From 959f6cfc25671c2a8f8b5dd849e140f68909b155 Mon Sep 17 00:00:00 2001 From: Ana Maria Echeverri Date: Wed, 28 Jan 2015 20:12:16 -0500 Subject: [PATCH 1/2] easy mode - no time for hard mode :-( --- some-pig.ipynb | 466 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 466 insertions(+) create mode 100644 some-pig.ipynb diff --git a/some-pig.ipynb b/some-pig.ipynb new file mode 100644 index 0000000..89730e2 --- /dev/null +++ b/some-pig.ipynb @@ -0,0 +1,466 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:c4951dbe6a1965c09db6156f1982f1d1a8c0fd7b9db5d10fa2659f500f61f538" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import math\n", + "import statistics as st\n", + "import random\n", + "import matplotlib.pyplot as plt" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 109 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 110 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Player:\n", + " \n", + " def __init__(self):\n", + " self.rolls_history = []\n", + " \n", + " \n", + " def roll_dice(self):\n", + " return random.choice([1 ,2 ,3 ,4 ,5 ,6])\n", + " \n", + "\n", + " def decision(self):\n", + " return random.choice([\"Hold\", \"Roll\"])\n", + " \n", + " \n", + " def turn(self): \n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " return [roll]\n", + " " + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 111 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Simulation:\n", + " \n", + " def __init__(self, player):\n", + " self.player = player\n", + " self.score = 0\n", + " \n", + " def update_score(self, rolls_history):\n", + " total = 0\n", + " for ind in range(len(rolls_history)):\n", + " for ind2 in range(len(rolls_history[ind])):\n", + " total += rolls_history[ind][ind2]\n", + " return total\n", + " \n", + " \n", + " def iterate(self):\n", + " sim_history = [] \n", + " for _ in range(7):\n", + " sim_history.append(self.player.turn())\n", + " self.player.rolls_history = sim_history\n", + " self.score = self.update_score(sim_history)\n", + " \n", + " \n", + " def report(self):\n", + " return self.player.rolls_history, self.score\n", + " \n", + " " + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 112 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def run_simulation(n):\n", + " scores = []\n", + " for _ in range(n):\n", + " simulation.iterate()\n", + " scores.append(simulation.report()[1])\n", + " return scores\n", + "\n", + "def print_histogram(data, n, title):\n", + " results_to_plot = data\n", + " plt.hist(results_to_plot)\n", + " avg = st.mean(data)\n", + " std = st.stdev(data)\n", + " plt.text(100,200,'Mean:'+str(round(avg)))\n", + " plt.text(100,180,'St Dev: '+str(round(std)))\n", + " plt.title(title)\n", + " plt.show()\n", + " \n", + "\n" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 113 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player = Player()\n", + "simulation = Simulation(player)\n", + "scores_1_roll = run_simulation(1000)\n", + "print_histogram(scores1roll,1000,\"Scores for Simulations of 1-roll turns \")\n" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAA90AAAEKCAYAAAAPajY4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nL2Yt2zcSucULAAAAAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 114 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Randomplayer(Player):\n", + " \n", + " def turn(self):\n", + " turn_results = []\n", + " while True:\n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " turn_results.append(roll)\n", + " if self.decision() == \"Hold\":\n", + " return turn_results\n", + " \n", + " " + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 115 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player_random = Randomplayer()\n", + "simulation = Simulation(player_random)\n", + "scores_n_rolls = run_simulation(1000)\n", + "print_histogram(scores_n_rolls,1000,\"Scores for Simulations of n-roll turns with random n \")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAAEKCAYAAACymEqVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nVgwHJTMzK4aDkpmZFeN/AZ7Vd+kMFHS7AAAAAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 116 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Player_2_rolls(Player):\n", + " \n", + " def turn(self):\n", + " turn_results = []\n", + " counter = 1\n", + " while counter <=2:\n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " turn_results.append(roll)\n", + " counter += 1\n", + " return turn_results" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 133 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player2 = Player_2_rolls()\n", + "simulation = Simulation(player3)\n", + "scores_2_rolls = run_simulation(1000)\n", + "print_histogram(scores_2_rolls,1000,\"Scores for Simulations of Max 3-roll turns\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAAEKCAYAAACymEqVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxXAomZlZMf4/HV+Bo1Zfk88AAAAASUVORK5CYII=\n", + "text": [ + "" + ] + } + ], + "prompt_number": 134 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Player_3_rolls(Player):\n", + " \n", + " def turn(self):\n", + " turn_results = []\n", + " counter = 1\n", + " while counter <=3:\n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " turn_results.append(roll)\n", + " counter += 1\n", + " return turn_results" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 117 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player3 = Player_3_rolls()\n", + "simulation = Simulation(player3)\n", + "scores_3_rolls = run_simulation(1000)\n", + "print_histogram(scores_3_rolls,1000,\"Scores for Simulations of Max 3-roll turns\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAAEKCAYAAACymEqVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAHUVJREFUeJzt3Xm4XFWd7vHvGwYJM3QwkBBIVCIEGYIIODXHpqWxGe32\nMsrcPO3QSnO16YA+kBa0ARtERbyXZoqIQZpJ8DKF4QgCQiNTIIQ5QgIJIFOARgP53T/WOslOpeqc\nOjlDrXPq/TxPPWfvXXvXWntXnf3WWnsoRQRmZmYlGNHqCpiZmXVxKJmZWTEcSmZmVgyHkpmZFcOh\nZGZmxXAomZlZMRxKw5CkL0taIOkNSesNcFkHSbphgF77Qkkn9WH5hZLG91+N+mYw35cSSDpM0u2V\n8cWSPtDKOln5HEpNkPQpSXdKek3SHyX9VtL2ra5XPZJWAU4HdomItSPi1X54zYbrHxEXR8Tf9LWM\nBiI/mqljp6Qjl1k4Yq2ImDMQFeutnt4XSePzTvu+mumjJP1Z0jMDUKfPSHpI0quSXpF0o6RJ/V1O\nk3VZ7v2z9uRQ6oGktYFfAz8E1gPGAv8G/Kmfy+mv92JDYDXg0RWogySpZtqgrH931WpyvtKvAm/2\nfRkpacvK+IHA0wzM+j0CfC4i1gNGA/cD5ze7sKSV+rEufVq/fq6LtZBDqWcTgYiIX0byTkTMiIiZ\nXTNIOkrSrNwt84ikyXn6Fvkb4KuSHpa0Z2WZCyX9VNK1kt4EOiSNkXS5pBclPS3pa5X5d5B0r6TX\nJc2XdHptRSVNZOlO7zVJN+Xpn5D037mlc4+kj1eW6ZR0sqQ7gLeACb1Z/wZdNF+W9ETeHt+R9EFJ\nd+XyL8mthuWWrSy/XBePpPUk/Tpvm1ckXSNpbH7uu8CngbNyl92Pal9L0jqSfpaXnyPpW10BnOvx\nW0nfz6/9tKTdKmUfJumpvD5PSzqwtn55vvdJOlPSvPz4gaRVG70vDVwEHFoZPxj4GZVwljRF0pOV\nz9s+led+KumyyvipjcqLiBcjYl4eHQEsBl5oVLG8He6QdIakl4ETJa3daLs2q977p6UtxxGV+Za0\npurUZaqkCyT9JH9O3pD0u+pnKb8fC/L/0ENaNvytFBHhRzcPYC3gZeBCYDdgvZrn/xcwF/hoHv8g\nsAmwCvAkMAVYGfgM8AYwMc93IfAa8PE8PhL4PfDtPP8E4Clg1/z8XcBBeXh1YMcG9d2UtHMZkcfX\nB14FDiLtePYHXulaD6ATmANskZ9fuZfrfxhwe2V8MXAlsCYwidSiugUYD6xN+nZ+SL1lK8t/IA9f\nAJxUWY/Pk1obawKXAldWlrsVOKKb1/pZrtcaeRs91jV/rsefgSNJO/8vAfPyc2sArwOb5fHRwKQG\n2/47wJ3AqPy4A/hOvfelzrLj8/ObAs/mekwihdkuwDOVeb8AbJiH9wXerIyPzOt2KGlH/xIwppvP\n9yb58/Ee8BCwfjfzHgYsAr6aPyurNbFdaz8bH2jw2su8f5XtMaLePA3qciHps7o9sBLwc2B6nv9v\ngHuBtfP4h7u2mR9lPdxS6kFELAQ+Repe+E/gRUm/kvT+PMs/AKdGxO/z/E9FxLPATsAaEXFKRLwb\nEbeSusEOqLz8VRFxVx7eGhgVESfn+Z8BziWFCKSd5maSRkXE2xFxd4Mq135L3R14LNKxn8URcQkw\nG9iraxWBCyPi0fz8u71c/3pOi4g3I2IWMBO4LiLmRMQbwHXA5G6WrSsiXomIKyO11N4Evgfs3MO6\np4mpa2c/4LiIeCsi/kA6vnNwZbY/RMR5ERGkHe1GlXVcDGwlaWRELMjrVc+BpBB6OSJeJnVzdpXR\nbOthLmnH/lngkFyXZUTEZRExPw9fCjwB7JDH/yeX+QNSq+ufIuL5RoVFxLORuu9GAQ+Svgh05/mI\n+ElELCaFQk/btTd61cKq1iUi3iF9Rq+IiHsj4j3gYmDbPO8i0hesLSSNiIjHurahlcWh1ISImB0R\nh0fEOOAjwBjgzPz0xqQWTa0xwHM10/6Qp0P6B5pbeW5TYIxSV9+rkl4FjgO6doxHkrrSHs1dcLs3\nWf0xpG/ejepBnXouo4f1r2dBZfh/asbfIbV0ekXS6pL+b+4ieh34DbBOTVdRo+MSo0gt1z9Upj1L\nOj7WZckOKiLezoNrRsRbpB3vl4Dnc9fQhxuUM6ZOGWMazNtIVygeTvpCchE1O2tJh0i6v/I5+Qjw\nF5X630M6DgXwX00Vmk68+CawZ+6S+3TuSlsoaWZl1upnpZnt2hu9Pa5U73Nb+9lbEyAibgHOAn4C\nLMifpbVWqJY2oBxKvRQRjwHTSDsCSP8YH6oz6/PAuJqd5qbAvMp49Z/wWVIXzXqVx9oRsUcu98mI\nODAiNgBOBS6TNLKJKs/L5VZ1V49u1Vn/3qqW9RapKxIASRt2M/83SKG8Q0SsQ2oliaU77O7W4WXS\nN+XxlWmbsOyXgsYVjrgxInYlnawwm9RirOf5OmU0bKV04wrgb4GnImKZOkraFDiH1G21fm7lPMyy\nx5y+Cqyayz62F+WuQmoV/ikibo909uJaEbFVZZ7qdu7Tdq1R+/69lf+uXplW+/noVYhFxI8jYntS\nt+hE4F96VUMbFA6lHkj6sKT/XTmoPo7UBdfV7XYu8E1J2yn5kKRNgN8BbwPHSlpFUgewB3BJ10vX\nFHUPsFDSsZJGSlpJ0keUT72W9EVJG+R5Xyf9Qy5uYhWuBSZKOkDSypL2AzYndSUuWc0+rH8z1GD4\nQWBLSdtIWg2YWme5rvnXJH3zfV3S+sCJNfMuIB3PW07uyrkU+K6kNfOO/RjSMYfuKy69X9LektYg\n7YDfIh1/qWc68G2l07hHASeQWjq9kltnnyF1Dddag/TevwyMkHQ4lS8I+aSKk0jHEA8hff62abBu\nn5c0UdKI/Nk6A7g2Ipo6s7Iv27WOZd6/iHiJ9MXp4Py/cAQN3t/qKjV8Qtpe0o5KJ9m8TWqxN3of\nrYUcSj1bCOwI3K10ltxdpAPC34DUvw98F/gF6USGK0gnAywC9gQ+RzrYfBZwcEQ8nl93mWtwch/9\nHqQ+8KfzMueQTg6AdKD2YUkLSccL9u9m51F93Vfy636DtCP7JrBHnr7c/L1d/9r1aPBatc9Hrtvj\npJMDbiIdR7m90byk7sKReR3uJB2bqs77Q+ALSmfP1eta/BopUJ7O5VzM0uMn9a6H6hofQdrRzgP+\nSDp54Mt1Xh/gZNLB9Ify4948rfY1G6m+b/fl44rLPJePZ51Oeh/mkwLpt7Dk2NlFwCkRMTMingSO\nBy7KO+NaY4HrSZ/b+0gnPBxaZ75qHWrXoTfbtbv1r/f+HUVqzbxMat3c0UNdunsf1yb9P71COrHn\nZeD73dTHWkTpuG6DJ9O34p+RjmsEcE5E/EjSVNK3uJfyrMdHxHV5meOAI0jfQr4eETcOXPXNzGw4\n6SmUNiSdNvmApDVJpyzvQzoNdWFEnFEz/yRSi+FjpG9hN5FOgW6mm8nMzNpct913ETE/Ih7Iw2+S\nrpnoOrOmXv/t3qTrAhZFur3Lk+RTVc3MzHrS9DElpRtbTiYdwAf4mqQHJZ0nad08bQzLnnkzlxU/\nPdTMzNpMU6GUu+4uA47OLaafku44sC3ptiTL3fKmovR7kpmZWSFW7mmGfNbO5cDPI+IqSPfMqjx/\nLnBNHp0HjKssvjHLXg/TtYyDysxsBUREb+98MaR021LKF36eB8yKiDMr0zeqzPZ50q1kAK4G9le6\nCeUEYDPS9TfLqb3fUbs+TjzxxJbXoZSHt4W3hbdF94920FNL6ZPAF4GHJN2fpx0PHCBpW1LX3DPA\nP0K6hkLSpcAs4F3gK9EuW9LMzPqs21CKiN9SvzV1XTfLfI90s0wzM7Ne8R0dWqyjo6PVVSiGt8VS\n3hZLeVu0l24vnh2wQiX36pmZ9ZIkop1PdDAzMxtMDiUzMyuGQ8nMzIrhUDIzs2I4lMzMrBgOJTMz\nK4ZDyczMiuFQMjOzYjiUzMysGA4lMzMrhkPJzMyK4VAyM7NiOJTMzKwYDiUzMyuGQ8nMzIrhUDIz\ns2I4lMzMrBgOJTMzK4ZDyczMiuFQMjOzYjiUzMysGA4lMzMrhkPJzMyK4VAyM7NiOJTMzKwYDiUz\nMyuGQ8nMzIrhUDIzs2I4lMzMrBgrt7oCZq0iqdVVACAiWl0Fs2I4lKzNtToQyghGs1K4+87MbAiR\ndFFleGVJL0m6ZpDK/ntJiyVtV5l2qqSZ+bFvX8twS8nMbGjZUtJqEfEO8FlgLoPQ5Je0FnA08LvK\ntN2BycA2wGpAp6TrImLhipbjlpKZ2dByLbB7Hj4AmE7uB5a0hqTzJd0t6T5Je+Xp4yXdJun3+fHx\nPL1DUqek/5L