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@dotsonjb14
Last active August 29, 2015 13:57
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{
"metadata": {
"name": "DnD"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": "OK, here you go fucker. This is how I roll. With blackjack and hookers."
},
{
"cell_type": "code",
"collapsed": false,
"input": "%matplotlib inline\nimport math\nimport random\nimport numpy as np\nimport pylab\nfrom pandas import *",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": "The above are just my imports for libraries used. Below is my roll function. It takes 3 Parameters, the numbers of sides, the number of times\nto roll, and the number of dice to drop"
},
{
"cell_type": "code",
"collapsed": false,
"input": "def roll(sides, num=1, toDrop=0):\n arr = np.random.randint(1, sides+1, num)\n for _ in range(toDrop):\n sm = arr[0]\n smPos = 0\n for s in range(len(arr)):\n if(arr[s] < sm):\n sm = arr[s]\n smPos = s\n arr = np.delete(arr, smPos)\n return sum(arr)\n",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": "def getS(length, func):\n \"\"\"\n This is a helper function to make a series by running the same function over and over the required times.\n \"\"\"\n arr = []\n for a in range(length):\n arr.append(func())\n return Series(arr)",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": "sides = 6\ntimes = 4\ntakeout = 1\n\"\"\"\nThis will get a series of rolls using the specified parameters and the side of the series.\n\"\"\"\ns = getS(2000, lambda: roll(sides, times, takeout))\n\"\"\"\nThe important bits here are mean and std (Standard Deviation)\n\"\"\"\ns.describe()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": "count 2000.000000\nmean 12.293000\nstd 2.863433\nmin 3.000000\n25% 10.000000\n50% 13.000000\n75% 14.000000\nmax 18.000000\ndtype: float64"
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": "s.plot()\npylab.ylim([(times - takeout),sides * (times - takeout)])",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": "(3, 18)"
},
{
"metadata": {},
"output_type": "display_data",
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gtUhKSbMF76bTMmvBe1Fck0NuJ2e5LZUPXiGDovLBV1dXo6SkBJWVlU3npk2b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\nIqMoBa9QKBQZ5f8DwPqRapyFt7kAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x8115be0>"
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": "sides = 6\ntimes = 3\ntakeout = 0\ns = getS(2000, lambda: roll(sides, times, takeout))\ns.describe()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": "count 2000.000000\nmean 10.451000\nstd 2.929657\nmin 3.000000\n25% 8.000000\n50% 10.000000\n75% 13.000000\nmax 18.000000\ndtype: float64"
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": "s.plot()\npylab.ylim([(times - takeout),sides * (times - takeout)])",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": "(3, 18)"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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XXrPW/WYU9VuC+ol99kfRizk7Ik9ea2ptml6/Pl7dDzzA7pe88gB0Zkszf3Gx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\nFCjawGs0Gk2Bog28RqPRFCj/H3yq79rAhR1GAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x77d1160>"
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": "",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 18
}
],
"metadata": {}
}
]
}
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