model.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Definitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "gather": {
     "logged": 1695817137984
    }
   },
   "outputs": [],
   "source": [
    "# writing into excel library - uncomment the following line if needed\n",
    "# %pip install openpyxl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "gather": {
     "logged": 1695817141807
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from main import simulate_apartment_stock, generate_interventions, simulate_social_housing, calculate_costs\n",
    "from analysis import * \n",
    "import copy\n",
    "\n",
    "idx = pd.IndexSlice\n",
    "\n",
    "years = np.arange(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model systému podpory v bydlení\n",
    "## Cíle\n",
    "\n",
    "* Zhodnotit přínosy a náklady zavedení systému podpory v bydlení\n",
    "* Srovnat úspěšnost při řešení bytové nouze\n",
    "* Představit základní logiku zákona\n",
    "\n",
    "- [Ospravedlnění parametrů zde](https://mmrcz.sharepoint.com/:x:/r/sites/MMR-Zkonopodpoevbydlen/_layouts/15/guestaccess.aspx?share=EUy9k9Fw9JRLulyihYTMte8BSMkRlmAFsrVMBXySWvKGGg)\n",
    "\n",
    "## Shrnutí modelu\n",
    "- System dynamics model - domácnosti dostávají intervence směřující k řešení bytové nouze\n",
    "- 2 typy domácností:\n",
    "    - `High-risk` \n",
    "    - `Low risk`\n",
    "- Každý rok se do bytové nouze dostanou další domácnosti. Zároveň ale do systému přijdou nové byty pro umístění \n",
    "- 2 typy intervencí:\n",
    "- TODO lépe popsat buraucrat-centric interventions\n",
    "    - *Měkké intervence* - dostane jí fixní podíl lidí čekajících ve frontě \n",
    "        - `self_help` - svépomoc bez asistence systému\n",
    "        - `consulting` - Poradenství v síti KMB\n",
    "        - `mop_payment` - dávka mimořádné okamžité pomoci - předpokládáme souběžné poradenství\n",
    "    - *Bytové intervence* - pokud jsou k dispozici byty dané kategorie i zájemci o ně, budou přiděleny\n",
    "        - `guaranteed` - Garanatované bydlení - soukromé byty se státními garancemi\n",
    "        - `municipal` - obecní byty se sociálním zaměřením\n",
    "- Domácnosti mění status:\n",
    "    - `queue` - *Fronta* - Domácnosti v bytové nouzi čekající na pomoci\n",
    "    - *Probíhající intervence* - označeno podle intervence výše\n",
    "    - *Ukončená intervence* - outside, také rozlišeno dle intervence\n",
    "- Vypořádání - tedy samotný modelling\n",
    "    - Intervenci dostanou pouze lidé \"ve frontě\" \n",
    "    - Po konci intervence (která v případě bytů trvá několik let) se určitá část vrací zpátky do fronty tzv. *relapses*\n",
    "    - Pokud relapsne `low risk` domácnost, přesune se do `high risk`\n",
    "- Simulace probíhá 15 let\n",
    "- Po vypořádání proběhne **vyúčtování**\n",
    "    - Při vyúčtování se přilepí cenovky na jednotlivé intervence.\n",
    "    - Druhy nákladů:\n",
    "        - *Intervence - vstupní*\n",
    "        - *Intervence - provozní*\n",
    "        - *Systém - jednorázový*\n",
    "        - *Systém - provozní*\n",
    "        - *Náklady bytové nouze* - aplikuje se pro domácnosti ve frontě"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Poptávka - rozsah bytové nouze\n",
    "* Také poptávka je modelována 2 druhy domácností\n",
    "* Model prefenčně umísťuje `low-risk` domácnosti do `guaranteed` bytů a `high-risk` domácnosti do `municipal` bytů \n",
    "* Oba druhy domácností mají v čase lineární trend\n",
    "\n",
    "### Dnešní stav bytové nouze\n",
    "* Celkově je 67 500 domácností v bytové nouzi - z toho 70 % domácností jsou  `high risk` domácnosti a  30 % `low risk` domácnosti\n",
    "\n",
    "### Budoucí vývoj bytové nouze\n",
    "* Předpokládáme každoroční přísun dalších 9 000 domácností - z toho 65 % domácností jsou  *méně rizikové* domácnosti a  35 % *rizikové* domácnosti"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "gather": {
     "logged": 1695817158011
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>current_level</th>\n",
       "      <th>yearly_growth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>high</th>\n",
       "      <td>46900.0</td>\n",
       "      <td>3185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>20100.0</td>\n",
       "      <td>5915.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      current_level  yearly_growth\n",
       "high        46900.0         3185.0\n",
       "low         20100.0         5915.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current_level = 67000\n",
    "high_current = .7\n",
    "high_yearly = .35\n",
    "household_size = 2.28\n",
    "yearly_growth = 9100 \n",
    "\n",
    "hhs_inflow = pd.Series({\n",
    "    ('low','current_level'): (1 - high_current) * current_level,\n",
    "    ('low','yearly_growth'): (1 - high_yearly) * yearly_growth,\n",
    "    ('high','current_level'): high_current * current_level,\n",
    "    ('high','yearly_growth'): high_yearly * yearly_growth,\n",
    "}).unstack()\n",
    "hhs_inflow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "source": [
    "## Nabídka bytů\n",
    "\n",
    "* Počet bytů v systému, které budou k dispozici pro domácnosti v bytové nouzi. \n",
    "* Nastavení modelu vede k (téměř) lineárnímu vkladu bytů do systému. Defaultní nastavení vede k tempu 2000 soukromých a pomalu rostoucích cca 700 -750 městských bytů v systému ročně.\n",
    "* TODO zmínit, že frikce na bytech vstupuje spíše skrze nabízené byty a není třeba snižovat počet využívaných bytů\n",
    "\n",
    "### Garantované byty\n",
    "* Nabídka garantovaných bytů závisí primárně na konkurenceschopnosti podmínek pro pronajímatale a úspěšnosti komunikace\n",
    "* Jejich počet proto je modelován jediným parametrem: `guaranteed_yearly_apartments`.\n",
    "\n",
    "### Obecní byty\n",
    "* Již dnes existuje cca 160 000 bytů - `municipal_apartments_today`\n",
    "* Z již existujících bytů se každoročně 0,4% (varianta 1) či 0,2 % (varianta 0) uvolní do systému sociálního bydlení - `municipal_existing_availability_rate`\n",
    "* I v budoucnu budou stavět nové městské byty - předpokládáme 300 bytů ročně - `municipal_yearly_new_apartments`\n",
    "* Z nových bytů předpokládáme, že by do systému vstoupila výrazně větší část - 25 % ve variantě 1 a 10 % ve variantě 1 - `municipal_new_availability_rate`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "gather": {
     "logged": 1695817159777
    },
    "jupyter": {
     "outputs_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>consulting</th>\n",
       "      <th>guaranteed</th>\n",
       "      <th>mop_payment</th>\n",
       "      <th>municipal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   consulting  guaranteed  mop_payment  municipal\n",
       "0        0.50        0.50         0.50       0.50\n",
       "1        0.75        0.75         0.75       0.75\n",
       "2        1.00        1.00         1.00       1.00"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "startup_coefficients_v1 = pd.Series({\n",
    "    (0,'consulting'):0.5,\n",
    "    (1,'consulting'):0.75,\n",
    "    (2,'consulting'):1.0,\n",
    "    (0,'mop_payment'):0.5,\n",
    "    (1,'mop_payment'):0.75,\n",
    "    (2,'mop_payment'):1.0,\n",
    "    (0,'guaranteed'):1/2,\n",
    "    (1,'guaranteed'):3/4,\n",
    "    (2,'guaranteed'):1.0,\n",
    "    (0,'municipal'):1/2,\n",
    "    (1,'municipal'):3/4,\n",
    "    (2,'municipal'):1.0,    \n",
    "}).unstack()\n",
    "startup_coefficients_v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "gather": {
     "logged": 1695817160822
    }
   },
   "outputs": [],
   "source": [
    "startup_coefficients_v0 = startup_coefficients_v1.copy()\n",
    "startup_coefficients_v0.loc[:,:] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "gather": {
     "logged": 1695817161699
    },
    "jupyter": {
     "outputs_hidden": false,
     "source_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>guaranteed</th>\n",
       "      <th>municipal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000</td>\n",
       "      <td>568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2500</td>\n",
       "      <td>1420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4500</td>\n",
       "      <td>2564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6500</td>\n",
       "      <td>3717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8500</td>\n",
       "      <td>4877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10500</td>\n",
       "      <td>6046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12500</td>\n",
       "      <td>7222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14500</td>\n",
       "      <td>8406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>16500</td>\n",
       "      <td>9599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>18500</td>\n",
       "      <td>10799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20500</td>\n",
       "      <td>12008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>22500</td>\n",
       "      <td>13224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>24500</td>\n",
       "      <td>14448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>26500</td>\n",
       "      <td>15681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>28500</td>\n",
       "      <td>16921</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    guaranteed  municipal\n",
       "0         1000        568\n",
       "1         2500       1420\n",
       "2         4500       2564\n",
       "3         6500       3717\n",
       "4         8500       4877\n",
       "5        10500       6046\n",
       "6        12500       7222\n",
       "7        14500       8406\n",
       "8        16500       9599\n",
       "9        18500      10799\n",
       "10       20500      12008\n",
       "11       22500      13224\n",
       "12       24500      14448\n",
       "13       26500      15681\n",
       "14       28500      16921"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "municipal_apartments_today = 161100\n",
    "municipal_yearly_new_apartments = 2000\n",
    "simulate_apartment_stock(\n",
    "        guaranteed_yearly_apartments=2000,\n",
    "        municipal_apartments_today=municipal_apartments_today,\n",
    "        municipal_yearly_new_apartments=municipal_yearly_new_apartments,\n",
    "        municipal_existing_availability_rate=0.004,\n",
    "        municipal_new_availability_rate=0.25,\n",
    "        startup_coefficients=startup_coefficients_v1[['guaranteed','municipal']],\n",
    "        years=years\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Intervence a průchod domácnosti systémem\n",
    "\n",
