1818\u001b[0;31m             \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1819\u001b[0m         \u001b[0mpre_doc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minner\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1820\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mpre_doc\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\axes\\_axes.pyc\u001b[0m in \u001b[0;36mplot\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1381\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1382\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_lines\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1383\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_line\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1384\u001b[0m             \u001b[0mlines\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1385\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\axes\\_base.pyc\u001b[0m in \u001b[0;36madd_line\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m   1701\u001b[0m             \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_clip_path\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1702\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1703\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_update_line_limits\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1704\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1705\u001b[0m             \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'_line%d'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlines\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\axes\\_base.pyc\u001b[0m in \u001b[0;36m_update_line_limits\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m   1723\u001b[0m         \u001b[0mFigures\u001b[0m \u001b[0mout\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0mlimit\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mgiven\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mupdating\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdataLim\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1724\u001b[0m         \"\"\"\n\u001b[0;32m-> 1725\u001b[0;31m         \u001b[0mpath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_path\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1726\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvertices\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1727\u001b[0m             \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\lines.pyc\u001b[0m in \u001b[0;36mget_path\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    936\u001b[0m         \"\"\"\n\u001b[1;32m    937\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_invalidy\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_invalidx\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrecache\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    939\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_path\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    940\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\matplotlib\\lines.pyc\u001b[0m in \u001b[0;36mrecache\u001b[0;34m(self, always)\u001b[0m\n\u001b[1;32m    623\u001b[0m                 \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxconv\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat_\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfilled\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    624\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 625\u001b[0;31m                 \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxconv\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat_\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    626\u001b[0m             \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    627\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Anaconda2\\lib\\site-packages\\numpy\\core\\numeric.pyc\u001b[0m in \u001b[0;36masarray\u001b[0;34m(a, dtype, order)\u001b[0m\n\u001b[1;32m    480\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    481\u001b[0m     \"\"\"\n\u001b[0;32m--> 482\u001b[0;31m     \u001b[1;32mreturn\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    483\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    484\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0masanyarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: Valoare"
     ]
    },
    {
     "data": {
      "image/png": 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fffEVfvt3u9zb7HYHHvqnP+Dbd9+C1cuyUVnXjN/86U387u93IfaS+9h7/usN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\nDz+BmxLOfq7ZpWAryCWcPUjpBoC6wVd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3NHWjoambxM3dzzW73MNWoFVHwUn0bBFKN3c/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\neTfnSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x205386a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1)\n",
    "pd.concat([df[(df[' Localitati ']==' 83320 MUNICIPIUL MIERCUREA CIUC')&\n",
    "  (df[' Sexe']==' Masculin')&\n",
    "  (df[' Ani']==' Anul 1992')\n",
    "  ].set_index('Varste si grupe de varsta'),\n",
    "df[(df[' Localitati ']==' 83320 MUNICIPIUL MIERCUREA CIUC')&\n",
    "  (df[' Sexe']==' Masculin')&\n",
    "  (df[' Ani']==' Anul 2002')\n",
    "  ].set_index('Varste si grupe de varsta'),\n",
    "df[(df[' Localitati ']==' 83320 MUNICIPIUL MIERCUREA CIUC')&\n",
    "  (df[' Sexe']==' Masculin')&\n",
    "  (df[' Ani']==' Anul 2012')\n",
    "   ].set_index('Varste si grupe de varsta'),\n",
    "df[(df[' Localitati ']==' 83320 MUNICIPIUL MIERCUREA CIUC')&\n",
    "  (df[' Sexe']==' Masculin')&\n",
    "  (df[' Ani']==' Anul 2017')\n",
    "  ].set_index('Varste si grupe de varsta')],axis=1).plot(kind='bar',ax=ax)\n",
    "plt.plot(df[(df[' Localitati ']==' 83320 MUNICIPIUL MIERCUREA CIUC')&\n",
    "  (df[' Sexe']==' Masculin')&\n",
    "  (df[' Ani']==' Anul 2017')\n",
    "  ].set_index('Varste si grupe de varsta').mean())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       " Valoare    1110.055556\n",
       "dtype: float64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df[' Localitati ']==' 83320 MUNICIPIUL MIERCUREA CIUC')&\n",
    "  (df[' Sexe']==' Masculin')&\n",
    "  (df[' Ani']==' Anul 2017')\n",
