{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Chapter 4\n", "### This notebook and the figures below are made by Yeseul Lee, under the guidance of Steven Skiena." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from scipy import stats\n", "from scipy.stats import norm\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import math\n", "import pandas as pd\n", "import xport\n", "from __future__ import division\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.1, 4.2, and 4.3\n", "#### The credit goes to here: \n", "These figures are versions of the reference. I just modified some parts. \n", "#### References: \n", "https://nbviewer.jupyter.org/gist/anonymous/17ead8a4f163bdee5d9e General American Population.\n", "\n", "https://nbviewer.jupyter.org/gist/anonymous/312a4d546210b400bf4d- Football Players\n", "\n", "https://nbviewer.jupyter.org/gist/anonymous/11293af6d82e70caeede- Basket Ball Players" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### For Figure 4.1 - BMI of general American population" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "with xport.XportReader(\"/home/yeseul/notebook/BMX_H.XPT\") as reader:\n", " Z = [row for row in reader]\n", "Ix = [z.pop(\"SEQN\") for z in Z]\n", "A = pd.DataFrame(Z, index=Ix,columns=['BMXBMI','BMXHT','BMXWT'])\n", "\n", "A['ht_m']=(A['BMXHT'])*0.01\n", "\n", "normal=A[(A['BMXBMI']>=18.5) & (A['BMXBMI']<=24.9)]\n", "normal=pd.DataFrame(normal)\n", "\n", "overweight=A[(A['BMXBMI']>=25) & (A['BMXBMI']<=29.9)]\n", "overweight=pd.DataFrame(overweight)\n", "\n", "obese=A[(A['BMXBMI']>=30)]\n", "obese=pd.DataFrame(obese)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.1 - BMI of general American population" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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LLrmEaDTKJz7xCRobG/nnf/7n/T2szOiPBB3IBfcGN/hJpUaks+VVVvo2wsTj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\nFRHh7LPPZtGiRYwePZo1a9b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gDTkoKgoPaUhGS4t58KabXrXZV6yHZZgWB+kVdPu1JdOK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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "opacity = 1\n", "dotsize = 8\n", "\n", "ax=normal.plot(kind='scatter', x='BMXWT', y='ht_m',c='r',s=dotsize, figsize=(7,4),alpha=opacity, linewidth='0.0') \n", "overweight.plot(kind='scatter',x='BMXWT',y='ht_m',ax=ax,c='g',s=dotsize, alpha=opacity, linewidth='0.0')\n", "obese.plot(kind='scatter',x='BMXWT',y='ht_m',ax=ax,c='b',s=dotsize, alpha=opacity, linewidth='0.0')\n", "ax.set_xlabel('WEIGHT (Kgs)')\n", "ax.set_ylabel('HEIGHT (Metres)')\n", "ax.set_title('Distribution of General Americans On The Basis Of BMI')\n", "ax.legend(['normal','overweight','obese'],loc='upper right',fancybox=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### For Figure 4.2 Left and 4.3 Left - Basketball players" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "#For basketball players\n", "path = \"/home/yeseul/notebook/nba_ht_wt.xls\"\n", "csv_data = pd.ExcelFile(path).parse('Sheet1')\n", "BMI_table=df = pd.DataFrame(data = csv_data, columns=['Player','Height','Weight','Pos'])\n", "BMI_table['sq_height']=pd.to_numeric(BMI_table['Height'])\n", "BMI_table['sq_height']=BMI_table['sq_height']**2\n", "BMI_table['BMI']=(BMI_table['Weight']/BMI_table['sq_height'])*703\n", "BMI_table['ht_m']=(BMI_table['Height'])*0.0254\n", "BMI_table['wt_kgs']=(BMI_table['Weight'])*0.45\n", "\n", "normal=BMI_table[(BMI_table['BMI']>=18.5) & (BMI_table['BMI']<=24.9)]\n", "normal=pd.DataFrame(normal)\n", "overweight=BMI_table[(BMI_table['BMI']>=25) & (BMI_table['BMI']<=29.9)]\n", "overweight=pd.DataFrame(overweight)\n", "obese=BMI_table[(BMI_table['BMI']>=30)]\n", "obese=pd.DataFrame(obese)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.2 Left - Basketball players" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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RsZgTNAzDMDIWc4KGYRhGxmJO0DAMw8hYzAkahmEYGYs5QcMwDCNjMSdoGIZhZCzmBA3D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\n/ar6vqoerKqHqeqhOA9Mx6nqVzTW/pae/RNjVtA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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dotsize=20\n", "ax=normal.plot(kind='scatter', x='wt_kgs', y='ht_m',c='r',s=dotsize,figsize=(7,4),alpha=1, linewidth='0.0')\n", "\n", "overweight.plot(kind='scatter',x='wt_kgs',y='ht_m',ax=ax,c='g',s=dotsize,alpha=1, linewidth='0.0')\n", "obese.plot(kind='scatter',x='wt_kgs',y='ht_m',ax=ax,c='b',s=dotsize,alpha=1, linewidth='0.0')\n", "ax.legend(['normal','overweight','obese'],loc='lower right',fancybox=True)\n", "ax.set_xlabel('Weight (kg)')\n", "ax.set_ylabel('Height (m)')\n", "ax.set_title('Distribution of Basketball Players on the Basis of BMI')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### For Figure 4.3 Left - Basketball players by position" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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YHihpkYZS/uQpSLSmIvARcBK2T2FLLWh3aNskUeFWYskn1jHB/PzYxwTz8/2N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\nRVGUBDJoEDz8cNOP79ED1qyBXbusVmB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Glqe16w9ahlShLZQhXlJiYoyI5AEXAv/X0roo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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df=BMI_table\n", "\n", "plt.figure(figsize=(7,4))\n", "\n", "plt.scatter(df['wt_kgs'][df['Pos'] == 'C'],df['ht_m'][df['Pos'] == 'C'],\n", " marker='o',color='b',alpha=1,s = 20,label='Center')\n", "plt.scatter(df['wt_kgs'][df['Pos'] == 'F'],df['ht_m'][df['Pos'] == 'F'],\n", " marker='o',color='r',alpha=1,s = 20,label='Forward')\n", "plt.scatter(df['wt_kgs'][df['Pos'] == 'G'],df['ht_m'][df['Pos'] == 'G'],\n", " marker='o',color='g',alpha=1,s = 20,label='Guard')\n", "\n", "plt.title('Height vs. Weight of Players by Positions in Basketball')\n", "plt.ylabel('Height (m)')\n", "plt.xlabel('Weight (kg)')\n", "plt.legend(loc='lower right')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### For Figure 4.2 Right and 4.3 Right - Football players" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "path = \"/home/yeseul/notebook/nfl_height_weight.csv\"\n", "csv_data = pd.read_csv(path)\n", "BMI_table=df = pd.DataFrame(data = csv_data, columns=['full_name', 'height_in_inches','weight_in_lbs','date_of_birth','position','team'])\n", "BMI_table['sq_height']=pd.to_numeric(BMI_table['height_in_inches'])\n", "BMI_table['sq_height']=BMI_table['sq_height']**2\n", "BMI_table['BMI']=(BMI_table['weight_in_lbs']/BMI_table['sq_height'])*703\n", "BMI_table['ht_m']=BMI_table['height_in_inches']*0.025\n", "BMI_table['wt_kg']=BMI_table['weight_in_lbs']*0.45\n", "\n", "normal=BMI_table[(BMI_table['BMI']>=18.5) & (BMI_table['BMI']<=24.9)]\n", "normal=pd.DataFrame(normal)\n", "overweight=BMI_table[(BMI_table['BMI']>=25) & (BMI_table['BMI']<=29.9)]\n", "overweight=pd.DataFrame(overweight)\n", "obese=BMI_table[(BMI_table['BMI']>=30)]\n", "obese=pd.DataFrame(obese)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.2 Right - Football players" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(64.25, 171.55000000000001)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Qt1g6mlMnUp5YJbfAWcorFtmp5iLWsXGS2mrMcQX3rZMkmhPhviKC62zI+LU0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\nAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Ch.4\n", "dotsize=20\n", "ax=normal.plot(kind='scatter', x='wt_kg', y='ht_m',c='r',s=dotsize,figsize=(7,4),alpha=1, linewidth='0.0')\n", "overweight.plot(kind='scatter',x='wt_kg',y='ht_m',ax=ax,c='g',s=dotsize,alpha=1, linewidth='0.0')\n", "obese.plot(kind='scatter',x='wt_kg',y='ht_m',ax=ax,c='b',s=dotsize,alpha=1, linewidth='0.0')\n", "ax.set_xlabel('Weight (kg)')\n", "ax.set_ylabel('Height (m)')\n", "ax.set_title('Distribution of Football Players on the Basis of BMI')\n", "ax.legend(['normal','overweight','obese'],loc='lower