chart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "from pathlib import Path\r\n",
    "import pandas as pd\r\n",
    "import matplotlib.pyplot as plt\r\n",
    "import matplotlib as mpl\r\n",
    "from cycler import cycler\r\n",
    "import numpy as np"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "l=7\r\n",
    "x=np.linspace(-l,l,1000)\r\n",
    "y=1/(1+np.exp(-x))\r\n",
    "mpl.rc('lines',linewidth=1.5,markersize=4)  \r\n",
    "mpl.rc('grid',linewidth=0.5,linestyle='--')\r\n",
    "mpl.rc('font',size=7,family='Times New Roman')\r\n",
    "cm = 1/2.54\r\n",
    "mpl.rc('figure',figsize=(9*cm,6*cm))\r\n",
    "plt.plot(x,y,'k')\r\n",
    "# plt.grid()\r\n",
    "plt.xticks([-l,0,l],[r\"$-\\infty$\",r\"$x_0$\",r\"$\\infty$\"])\r\n",
    "plt.yticks([0,0.5,1],[r\"$b$\",r\"$b+\\dfrac{L}{2}$\",r\"$b+L$\"])\r\n",
    "# plt.savefig(\"./logistic.pdf\", bbox_inches='tight')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "([<matplotlib.axis.YTick at 0x20d91d916d0>,\n",
       "  <matplotlib.axis.YTick at 0x20d91d912b0>,\n",
       "  <matplotlib.axis.YTick at 0x20d91d81070>],\n",
       " [Text(0, 0.0, '$b$'),\n",
       "  Text(0, 0.5, '$b+\\\\dfrac{L}{2}$'),\n",
       "  Text(0, 1.0, '$b+L$')])"
      ]
     },
     "metadata": {},
     "execution_count": 2
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 1 Axes>"
      ],
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "directoryPath = Path.cwd().joinpath('Outputs')\r\n",
    "base_result=pd.read_csv(directoryPath.joinpath('base.csv'),squeeze=True,index_col=0,dtype='float64')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "# units=pd.read_csv(directoryPath.joinpath('units.csv'),squeeze=True)\r\n",
    "units=pd.read_csv(directoryPath.joinpath('units.csv'),squeeze=True,index_col=0)\r\n",
    "# units"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Declare Chart Properties"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "mpl.rc('lines',linewidth=1.5,markersize=4)  \r\n",
    "mpl.rc('grid',linewidth=0.5,linestyle='--')\r\n",
    "mpl.rc('font',size=7,family='Times New Roman')\r\n",
    "cm = 1/2.54\r\n",
    "mpl.rc('figure',figsize=(9*cm,6*cm))\r\n",
    "markerinterval=12*2**4\r\n",
    "custom_cycler=(cycler(marker=[None,'*','d','o','x'])+cycler(color=[str(i) for i in np.linspace(0.2,0.6,5)]))\r\n",
    "mpl.rc('axes',prop_cycle=custom_cycler)\r\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Craete Individual Charts"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "for v in base_result.columns:\r\n",
    "    plt.plot(base_result[v])\r\n",
    "    plt.grid(True)\r\n",
    "    if v == 'Budget Deficit':\r\n",
    "        plt.title('Revenue Deficit')\r\n",
    "    else:\r\n",
    "        plt.title(v)\r\n",
    "    plt.xlabel('Time (Month)')\r\n",
    "    plt.xticks(range(0,250,24))\r\n",
    "    plt.ylabel(units[v])\r\n",
    "    plt.savefig(directoryPath.joinpath(f'{v}.pdf'),bbox_inches='tight')\r\n",
    "    plt.clf()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 0 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Create Budget Deficit Fraction Chart"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "deficit_fraction=100*base_result['Budget Deficit']/base_result['Total Costs']\r\n",
    "plt.plot(deficit_fraction)\r\n",
    "plt.grid(True)\r\n",
    "plt.title('Revenue Deficit Fraction')\r\n",
    "plt.xlabel('Time (Month)')\r\n",
    "plt.xticks(range(0,250,24))\r\n",
    "plt.ylabel('%')\r\n",
    "plt.savefig(directoryPath.joinpath(f'Deficit Fraction.pdf'),bbox_inches='tight')\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 1 Axes>"