    "  ].set_index('Varste si grupe de varsta').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "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>Varste si grupe de varsta</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Judete</th>\n",
       "      <th>Localitati</th>\n",
       "      <th>Ani</th>\n",
       "      <th>UM: Numar persoane</th>\n",
       "      <th>Valoare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2009</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2010</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2011</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2012</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2013</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2014</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2015</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2016</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83320 MUNICIPIUL MIERCUREA CIUC</td>\n",
       "      <td>Anul 2017</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2009</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2010</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2011</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2012</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2013</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2014</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2015</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2016</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83561 MUNICIPIUL  GHEORGHENI</td>\n",
       "      <td>Anul 2017</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2009</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2010</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2011</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2012</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2013</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2014</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2015</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2016</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83632 MUNICIPIUL  TOPLITA</td>\n",
       "      <td>Anul 2017</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83133 MUNICIPIUL ODORHEIU SECUIESC</td>\n",
       "      <td>Anul 2009</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83133 MUNICIPIUL ODORHEIU SECUIESC</td>\n",
       "      <td>Anul 2010</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0- 4 ani</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Harghita</td>\n",
       "      <td>83133 MUNICIPIUL ODORHEIU SECUIESC</td>\n",
       "      <td>Anul 2011</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>1052</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19459</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65048 ZABALA</td>\n",
       "      <td>Anul 2014</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19460</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65048 ZABALA</td>\n",
       "      <td>Anul 2015</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19461</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65048 ZABALA</td>\n",
       "      <td>Anul 2016</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19462</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65048 ZABALA</td>\n",
       "      <td>Anul 2017</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19463</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1992</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19464</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1993</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19465</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1994</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19466</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1995</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19467</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1996</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19468</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1997</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19469</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1998</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19470</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 1999</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19471</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2000</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19472</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2001</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19473</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2002</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19474</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2003</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19475</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2004</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19476</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2005</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19477</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2006</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19478</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2007</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19479</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2008</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19480</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2009</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19481</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2010</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19482</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2011</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19483</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2012</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19484</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2013</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19485</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2014</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19486</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2015</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19487</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2016</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19488</th>\n",