right',fancybox=True)\n", "ax.set_ylim(min(BMI_table['ht_m']) - 0.05, max(BMI_table['ht_m']) + 0.05)\n", "ax.set_xlim(min(BMI_table['wt_kg']) - 10,max(BMI_table['wt_kg']) + 10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.3 Right - Football players by position" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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MORqGYRhGAHOOhmEYhhHAnKNhGIZhBDDnaBiGYRgBzDkahmEYRgBzjoZhGIYRIK3OUUT6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\nYI32BzvmHA3DMBqJLbu28NvXf8vTq59O2xhz5sx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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "liner = BMI_table[(BMI_table['position'] == 'C') | (BMI_table['position'] == 'G') | \\\n", " (BMI_table['position'] == 'OG') | (BMI_table['position'] == 'OT') | \\\n", " (BMI_table['position'] == 'TE') | \\\n", " (BMI_table['position'] == 'DE') | (BMI_table['position'] == 'DT') | \\\n", " (BMI_table['position'] == 'NT')]\n", "backs = BMI_table[(BMI_table['position'] == 'FB') | (BMI_table['position'] == 'CB') | \\\n", " (BMI_table['position'] == 'DB') | (BMI_table['position'] == 'FS') | \\\n", " (BMI_table['position'] == 'SAF') | (BMI_table['position'] == 'SS')]\n", "special = BMI_table[(BMI_table['position'] == 'K') | (BMI_table['position'] == 'QB') |\\\n", " (BMI_table['position'] == 'P')]\n", "\n", "ax = liner.plot(kind='scatter', x='wt_kg', y='ht_m', c='r', s = 20, linewidth='0.0', figsize=(7,4))\n", "backs.plot(kind='scatter', x='wt_kg', y='ht_m', c='b', s = 20, linewidth='0.0', ax=ax)\n", "special.plot(kind='scatter', x='wt_kg', y='ht_m', c='g', s = 20, linewidth='0.0', ax=ax)\n", "ax.legend(['Linemen', 'Receivers', 'QB/Kickers'], loc = 'lower right')\n", "ax.set_title(\"Height vs. Weight of Players by Positions in Football\")\n", "ax.set_xlabel(\"Weight (kg)\")\n", "ax.set_ylabel(\"Height (m)\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.5" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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jTxdJiDS5cqyklkA9rfVx4A+l1J/AaODBzBVRCN83d9dcWk9tzdSlRTnrX4nT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\nN0le7wVorfVXN2zXGBgM1Nd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nCTnzkBiQl4SAPCQG5CExZx7zPNVjEAkBeUnMlYfEfHmI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\nSOX/AW9tx2TGAXJvAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "c = 1\n", "x = np.linspace(-15, 15, 400)\n", "y = 1/(1+np.exp(-1*c*x))\n", "c = 0.2\n", "y2 = 1/(1+np.exp(-1*c*x))\n", "c = 0.4\n", "y3 = 1/(1+np.exp(-1*c*x))\n", "\n", "plt.plot(x,y, linewidth=1.2, label=\"c = 1\")\n", "plt.plot(x, y2, linewidth=1.2, label=\"c = 0.2\")\n", "plt.plot(x, y3, linewidth=1.2, label=\"c = 0.4\")\n", "\n", "plt.ylim(-0.1, 1.1)\n", "plt.grid()\n", "plt.xlabel(\"x\")\n", "plt.ylabel(\"f(x)\")\n", "plt.legend(loc=\"lower right\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Figure 4.8" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(-3.5, 3.5)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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lm5BbbuHaz6+lfadOtGnfnjzSaX3EEZz7zb0kP/002x95hE0/FlN61FEUzfO/5K8xoSHo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\nAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(6,4.5))\n", "\n", "x = np.linspace(stats.norm.ppf(0.0001), stats.norm.ppf(0.9999), 100)\n", "plt.plot(x, stats.norm.pdf(x), 'r-', linewidth=1.2)\n", "plt.fill_between(x, stats.norm.pdf(x), facecolor='red', alpha=0.25)\n", "\n", "n=50\n", "j=0.0\n", "i = 1/float(n)\n", "\n", "while j < 1:\n", " j = j + i\n", " x_value = stats.norm.ppf(j)\n", " plt.vlines(x_value, 0, stats.norm.pdf(stats.norm.ppf(j)), color='blue') \n", " \n", "plt.xlabel('x')\n", "plt.ylabel('Density')\n", "plt.title(\"Uniformly Spaced Samples in the Normal Distribution\")\n", "plt.ylim(0,0.42)\n", "plt.xlim(-3.5, 3.5)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }