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phobson/cardio.ipynb

Created September 4, 2012 19:35
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cardio.ipynb
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"metadata": {
"name": "cardio"
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"nbformat_minor": 0,
"worksheets": [
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"cells": [
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"cell_type": "code",
"collapsed": false,
"input": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as mdates\n",
"import pandas"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
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"input": [
"def plot_hr_zones(ax, hrmax):\n",
" zones = np.arange(0.5, 1.0, 0.1)\n",
" colors = ['LightGreen', 'Green', 'Yellow', 'Orange', 'Red']\n",
" for z, c in zip(zones, colors):\n",
" ax.axhspan(hrmax*z, hrmax*(z+0.1), \n",
" facecolor=c, edgecolor=c,\n",
" alpha=0.35, zorder=0)\n",
"\n",
"def getHRdata(filename, hrlim):\n",
" ride = pandas.DataFrame.from_csv(filename)\n",
" time_period = pandas.date_range('1/1/2012', periods=ride.shape[0], freq='1s')\n",
" hr = pandas.Series(data=ride.Hrate, index=time_period)\n",
" return hr[hr<hrlim]\n",
" \n",
"def plotHRdata(hr, ridename, hrmax, hrlim):\n",
" ax = hr.plot(zorder=5, figsize=(7,3))\n",
" ax.fmt_xdata = mdates.DateFormatter('%M')\n",
" ax.set_xlabel('Elapsed time (min)')\n",
" ax.set_ylabel('Heart Rate (BMP)')\n",
" \n",
" plot_hr_zones(ax, hrmax)\n",
" \n",
" ax.set_ylim(60, 200)\n",
" ax.xaxis.grid(True, which='major', lw=0.5, ls='-', color='k', alpha=0.35, zorder=1)\n",
" ax.yaxis.grid(True, which='major', lw=0.5, ls='-', color='k', alpha=0.35, zorder=1)\n",
" #ax.xaxis.grid(True, which='minor', lw=0.5, ls='-', color='k', alpha=0.17, zorder=1)\n",
" #ax.yaxis.grid(True, which='minor', lw=0.5, ls='-', color='k', alpha=0.17, zorder=1)\n",
" #plt.savefig('%s.svg' % ridename)\n",
" plt.savefig('%s.png' % ridename, dpi=150)\n",
" plt.show()\n",
" plt.close('all')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ridefiles = ['normal.csv', 'rockypoint.csv', 'wine.csv']\n",
"hrmax = 185\n",
"hrlim = 190\n",
"for rf in ridefiles:\n",
" ridename = rf.split('.')[0]\n",
" hr = getHRdata(rf, hrlim)\n",
" plotHRdata(hr, ridename, hrmax, hrlim)"
],
"language": "python",
"metadata": {},
"outputs": [
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