       "      <td>85 ani si peste</td>\n",
       "      <td>Masculin</td>\n",
       "      <td>Covasna</td>\n",
       "      <td>65011 ZAGON</td>\n",
       "      <td>Anul 2017</td>\n",
       "      <td>Numar persoane</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>552092 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Varste si grupe de varsta       Sexe     Judete  \\\n",
       "0                      0- 4 ani   Masculin   Harghita   \n",
       "1                      0- 4 ani   Masculin   Harghita   \n",
       "2                      0- 4 ani   Masculin   Harghita   \n",
       "3                      0- 4 ani   Masculin   Harghita   \n",
       "4                      0- 4 ani   Masculin   Harghita   \n",
       "5                      0- 4 ani   Masculin   Harghita   \n",
       "6                      0- 4 ani   Masculin   Harghita   \n",
       "7                      0- 4 ani   Masculin   Harghita   \n",
       "8                      0- 4 ani   Masculin   Harghita   \n",
       "9                      0- 4 ani   Masculin   Harghita   \n",
       "10                     0- 4 ani   Masculin   Harghita   \n",
       "11                     0- 4 ani   Masculin   Harghita   \n",
       "12                     0- 4 ani   Masculin   Harghita   \n",
       "13                     0- 4 ani   Masculin   Harghita   \n",
       "14                     0- 4 ani   Masculin   Harghita   \n",
       "15                     0- 4 ani   Masculin   Harghita   \n",
       "16                     0- 4 ani   Masculin   Harghita   \n",
       "17                     0- 4 ani   Masculin   Harghita   \n",
       "18                     0- 4 ani   Masculin   Harghita   \n",
       "19                     0- 4 ani   Masculin   Harghita   \n",
       "20                     0- 4 ani   Masculin   Harghita   \n",
       "21                     0- 4 ani   Masculin   Harghita   \n",
       "22                     0- 4 ani   Masculin   Harghita   \n",
       "23                     0- 4 ani   Masculin   Harghita   \n",
       "24                     0- 4 ani   Masculin   Harghita   \n",
       "25                     0- 4 ani   Masculin   Harghita   \n",
       "26                     0- 4 ani   Masculin   Harghita   \n",
       "27                     0- 4 ani   Masculin   Harghita   \n",
       "28                     0- 4 ani   Masculin   Harghita   \n",
       "29                     0- 4 ani   Masculin   Harghita   \n",
       "...                         ...        ...        ...   \n",
       "19459           85 ani si peste   Masculin    Covasna   \n",
       "19460           85 ani si peste   Masculin    Covasna   \n",
       "19461           85 ani si peste   Masculin    Covasna   \n",
       "19462           85 ani si peste   Masculin    Covasna   \n",
       "19463           85 ani si peste   Masculin    Covasna   \n",
       "19464           85 ani si peste   Masculin    Covasna   \n",
       "19465           85 ani si peste   Masculin    Covasna   \n",
       "19466           85 ani si peste   Masculin    Covasna   \n",
       "19467           85 ani si peste   Masculin    Covasna   \n",
       "19468           85 ani si peste   Masculin    Covasna   \n",
       "19469           85 ani si peste   Masculin    Covasna   \n",
       "19470           85 ani si peste   Masculin    Covasna   \n",
       "19471           85 ani si peste   Masculin    Covasna   \n",
       "19472           85 ani si peste   Masculin    Covasna   \n",
       "19473           85 ani si peste   Masculin    Covasna   \n",
       "19474           85 ani si peste   Masculin    Covasna   \n",
       "19475           85 ani si peste   Masculin    Covasna   \n",
       "19476           85 ani si peste   Masculin    Covasna   \n",
       "19477           85 ani si peste   Masculin    Covasna   \n",
       "19478           85 ani si peste   Masculin    Covasna   \n",
       "19479           85 ani si peste   Masculin    Covasna   \n",
       "19480           85 ani si peste   Masculin    Covasna   \n",
       "19481           85 ani si peste   Masculin    Covasna   \n",
       "19482           85 ani si peste   Masculin    Covasna   \n",
       "19483           85 ani si peste   Masculin    Covasna   \n",
       "19484           85 ani si peste   Masculin    Covasna   \n",
       "19485           85 ani si peste   Masculin    Covasna   \n",
       "19486           85 ani si peste   Masculin    Covasna   \n",
       "19487           85 ani si peste   Masculin    Covasna   \n",
       "19488           85 ani si peste   Masculin    Covasna   \n",
       "\n",
       "                               Localitati          Ani  UM: Numar persoane  \\\n",
       "0          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2009      Numar persoane   \n",
       "1          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2010      Numar persoane   \n",
       "2          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2011      Numar persoane   \n",
       "3          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2012      Numar persoane   \n",
       "4          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2013      Numar persoane   \n",
       "5          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2014      Numar persoane   \n",
       "6          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2015      Numar persoane   \n",
       "7          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2016      Numar persoane   \n",
       "8          83320 MUNICIPIUL MIERCUREA CIUC   Anul 2017      Numar persoane   \n",
       "9             83561 MUNICIPIUL  GHEORGHENI   Anul 2009      Numar persoane   \n",
       "10            83561 MUNICIPIUL  GHEORGHENI   Anul 2010      Numar persoane   \n",
       "11            83561 MUNICIPIUL  GHEORGHENI   Anul 2011      Numar persoane   \n",
       "12            83561 MUNICIPIUL  GHEORGHENI   Anul 2012      Numar persoane   \n",
       "13            83561 MUNICIPIUL  GHEORGHENI   Anul 2013      Numar persoane   \n",
