{ "metadata": { "name": "", "signature": "sha256:f33b459d08f36e70695b5d07de9feb138682454abcd9dc357244dcd4c6896d99" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Ebola Outbreak 2014" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Based on Python Notebook: http://nbviewer.ipython.org/gist/arsenovic/d44166390b50f9f15df3\n", "\n", "Original data source: https://github.com/cmrivers/ebola\n", "\n", "This version: [Doug Blank](mailto:dblank@cs.brynmawr.edu), [Bryn Mawr College Computer Science](http://cs.brynmawr.edu/~dblank), Oct 27, 2014" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Data retrieval" ] }, { "cell_type": "code", "collapsed": true, "input": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas as pd" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "df = pd.DataFrame.from_csv('https://raw.githubusercontent.com/cmrivers/ebola/master/country_timeseries.csv',\n", " index_col=0)\n", "df = df.sort_index()\n", "df = df.fillna(method='bfill')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Cases per country" ] }, { "cell_type": "code", "collapsed": false, "input": [ "cases_titles = [k for k in df.columns if 'deaths' in k.lower()]\n", "df.plot(y=cases_titles)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 3, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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c35FvXp9Hjy7t+X4Ekic/AikAdi9wMPCal6NYcFskix6z1pPPL4b87oMhd9pt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\njuuYdjukiibIzTY0OlcgYbN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"text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Deaths per Country" ] }, { "cell_type": "code", "collapsed": false, "input": [ "death_titles = [k for k in df.columns if 'deaths' in k.lower()]\n", "df.plot(y=death_titles)\n", "plt.legend()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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BE4OAD1Gnq4eGNwcoFOoIs++baMjym2jE2VGxCx+F3DA9kZJ/oIprOxwOR2fY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\n2J4FXjAZCD3s+8U6i0d+ZQ/xsHAPAVw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"text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Total Deaths " ] }, { "cell_type": "code", "collapsed": false, "input": [ "df['total deaths'] = df[death_titles].sum(axis =1)\n", "df.plot(y='total deaths', \n", " title='Total Deaths in \\n 2014 Ebola Outbreak')\n", "plt.ylabel('Total Deaths')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 5, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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Y8kpoYMZJFetPIPU1HAkcn3yegVr8I5C/41FSJ/UtqLIoAZdT3UltPgjD6Dr8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\nC/oP7Y8K3lZhJeAK4G8o39t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D5o5uRcL/4DpkMrsW/UZHITvzQcT/vgP/Qv+LV1GCtw+j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\nUwZP4NgwAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Exponential Fit" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Plot Log(deaths) and exponential fit" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import seaborn as sn\n", "df['log total deaths'] = np.log10(df['total deaths'].values)\n", "sn.lmplot('Day','log total deaths', df)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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vxO/GMGxiCQu3y2TR7ErW3NqEy2Xi88jYXfHhSfIVAtiqW/n5C3vpizr1Xa/b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\nVzO9kTiW7bRogz431y1t4MY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"text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Fit statistics" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import statsmodels.formula.api as sm\n", "\n", "ols = sm.OLS(df['Day'].values, df['log total deaths'].values)\n", "ols.fit().summary()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "
OLS Regression Results
Dep. Variable: y R-squared: 0.867
Model: OLS Adj. R-squared: 0.866
Method: Least Squares F-statistic: 574.1
Date: Mon, 27 Oct 2014 Prob (F-statistic): 2.49e-40
Time: 19:32:15 Log-Likelihood: -466.55
No. Observations: 89 AIC: 935.1
Df Residuals: 88 BIC: 937.6
Df Model: 1
\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "
coef std err t P>|t| [95.0% Conf. Int.]
x1 41.7750 1.744 23.960 0.000 38.310 45.240
\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "
Omnibus: 34.203 Durbin-Watson: 0.005
Prob(Omnibus): 0.000 Jarque-Bera (JB): 5.737
Skew: 0.034 Prob(JB): 0.0568
Kurtosis: 1.758 Cond. No. 1.00
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 7, "text": [ "\n", "\"\"\"\n", " OLS Regression Results \n", "==============================================================================\n", "Dep. Variable: y R-squared: 0.867\n", "Model: OLS Adj. R-squared: 0.866\n", "Method: Least Squares F-statistic: 574.1\n", "Date: Mon, 27 Oct 2014 Prob (F-statistic): 2.49e-40\n", "Time: 19:32:15 Log-Likelihood: -466.55\n", "No. Observations: 89 AIC: 935.1\n", "Df Residuals: 88 BIC: 937.6\n", "Df Model: 1 \n", "==============================================================================\n", " coef std err t P>|t| [95.0% Conf. Int.]\n", "------------------------------------------------------------------------------\n", "x1 41.7750 1.744 23.960 0.000 38.310 45.240\n", "==============================================================================\n", "Omnibus: 34.203 Durbin-Watson: 0.005\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 5.737\n", "Skew: 0.034 Prob(JB): 0.0568\n", "Kurtosis: 1.758 Cond. No. 1.00\n", "==============================================================================\n", "\"\"\"" ] } ], "prompt_number": 7 } ], "metadata": {} } ] }