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     "text": [
      "Prezzi e quantità:\n",
      "              Q1  P1    Q2  P2    Q3  P3    Q4  P4\n",
      "2013-12-31   802  17   373  14   438  10  1097  18\n",
      "2014-12-31   505  19   541  19  1620  13  1221  12\n",
      "2015-12-31  1036  10  1167  15  1728  16   669  19\n",
      "2016-12-31  1871  17  1321  14   524  18   974  19\n",
      "2017-12-31  1446  14  1426  11   183  17  1778  14\n",
      "\n",
      "Risultati:\n",
      "              PIL  PIL b/2014 Crescita PIL Crescita PIL b/2014  Deflatore\n",
      "2013-12-31  42982       41183           []                  []       1.04\n",
      "2014-12-31  55586       55586         0.29                0.35       1.00\n",
      "2015-12-31  68224       72349         0.23                 0.3       0.94\n",
      "2016-12-31  78239       79148         0.15               0.094       0.99\n",
      "2017-12-31  63933       78283        -0.18              -0.011       0.82\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('precision',2) #number of decimals\n",
    "import numpy as np\n",
    "\"\"\"\n",
    "Create basic table for PIL exercises\n",
    "\"\"\"\n",
    "#parametri:\n",
    "T=5 #number of years\n",
    "t_0='2013' #initial period\n",
    "N=4 #number of goods\n",
    "\n",
    "#index (rows)\n",
    "years=pd.date_range(t_0, periods=T,freq='Y')\n",
    "#quantità\n",
    "q=np.random.randint(100,2001, size=(T, N))\n",
    "#prezzi\n",
    "p=np.random.randint(10,20, size=(T, N))\n",
    "#matrice prezzi e quantità\n",
    "D=np.zeros((T,2*N))\n",
    "for n in range(N):\n",
    "    D[:,2*n]=q[:,n]\n",
    "for n in range(N):\n",
    "    D[:,2*n+1]=p[:,n]\n",
    "D=D.astype(int)\n",
    "#print(D)\n",
    "\n",
    "#colonne: quantità e prezzi\n",
    "PQ=[None]*2*N\n",
    "for n in range(N):\n",
    "    PQ[2*n]='Q%s'%(n+1)\n",
    "for n in range(N):\n",
    "    PQ[2*n+1]='P%s'%(n+1)\n",
    "\n",
    "data=pd.DataFrame(D, index=years, columns=PQ)\n",
    "\n",
    "#print dati problema\n",
    "print('Prezzi e quantità:')\n",
    "print(data)\n",
    "\n",
    "#write to latex table\n",
    "#then \"input\" as child from Lyx - with \\usepackage{booktabs} in preamble\n",
    "with open('BasicPIL-data-B.tex','w') as f1:\n",
    "    f1.write(data.to_latex())\n",
    "\n",
    "#start computing \n",
    "\n",
    "#PIL nominale\n",
    "PIL=[0]*T\n",
    "for i in range(T):\n",
    "    PIL[i]=np.dot(D[i,0::2],D[i,1::2]) \n",
    "data['PIL'] = PIL\n",
    "\n",
    "#PIL base t_0+s\n",
    "s=1\n",
    "PILs=[0]*T\n",
    "for i in range(T):\n",
    "    PILs[i]=np.dot(D[i,0::2],D[s,1::2]) \n",
    "data['PIL b/%s' %(np.asarray(t_0, dtype=np.int)+s)] = PILs\n",
    "\n",
    "#crescita PIL\n",
    "PILg=[0]*T\n",
    "for t in range(1,T):\n",
    "    PILg[t]=PIL[t]/PIL[t-1]-1\n",
    "PILg[0]=['']\n",
    "data['Crescita PIL'] = PILg\n",
    "#the following breaks the precision setting\n",
    "#data['crescita PIL'] = data['crescita PIL'].astype(str).str.replace('^0.0$', '')\n",
    "\n",
    "#crescita PILs \n",
    "PILsg=[0]*T\n",
    "for t in range(1,T):\n",
    "    PILsg[t]=PILs[t]/PILs[t-1]-1\n",
    "PILsg[0]=['']\n",
    "data['Crescita PIL b/%s' %(np.asarray(t_0, dtype=np.int)+s)] = PILsg\n",
    "\n",
    "#deflatore\n",
    "defl=[0]*T\n",
    "for t in range(T):\n",
    "    defl[t]=PIL[t]/PILs[t]\n",
    "data['Deflatore'] = defl\n",
    "\n",
    "results=data.loc[:, 'PIL':'Deflatore']\n",
    "\n",
    "\n",
    "# print \n",
    "print('')\n",
    "print('Risultati:')\n",
    "print(results)\n",
    "\n",
    "#write to latex table\n",
    "with open('BasicPIL-results-B.tex','w') as f2:\n",
    "    f2.write(results.to_latex())"
   ]
  }
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