Subversion Repositories – MLAB

(root)/Modules/Mechanical/WINDGAUGE01A/SW/Data_analyser.ipynb @ 4422

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  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import h5py\n",
      "import numpy as np\n",
      "import matplotlib.pyplot as plt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "file    = h5py.File('test_rps.hdf5', 'r')   # 'r' means that hdf5 file is open in read-only mode\n",
      "dataset = file['RPS01']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print dataset.value[4,2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "36.7822\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot( dataset.value[:,0], dataset.value[:,2], color = 'r')\n",
      "#plt.xlim([1.45415117E9,1.4541513E9])\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "prev_val= dataset.value[0,2]\n",
      "n = 0\n",
      "angle = np.zeros((dataset.shape[0]))\n",
      "for i in range(dataset.value.shape[0]):\n",
      "    if abs(dataset.value[i,2] - prev_val) > 300:\n",
      "        n -= 1\n",
      "        angle[i] = dataset.value[i,2] + n*360\n",
      "        prev_val = dataset.value[i,2]\n",
      "#    elif (dataset.value[i,2] - prev_val) < -300:\n",
      "#        n -= 1\n",
      "#        angle[i] = dataset.value[i,2] + n*360\n",
      "#        prev_val = dataset.value[i,2]\n",
      "    else:\n",
      "        angle[i] = dataset.value[i,2] + n*360\n",
      "        prev_val = dataset.value[i,2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, ax1 = plt.subplots()\n",
      "\n",
      "    ax2 = ax1.twinx()\n",
      "    ax1.plot(x, y1, 'g-')\n",
      "    ax2.plot(x, y2, 'b-')\n",
      "\n",
      "    ax1.set_xlabel('X data')\n",
      "    ax1.set_ylabel('Y1 data', color='g')\n",
      "    ax2.set_ylabel('Y2 data', color='b')\n",
      "\n",
      "    ax1.plot(dataset.value[:,0], angle,'b',dataset.value[:,0], dataset.value[:,2],'r')\n",
      "    ax2.plot(dataset.value[1:,0], np.diff(angle, n=1, axis=0),'g')\n",
      "\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "IndentationError",
       "evalue": "unexpected indent (<ipython-input-68-85470c16d7f6>, line 3)",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-68-85470c16d7f6>\"\u001b[0;36m, line \u001b[0;32m3\u001b[0m\n\u001b[0;31m    ax2 = ax1.twinx()\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
       ]
      }
     ],
     "prompt_number": 68
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "angle.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 63,
       "text": [
        "(12120,)"
       ]
      }
     ],
     "prompt_number": 63
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dataset.value[:,0].shape"
     ],
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       "output_type": "pyout",
       "prompt_number": 57,
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        "(12120,)"
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     "prompt_number": 57
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     "input": [
      "dataset.value[:,0].shape"
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       "output_type": "pyout",
       "prompt_number": 60,
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     "prompt_number": 60
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "np.diff(angle, n=1, axis=0).shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 62,
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     "prompt_number": 62
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  }
 ]
}