       "14            83561 MUNICIPIUL  GHEORGHENI   Anul 2014      Numar persoane   \n",
       "15            83561 MUNICIPIUL  GHEORGHENI   Anul 2015      Numar persoane   \n",
       "16            83561 MUNICIPIUL  GHEORGHENI   Anul 2016      Numar persoane   \n",
       "17            83561 MUNICIPIUL  GHEORGHENI   Anul 2017      Numar persoane   \n",
       "18               83632 MUNICIPIUL  TOPLITA   Anul 2009      Numar persoane   \n",
       "19               83632 MUNICIPIUL  TOPLITA   Anul 2010      Numar persoane   \n",
       "20               83632 MUNICIPIUL  TOPLITA   Anul 2011      Numar persoane   \n",
       "21               83632 MUNICIPIUL  TOPLITA   Anul 2012      Numar persoane   \n",
       "22               83632 MUNICIPIUL  TOPLITA   Anul 2013      Numar persoane   \n",
       "23               83632 MUNICIPIUL  TOPLITA   Anul 2014      Numar persoane   \n",
       "24               83632 MUNICIPIUL  TOPLITA   Anul 2015      Numar persoane   \n",
       "25               83632 MUNICIPIUL  TOPLITA   Anul 2016      Numar persoane   \n",
       "26               83632 MUNICIPIUL  TOPLITA   Anul 2017      Numar persoane   \n",
       "27      83133 MUNICIPIUL ODORHEIU SECUIESC   Anul 2009      Numar persoane   \n",
       "28      83133 MUNICIPIUL ODORHEIU SECUIESC   Anul 2010      Numar persoane   \n",
       "29      83133 MUNICIPIUL ODORHEIU SECUIESC   Anul 2011      Numar persoane   \n",
       "...                                    ...         ...                 ...   \n",
       "19459                         65048 ZABALA   Anul 2014      Numar persoane   \n",
       "19460                         65048 ZABALA   Anul 2015      Numar persoane   \n",
       "19461                         65048 ZABALA   Anul 2016      Numar persoane   \n",
       "19462                         65048 ZABALA   Anul 2017      Numar persoane   \n",
       "19463                          65011 ZAGON   Anul 1992      Numar persoane   \n",
       "19464                          65011 ZAGON   Anul 1993      Numar persoane   \n",
       "19465                          65011 ZAGON   Anul 1994      Numar persoane   \n",
       "19466                          65011 ZAGON   Anul 1995      Numar persoane   \n",
       "19467                          65011 ZAGON   Anul 1996      Numar persoane   \n",
       "19468                          65011 ZAGON   Anul 1997      Numar persoane   \n",
       "19469                          65011 ZAGON   Anul 1998      Numar persoane   \n",
       "19470                          65011 ZAGON   Anul 1999      Numar persoane   \n",
       "19471                          65011 ZAGON   Anul 2000      Numar persoane   \n",
       "19472                          65011 ZAGON   Anul 2001      Numar persoane   \n",
       "19473                          65011 ZAGON   Anul 2002      Numar persoane   \n",
       "19474                          65011 ZAGON   Anul 2003      Numar persoane   \n",
       "19475                          65011 ZAGON   Anul 2004      Numar persoane   \n",
       "19476                          65011 ZAGON   Anul 2005      Numar persoane   \n",
       "19477                          65011 ZAGON   Anul 2006      Numar persoane   \n",
       "19478                          65011 ZAGON   Anul 2007      Numar persoane   \n",
       "19479                          65011 ZAGON   Anul 2008      Numar persoane   \n",
       "19480                          65011 ZAGON   Anul 2009      Numar persoane   \n",
       "19481                          65011 ZAGON   Anul 2010      Numar persoane   \n",
       "19482                          65011 ZAGON   Anul 2011      Numar persoane   \n",
       "19483                          65011 ZAGON   Anul 2012      Numar persoane   \n",
       "19484                          65011 ZAGON   Anul 2013      Numar persoane   \n",
       "19485                          65011 ZAGON   Anul 2014      Numar persoane   \n",
       "19486                          65011 ZAGON   Anul 2015      Numar persoane   \n",
       "19487                          65011 ZAGON   Anul 2016      Numar persoane   \n",
       "19488                          65011 ZAGON   Anul 2017      Numar persoane   \n",
       "\n",
       "        Valoare  \n",
       "0          1150  \n",
       "1          1165  \n",
       "2          1119  \n",
       "3          1103  \n",
       "4          1075  \n",
       "5          1040  \n",
       "6          1020  \n",
       "7           975  \n",
       "8           977  \n",
       "9           511  \n",
       "10          547  \n",
       "11          560  \n",
       "12          537  \n",
       "13          513  \n",
       "14          508  \n",
       "15          462  \n",
       "16          434  \n",
       "17          454  \n",
       "18          449  \n",
       "19          446  \n",
       "20          415  \n",
       "21          378  \n",
       "22          373  \n",
       "23          356  \n",
       "24          344  \n",
       "25          324  \n",
       "26          340  \n",
       "27         1087  \n",
       "28         1058  \n",
       "29         1052  \n",
       "...         ...  \n",
       "19459        24  \n",
       "19460        26  \n",
       "19461        23  \n",
       "19462        23  \n",
       "19463        20  \n",
       "19464        20  \n",
       "19465        19  \n",
       "19466        27  \n",
       "19467        26  \n",
       "19468        27  \n",
       "19469        24  \n",
       "19470        20  \n",
       "19471        20  \n",
       "19472        21  \n",
       "19473        22  \n",
       "19474        21  \n",
       "19475        13  \n",
       "19476        15  \n",
       "19477        14  \n",
       "19478        14  \n",
       "19479        19  \n",
       "19480        19  \n",
       "19481        23  \n",
       "19482        27  \n",
       "19483        25  \n",
       "19484        27  \n",
       "19485        22  \n",
       "19486        24  \n",
       "19487        23  \n",
       "19488        25  \n",
       "\n",
       "[552092 rows x 7 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.interpolate()"
   ]
  }
 ],
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