Created
March 24, 2020 17:15
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Roulette Simulation
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Roulette Simulation" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 32, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Definition of simulation function" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 64, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "def roulette_simul(number,bet, n_simulations):\n", | |
| " for i in range(3):\n", | |
| " return_count = 0\n", | |
| " count = 0\n", | |
| " for i in range(n_simulations):\n", | |
| " s = np.random.randint(1,37)\n", | |
| " if s == number:\n", | |
| " count = count + 1\n", | |
| "\n", | |
| " return_count = -1*n_simulations + count*36 \n", | |
| " expected_return = return_count/n_simulations\n", | |
| " print(\"The expected return of betting at number {}, {} times is : {}% \".format(number,n_simulations,np.round(expected_return*100,2)))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Simulation" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 68, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "The expected return of betting at number 7, 2 times is : -100.0% \n", | |
| "The expected return of betting at number 7, 2 times is : -100.0% \n", | |
| "The expected return of betting at number 7, 2 times is : -100.0% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 5 times is : -100.0% \n", | |
| "The expected return of betting at number 7, 5 times is : -100.0% \n", | |
| "The expected return of betting at number 7, 5 times is : -100.0% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 10 times is : -100.0% \n", | |
| "The expected return of betting at number 7, 10 times is : -100.0% \n", | |
| "The expected return of betting at number 7, 10 times is : 260.0% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 20 times is : 80.0% \n", | |
| "The expected return of betting at number 7, 20 times is : 80.0% \n", | |
| "The expected return of betting at number 7, 20 times is : -100.0% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 100 times is : -28.0% \n", | |
| "The expected return of betting at number 7, 100 times is : 8.0% \n", | |
| "The expected return of betting at number 7, 100 times is : 8.0% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 1000 times is : 8.0% \n", | |
| "The expected return of betting at number 7, 1000 times is : 15.2% \n", | |
| "The expected return of betting at number 7, 1000 times is : -31.6% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 10000 times is : 1.52% \n", | |
| "The expected return of betting at number 7, 10000 times is : 2.6% \n", | |
| "The expected return of betting at number 7, 10000 times is : 0.8% \n", | |
| "\n", | |
| "\n", | |
| "The expected return of betting at number 7, 1000000 times is : -0.28% \n", | |
| "The expected return of betting at number 7, 1000000 times is : 0.22% \n", | |
| "The expected return of betting at number 7, 1000000 times is : -0.75% \n", | |
| "\n", | |
| "\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "simulation_list = [2,5,10,20,100,1000,10000,1000000]\n", | |
| "for n_simuls in simulation_list:\n", | |
| " roulette_simul(7,1,n_simuls)\n", | |
| " print(\"\\n\")" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.7.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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