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{
"metadata": {
"name": "",
"signature": "sha256:cab9adad1e3402b180a89dfa8312f862fea33929629e4f5ca71d25a473a9843d"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"#!/usr/bin/env python\n",
"# -*- coding: utf-8 -*-\n",
"\n",
"import numpy as np\n",
"import scipy as sp\n",
"import matplotlib.pyplot as plt\n",
"\n",
"def main():\n",
" player_strength = np.array([57,58,59,60,62,63,64,65,66,67,68,69,70,71,72,76,77,79,86,89,90])\n",
" team_strength = np.array([63,65,68,71,78,81,85,88,92,96,99,103,107,112,116,133,138,148,184,201,207])\n",
"\n",
" fit, _residuals, _rank, _sv, _rcond = sp.polyfit(player_strength, team_strength, 2, full=True)\n",
"\n",
" a_dash, b_dash, c_dash = fit\n",
" print('a: {0}'.format(a_dash))\n",
" print('b: {0}'.format(b_dash))\n",
" print('c: {0}'.format(c_dash))\n",
" \n",
" fit_round = [round(a_dash, 3),round(b_dash, 3),round(c_dash, 3)]\n",
" print fit_round\n",
" \n",
" f_dash = sp.poly1d(fit_round)\n",
" plt.plot(player_strength, f_dash(player_strength), linewidth=4)\n",
"\n",
" plt.plot(player_strength, team_strength, \"ro\")\n",
" plt.title(\"player_strength to team_strength\",fontsize=15)\n",
" plt.xlabel(\"player_strength\",fontsize=15)\n",
" plt.ylabel(\"team_strength\",fontsize=15)\n",
" plt.legend(('TeamStrength = 0.046PlayerStrength^2 - 2.378PlayerStrength + 48.488$',),loc='upper center')\n",
" plt.xlim([50, 99])\n",
" plt.ylim([50, 250])\n",
" plt.grid()\n",
" plt.show()\n",
"\n",
"if __name__ == '__main__':\n",
" main()\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"a: 0.0459795180822\n",
"b: -2.37753732297\n",
"c: 48.4880996523\n",
"[0.046, -2.378, 48.488]\n"
]
},
{
"metadata": {},
"output_type": "display_data",
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nfsLqs+jEQx1b/YZjhsowDMPwNfkZqjI9M4VhGIYR/5ihMgzDMHyNGSrDMAzD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\nWlSqenMeWa3zKN8X6FtyEhmxZP9+GDI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"text": [
"<matplotlib.figure.Figure at 0x99d35b0>"
]
}
],
"prompt_number": 79
}
],
"metadata": {}
}
]
}
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