Micro_interactions-Copy1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('logs/outfile-2019-07-05-14-44-59.p', 'rb') as fp:\n",
    "    data= pickle.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  [array([0.9977077], dtype=float32), 1],\n",
       "  (-0.01, 0.3103598355425624)],\n",
       " ...]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "low_lim = 28995+1000\n",
    "high_lim = low_lim + 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "insurance_costs = np.array([x[1][0][0] for x in data[low_lim: high_lim]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "agent_actions = [1 if x[1][1] in [2,3] else 0 for x in data[low_lim: high_lim]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Action (1: insured, 0:non-insured)')"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x345.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x345.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20., 4.8))\n",
    "plt.plot(range(len(insurance_costs)),insurance_costs)\n",
    "plt.title('Insurance cost')\n",
    "plt.figure(figsize=(20., 4.8))\n",
    "plt.plot(range(len(insurance_costs)), agent_actions)\n",
    "plt.title(\"Action (1: insured, 0:non-insured)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([], dtype=float64)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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