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AgeOfMarcus/dice-roll-plot.ipynb

Created August 19, 2020 13:59
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dice-roll-plot.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "dice-roll-plot.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyN6xiVh0+bPFI9VKqA6RLb3",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/AgeOfMarcus/673de39bbfd96ec070c0d9342f16b198/dice-roll-plot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "AKw_zs6MogjW",
"colab_type": "text"
},
"source": [
"# Dice roll plotter\n",
"\n",
"This program will roll a number of dice `x` amount of times and plot the results, as well as displaying other information."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "1i7ElRc0q_h8",
"colab_type": "text"
},
"source": [
"## Installation"
]
},
{
"cell_type": "code",
"metadata": {
"id": "2NL6zdZIrBHT",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "946bd696-ded5-4b98-ca4e-526d6eeef86b"
},
"source": [
"!pip install nbinteract"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting nbinteract\n",
" Downloading https://files.pythonhosted.org/packages/92/92/0047f909ccae3ca35c45007b4015d89ed17b226bb1a0ef38d5c5f0aee9bf/nbinteract-0.2.5-py3-none-any.whl\n",
"Collecting IPython<8,>=6\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/23/6a/210816c943c9aeeb29e4e18a298f14bf0e118fe222a23e13bfcc2d41b0a4/ipython-7.16.1-py3-none-any.whl (785kB)\n",
"\u001b[K |████████████████████████████████| 788kB 9.9MB/s \n",
"\u001b[?25hCollecting nbformat<5,>=4.4.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/da/27/9a654d2b6cc1eaa517d1c5a4405166c7f6d72f04f6e7eea41855fe808a46/nbformat-4.4.0-py2.py3-none-any.whl (155kB)\n",
"\u001b[K |████████████████████████████████| 163kB 39.7MB/s \n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/ba/bd/d897493e196f14e2939b132c1d2adf966a327df2ae6716a1b665075f338b/bqplot-0.11.0-py2.py3-none-any.whl (1.5MB)\n",
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"Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/72/65/a3ef98b56d57a6d0a04cea5810ecbf3700a225d296ca298b3442dddebb42/prompt_toolkit-3.0.6-py3-none-any.whl (354kB)\n",
"\u001b[K |████████████████████████████████| 358kB 43.8MB/s \n",
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"Requirement already satisfied: entrypoints>=0.2.2 in /usr/local/lib/python3.6/dist-packages (from nbconvert<6,>=5.3->nbinteract) (0.3)\n",
"Collecting traittypes>=0.0.6\n",
" Downloading https://files.pythonhosted.org/packages/9c/d1/8d5bd662703cc1764d986f6908a608777305946fa634d34c470cd4a1e729/traittypes-0.2.1-py2.py3-none-any.whl\n",
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"Requirement already satisfied: Send2Trash in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.5.0->nbinteract) (1.5.0)\n",
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"\u001b[31mERROR: jupyter-console 5.2.0 has requirement prompt-toolkit<2.0.0,>=1.0.0, but you'll have prompt-toolkit 3.0.6 which is incompatible.\u001b[0m\n",
"\u001b[31mERROR: google-colab 1.0.0 has requirement ipython~=5.5.0, but you'll have ipython 7.16.1 which is incompatible.\u001b[0m\n",
"Installing collected packages: prompt-toolkit, IPython, nbformat, traittypes, bqplot, nbinteract\n",
" Found existing installation: prompt-toolkit 1.0.18\n",
" Uninstalling prompt-toolkit-1.0.18:\n",
" Successfully uninstalled prompt-toolkit-1.0.18\n",
" Found existing installation: ipython 5.5.0\n",
" Uninstalling ipython-5.5.0:\n",
" Successfully uninstalled ipython-5.5.0\n",
" Found existing installation: nbformat 5.0.7\n",
" Uninstalling nbformat-5.0.7:\n",
" Successfully uninstalled nbformat-5.0.7\n",
"Successfully installed IPython-7.16.1 bqplot-0.11.0 nbformat-4.4.0 nbinteract-0.2.5 prompt-toolkit-3.0.6 traittypes-0.2.1\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"application/vnd.colab-display-data+json": {
"pip_warning": {
"packages": [
"IPython",
"prompt_toolkit"
]
}
}
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "w9QagbjjrDN3",
"colab_type": "text"
},
"source": [
"## Generating data"
]
},
{
"cell_type": "code",
"metadata": {
"id": "pN8IW8pEotBN",
"colab_type": "code",
"colab": {}
},
"source": [
"%matplotlib inline\n",
"from ipywidgets import interactive\n",
"import nbinteract as nbi\n",
"import numpy as np"
],
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "JGH0H0yho-eg",
"colab_type": "code",
"colab": {}
},
"source": [
"rolls = np.random.choice([1, 2, 3, 4, 5, 6], size=10000)\n",
"averages = np.cumsum(rolls) / np.arange(1, 10001)\n",
"\n",
"def x_vals(num_rolls):\n",
" return range(num_rolls)\n",
"\n",
"# The function to generate y-values gets called with the\n",
"# x-values as its first argument.\n",
"def y_vals(xs):\n",
" return averages[:len(xs)]"
],
"execution_count": 2,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "H4bNj96sqSig",
"colab_type": "text"
},
"source": [
"# Display Graph"
]
},
{
"cell_type": "code",
"metadata": {
"id": "l7g8tN6qqUgz",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 164
},
"outputId": "fdab856f-1a79-4480-a23b-4fe981f8f621"
},
"source": [
"line = nbi.line(x_vals, y_vals, num_rolls=(1, 10000))"
],
"execution_count": 1,
"outputs": [
{
"output_type": "error",
"ename": "NameError",
"evalue": "ignored",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-1-cba5e8cc613b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnbi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_vals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_vals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_rolls\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'nbi' is not defined"
]
}
]
}
]
}
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