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   "source": [
    "### Create State Physical Supply Usage Table (PSUT)\n",
    "Uses values in the WaterBalanceData.csv file to populate values in the StatePSUT.xlsx file\n",
    "\n",
    "Requires the openyxl module: https://openpyxl.readthedocs.io/en/default/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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    {
     "ename": "ImportError",
     "evalue": "No module named openpyxl",
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      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
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      "\u001b[1;31mImportError\u001b[0m: No module named openpyxl"
     ]
    }
   ],
   "source": [
    "#Import modules\n",
    "import sys, os\n",
    "import pandas as pd\n",
    "from openpyxl import load_workbook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get/Set the filenames required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Set the location of the data directory\n",
    "dataDir = '../../Data'\n",
    "#Get the water balance input csv file\n",
    "inDataFN = dataDir + os.sep + 'StateData' + os.sep + 'la_2010.csv'\n",
    "#Get the template\n",
    "inXlsxFN = dataDir + os.sep + 'Templates' + os.sep + 'StatePSUTTemplate.xlsx' #The template that will be filled in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Load the water balance data into a pandas dataframe\n",
    "dfData = pd.read_csv(inDataFN)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we set the field to column mappings. The number on the right of the '=' refers to the column in the template in which the field on the left occurs. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Row and column indices\n",
    "#--Columns--\n",
    "Aq = 5    #Aquaculture\n",
    "Do = 19   #Domestic\n",
    "In = 16   #Industrial\n",
    "Ic = 2    #Irrigation-cropland\n",
    "Ig = 17   #Irrigation-golf courses\n",
    "Li = 3    #Livestock\n",
    "Mi = 7    #Mining\n",
    "PS = 14   #Public supply\n",
    "TC = 10   #Thermoelectric-once thru\n",
    "TR = 9    #Thermoelectric-recirculated\n",
    "Supply = 20 #Environment\n",
    "#--Rows--\n",
    "Sf = 21 #Surface\n",
    "Gw = 22 #Groundwater"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Create the dictionary of GroupNames and cell locations\n",
    "celLocs = {'Aquaculture_Surface':(Sf,Aq),\n",
    "           'Aquaculture_Groundwater':(Gw,Aq),\n",
    "           'Domestic_Surface':(Sf,Do),\n",
    "           'Domestic_Groundwater':(Gw,Do),\n",
    "           'Industrial_Surface':(Sf,In),\n",
    "           'Industrial_Groundwater':(Gw,In),\n",
    "           'Irrigation_Crop_Surface':(Sf,Ic),\n",
    "           'Irrigation_Crop_Groundwater':(Gw,Ic),\n",
    "           'Irrigation_Golf_Surface':(Sf,Ig),\n",
    "           'Irrigation_Golf_Groundwater':(Gw,Ig),\n",
    "           'Livestock_Surface':(Sf,Li),\n",
    "           'Livestock_Groundwater':(Gw,Li),\n",
    "           'Mining_Surface':(Sf,Mi),\n",
    "           'Mining_Groundwater':(Gw,Mi),\n",
    "           'PublicSupply_Surface':(Sf,PS),\n",
    "           'PublicSupply_Groundwater':(Gw,PS),\n",
    "           'ThermoElec_OnceThru_Surface':(Sf,TC),\n",
    "           'ThermoElec_OnceThru_Groundwater':(Gw,TC),\n",
    "           'ThermoElec_Recirc_Surface':(Sf,TR),\n",
    "           'ThermoElec_Recirc_Groundwater':(Gw,TR),\n",
    "           'Supply':(4,12)\n",
    "          } "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Create the workbook object\n",
    "wb = load_workbook(filename = inXlsxFN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for year in (2000,2005, 2010):\n",
    "    #Get the year worksheet in the workbook\n",
    "    ws = wb.get_sheet_by_name(str(year))\n",
    "    \n",
    "    #Label the sheet\n",
    "    ws.cell(column=1,row=1,value=\"US Water Balance: {}. Values in MGal/Year\".format(year))\n",
    "    \n",
    "    #use the dictionary to insert values\n",
    "    for name, cellLoc in celLocs.items():\n",
    "        #Get the value for selected year\n",
    "        val = dfData[(dfData.Group == name) & (dfData.YEAR == year)]['MGal'].iloc[0]\n",
    "        #insert it into the Excel file\n",
    "        ws.cell(column = cellLoc[1],row = cellLoc[0],value = val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "wb.save(dataDir+os.sep+'BalanceSheet.xlsx')"
   ]
  }
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