{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets.synthetic_data import SIR, SIDR\n",
    "\n",
    "from src.plotter import Plotter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plotter = Plotter(additional_colors=['yellow'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 50480 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = SIDR(plotter)\n",
    "data.generate()\n",
    "data.plot('SIRD_synth')\n",
    "data.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 44748 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "normal_params = SIR(plotter, alpha=0.2, beta=0.35, simulation_time=500, time_points=500)\n",
    "normal_params.generate()\n",
    "normal_params.plot(title='base_params_synth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 42340 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "high_alpha = SIR(plotter, alpha=0.3, beta=0.35, simulation_time=500, time_points=500)\n",
    "high_alpha.generate()\n",
    "high_alpha.plot(title='high_alpha_synth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 45300 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "low_alpha = SIR(plotter, alpha=0.1, beta=0.35, simulation_time=500, time_points=500)\n",
    "low_alpha.generate()\n",
    "low_alpha.plot(title='low_alpha_synth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 43440 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "high_beta = SIR(plotter, alpha=0.2, beta=0.45, simulation_time=500, time_points=500)\n",
    "high_beta.generate()\n",
    "high_beta.plot(title='high_beta_synth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 44388 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "high_beta = SIR(plotter, alpha=0.2, beta=0.25, simulation_time=500, time_points=500)\n",
    "high_beta.generate()\n",
    "high_beta.plot(title='low_beta_synth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 52932 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model\n",
    "example = SIR(plotter, N=7900000, I_0=10, alpha=1/3, beta=1/2, simulation_time=150, time_points=500)\n",
    "example.generate()\n",
    "example.plot('reference_params_synth')\n",
    "example.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "[encoded data, 42084 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "[encoded data, 39056 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "[encoded data, 40536 characters]",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datasets.transform_data import state_based_data\n",
    "\n",
    "state_based_data(plotter, 'Sachsen')\n",
    "state_based_data(plotter, 'Berlin')\n",
    "state_based_data(plotter, 'Schleswig Holstein')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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