{

 "metadata": {

  "name": "Untitled1"

 },

 "nbformat": 3,

 "nbformat_minor": 0,

 "worksheets": [

  {

   "cells": [

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "from __future__ import division\n",

      "import warnings\n",

      "import wave\n",

      "\n",

      "import numpy, numpy.fft\n",

      "import scipy\n",

      "import matplotlib.pyplot\n",

      "np = numpy\n",

      "sp = scipy\n",

      "plt = matplotlib.pyplot\n",

      "\n",

      "from sample import Sample\n",

      "\n"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 14

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "########################################\n",

      "## Violin\n",

      "flute = Sample(filename='violinmfan.wav')\n",

      "freq = 415.0"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 15

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "t = flute.get_t()               # Get the time array\n",

      "f = flute.get_L()\n",

      "plt.plot(t, f)\n",

      "plt.xlabel('time (s)')\n",

      "plt.ylabel('amplitude (normalized to 1)')\n",

      "plt.title('Waveform of a flute playing a %4.1f Hz note' % freq)\n"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "output_type": "pyout",

       "prompt_number": 16,

       "text": [

        "<matplotlib.text.Text at 0xa6df50c>"

       ]

      },

      {

       "output_type": "display_data",

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5sqHvuKUl8OiRZuPim0bfQyksLMSRI0cgEAgwcuRItG3bVqkgtY0SCiFEHiEhXHnow4fA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\nakEJhRBCiFpQQiGEEKIWlFA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      }

     ],

     "prompt_number": 16

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "def plot_samples(sample, name, freq, periods, t0s):\n",

      "    t = sample.get_t()\n",

      "    f = sample.get_L()\n",

      "    T = 1.0/freq\n",

      "    length = periods*T\n",

      "\n",

      "    def find_range(t0, f=f, t=t, length=length):\n",

      "        r\"\"\"Return the indices starting at the local maximum in the signal.\n",

      "        \"\"\"\n",

      "        _ind = np.where(np.logical_and(t0 <= t, t <= t0 + T))[0]\n",

      "        _i0 = np.argmax(f[_ind])\n",

      "        return np.where(np.logical_and(t0 <= t, t <= t0 + length))[0] + _i0\n",

      "\n",

      "    plt.subplots_adjust(hspace=0.01)\n",

      "\n",

      "    ax = []\n",

      "    for n_axis in xrange(len(t0s)):\n",

      "        if 0 == n_axis:\n",

      "            ax.append(plt.subplot(len(t0s),1,n_axis+1))\n",

      "        else:\n",

      "            ax.append(plt.subplot(len(t0s),1,n_axis+1, sharex=ax[0]))\n",

      "\n",

      "        if 0 == n_axis:\n",

      "            plt.title('Zooms of a waveform of a %s playing %4.1f Hz note'\n",

      "                      % (name, freq))\n",

      "\n",

      "        for _n, t0 in enumerate(t0s[n_axis]):\n",

      "            inds = find_range(t0)\n",

      "            plt.plot(t[inds] - t[inds[0]],\n",

      "                     f[inds], '-', label=\"t0 = %0.2g\" % t0)\n",

      "        plt.legend(loc='lower left')\n",

      "        if 1 == n_axis:\n",

      "            plt.ylabel('amplitude (normalized to 1)')\n",

      "\n",

      "    for _ax in ax[:-1]:\n",

      "        plt.setp(_ax.get_xticklabels(), visible=False)\n",

      "\n",

      "    plt.xlabel('time after t0 (s)')\n",

      "    ax[0].set_xlim([0, length])"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 12

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "t0s = [[0.35,0.53,0.76],                    # We start samples here\n",

      "       [0.25,0.44,0.66],\n",

      "       [0.1,0.98]]\n",

      "\n",

      "plot_samples(flute, name=\"Flute\", freq=freq, periods=3, t0s=t0s)\n"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "output_type": "display_data",

      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se6BvrvK58vIKjZcZc/Tx0dztv5uLLi6i8TJjzjw/U2E7KsuWW1vYZnsb/u9/skNsXzuv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\n/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      }

     ],

     "prompt_number": 13

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [],

     "language": "python",

     "metadata": {},

     "outputs": []

    }

   ],

   "metadata": {}

  }

 ]

}