    "V každém roce proběhnou operace v následujícm sledu: \n",
    "\n",
    "\n",
    "1. Určení velikosti fronty (započítání relapses z minulého roku)\n",
    "2. Měkké intervence (vždy podíl zbývajících domácností daného typu na frontě)\n",
    "    1. `self_help` - některé domácnosti si zvládnou pomoci samy a dostanou se ven z BN\n",
    "    2. `consulting` - další část domácností přijde pro poradenství na KMB a díky tomu se zvládnou dostat ven z BN\n",
    "    3. `mop_payment` - další část domácností po konzultaci na KMB dostane vyplacenou dávku MOP\n",
    "3. Bytové intervence (vždy porovnání počtu domácností daného typu ve frontě s počtem dostupných bytů)\n",
    "    1. `Low risk` domácnosti do `guaranteed` bytů\n",
    "    2. `High risk` domácnosti do `municipal` bytů\n",
    "    3. `High risk` domácnosti do `guaranteed` bytů\n",
    "    4. `Low risk` domácnosti do `municipal` bytů \n",
    "\n",
    " Je třeba si uvědomit, že uvedené podíly se aplikují postupně a tedy postupně ubývá základ vůči kterému se podíly aplikují\n",
    "\n",
    " ### Intervenční podíly pro měkké intervence\n",
    " #### Varianta 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "gather": {
     "logged": 1695817163880
    }
   },
   "outputs": [],
   "source": [
    "intervention_shares_v0 = pd.Series({\n",
    "    ('low','self_help'):.4, #\n",
    "    ('low','consulting'):.0,\n",
    "    ('low','mop_payment'):.02,\n",
    "    ('high','self_help'):.15,\n",
    "    ('high','consulting'):.0,\n",
    "    ('high','mop_payment'):.02\n",
    "}).unstack()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "source": [
    "#### Varianta 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "gather": {
     "logged": 1695817165524
    }
   },
   "outputs": [],
   "source": [
    "intervention_shares_v1 = pd.Series({\n",
    "    ('low','self_help'):.2,\n",
    "    ('low','consulting'):.1,\n",
    "    ('low','mop_payment'):.2,\n",
    "    ('high','self_help'):.1,\n",
    "    ('high','consulting'):.05,\n",
    "    ('high','mop_payment'):.1\n",
    "}).unstack()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Délka intervence"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Každá intervence má jinou dobu trvání\n",
    "* Zatímco měkké intervence jsou jednorázové a z pohledu modelu trvají jeden rok, bydlení trvá déle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "gather": {
     "logged": 1695817171216
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "municipal      3\n",
       "guaranteed     2\n",
       "self_help      1\n",
       "mop_payment    1\n",
       "consulting     1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "years_of_support = pd.Series({\n",
    "    'municipal':3, \n",
    "    'guaranteed':2,\n",
    "    'self_help':1,\n",
    "    'mop_payment':1,\n",
    "    'consulting':1\n",
    "})\n",
    "years_of_support"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Relaps - neúspěšné intervence\n",
    "\n",
    "* část domácností, se i přes to, že dostanou intervenci, se po čase zase vrátí do problémů\n",
    "* Tomu model říká \"relaps\" - po konci intervenci domácnost neopouští systém, ale vrací se zpátky do fronty\n",
    "* Tabulka níže ukazuje, jaká část domácností, které dostaly danou intervenci se po konci intervence vrací zpět do systému"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "gather": {
     "logged": 1695817173004
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>consulting</th>\n",
       "      <th>guaranteed</th>\n",
       "      <th>mop_payment</th>\n",
       "      <th>municipal</th>\n",
       "      <th>self_help</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>high</th>\n",
       "      <td>0.5</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      consulting  guaranteed  mop_payment  municipal  self_help\n",
       "high         0.5        0.30          0.3       0.30        0.6\n",
       "low          0.2        0.05          0.1       0.05        0.2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relapse_rates_v1 = pd.Series({\n",
    "    ('low','self_help'):.2,\n",
    "    ('low','consulting'):.2,\n",
    "    ('low','mop_payment'):.1,\n",
    "    ('low','guaranteed'):.05,\n",
    "    ('low','municipal'):.05,\n",
    "    ('high','self_help'):.6,\n",
    "    ('high','consulting'):.5,\n",
    "    ('high','mop_payment'):.3,\n",
    "    ('high','guaranteed'):.3,\n",
    "    ('high','municipal'):.3\n",
    "}).unstack()\n",
    "\n",
    "relapse_rates_v1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vyšší relapse rates reflektují nedostupnost sociální péče (TODO není empirická literature?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "gather": {
     "logged": 1695817174622
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>consulting</th>\n",
       "      <th>guaranteed</th>\n",
       "      <th>mop_payment</th>\n",
       "      <th>municipal</th>\n",
       "      <th>self_help</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>high</th>\n",
       "      <td>0.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      consulting  guaranteed  mop_payment  municipal  self_help\n",
       "high         0.5         0.4         0.45        0.4        0.6\n",
       "low          0.2         0.1         0.15        0.1        0.2"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relapse_rates_v0 =  relapse_rates_v1.copy()\n",
    "relapse_rates_v0.mop_payment = relapse_rates_v0.mop_payment * 1.5\n",
    "relapse_rates_v0.loc['high',['guaranteed','municipal']] = 0.4\n",
    "relapse_rates_v0.loc['low',['guaranteed','municipal']] = 0.1\n",
    "relapse_rates_v0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "gather": {
     "logged": 1695817175107
    }
   },
   "outputs": [],
   "source": [
    "relapse_rates_v3 =  relapse_rates_v0.copy()\n",
    "relapse_rates_v3.loc['high','guaranteed'] = 0.45\n",
    "relapse_rates_v3.loc['low','guaranteed'] = 0.2\n",
    "relapse_rates_v3.loc['high','municipal'] = 0.5\n",
    "relapse_rates_v3.loc['low','municipal'] = 0.15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Použití sociální asistence\n",
    "* Sociální služby nejsou přímo modelovány, ale jsou přidělovány v určitém podílu a s měnící se délkou trvání\n",
    "* Podíl intervenovaných, kteří zároveň s intervencí dostanou sociální asistenci a délku jejího trvání\n",
    "\n",
    "#### Varianta 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "gather": {
     "logged": 1695817176338
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>share</th>\n",
       "      <th>years</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>guaranteed</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mop_payment</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>municipal</th>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             share  years\n",
       "guaranteed     0.0    2.0\n",
       "mop_payment    0.0    1.0\n",
       "municipal      0.7    1.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "social_assistences_v0 = pd.Series({\n",
    "    ('mop_payment','share'): .0,\n",
    "    ('mop_payment','years'): 1,\n",
    "    ('guaranteed','share'): .0,\n",
    "    ('guaranteed','years'): 2,\n",
    "    ('municipal','share'): .7,\n",
    "    ('municipal','years'): 1,\n",
    "}).unstack()\n",
    "\n",
    "social_assistences_v0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "source": [
    "#### Varianta 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "gather": {
     "logged": 1695817177821
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>share</th>\n",
       "      <th>years</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>guaranteed</th>\n",
       "      <td>0.85</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mop_payment</th>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>municipal</th>\n",
       "      <td>0.85</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             share  years\n",
       "guaranteed    0.85    2.0\n",
       "mop_payment   0.25    1.0\n",
       "municipal     0.85    2.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "social_assistences_v1 = pd.Series({\n",
    "    ('mop_payment','share'): .25,\n",
    "    ('mop_payment','years'): 1,\n",
    "    ('guaranteed','share'): .85,\n",
    "    ('guaranteed','years'): 2,\n",
    "    ('municipal','share'): .85,\n",
    "    ('municipal','years'): 2,\n",
    "}).unstack()\n",
    "\n",
    "social_assistences_v1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Náklady intervencí\n",
    "\n",
    "* Rozlišujeme tři druhy nákladů:\n",
    "    * **Jednorázové** - Náklady, které je potřeba zadat pouze jednou - napříkald vývoj IT systému\n",
    "    * **Fixní** - náklady existence systému sociálního bydlení, zcela nezávislé na výkonu - např. provoz IT systému.\n",
    "    * **Vstupní** - náklady provedení intervence - například sehnání bytu do systému či vyplacení MOP\n",
    "    * **Průběžné/Roční** - náklady probíhající intervence - náklady bytu\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "gather": {
     "logged": 1695817183143
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>entry</th>\n",
       "      <th>one_off</th>\n",
       "      <th>yearly</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>IT_system</th>\n",
       "      <td>NaN</td>\n",
       "      <td>60000000.0</td>\n",
       "      <td>2.000000e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>consulting</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-76172787.0</td>\n",
       "      <td>4.830743e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>guaranteed</th>\n",
       "      <td>15333.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.899000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mop_payment</th>\n",
       "      <td>35126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>municipal</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.261600e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>queue_budget</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.103540e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>queue_social</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.467120e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>regional_administration</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.543821e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>self_help</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social_assistance</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.897600e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           entry     one_off        yearly\n",
       "IT_system                    NaN  60000000.0  2.000000e+07\n",
       "consulting                   NaN -76172787.0  4.830743e+08\n",
       "guaranteed               15333.0         NaN  4.899000e+04\n",
       "mop_payment              35126.0         NaN  0.000000e+00\n",
       "municipal                    0.0         NaN  5.261600e+04\n",
       "queue_budget                 NaN         NaN  6.103540e+04\n",
       "queue_social                 NaN         NaN  1.467120e+05\n",
       "regional_administration      NaN         NaN  6.543821e+07\n",
       "self_help                    0.0         NaN  0.000000e+00\n",
       "social_assistance            0.0         NaN  8.897600e+04"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discount_rate = 0.04 # Impact assessment guidelines European Commission https://ec.europa.eu/smart-regulation/impact/commission_guidelines/docs/131210_cba_study_sg_final.pdf\n",
    "intervention_costs_v1 = pd.Series({\n",
    "    ('entry','self_help'): 0,\n",
    "    ('entry','mop_payment'): 35126,\n",
    "    ('entry','guaranteed'): 15333, #16000 # Nezahrnuje poradenství - to je vyjádřeno fixní roční částkou\n",
    "    ('entry','municipal'): 0, # Nezahrnuje poradenství - to je vyjádřeno fixní roční částkou\n",
    "    ('entry', 'social_assistance'): 0,\n",
    "    ('yearly','self_help'): 0,\n",
    "    ('yearly','mop_payment'): 0,\n",
    "    ('yearly','guaranteed'): 48990,\n",
    "    ('yearly','municipal'): 52616,\n",
    "    ('yearly','social_assistance'): 88976,#83200,\n",
    "    # 19 % inflation rate between 2020 and 2022 by CZSO; CNB Winter prediction 10.8 % (2023) and 2.1 % (2024); \n",
    "    ('yearly','queue_budget'): 1.19 * 1.108 * household_size * 20303, #47915, # https://drive.google.com/drive/u/0/folders/1AB-eICOTy3LndCi75t68i2aCKKgxXlrd p.47\n",
    "    ('yearly','queue_social'): 146712,\n",
    "    ('one_off','IT_system'): 60000000,#20000000,\n",
    "    ('yearly','IT_system'): 20000000,#2000000,\n",
    "    ('yearly','regional_administration'): 65438210,#62325941, \n",
    "    ('yearly','consulting'): 483074298,\n",
    "    ('one_off','consulting'): 406901511 - 483074298# Consulting costs less in the first year. Adjustment done via one_off component. NEgative number is a discount on the total price. \n",
    "}).unstack()\n",
    "intervention_costs_v1.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "gather": {
     "logged": 1695817188227
    },
    "jupyter": {
     "outputs_hidden": false
    },
    "nteract": {
     "transient": {
      "deleting": false
     }
    }
   },
   "outputs": [],
   "source": [
    "intervention_costs_v0 = intervention_costs_v1.copy()\n",
    "intervention_costs_v0.loc ['yearly','IT_system'] = 0\n",
    "intervention_costs_v0.loc ['yearly','regional_administration'] = 0\n",
    "intervention_costs_v0.loc ['yearly','consulting'] = 0\n",
    "intervention_costs_v0.loc ['one_off','consulting'] = 0\n",
    "intervention_costs_v0.loc ['yearly','municipal'] = 0 \n",
    "intervention_costs_v0.loc ['one_off','IT_system'] = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### MOP jako součást zabydlení\n",
    "Podíl intervencí typu zabydlení, které jsou doprovázeny dávkou MOP v průměrné výši"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "gather": {
     "logged": 1695817190426
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>guaranteed</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>municipal</th>\n",
       "      <td>0.5</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            high   low\n",
       "guaranteed   1.0  0.25\n",
       "municipal    0.5  0.00"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mop_housing_share_v0 = pd.Series({\n",
    "    ('guaranteed','high'):.0,\n",
    "    ('guaranteed','low'):.0,\n",
    "    ('municipal','high'):.0,\n",
    "    ('municipal','low'):.0,\n",
    "}).unstack()\n",
    "\n",
    "mop_housing_share_v1 = pd.Series({\n",
    "    ('guaranteed','high'):1,\n",
    "    ('guaranteed','low'):.25,\n",
    "    ('municipal','high'):.5,\n",
    "    ('municipal','low'):.0,\n",
    "}).unstack()\n",
    "mop_housing_share_v1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Balíčky parametrů specifikujících varianty"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Varianta 0: Bez zákona"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "gather": {
     "logged": 1695817196003
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['interventions', 'hhs', 'returnees', 'costs', 'costs_units', 'costs_discounted', 'social_assistence_breakdown', 'title'])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "INPUT_0 = {\n",
    "    'title': '0: Bez zákona',\n",
    "    'years':years,\n",
    "    'years_of_support':years_of_support,\n",
    "    'intervention_costs':intervention_costs_v0,\n",
    "    'guaranteed_yearly_apartments':0, \n",
    "    'municipal_apartments_today': municipal_apartments_today,\n",
    "    'municipal_yearly_new_apartments': municipal_yearly_new_apartments,\n",
    "    'municipal_existing_availability_rate': .002,\n",
    "    'municipal_new_availability_rate': .1, \n",
    "    'relapse_rates':relapse_rates_v0,\n",
    "    'intervention_shares':intervention_shares_v0,\n",
    "    'hhs_inflow':hhs_inflow,\n",
    "    'social_assistences':social_assistences_v0,\n",
    "    'mop_housing_share':mop_housing_share_v0,\n",
    "    'discount_rate':discount_rate,\n",
    "    'low_to_high_risk_share':0.5,\n",
    "    'startup_coefficients':startup_coefficients_v0\n",
    "}\n",
    "OUTPUT_0 = simulate_social_housing(**INPUT_0)\n",
    "OUTPUT_0.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Varianta 1A: Mix opatření (konzervativní)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "gather": {
     "logged": 1695817204474
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['interventions', 'hhs', 'returnees', 'costs', 'costs_units', 'costs_discounted', 'social_assistence_breakdown', 'title'])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "INPUT_1A = copy.deepcopy(INPUT_0)\n",
    "INPUT_1A['title'] = '1A: Mix opatření'\n",
    "INPUT_1A['intervention_costs'] = intervention_costs_v1\n",
    "INPUT_1A['guaranteed_yearly_apartments'] = 2000\n",
    "INPUT_1A['municipal_existing_availability_rate'] = .004\n",
    "INPUT_1A['municipal_new_availability_rate'] = .25\n",
    "INPUT_1A['relapse_rates'] = relapse_rates_v1\n",
    "INPUT_1A['intervention_shares'] = intervention_shares_v1\n",
    "INPUT_1A['social_assistences'] = social_assistences_v1\n",
    "INPUT_1A['startup_coefficients'] = startup_coefficients_v1\n",
    "INPUT_1A['mop_housing_share'] = mop_housing_share_v1\n",
    "\n",
    "OUTPUT_1A = simulate_social_housing(**INPUT_1A)\n",
    "OUTPUT_1A.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Varianta 1B: Mix opatření (optimistická)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "gather": {
     "logged": 1695817226793
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['interventions', 'hhs', 'returnees', 'costs', 'costs_units', 'costs_discounted', 'social_assistence_breakdown', 'title'])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "INPUT_1B = copy.deepcopy(INPUT_1A)\n",
    "INPUT_1B['title'] = '1B: Mix opatření - 2x více bytů'\n",
    "INPUT_1B['guaranteed_yearly_apartments'] = 4000\n",
    "INPUT_1B['municipal_existing_availability_rate'] = .008\n",
    "\n",
    "OUTPUT_1B = simulate_social_housing(**INPUT_1B)\n",
    "OUTPUT_1B.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Varianta 2: Pouze měkká opatření"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "gather": {
     "logged": 1695817260893
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['interventions', 'hhs', 'returnees', 'costs', 'costs_units', 'costs_discounted', 'social_assistence_breakdown', 'title'])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "INPUT_2 = copy.deepcopy(INPUT_1A)\n",
    "INPUT_2['title'] = '2: Pouze poradenství a sociální služby'\n",
    "\n",
    "INPUT_2['guaranteed_yearly_apartments'] = INPUT_0['guaranteed_yearly_apartments']\n",
    "INPUT_2['municipal_existing_availability_rate'] = INPUT_0['municipal_existing_availability_rate']\n",
    "INPUT_2['municipal_new_availability_rate'] = INPUT_0['municipal_new_availability_rate']\n",
    "INPUT_2['intervention_costs'].loc['yearly','municipal'] = 0\n",
    "\n",
    "INPUT_2['social_assistences'].loc['municipal','share'] = 0.5\n",
    "INPUT_2['social_assistences'].loc['guaranteed','share'] = 0.5\n",
    "\n",
    "OUTPUT_2 = simulate_social_housing(**INPUT_2)\n",
    "OUTPUT_2.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Varianta 3: Pouze bydlení"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "gather": {
     "logged": 1695817265768
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['interventions', 'hhs', 'returnees', 'costs', 'costs_units', 'costs_discounted', 'social_assistence_breakdown', 'title'])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "INPUT_3 = copy.deepcopy(INPUT_1A)\n",
    "INPUT_3['title'] = '3: Pouze bydlení'\n",
    "\n",
    "#INPUT_3['guaranteed_yearly_apartments'] = INPUT_3['guaranteed_yearly_apartments'] * 0.5\n",
    "\n",
    "INPUT_3['relapse_rates'] = relapse_rates_v3\n",
    "INPUT_3['intervention_shares'] = intervention_shares_v0\n",
    "INPUT_3['intervention_costs'] = intervention_costs_v0\n",
    "INPUT_3['social_assistences'] = social_assistences_v0\n",
    "\n",
    "INPUT_3['intervention_costs'].loc['yearly','municipal'] = INPUT_1A['intervention_costs'].loc['yearly','municipal']\n",
    "INPUT_3['intervention_costs'].loc['yearly','guaranteed'] = INPUT_1A['intervention_costs'].loc['yearly','guaranteed']\n",
    "INPUT_3['intervention_costs'].loc['entry','municipal'] = INPUT_1A['intervention_costs'].loc['entry','municipal']\n",
    "INPUT_3['intervention_costs'].loc['entry','guaranteed'] = INPUT_1A['intervention_costs'].loc['entry','guaranteed']\n",
    "\n",
    "INPUT_2['social_assistences'].loc['municipal','share'] = 0.5\n",
    "INPUT_2['social_assistences'].loc['guaranteed','share'] = 0.25\n",
    "\n",
    "OUTPUT_3 = simulate_social_housing(**INPUT_3)\n",
    "OUTPUT_3.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "gather": {
     "logged": 1695817277478
    }
   },
   "outputs": [],
   "source": [
    "output_variants = [OUTPUT_0, OUTPUT_1A, OUTPUT_1B, OUTPUT_2, OUTPUT_3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pro podrobnější zkoumání lze exportovat data z jednotlivých simulací do XLSX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "gather": {
     "logged": 1695817281825
    }
   },
   "outputs": [],
   "source": [
    "save_tables_to_excel(\n",
    "    output_variants,\n",
    "    'hlavni_varianty.xlsx'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vyhodnocení variant\n",
    "### Počet domácností v BN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "gather": {
     "logged": 1695817286338
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_hhs_in_emergency(output_variants,title='');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Náklady variant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "gather": {
     "logged": 1695817302196
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_costs_summary(\n",
    "    output_variants,\n",
    "    title='',key='costs'\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Tabulka Vyhodnocení variant po 15 letech (NPV a počet domácností v BN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "gather": {
     "logged": 1695817305507
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Čistá současná hodnota nákladů na variantu (za 15 let)</th>\n",
       "      <th>Rozdíl ČSH vůči V0 (za 15 let)</th>\n",
       "      <th>Počet domácností v bytové nouzi po 15 letech</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0: Bez zákona</th>\n",
       "      <td>41,0 mld, Kč</td>\n",
       "      <td>0,0 mld, Kč</td>\n",
       "      <td>81214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1A: Mix opatření</th>\n",
       "      <td>43,1 mld, Kč</td>\n",
       "      <td>2,1 mld, Kč</td>\n",
       "      <td>41570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1B: Mix opatření - 2x více bytů</th>\n",
       "      <td>45,2 mld, Kč</td>\n",
       "      <td>4,2 mld, Kč</td>\n",
       "      <td>32439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2: Pouze poradenství a sociální služby</th>\n",
       "      <td>40,1 mld, Kč</td>\n",
       "      <td>-0,9 mld, Kč</td>\n",
       "      <td>50905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3: Pouze bydlení</th>\n",
       "      <td>40,3 mld, Kč</td>\n",
       "      <td>-0,7 mld, Kč</td>\n",
       "      <td>70592</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Čistá současná hodnota nákladů na variantu (za 15 let)  \\\n",
       "0: Bez zákona                                                                41,0 mld, Kč       \n",
       "1A: Mix opatření                                                             43,1 mld, Kč       \n",
       "1B: Mix opatření - 2x více bytů                                              45,2 mld, Kč       \n",
       "2: Pouze poradenství a sociální služby                                       40,1 mld, Kč       \n",
       "3: Pouze bydlení                                                             40,3 mld, Kč       \n",
       "\n",
       "                                       Rozdíl ČSH vůči V0 (za 15 let)  \\\n",
       "0: Bez zákona                                             0,0 mld, Kč   \n",
       "1A: Mix opatření                                          2,1 mld, Kč   \n",
       "1B: Mix opatření - 2x více bytů                           4,2 mld, Kč   \n",
       "2: Pouze poradenství a sociální služby                   -0,9 mld, Kč   \n",
       "3: Pouze bydlení                                         -0,7 mld, Kč   \n",
       "\n",
       "                                       Počet domácností v bytové nouzi po 15 letech  \n",
       "0: Bez zákona                                                                 81214  \n",
       "1A: Mix opatření                                                              41570  \n",
       "1B: Mix opatření - 2x více bytů                                               32439  \n",
       "2: Pouze poradenství a sociální služby                                        50905  \n",
       "3: Pouze bydlení                                                              70592  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "npv = pd.Series({variant['title']:variant['costs_discounted'].drop('queue_social',axis=1).sum().sum() for variant in output_variants})\n",
    "\n",
    "hhs_last_year = pd.Series({variant['title']:variant['hhs'][['guaranteed','municipal','mop_payment','self_help','consulting','queue']].sum(axis=1).iloc[-1] for variant in output_variants})\n",
    "pd.DataFrame({\n",
    "    'Čistá současná hodnota nákladů na variantu (za 15 let)':npv.apply(lambda x: f\"{(x/1000000000):.1f} mld. Kč\").str.replace('.',','),\n",
    "    'Rozdíl ČSH vůči V0 (za 15 let)': (npv - npv.loc['0: Bez zákona']).apply(lambda x: f\"{(x/1000000000):.1f} mld. Kč\").str.replace('.',','),\n",
    "    'Počet domácností v bytové nouzi po 15 letech':hhs_last_year.apply(lambda x: f\"{x:.0f}\").str.replace('.',',')\n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Graf: Počet intervencí ve variantě 1A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "gather": {
     "logged": 1695817310789
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='rok'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colmap = {\n",
    "        'self_help': 'Svépomoc',\n",
    "        'mop_payment': 'Mimořádná okamžitá pomoc',\n",
    "        'consulting': 'Poradenství',\n",
    "        'guaranteed': 'Garantované bydlení',\n",
    "        'municipal': 'Obecní bydlení',\n",
    "    }\n",
    "\n",
    "OUTPUT_1A['interventions'][colmap.keys()].stack('intervention_type').sum(axis=1).unstack('intervention_type').rename(colmap,axis=1)[colmap.values()].plot.bar(figsize=(20,6),grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Graf Domácnosti s asistencí v bydlení dle typu intervence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "gather": {
     "logged": 1695817314730
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "social = OUTPUT_1A['social_assistence_breakdown'][['municipal','guaranteed','mop_payment']].rename({\n",
    "    'guaranteed':'Domácnosti v garantových bytech',\n",
    "    'municipal':'Domácnosti v obecních bytech',\n",
    "    'mop_payment':'Domácnosti s dávkou MOP'\n",
    "},axis=1)\n",
    "ax = social.plot.bar(stacked=True,figsize=(20,6),grid=True, title='', fontsize=15,xlabel='')\n",
    "ax.legend(fontsize=15, loc='lower center');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Graf Náklady vynaložené na nástroje řešení bytové nouze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "gather": {
     "logged": 1695817417799
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': '1A: Mix opatření'}, xlabel='rok'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_interventions_costs(OUTPUT_1A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Graf Náklady vč. rozpočtových nákladů bytové nouze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "gather": {
     "logged": 1695817422670
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explicit_costs = get_intervention_costs(OUTPUT_1A,costs_type='costs')\n",
    "explicit_costs['Rozpočtové náklady bytové nouze'] = OUTPUT_1A['costs'].queue_budget\n",
    "ax = explicit_costs.plot.bar(stacked=True,figsize=(20,9),grid=True,fontsize=15)\n",
    "ax.yaxis.set_major_formatter(MLN_FORMATTER)\n",
    "ax.legend(fontsize=15)\n",
    "ax.set_xlabel('');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Tabulka Náklady zákona v 5. roce implementace dle Cost-Benefit analýzy (CBA) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "gather": {
     "logged": 1695817427981
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Byty s garancí pro majitele (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Obecní byty pro CS (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Poradenství</th>\n",
       "      <th>Vyplacené MOP</th>\n",
       "      <th>Asistence v bydlení</th>\n",
       "      <th>IT systém</th>\n",
       "      <th>Náklady na výkon veřejné správy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rok</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2025</th>\n",
       "      <td>64323000.0</td>\n",
       "      <td>29885888.0</td>\n",
       "      <td>406901511.0</td>\n",
       "      <td>1.717310e+08</td>\n",
       "      <td>2.154598e+08</td>\n",
       "      <td>80000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026</th>\n",
       "      <td>145474500.0</td>\n",
       "      <td>74714720.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.313831e+08</td>\n",
       "      <td>4.251770e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>202131000.0</td>\n",
       "      <td>134907424.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.849032e+08</td>\n",
       "      <td>5.722334e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2028</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>165687784.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.629569e+08</td>\n",
       "      <td>6.188148e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2029</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>181893512.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.492109e+08</td>\n",
       "      <td>6.112422e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>183208912.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.390246e+08</td>\n",
       "      <td>6.059016e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>184419080.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.305748e+08</td>\n",
       "      <td>6.016828e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>185681864.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.233977e+08</td>\n",
       "      <td>5.981833e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>186944648.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.172409e+08</td>\n",
       "      <td>5.954700e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>188207432.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.118869e+08</td>\n",
       "      <td>5.932118e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>189522832.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.072940e+08</td>\n",
       "      <td>5.914133e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>190733000.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.032861e+08</td>\n",
       "      <td>5.900074e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>191995784.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>1.998365e+08</td>\n",
       "      <td>5.888684e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2038</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>193258568.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>1.968705e+08</td>\n",
       "      <td>5.881757e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>226626000.0</td>\n",
       "      <td>194521352.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>1.942669e+08</td>\n",
       "      <td>5.876592e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Byty s garancí pro majitele (náklady na aktuálně podporované byty)  \\\n",
       "rok                                                                        \n",
       "2025                                         64323000.0                    \n",
       "2026                                        145474500.0                    \n",
       "2027                                        202131000.0                    \n",
       "2028                                        226626000.0                    \n",
       "2029                                        226626000.0                    \n",
       "2030                                        226626000.0                    \n",
       "2031                                        226626000.0                    \n",
       "2032                                        226626000.0                    \n",
       "2033                                        226626000.0                    \n",
       "2034                                        226626000.0                    \n",
       "2035                                        226626000.0                    \n",
       "2036                                        226626000.0                    \n",
       "2037                                        226626000.0                    \n",
       "2038                                        226626000.0                    \n",
       "2039                                        226626000.0                    \n",
       "\n",
       "      Obecní byty pro CS (náklady na aktuálně podporované byty)  Poradenství  \\\n",
       "rok                                                                            \n",
       "2025                                         29885888.0          406901511.0   \n",
       "2026                                         74714720.0          483074298.0   \n",
       "2027                                        134907424.0          483074298.0   \n",
       "2028                                        165687784.0          483074298.0   \n",
       "2029                                        181893512.0          483074298.0   \n",
       "2030                                        183208912.0          483074298.0   \n",
       "2031                                        184419080.0          483074298.0   \n",
       "2032                                        185681864.0          483074298.0   \n",
       "2033                                        186944648.0          483074298.0   \n",
       "2034                                        188207432.0          483074298.0   \n",
       "2035                                        189522832.0          483074298.0   \n",
       "2036                                        190733000.0          483074298.0   \n",
       "2037                                        191995784.0          483074298.0   \n",
       "2038                                        193258568.0          483074298.0   \n",
       "2039                                        194521352.0          483074298.0   \n",
       "\n",
       "      Vyplacené MOP  Asistence v bydlení   IT systém  \\\n",
       "rok                                                    \n",
       "2025   1.717310e+08         2.154598e+08  80000000.0   \n",
       "2026   2.313831e+08         4.251770e+08  20000000.0   \n",
       "2027   2.849032e+08         5.722334e+08  20000000.0   \n",
       "2028   2.629569e+08         6.188148e+08  20000000.0   \n",
       "2029   2.492109e+08         6.112422e+08  20000000.0   \n",
       "2030   2.390246e+08         6.059016e+08  20000000.0   \n",
       "2031   2.305748e+08         6.016828e+08  20000000.0   \n",
       "2032   2.233977e+08         5.981833e+08  20000000.0   \n",
       "2033   2.172409e+08         5.954700e+08  20000000.0   \n",
       "2034   2.118869e+08         5.932118e+08  20000000.0   \n",
       "2035   2.072940e+08         5.914133e+08  20000000.0   \n",
       "2036   2.032861e+08         5.900074e+08  20000000.0   \n",
       "2037   1.998365e+08         5.888684e+08  20000000.0   \n",
       "2038   1.968705e+08         5.881757e+08  20000000.0   \n",
       "2039   1.942669e+08         5.876592e+08  20000000.0   \n",
       "\n",
       "      Náklady na výkon veřejné správy  \n",
       "rok                                    \n",
       "2025                       65438210.0  \n",
       "2026                       65438210.0  \n",
       "2027                       65438210.0  \n",
       "2028                       65438210.0  \n",
       "2029                       65438210.0  \n",
       "2030                       65438210.0  \n",
       "2031                       65438210.0  \n",
       "2032                       65438210.0  \n",
       "2033                       65438210.0  \n",
       "2034                       65438210.0  \n",
       "2035                       65438210.0  \n",
       "2036                       65438210.0  \n",
       "2037                       65438210.0  \n",
       "2038                       65438210.0  \n",
       "2039                       65438210.0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_intervention_costs(OUTPUT_1A,costs_type='costs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "gather": {
     "logged": 1695817432109
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Byty s garancí pro majitele (náklady na aktuálně podporované byty)    2.266260e+08\n",
       "Obecní byty pro CS (náklady na aktuálně podporované byty)             1.818935e+08\n",
       "Poradenství                                                           4.830743e+08\n",
       "Vyplacené MOP                                                         2.492109e+08\n",
       "Asistence v bydlení                                                   6.112422e+08\n",
       "IT systém                                                             2.000000e+07\n",
       "Náklady na výkon veřejné správy                                       6.543821e+07\n",
       "Rozpočtové náklady bytové nouze                                       2.122363e+09\n",
       "Name: 2029, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explicit_costs.loc[2029]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "gather": {
     "logged": 1695817434089
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2029</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bydlení s garancí</th>\n",
       "      <td>226 mil. Kč</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Obecní podporované byty</th>\n",
       "      <td>181 mil. Kč</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poradenství na obcích</th>\n",
       "      <td>483 mil. Kč</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asistence v bydlení</th>\n",
       "      <td>611 mil. Kč</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Krajské úřady a restory (MPSV a MMR)</th>\n",
       "      <td>65 mil. Kč</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT systém</th>\n",
       "      <td>20 mil. Kč</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Celkem</th>\n",
       "      <td>1588 mil. Kč</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              2029\n",
       "Bydlení s garancí                      226 mil. Kč\n",
       "Obecní podporované byty                181 mil. Kč\n",
       "Poradenství na obcích                  483 mil. Kč\n",
       "Asistence v bydlení                    611 mil. Kč\n",
       "Krajské úřady a restory (MPSV a MMR)    65 mil. Kč\n",
       "IT systém                               20 mil. Kč\n",
       "Celkem                                1588 mil. Kč"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explicit_costs = get_intervention_costs(OUTPUT_1A,costs_type='costs')\n",
    "\n",
    "tbl_cols= {\n",
    "    'Byty s garancí pro majitele (náklady na aktuálně podporované byty)':'Bydlení s garancí',\n",
    "    'Obecní byty pro CS (náklady na aktuálně podporované byty)':'Obecní podporované byty',\n",
    "    'Poradenství':'Poradenství na obcích',\n",
    "    'Asistence v bydlení':'Asistence v bydlení',\n",
    "    'Náklady na výkon veřejné správy':'Krajské úřady a restory (MPSV a MMR)',\n",
    "    'IT systém':'IT systém',\n",
    "}\n",
    "\n",
    "tbl_implementace = explicit_costs.loc[2029].rename(tbl_cols)[tbl_cols.values()]\n",
    "tbl_implementace['Celkem'] = tbl_implementace.sum()\n",
    "tbl_implementace\n",
    "(tbl_implementace/1000000).apply(round).apply(lambda row: f'{row} mil. Kč').to_frame()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Výpočty pro text v ZZ RIA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Celkový počet domácností v BN jako podíl vůči prvnímu roku (v textu RIA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "gather": {
     "logged": 1691053117223
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='rok'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = pd.DataFrame({variant['title']:variant['hhs'][['guaranteed','municipal','mop_payment','self_help','consulting','queue']].sum(axis=1) for variant in output_variants})\n",
    "(x/x.iloc[0]).plot(figsize=(20,6),grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Podíl opatření"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>intervention_type</th>\n",
       "      <th>consulting</th>\n",
       "      <th>guaranteed</th>\n",
       "      <th>mop_payment</th>\n",
       "      <th>municipal</th>\n",
       "      <th>self_help</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rok</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2025</th>\n",
       "      <td>0.129532</td>\n",
       "      <td>0.059487</td>\n",
       "      <td>0.259064</td>\n",
       "      <td>0.033788</td>\n",
       "      <td>0.518129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026</th>\n",
       "      <td>0.154330</td>\n",
       "      <td>0.080016</td>\n",
       "      <td>0.308660</td>\n",
       "      <td>0.045449</td>\n",
       "      <td>0.411546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>0.169684</td>\n",
       "      <td>0.096426</td>\n",
       "      <td>0.339367</td>\n",
       "      <td>0.055156</td>\n",
       "      <td>0.339367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2028</th>\n",
       "      <td>0.167117</td>\n",
       "      <td>0.104292</td>\n",
       "      <td>0.334234</td>\n",
       "      <td>0.060124</td>\n",
       "      <td>0.334234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2029</th>\n",
       "      <td>0.165269</td>\n",
       "      <td>0.109909</td>\n",
       "      <td>0.330538</td>\n",
       "      <td>0.063747</td>\n",
       "      <td>0.330538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>0.163720</td>\n",
       "      <td>0.114484</td>\n",
       "      <td>0.327440</td>\n",
       "      <td>0.066916</td>\n",
       "      <td>0.327440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>0.162340</td>\n",
       "      <td>0.118578</td>\n",
       "      <td>0.324679</td>\n",
       "      <td>0.069724</td>\n",
       "      <td>0.324679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>0.161061</td>\n",
       "      <td>0.122296</td>\n",
       "      <td>0.322122</td>\n",
       "      <td>0.072399</td>\n",
       "      <td>0.322122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>0.159870</td>\n",
       "      <td>0.125681</td>\n",
       "      <td>0.319740</td>\n",
       "      <td>0.074969</td>\n",
       "      <td>0.319740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>0.158791</td>\n",
       "      <td>0.128779</td>\n",
       "      <td>0.317581</td>\n",
       "      <td>0.077267</td>\n",
       "      <td>0.317581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>0.157780</td>\n",
       "      <td>0.131567</td>\n",
       "      <td>0.315560</td>\n",
       "      <td>0.079532</td>\n",
       "      <td>0.315560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>0.156874</td>\n",
       "      <td>0.134099</td>\n",
       "      <td>0.313748</td>\n",
       "      <td>0.081532</td>\n",
       "      <td>0.313748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>0.156037</td>\n",
       "      <td>0.136362</td>\n",
       "      <td>0.312074</td>\n",
       "      <td>0.083454</td>\n",
       "      <td>0.312074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2038</th>\n",
       "      <td>0.155263</td>\n",
       "      <td>0.138375</td>\n",
       "      <td>0.310527</td>\n",
       "      <td>0.085308</td>\n",
       "      <td>0.310527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>0.154579</td>\n",
       "      <td>0.140189</td>\n",
       "      <td>0.309157</td>\n",
       "      <td>0.086917</td>\n",
       "      <td>0.309157</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "intervention_type  consulting  guaranteed  mop_payment  municipal  self_help\n",
       "rok                                                                         \n",
       "2025                 0.129532    0.059487     0.259064   0.033788   0.518129\n",
       "2026                 0.154330    0.080016     0.308660   0.045449   0.411546\n",
       "2027                 0.169684    0.096426     0.339367   0.055156   0.339367\n",
       "2028                 0.167117    0.104292     0.334234   0.060124   0.334234\n",
       "2029                 0.165269    0.109909     0.330538   0.063747   0.330538\n",
       "2030                 0.163720    0.114484     0.327440   0.066916   0.327440\n",
       "2031                 0.162340    0.118578     0.324679   0.069724   0.324679\n",
       "2032                 0.161061    0.122296     0.322122   0.072399   0.322122\n",
       "2033                 0.159870    0.125681     0.319740   0.074969   0.319740\n",
       "2034                 0.158791    0.128779     0.317581   0.077267   0.317581\n",
       "2035                 0.157780    0.131567     0.315560   0.079532   0.315560\n",
       "2036                 0.156874    0.134099     0.313748   0.081532   0.313748\n",
       "2037                 0.156037    0.136362     0.312074   0.083454   0.312074\n",
       "2038                 0.155263    0.138375     0.310527   0.085308   0.310527\n",
       "2039                 0.154579    0.140189     0.309157   0.086917   0.309157"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interventions = OUTPUT_1A['interventions'].groupby('intervention_type',axis=1).sum()\n",
    "interventions.div(interventions.sum(axis=1),axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intervention_type\n",
       "consulting     0.158521\n",
       "guaranteed     0.114316\n",
       "mop_payment    0.317043\n",
       "municipal      0.067872\n",
       "self_help      0.342248\n",
       "dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interventions.sum()/interventions.sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Podíly nákladů"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Byty s garancí pro majitele (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Obecní byty pro CS (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Poradenství</th>\n",
       "      <th>Vyplacené MOP</th>\n",
       "      <th>Asistence v bydlení</th>\n",
       "      <th>IT systém</th>\n",
       "      <th>Náklady na výkon veřejné správy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rok</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2025</th>\n",
       "      <td>0.062224</td>\n",
       "      <td>0.028910</td>\n",
       "      <td>0.393621</td>\n",
       "      <td>0.166126</td>\n",
       "      <td>0.208428</td>\n",
       "      <td>0.077389</td>\n",
       "      <td>0.063302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026</th>\n",
       "      <td>0.100656</td>\n",
       "      <td>0.051696</td>\n",
       "      <td>0.334247</td>\n",
       "      <td>0.160098</td>\n",
       "      <td>0.294187</td>\n",
       "      <td>0.013838</td>\n",
       "      <td>0.045278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>0.114672</td>\n",
       "      <td>0.076535</td>\n",
       "      <td>0.274056</td>\n",
       "      <td>0.161630</td>\n",
       "      <td>0.324637</td>\n",
       "      <td>0.011346</td>\n",
       "      <td>0.037124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2028</th>\n",
       "      <td>0.122993</td>\n",
       "      <td>0.089921</td>\n",
       "      <td>0.262170</td>\n",
       "      <td>0.142710</td>\n",
       "      <td>0.335838</td>\n",
       "      <td>0.010854</td>\n",
       "      <td>0.035514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2029</th>\n",
       "      <td>0.123335</td>\n",
       "      <td>0.098990</td>\n",
       "      <td>0.262900</td>\n",
       "      <td>0.135626</td>\n",
       "      <td>0.332652</td>\n",
       "      <td>0.010884</td>\n",
       "      <td>0.035613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>0.124296</td>\n",
       "      <td>0.100483</td>\n",
       "      <td>0.264949</td>\n",
       "      <td>0.131096</td>\n",
       "      <td>0.332315</td>\n",
       "      <td>0.010969</td>\n",
       "      <td>0.035891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>0.125082</td>\n",
       "      <td>0.101787</td>\n",
       "      <td>0.266624</td>\n",
       "      <td>0.127262</td>\n",
       "      <td>0.332088</td>\n",
       "      <td>0.011039</td>\n",
       "      <td>0.036117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>0.125736</td>\n",
       "      <td>0.103019</td>\n",
       "      <td>0.268017</td>\n",
       "      <td>0.123944</td>\n",
       "      <td>0.331881</td>\n",
       "      <td>0.011096</td>\n",
       "      <td>0.036306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>0.126269</td>\n",
       "      <td>0.104159</td>\n",
       "      <td>0.269153</td>\n",
       "      <td>0.121039</td>\n",
       "      <td>0.331776</td>\n",
       "      <td>0.011143</td>\n",
       "      <td>0.036460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>0.126717</td>\n",
       "      <td>0.105235</td>\n",
       "      <td>0.270109</td>\n",
       "      <td>0.118475</td>\n",
       "      <td>0.331691</td>\n",
       "      <td>0.011183</td>\n",
       "      <td>0.036589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>0.127077</td>\n",
       "      <td>0.106272</td>\n",
       "      <td>0.270877</td>\n",
       "      <td>0.116237</td>\n",
       "      <td>0.331627</td>\n",
       "      <td>0.011215</td>\n",
       "      <td>0.036694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>0.127378</td>\n",
       "      <td>0.107204</td>\n",
       "      <td>0.271517</td>\n",
       "      <td>0.114259</td>\n",
       "      <td>0.331620</td>\n",
       "      <td>0.011241</td>\n",
       "      <td>0.036780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>0.127616</td>\n",
       "      <td>0.108116</td>\n",
       "      <td>0.272026</td>\n",
       "      <td>0.112531</td>\n",
       "      <td>0.331600</td>\n",
       "      <td>0.011262</td>\n",
       "      <td>0.036849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2038</th>\n",
       "      <td>0.127789</td>\n",
       "      <td>0.108974</td>\n",
       "      <td>0.272393</td>\n",
       "      <td>0.111010</td>\n",
       "      <td>0.331657</td>\n",
       "      <td>0.011277</td>\n",
       "      <td>0.036899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>0.127923</td>\n",
       "      <td>0.109801</td>\n",
       "      <td>0.272679</td>\n",
       "      <td>0.109657</td>\n",
       "      <td>0.331714</td>\n",
       "      <td>0.011289</td>\n",
       "      <td>0.036938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Byty s garancí pro majitele (náklady na aktuálně podporované byty)  \\\n",
       "rok                                                                        \n",
       "2025                                           0.062224                    \n",
       "2026                                           0.100656                    \n",
       "2027                                           0.114672                    \n",
       "2028                                           0.122993                    \n",
       "2029                                           0.123335                    \n",
       "2030                                           0.124296                    \n",
       "2031                                           0.125082                    \n",
       "2032                                           0.125736                    \n",
       "2033                                           0.126269                    \n",
       "2034                                           0.126717                    \n",
       "2035                                           0.127077                    \n",
       "2036                                           0.127378                    \n",
       "2037                                           0.127616                    \n",
       "2038                                           0.127789                    \n",
       "2039                                           0.127923                    \n",
       "\n",
       "      Obecní byty pro CS (náklady na aktuálně podporované byty)  Poradenství  \\\n",
       "rok                                                                            \n",
       "2025                                           0.028910             0.393621   \n",
       "2026                                           0.051696             0.334247   \n",
       "2027                                           0.076535             0.274056   \n",
       "2028                                           0.089921             0.262170   \n",
       "2029                                           0.098990             0.262900   \n",
       "2030                                           0.100483             0.264949   \n",
       "2031                                           0.101787             0.266624   \n",
       "2032                                           0.103019             0.268017   \n",
       "2033                                           0.104159             0.269153   \n",
       "2034                                           0.105235             0.270109   \n",
       "2035                                           0.106272             0.270877   \n",
       "2036                                           0.107204             0.271517   \n",
       "2037                                           0.108116             0.272026   \n",
       "2038                                           0.108974             0.272393   \n",
       "2039                                           0.109801             0.272679   \n",
       "\n",
       "      Vyplacené MOP  Asistence v bydlení  IT systém  \\\n",
       "rok                                                   \n",
       "2025       0.166126             0.208428   0.077389   \n",
       "2026       0.160098             0.294187   0.013838   \n",
       "2027       0.161630             0.324637   0.011346   \n",
       "2028       0.142710             0.335838   0.010854   \n",
       "2029       0.135626             0.332652   0.010884   \n",
       "2030       0.131096             0.332315   0.010969   \n",
       "2031       0.127262             0.332088   0.011039   \n",
       "2032       0.123944             0.331881   0.011096   \n",
       "2033       0.121039             0.331776   0.011143   \n",
       "2034       0.118475             0.331691   0.011183   \n",
       "2035       0.116237             0.331627   0.011215   \n",
       "2036       0.114259             0.331620   0.011241   \n",
       "2037       0.112531             0.331600   0.011262   \n",
       "2038       0.111010             0.331657   0.011277   \n",
       "2039       0.109657             0.331714   0.011289   \n",
       "\n",
       "      Náklady na výkon veřejné správy  \n",
       "rok                                    \n",
       "2025                         0.063302  \n",
       "2026                         0.045278  \n",
       "2027                         0.037124  \n",
       "2028                         0.035514  \n",
       "2029                         0.035613  \n",
       "2030                         0.035891  \n",
       "2031                         0.036117  \n",
       "2032                         0.036306  \n",
       "2033                         0.036460  \n",
       "2034                         0.036589  \n",
       "2035                         0.036694  \n",
       "2036                         0.036780  \n",
       "2037                         0.036849  \n",
       "2038                         0.036899  \n",
       "2039                         0.036938  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explicit_costs = get_intervention_costs(OUTPUT_1A,costs_type='costs')\n",
    "\n",
    "explicit_costs.div(explicit_costs.sum(axis=1),axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Byty s garancí pro majitele (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Obecní byty pro CS (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Poradenství</th>\n",
       "      <th>Vyplacené MOP</th>\n",
       "      <th>Asistence v bydlení</th>\n",
       "      <th>IT systém</th>\n",
       "      <th>Náklady na výkon veřejné správy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rok</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2025</th>\n",
       "      <td>64.3230</td>\n",
       "      <td>29.885888</td>\n",
       "      <td>406.901511</td>\n",
       "      <td>171.731014</td>\n",
       "      <td>215.459833</td>\n",
       "      <td>80.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026</th>\n",
       "      <td>145.4745</td>\n",
       "      <td>74.714720</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>231.383085</td>\n",
       "      <td>425.176960</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>202.1310</td>\n",
       "      <td>134.907424</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>284.903246</td>\n",
       "      <td>572.233429</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2028</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>165.687784</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>262.956917</td>\n",
       "      <td>618.814840</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2029</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>181.893512</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>249.210855</td>\n",
       "      <td>611.242186</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>183.208912</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>239.024647</td>\n",
       "      <td>605.901612</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>184.419080</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>230.574756</td>\n",
       "      <td>601.682827</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>185.681864</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>223.397706</td>\n",
       "      <td>598.183334</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>186.944648</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>217.240868</td>\n",
       "      <td>595.470041</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>188.207432</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>211.886864</td>\n",
       "      <td>593.211767</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>189.522832</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>207.294024</td>\n",
       "      <td>591.413267</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>190.733000</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>203.286116</td>\n",
       "      <td>590.007426</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>191.995784</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>199.836460</td>\n",
       "      <td>588.868354</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2038</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>193.258568</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>196.870490</td>\n",
       "      <td>588.175720</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>226.6260</td>\n",
       "      <td>194.521352</td>\n",
       "      <td>483.074298</td>\n",
       "      <td>194.266922</td>\n",
       "      <td>587.659196</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.43821</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Byty s garancí pro majitele (náklady na aktuálně podporované byty)  \\\n",
       "rok                                                                        \n",
       "2025                                            64.3230                    \n",
       "2026                                           145.4745                    \n",
       "2027                                           202.1310                    \n",
       "2028                                           226.6260                    \n",
       "2029                                           226.6260                    \n",
       "2030                                           226.6260                    \n",
       "2031                                           226.6260                    \n",
       "2032                                           226.6260                    \n",
       "2033                                           226.6260                    \n",
       "2034                                           226.6260                    \n",
       "2035                                           226.6260                    \n",
       "2036                                           226.6260                    \n",
       "2037                                           226.6260                    \n",
       "2038                                           226.6260                    \n",
       "2039                                           226.6260                    \n",
       "\n",
       "      Obecní byty pro CS (náklady na aktuálně podporované byty)  Poradenství  \\\n",
       "rok                                                                            \n",
       "2025                                          29.885888           406.901511   \n",
       "2026                                          74.714720           483.074298   \n",
       "2027                                         134.907424           483.074298   \n",
       "2028                                         165.687784           483.074298   \n",
       "2029                                         181.893512           483.074298   \n",
       "2030                                         183.208912           483.074298   \n",
       "2031                                         184.419080           483.074298   \n",
       "2032                                         185.681864           483.074298   \n",
       "2033                                         186.944648           483.074298   \n",
       "2034                                         188.207432           483.074298   \n",
       "2035                                         189.522832           483.074298   \n",
       "2036                                         190.733000           483.074298   \n",
       "2037                                         191.995784           483.074298   \n",
       "2038                                         193.258568           483.074298   \n",
       "2039                                         194.521352           483.074298   \n",
       "\n",
       "      Vyplacené MOP  Asistence v bydlení  IT systém  \\\n",
       "rok                                                   \n",
       "2025     171.731014           215.459833       80.0   \n",
       "2026     231.383085           425.176960       20.0   \n",
       "2027     284.903246           572.233429       20.0   \n",
       "2028     262.956917           618.814840       20.0   \n",
       "2029     249.210855           611.242186       20.0   \n",
       "2030     239.024647           605.901612       20.0   \n",
       "2031     230.574756           601.682827       20.0   \n",
       "2032     223.397706           598.183334       20.0   \n",
       "2033     217.240868           595.470041       20.0   \n",
       "2034     211.886864           593.211767       20.0   \n",
       "2035     207.294024           591.413267       20.0   \n",
