{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fill Excel Spreadsheet\n",
    "Uses values in the WaterBalanceData.csv file to populate values in the USWaterBalanceSheet.xlsx file\n",
    "\n",
    "Requires the openyxl module: https://openpyxl.readthedocs.io/en/default/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Import modules (including xlwt: http://xlwt.readthedocs.io/en/latest/)\n",
    "import sys, os\n",
    "import pandas as pd\n",
    "from openpyxl import load_workbook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Get the file names\n",
    "dataDir = '../../Data'\n",
    "inDataFN = dataDir + os.sep + 'WaterBalanceData.csv'\n",
    "inXlsxFN = dataDir + os.sep + 'USWaterBalanceSheet.xlsx'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Load the data into a pandas dataframe\n",
    "dfData = pd.read_csv(inDataFN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Row and column indices\n",
    "Aq = 2\n",
    "Do = 3\n",
    "In = 4\n",
    "Ic = 5\n",
    "Ig = 6\n",
    "Li = 7\n",
    "Mi = 8\n",
    "PS = 9\n",
    "TC = 10\n",
    "TR = 11\n",
    "Supply = 12\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')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}