{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Variation du salaire de base"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialisations Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "import matplotlib.pyplot as plt\n",
    "#importer numpy permet de coler deux sections de courbes (nécessaire quand on fait varier le salaire de base en-dessous du SMIC mensuel)\n",
    "import numpy as np\n",
    "import openfisca_france\n",
    "from openfisca_core import tools\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialisations OpenFisca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tax_benefit_system = openfisca_france.FranceTaxBenefitSystem()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "date_naissance_parent1 = date(1980, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nb_heures_par_mois_temps_plein = 35 * 52 / 12.0\n",
    "smic_horaire = 9.670"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# On commence par simuler la variation de salaire entre 0 € et le SMIC mensuel\n",
    "# Entre 0 € et le SMIC mensuel, quand le salaire de base augmente, c'est le volume horaire qui augmente (de 0 à 35 heures hendomadaires)\n",
    "# Le salaire horaire quant à lui reste fixé au SMIC horaire\n",
    "\n",
    "scenario_under_smic = tax_benefit_system.new_scenario().init_single_entity(\n",
    "    axes = [\n",
    "        [\n",
    "            dict(\n",
    "                count = 10,\n",
    "                min = 0,\n",
    "                max = nb_heures_par_mois_temps_plein,\n",
    "                name = 'heures_remunerees_volume',\n",
    "                ),\n",
    "            dict(\n",
    "                count = 10,\n",
    "                min = 0,\n",
    "                max = nb_heures_par_mois_temps_plein * smic_horaire,\n",
    "                name = 'salaire_de_base',\n",
    "                ),\n",
    "            ],\n",
    "        ],\n",
    "    period = '2016-01',\n",
    "    parent1 = dict(\n",
    "        date_naissance = date_naissance_parent1,\n",
    "        contrat_de_travail = 1, # temps partiel\n",
    "        allegement_fillon_mode_recouvrement = 1, # anticipe_regularisation_fin_de_periode\n",
    "        ),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "simulation_under_smic = scenario_under_smic.new_simulation()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "salaire_de_base_under_smic = simulation_under_smic.calculate('salaire_de_base', '2016-01')\n",
    "salaire_de_base_under_smic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "allegement_fillon_under_smic = simulation_under_smic.calculate('allegement_fillon', '2016-01')\n",
    "allegement_fillon_under_smic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plt.plot(salaire_de_base_under_smic, allegement_fillon_under_smic)\n",
    "plt.xlabel(u'Salaire de base (€/mois)')\n",
    "plt.ylabel(u'Allègement Fillon (€/mois)')\n",
    "plt.title(u'Au-dessous du SMIC')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "smic_mensuel = nb_heures_par_mois_temps_plein * smic_horaire\n",
    "smic_mensuel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Au-delà du SMIC mensuel, on suppose que le volume horaire reste fixé à 35 heures,\n",
    "# et que c'est le salaire horaire qui augmente\n",
    "\n",
    "scenario_over_smic = tax_benefit_system.new_scenario().init_single_entity(\n",
    "    axes = [\n",
    "        dict(\n",
    "            count = 50,\n",
    "            min = smic_mensuel,\n",
    "            max = 5000,\n",
    "            name = 'salaire_de_base',\n",
    "            ),\n",
    "        ],\n",
    "    period = '2016-01',\n",
    "    parent1 = dict(\n",
    "        date_naissance = date_naissance_parent1,\n",
    "        contrat_de_travail = 0, # temps plein\n",
    "        allegement_fillon_mode_recouvrement = 1, # anticipe_regularisation_fin_de_periode\n",
    "        ),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "simulation_over_smic = scenario_over_smic.new_simulation()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "salaire_de_base_over_smic = simulation_over_smic.calculate('salaire_de_base', '2016-01')\n",
    "salaire_de_base_over_smic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "allegement_fillon_over_smic = simulation_over_smic.calculate('allegement_fillon', '2016-01')\n",
    "allegement_fillon_over_smic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plt.plot(salaire_de_base_over_smic, allegement_fillon_over_smic)\n",
    "plt.xlabel(u'Salaire de base (€/mois)')\n",
    "plt.ylabel(u'Allègement Fillon (€/mois)')\n",
    "plt.title(u'Au-dessus du SMIC')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# On crée ici la variable \"salaire_de_base\" qui est l'enchainement du segment : 0 €- SMIC mensuel et du segment SMIC mensuel - au-delà\n",
    "# le crochet [:-1] permet d'éviter que l'on ait l'observation \"SMIC mensuel\" en doublon\n",
    "\n",
    "salaire_de_base = np.concatenate([salaire_de_base_under_smic[:-1], salaire_de_base_over_smic])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "allegement_fillon = np.concatenate([allegement_fillon_under_smic[:-1], allegement_fillon_over_smic])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plt.plot(salaire_de_base, allegement_fillon)\n",
    "# plt.plot(salaire_de_base_under_smic, allegement_fillon_under_smic, label=u'Temps partiel de 0 à 35h/mois')\n",
    "# plt.plot(salaire_de_base_over_smic, allegement_fillon_over_smic, label=u'Temps plein')\n",
    "plt.xlabel(u'Salaire de base (€/mois)')\n",
    "plt.ylabel(u'Allègement Fillon (€/mois)')\n",
    "plt.title(u'Variation du salaire de base mensuel avec réduction du volume horaire au-dessous du SMIC')\n",
    "plt.grid(True)\n",
    "plt.axvline(x=smic_mensuel, color='r', label='SMIC')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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