       "2036     203.286116           590.007426       20.0   \n",
       "2037     199.836460           588.868354       20.0   \n",
       "2038     196.870490           588.175720       20.0   \n",
       "2039     194.266922           587.659196       20.0   \n",
       "\n",
       "      Náklady na výkon veřejné správy  \n",
       "rok                                    \n",
       "2025                         65.43821  \n",
       "2026                         65.43821  \n",
       "2027                         65.43821  \n",
       "2028                         65.43821  \n",
       "2029                         65.43821  \n",
       "2030                         65.43821  \n",
       "2031                         65.43821  \n",
       "2032                         65.43821  \n",
       "2033                         65.43821  \n",
       "2034                         65.43821  \n",
       "2035                         65.43821  \n",
       "2036                         65.43821  \n",
       "2037                         65.43821  \n",
       "2038                         65.43821  \n",
       "2039                         65.43821  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explicit_costs/1000000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Srovnání s variantou 1B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Byty s garancí pro majitele (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Obecní byty pro CS (náklady na aktuálně podporované byty)</th>\n",
       "      <th>Poradenství</th>\n",
       "      <th>Vyplacené MOP</th>\n",
       "      <th>Asistence v bydlení</th>\n",
       "      <th>IT systém</th>\n",
       "      <th>Náklady na výkon veřejné správy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rok</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2025</th>\n",
       "      <td>128646000.0</td>\n",
       "      <td>46617776.0</td>\n",
       "      <td>406901511.0</td>\n",
       "      <td>1.860975e+08</td>\n",
       "      <td>3.151396e+08</td>\n",
       "      <td>80000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026</th>\n",
       "      <td>290949000.0</td>\n",
       "      <td>116597056.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.481610e+08</td>\n",
       "      <td>6.714192e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>404262000.0</td>\n",
       "      <td>210674464.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>3.002050e+08</td>\n",
       "      <td>9.131989e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2028</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>259028568.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.917582e+08</td>\n",
       "      <td>1.005967e+09</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2029</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>284863024.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.761535e+08</td>\n",
       "      <td>9.972319e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>287441208.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.630306e+08</td>\n",
       "      <td>9.909514e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>289966776.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.515800e+08</td>\n",
       "      <td>9.859193e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>292439728.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.416513e+08</td>\n",
       "      <td>9.818058e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>294965296.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.330963e+08</td>\n",
       "      <td>9.786190e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>297490864.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.256761e+08</td>\n",
       "      <td>9.762377e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>300069048.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.192551e+08</td>\n",
       "      <td>9.744137e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>302542000.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.136830e+08</td>\n",
       "      <td>9.730628e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>305067568.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.088980e+08</td>\n",
       "      <td>9.722637e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2038</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>307593136.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.047389e+08</td>\n",
       "      <td>9.719477e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>453252000.0</td>\n",
       "      <td>310171320.0</td>\n",
       "      <td>483074298.0</td>\n",
       "      <td>2.011388e+08</td>\n",
       "      <td>9.719101e+08</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>65438210.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Byty s garancí pro majitele (náklady na aktuálně podporované byty)  \\\n",
       "rok                                                                        \n",
       "2025                                        128646000.0                    \n",
       "2026                                        290949000.0                    \n",
       "2027                                        404262000.0                    \n",
       "2028                                        453252000.0                    \n",
       "2029                                        453252000.0                    \n",
       "2030                                        453252000.0                    \n",
       "2031                                        453252000.0                    \n",
       "2032                                        453252000.0                    \n",
       "2033                                        453252000.0                    \n",
       "2034                                        453252000.0                    \n",
       "2035                                        453252000.0                    \n",
       "2036                                        453252000.0                    \n",
       "2037                                        453252000.0                    \n",
       "2038                                        453252000.0                    \n",
       "2039                                        453252000.0                    \n",
       "\n",
       "      Obecní byty pro CS (náklady na aktuálně podporované byty)  Poradenství  \\\n",
       "rok                                                                            \n",
       "2025                                         46617776.0          406901511.0   \n",
       "2026                                        116597056.0          483074298.0   \n",
       "2027                                        210674464.0          483074298.0   \n",
       "2028                                        259028568.0          483074298.0   \n",
       "2029                                        284863024.0          483074298.0   \n",
       "2030                                        287441208.0          483074298.0   \n",
       "2031                                        289966776.0          483074298.0   \n",
       "2032                                        292439728.0          483074298.0   \n",
       "2033                                        294965296.0          483074298.0   \n",
       "2034                                        297490864.0          483074298.0   \n",
       "2035                                        300069048.0          483074298.0   \n",
       "2036                                        302542000.0          483074298.0   \n",
       "2037                                        305067568.0          483074298.0   \n",
       "2038                                        307593136.0          483074298.0   \n",
       "2039                                        310171320.0          483074298.0   \n",
       "\n",
       "      Vyplacené MOP  Asistence v bydlení   IT systém  \\\n",
       "rok                                                    \n",
       "2025   1.860975e+08         3.151396e+08  80000000.0   \n",
       "2026   2.481610e+08         6.714192e+08  20000000.0   \n",
       "2027   3.002050e+08         9.131989e+08  20000000.0   \n",
       "2028   2.917582e+08         1.005967e+09  20000000.0   \n",
       "2029   2.761535e+08         9.972319e+08  20000000.0   \n",
       "2030   2.630306e+08         9.909514e+08  20000000.0   \n",
       "2031   2.515800e+08         9.859193e+08  20000000.0   \n",
       "2032   2.416513e+08         9.818058e+08  20000000.0   \n",
       "2033   2.330963e+08         9.786190e+08  20000000.0   \n",
       "2034   2.256761e+08         9.762377e+08  20000000.0   \n",
       "2035   2.192551e+08         9.744137e+08  20000000.0   \n",
       "2036   2.136830e+08         9.730628e+08  20000000.0   \n",
       "2037   2.088980e+08         9.722637e+08  20000000.0   \n",
       "2038   2.047389e+08         9.719477e+08  20000000.0   \n",
       "2039   2.011388e+08         9.719101e+08  20000000.0   \n",
       "\n",
       "      Náklady na výkon veřejné správy  \n",
       "rok                                    \n",
       "2025                       65438210.0  \n",
       "2026                       65438210.0  \n",
       "2027                       65438210.0  \n",
       "2028                       65438210.0  \n",
       "2029                       65438210.0  \n",
       "2030                       65438210.0  \n",
       "2031                       65438210.0  \n",
       "2032                       65438210.0  \n",
       "2033                       65438210.0  \n",
       "2034                       65438210.0  \n",
       "2035                       65438210.0  \n",
       "2036                       65438210.0  \n",
       "2037                       65438210.0  \n",
       "2038                       65438210.0  \n",
       "2039                       65438210.0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "costs_1b = get_intervention_costs(OUTPUT_1B,costs_type='costs')\n",
    "costs_1b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': '1B: Mix opatření - 2x více bytů'}, xlabel='rok'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_interventions_costs(OUTPUT_1B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "instance_type": "ml.t3.medium",
  "kernel_info": {
   "name": "mapa_ss"
  },
  "kernelspec": {
   "display_name": "mapa_ss",
   "language": "python",
   "name": "mapa_ss"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  },
  "microsoft": {
   "host": {
    "AzureML": {
     "notebookHasBeenCompleted": true
    }
   },
   "ms_spell_check": {
    "ms_spell_check_language": "en"
   }
  },
  "nteract": {
   "version": "nteract-front-end@1.0.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}