{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Code taken from Software Carpentry's [python-novice-inflammation lesson](http://swcarpentry.github.io/python-novice-inflammation/01-numpy.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = numpy.loadtxt(fname='data/inflammation-01.csv', delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot\n",
    "image  = matplotlib.pyplot.imshow(data)\n",
    "matplotlib.pyplot.show(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ave_inflammation = data.mean(axis=0)\n",
    "ave_plot = matplotlib.pyplot.plot(ave_inflammation)\n",
    "matplotlib.pyplot.show(ave_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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   "codemirror_mode": {
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