examine_price_changes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This file contains the code that outputs the plot examining the effect of changes in log costs of different ingredients on the cost of the minimum cost diet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cufflinks as cf\n",
    "cf.go_offline()\n",
    "\n",
    "scale = [.5,.6,.7,.8,.9,1.,1.1,1.2,1.3,1.4,1.5]\n",
    "cost0 = getPrices.solve_subsistence_problem(FoodNutrients,Prices,diet_min[group],diet_max[group],tol=tol).fun\n",
    "\n",
    "Price_response={}\n",
    "for s in scale:\n",
    "    cost = {}\n",
    "    for i,p in enumerate(Prices):\n",
    "        my_p = Prices.copy()\n",
    "        my_p[i] = p*s\n",
    "        result = getPrices.solve_subsistence_problem(FoodNutrients,my_p,diet_min[group],diet_max[group],tol=tol)\n",
    "        cost[Prices.index[i]] = np.log(result.fun/cost0)\n",
    "    Price_response[np.log(s)] = cost\n",
    "\n",
    "Price_response = pd.DataFrame(Price_response).T\n",
    "Price_response.iplot(xTitle='change in log price',yTitle='change in log cost')"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}