0qKSfd1PuScApwJ8q07YAbouIxRHxNvAQsFtfVq7bUJI0TtKtkh6R9LCkr+fp60ua\nIelxSTdKWreyzHGSnpA0W9KufamcmZkt55fA/pLeB2wF3F157lvAzRGxI/BXwPclrQ4sAD4bER8F\n9gd+VFlmW1ILaBLwAUmfBJD0b5L2zMPbAWMj4tqaujwI7CZppKRRwGeAjfuycj113y0CjomIBySt\nCfxe0gzgcGBGRJwm6V+BKcAUSZOA/fLKjQVukjQxIhb3pZJmZpZExExJ40mtpP9X8/SuwJ6SvpnH\n3weMA+YDZ0naBngP2KyyzD0R8TyApAeA8cAdEXFinjYCOAM4tLKMcl1mSPoYcCfwEnAX0Kf9fbct\npYiYHxEP5OE3gUdJYbMXMC3PNg3YJw/vDUyPiEURMQd4EtihLxU0M7PlXA38B5Wuu4q/i4jJ+TE+\nIh4DjgFeiIitge1JYdWl2h33Hss3VtYCtiQdL3oG2Am4uutkh4j4Xi5r11yXx/qyYk0fU8rJPJnU\nVBwdEQvyUwuA0Xl4DOmgW5e5pBAzM7P+cz4wNSIeqZl+A/D1rhFJk/Pg2qTWEsAhwErNFhQRr0fE\nBhExISImkE502DMi7pM0QtJf5LK2BrYGblyhNcqaOvsud91dDhwdEQurFx1GREjq7syPus9NnTp1\nyXBHRwcdHR3NVMXMrG10dnbS2dm53PSImAec1TXK0v3sScCZkh4iNTqeJvVsnQ1cLukQ4HrgzerL\n1b48pGNKwL0R0d3p5qsCt+VMeB04qK+Ha9TT1eSSVgF+DVwXEWfmabOBjoiYL2kj4NaI2FzSFICI\nOCXPdz1wYkTcXfOa4avYrdXSP1KrP4fyHR2saZKIiGF9xXVPZ98JOA+Y1RVI2dUsPeh1KHBVZfr+\nklaVNIF0MO2e/q2ymZkNV922lCR9CriNdO5514zHkYLmUmATYA6wb0S8lpc5HjgCeJfU3XdDndd1\nS8lazi0lG2raoaXUY/fdgBTqULICOJRsqGmHUPIdHczMrBgOJTMzK4ZDyczMiuFQMjOzYjiUzMys\nGA4lMzMrhkPJzGwIkfSt/FNCD0q6P9+lG0n/LGlkg2U6888JPZh/N+nHktYZgLpdL+nV2l/Czb/l\ndH9+zJN0ZaPXcCiZmQ0tuwOTI2IbYBeW3gT7aGD1BssEcGBeZmvSncF/NQB1Ow04eLnCI/6y687l\npJ+3uLzRCziUrGUktfRhNkS9HBGLACLilYh4If8A6xjgVkk3N1iu6zeQFgHHApvkO3sj6YtKv1Z7\nv6T/k+/+/SVJpy1ZWDpM0o+7q1hE3MKyN3tdtgLS2qQfH7yq0TwOJWuxaOHDbEgaJ+kxST+R9JcA\nEfEj4HnSjbJ3abDckg99vpP3g8DmkrYA9gU+kVsyi4GDgMuAz1eW3xeYLmnPfAfxFbEPcFP+fb66\nmvrpCjMzK8ZHgU+Tfnr8l5KmRMS0Hpapp6u7YJf8mvfmHoSRwPyIeFnS05J2JP1g6+YRcWdepruf\ns+jOAcA53c3gUDIzG0JyK+c3wG8kzST9UkOvQknSSsBWwCzg/cC0iDi+zqyXkFpIs4Ermq1igzJH\nAR8j/UJ5Q+6+MzMbQiRtVhmdTPqlBoCFpF+YbbhoXn4V4N+BZyPiYeAW4AuSNsjPry9pk7zMlaQu\ntwNIAdVUFRtM/wJwTUT8ubuFHUpmZkPLhZIekfQgsDkwNU8/B7i+mxMdLs7LzCR10e0NEBGzgG8D\nN+bnbwQ2zM+9RmpNbRIR9wJ0d0xJ0u2knzXaRdJzkj5beXo/YHpPK+efrrCWaf1PR7S6/FQH/y9Y\ns/zTFWZmZoPIoWRmZsVwKJmZWTEcSmZmVgyHkpmZFcMXz7Yp3/vNzErkUGprrT4V2cFoZsty952Z\nmRXDoWRmZsVwKJmZWTEcSmZmVgyHkpmZFcOhZGZmxXAomZlZMRxKZmZWDF88a9Zirb67hn/PyUri\nUDJruVb/0KFZOdx9Z2ZmxXAomZlZMRxKZmZWjB5DSdL5khZImlmZNlXSXEn358fnKs8dJ+kJSbMl\n7TpQFTczs+GnmZbSBcBuNdMCOCMiJufHdQCSJgH7AZPyMmdLcmvMzMya0mNgRMTtwKt1nqp32s7e\nwPSIWBQRc4AngR36VEMzM2sbfWnFfE3Sg5LOk7RunjYGmFuZZy4wtg9lmJlZG1nRUPopMAHYFngB\nOL2beX1lnpmZNWWFLp6NiBe7hiWdC1yTR+cB4yqzbpynLWfq1KlLhjs6Oujo6FiRqpiZDVudnZ10\ndna2uhqDSs3cYkTSeOCaiNgqj28UES/k4WOAj0XEgflEh1+QjiONBW4CPhQ1hUiqnWSDLN3aptXv\nQavr0OryS6iDfJuhIUQSETGsb8PRY0tJ0nRgZ2CUpOeAE4EOSduS/pueAf4RICJmSboUmAW8C3zF\n6WNmZs1qqqXU74W6pdRybimVUH4JdXBLaShph5aSryEyM7NiOJTMzKwYDiUzMyuGQ8nMzIrhUDIz\ns2I4lMzMrBgOJTMzK4ZDyczMiuFQMjOzYjiUzMysGA4lMzMrhkPJzMyK4VAyM7NiOJTMzKwYDiUz\nMyuGQ8nMzIrhUDIzs2I4lMzMrBgOJTMzK4ZDyczMiuFQMjOzYjiUzMysGA4lMzMrhkPJzMyK4VAy\nM7NiOJTMzKwYDiUzMyuGQ8nMzIrhUDIzs2I4lMzMrBgOJTMzK4ZDyczMiuFQMjOzYjiUzMysGA4l\nMzMrhkPJzMyK0WMoSTpf0gJJMyvT1pc0Q9Ljkm6UtG7lueMkPSFptqRdB6riZmY2/DTTUroA2K1m\n2hRgRkRMBG7O40iaBOwHTMrLnC3JrTEzM2tKj4EREbcDr9ZM3guYloenAfvk4b2B6RGxKCLmAE8C\nO/RPVc3MbLhb0VbM6IhYkIcXAKPz8BhgbmW+ucDYFSzDzMzaTJ+71iIigOhulr6WYWZm7WHlFVxu\ngaQNI2K+pI2AF/P0ecC4ynwb52nLmTp16pLhjo4OOjo6VrAqQ5OkVlfBzArX2dlJZ2dnq6sxqJQa\nOj3MJI0HromIrfL4acAfI+JUSVOAdSNiSj7R4Rek40hjgZuAD0VNIZJqJ7WdFEqt3AatLr+EOrS6\n/BLqINr9f3EokUREDOtvtD22lCRNB3YGRkl6DjgBOAW4VNKRwBxgX4CImCXpUmAW8C7wlbZPHzMz\na1pTLaV+L9QtJbeUiqhDq8svoQ5uKQ0l7dBS8jVEZmZWDIeSmZkVw6FkZmbFWNFTws1smCjh8gQf\n17IuDiWzttfqQGh9KFo53H1nZmbFcCiZmVkxHEpmZlYMh5KZmRXDoWRmZsVwKJmZWTEcSmZmVgyH\nkpmZFcOhZGZmxXAomZlZMRxKZmZWDIeSmZkVw6FkZmbFcCiZmVkxHEpmZlYMh5KZmRXDoWRmZsVw\nKJmZWTEcSmZmVgyHkpmZFcOhZGZmxXAomZlZMRxKZmZWDIeSmZkVw6FkZmbFcCiZmVkxHEpmZlYM\nh5KZmRXDoWRmZsVwKJmZWTEcSmZmVoyV+7KwpDnAG8B7wKKI2EHS+sAvgU2BOcC+EfFaH+tpZmZt\noK8tpQA6ImJyROyQp00BZkTERODmPG5mZtaj/ui+U834XsC0PDwN2KcfyjAzszbQHy2lmyTdK+mo\nPG10RCzIwwuA0X0sw8zM2kSfjikBn4yIFyRtAMyQNLv6ZESEpKi34NSpU5cMd3R00NHR0ceqmJkN\nL52dnXR2dra6GoNKEXUzo/cvJJ0IvAkcRTrONF/SRsCtEbF5zbzRX+UOVZJIDc2W1aDF5ZdQh1aX\nX0IdWl1+qkO77w+aJYmIqD1kMqyscPedpNUlrZWH1wB2BWYCVwOH5tkOBa7qayXNzKw99KX7bjRw\nZfrGz8rAxRFxo6R7gUslHUk+JbzPtTQzs7bQb913vSrU3XfuviuiDq0uv4Q6tLr8VId23x80y913\nZmZmg8ihZGZmxXAomZlZMRxKZmZWDIeSmZkVw6FkZmbF6OtthszM+ixf79gyPiW9HA4lMytAq6/V\nslK4+87MzIrhUDIzs2I4lMzMrBgOJTMzK4ZDyczMitGWZ9+1+vRTMzOrry1DKWn1dQkORjOzWu6+\nMzOzYjiUzMysGA4lMzMrhkPJzMyK4VAyM7NiOJTMzKwYDiUzMyuGQ8nMzIrhUDIzs2I4lMzMrBgO\nJTMzK4ZDyczMiuFQMjOzYjiUzMysGA4lMzMrhkPJzMyK4VAyM7NitPEvz5qZJVLrfwk6otW/hl0G\nh5KZGa0OhNaHYincfWdmZsUYkFCStJuk2ZKekPSvA1GGmZkNP/0eSpJWAs4CdgMmAQdI2qK/yxk+\nOltdgYJ0troCBelsdQUK0tnqCtggGohjSjsAT0bEHABJlwB7A49WZzr55JMHoOihqBPoaHEdStGJ\nt0WXTrwtunTibdE+BiKUxgLPVcbnAjvWznTCCe8MQNHNeKFF5ZqZWU8GIpSaOo1lrbUeHICie/be\ne6/x1lstKdrMzHqg/j43XtJOwNSI2C2PHwcsjohTK/O0+vxLM7MhKSKG9fnjAxFKKwOPAbsAzwP3\nAAdExKPdLmhmZm2v37vvIuJdSf8E3ACsBJznQDIzs2b0e0vJzMxsRQ3qHR3a+aJaSeMk3SrpEUkP\nS/p6nr6+pBmSHpd0o6R1W13XwSJpJUn3S7omj7fltpC0rqTLJD0qaZakHdt4WxyX/0dmSvqFpPe1\ny7aQdL6kBZJmVqY1XPe8rZ7I+9RdW1Pr/jdooeSLalkEHBMRWwI7AV/N6z8FmBERE4Gb83i7OBqY\nxdIzNtt1W/wQuDYitgC2BmbThttC0njgKGC7iNiK1P2/P+2zLS4g7R+r6q67pEnAfqR96W7A2ZKG\nxW3jBnMlllxUGxGLgK6LattCRMyPiAfy8Juki4nHAnsB0/Js04B9WlPDwSVpY+BvgXNZejfKttsW\nktYBPh0R50M6JhsRr9OG2wJ4g/TlbfV8wtTqpJOl2mJbRMTtwKs1kxut+97A9IhYlG9U8CRpHzvk\nDWYo1buoduwgll+M/I1wMnA3MDoiFuSnFgCjW1StwfYD4F+AxZVp7bgtJgAvSbpA0n2S/lPSGrTh\ntoiIV4DTgWdJYfRaRMygDbdFRaN1H0Pah3YZNvvTwQwln1EBSFoTuBw4OiIWVp+LdNbJsN9OkvYA\nXoyI+2lwz/522RakM2C3A86OiO2At6jpnmqXbSHpg8A/A+NJO901JX2xOk+7bIt6mlj3YbFdBjOU\n5gHjKuPjWDbphz1Jq5AC6aKIuCpPXiBpw/z8RsCLrarfIPoEsJekZ4DpwF9Juoj23BZzgbkR8d95\n/DJSSM1vw22xPXBnRPwxIt4FrgA+Tntuiy6N/idq96cb52lD3mCG0r3AZpLGS1qVdJDu6kEsv6WU\nftryPGBWRJxZeepq4NA8fChwVe2yw01EHB8R4yJiAulA9i0RcTDtuS3mA89Jmpgn/TXwCHANbbYt\nSCd47CRpZP5/+WvSiTDtuC26NPqfuBrYX9KqkiYAm5FuVDDkDep1SpI+B5zJ0otq/33QCm8xSZ8C\nbgMeYmkz+zjSB+lSYBNgDrBvRLzWijq2gqSdgW9ExF6S1qcNt4WkbUgnfKwKPAUcTvofacdtcSxp\n57sYuA/4B2At2mBbSJoO7AyMIh0/OgH4FQ3WXdLxwBHAu6TDATe0oNr9zhfPmplZMYbFee1mZjY8\nOJTMzKwYDiUzMyuGQ8nMzIrhUDIzs2I4lMzMrBgOJTMzK4ZDyczMivH/Adb7mq+6h+BTAAAAAElF\nTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 118 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Player_4_rolls(Player):\n", + " \n", + " def turn(self):\n", + " turn_results = []\n", + " counter = 1\n", + " while counter <=4:\n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " turn_results.append(roll)\n", + " counter += 1\n", + " return turn_results" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 119 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player4 = Player_4_rolls()\n", + "simulation = Simulation(player4)\n", + "scores_4_rolls = run_simulation(1000)\n", + "print_histogram(scores_4_rolls,1000,\"Scores for Simulations of Max 4-roll turns\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAEKCAYAAADzQPVvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text": [ + "" + ] + } + ], + "prompt_number": 120 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Player_5_rolls(Player):\n", + " \n", + " def turn(self):\n", + " turn_results = []\n", + " counter = 1\n", + " while counter <=5:\n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " turn_results.append(roll)\n", + " counter += 1\n", + " return turn_results" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 121 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player5 = Player_5_rolls()\n", + "simulation = Simulation(player5)\n", + "scores_5_rolls = run_simulation(1000)\n", + "print_histogram(scores_5_rolls,1000,\"Scores for Simulations of Max 5-roll turns\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAEKCAYAAADzQPVvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nHPZmZglw2JuZJeD/A765hrQ2M1wfAAAAAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 122 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Player_6_rolls(Player):\n", + " \n", + " def turn(self):\n", + " turn_results = []\n", + " counter = 1\n", + " while counter <=6:\n", + " roll = self.roll_dice()\n", + " if roll == 1:\n", + " return []\n", + " else:\n", + " turn_results.append(roll)\n", + " counter += 1\n", + " return turn_results" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 123 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "player6 = Player_6_rolls()\n", + "simulation = Simulation(player6)\n", + "scores_6_rolls = run_simulation(1000)\n", + "print_histogram(scores_6_rolls,1000,\"Scores for Simulations of Max 6-roll turns\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAEKCAYAAADzQPVvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFPYiIimgsBcRSQGFvYhICvwffvYI39CaoZUAAAAASUVORK5CYII=\n", + "text": [ + "" + ] + } + ], + "prompt_number": 124 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "results_to_plot = [scores_n_rolls, scores_1_roll, scores_2_rolls, scores_3_rolls,\n", + " scores_4_rolls, scores_5_rolls, scores_6_rolls]\n", + "plt.boxplot(results_to_plot)\n", + "plt.xticks(range(1, 7), [\"random rolls\", \"1 roll\", \"2 rolls\",\"3 rolls\", \"4 rolls\", \"5 rolls\", \"6 rolls\"])\n", + "plt.show()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEACAYAAACuzv3DAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nWeKcyM3MEudEbmaWOCdyM7PE/T9T2D0om7w2CwAAAABJRU5ErkJggg==\n", + "text": [ + "" + ] + } + ], + "prompt_number": 135 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Although I am not running statistical tests to determine if the difference in these groups is truly statistically significant, visually I can conclude that the worst strategy is to roll a dice only one time. Rolling 2, 3, 4,5 or 6 rolls are very likely statistically the same to each other. I could determine this running an anova analysis (which I still don't know how to do in python). I would probably have as a strategy to roll twice on each turn." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file From fbe7abf936e48d42880294e1b90828b8df503640 Mon Sep 17 00:00:00 2001 From: Ana Maria Echeverri Date: Wed, 28 Jan 2015 20:13:56 -0500 Subject: [PATCH 2/2] requirements --- requirements.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 requirements.txt diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..ff71c4e --- /dev/null +++ b/requirements.txt @@ -0,0 +1 @@ +matplotlib.pyplot