      ],
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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Create Customers Chart"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "customers =['Regular Consumers', 'Prosumers', 'Defectors', 'Total Consumers']\r\n",
    "for c in customers:\r\n",
    "    plt.plot(base_result[c],label=c,markevery=markerinterval)\r\n",
    "plt.xticks(range(0,250,24))\r\n",
    "plt.grid(True)\r\n",
    "plt.legend(loc='center')\r\n",
    "plt.title('No of Consumers Adopting Each Concept')\r\n",
    "plt.xlabel('Time (Month)')\r\n",
    "plt.ylabel('Consumer')\r\n",
    "plt.savefig(directoryPath.joinpath('CustomersNo.pdf'),facecolor='w',bbox_inches='tight')\r\n",
    "# plt.clf()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "source": [
    "customers =['Regular Consumers', 'Prosumers', 'Defectors']\r\n",
    "for c in customers:\r\n",
    "    plt.plot(100*base_result[c]/base_result['Total Consumers'],label=c,markevery=markerinterval)\r\n",
    "plt.xticks(range(0,245,24))\r\n",
    "plt.grid(True)\r\n",
    "plt.legend()\r\n",
    "plt.title('Fraction of Consumers Adopting Each Concept')\r\n",
    "plt.xlabel('Time (Month)')\r\n",
    "plt.ylabel('%')\r\n",
    "plt.annotate('Max PV fraction reached',\r\n",
    "            xy=(36, 30), xycoords='data',\r\n",
    "            xytext=(100,45),\r\n",
    "            arrowprops=dict(arrowstyle=\"->\"),\r\n",
    "            ha='left')\r\n",
    "plt.annotate('',\r\n",
    "            xy=(36, 68), xycoords='data',\r\n",
    "            xytext=(113,53),\r\n",
    "            arrowprops=dict(arrowstyle=\"->\"),\r\n",
    "            ha='left')\r\n",
    "# plt.savefig(directoryPath.joinpath('Customers.pdf'),facecolor='w',bbox_inches='tight')\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "source": [
    "c='Utility Energy Sale'\r\n",
    "plt.plot(base_result[c])\r\n",
    "plt.xticks(range(0,245,24))\r\n",
    "plt.grid(True)\r\n",
    "plt.title(c)\r\n",
    "plt.xlabel('Time (Month)')\r\n",
    "plt.ylabel('kWh/Month')\r\n",
    "plt.annotate('Max PV fraction reached',\r\n",
    "            xy=(0.2,0.1), xycoords='axes fraction',\r\n",
    "            xytext=(0.4,0.55), textcoords='axes fraction',\r\n",
    "            arrowprops=dict(arrowstyle=\"->\"),\r\n",
    "            ha='center')\r\n",
    "plt.savefig(directoryPath.joinpath(f'{c}.pdf'),facecolor='w',bbox_inches='tight')\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Compare Income and cost"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "source": [
    "monthly_income = base_result['Electricity Tariff']*base_result['Utility Energy Sale']\r\n",
    "\r\n",
    "plt.plot(monthly_income,label='Monthly Income',markevery=markerinterval)\r\n",
    "plt.plot(1.15*base_result['Total Costs'],label='Total Costs',markevery=markerinterval)\r\n",
    "\r\n",
    "plt.xticks(range(0,250,24))\r\n",
    "plt.grid(True)\r\n",
    "plt.legend()\r\n",
    "plt.title('Fraction of Consumers Adopting Each Concept')\r\n",
    "plt.xlabel('Time (Month)')\r\n",
    "plt.ylabel('%')\r\n"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Text(0, 0.5, '%')"
      ]
     },
     "metadata": {},
     "execution_count": 32
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 255.118x170.079 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "a2183a5ab792103744c4c9d4d8680b943b55eeeca7c7df36b2098464dbf464f0"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.9.1 64-bit"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}