back_acqTek2002B.ipynb

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   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline\n",
      "# coding=utf-8\n",
      "\n",
      "import tek3 as tek3\n",
      "test = tek3.TekScope(\"/dev/usbtmc0\")\n",
      "\n",
      "import time\n",
      "\n",
      "# refresca de lo importado cada vez que se hace ejecuci\u00f3n\n",
      "%load_ext autoreload\n",
      "%autoreload 2\n",
      "\n",
      "# import json\n",
      "# import matplotlib.pyplot as plot"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n",
        "TEKTRONIX,TDS 2002B,C101891,CF:91.1CT FV:v22.11"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Registro autom\u00e1tico de picos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def init(inst=test):\n",
      "    inst.write('INITIATE_CLEAR')\n",
      "    inst.set_data_encoding('RIBinary')\n",
      "    test.write('ACQuire:MODe SAMple') # test.write('ACQuire:MODe PEAKdetect') lo descarto pues manual dice que puede verse mas ruidoso  \n",
      "    inst.write('ACQUIRE:STOPAFTER SEQUENCE')\n",
      "    test.write('ACQuire:STATE RUN')   \n",
      "    test.write('CH2:SCALE 1')\n",
      "    test.write('CH1:SCALE 10E-3')\n",
      "\n",
      "init()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def escalas():\n",
      "    # obtener una vez los l\u00edmites verticales del canal\n",
      "    test.set_data_source(1) # canal 1\n",
      "    offset1 = test.get_out_waveform_vertical_position()\n",
      "    scale1 = test.get_out_waveform_vertical_scale_factor()\n",
      "    \n",
      "    test.set_data_source(2) # canal 1\n",
      "    offset2 = test.get_out_waveform_vertical_position()\n",
      "    scale2 = test.get_out_waveform_vertical_scale_factor()\n",
      "    return offset1, scale1, offset2, scale2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def flName(camara, tipo, N):\n",
      "    filePath= './data/'\n",
      "    fileDate= time.strftime('%y%m%d')\n",
      "    fileCamara= camara # 'n' nuestra = Campbelliana\n",
      "    fileN= N\n",
      "    fileExt= '.npy'\n",
      "    fileType= tipo\n",
      "    fileName= filePath+ fileType+ fileDate + fileCamara+ ('{:02n}'.format(fileN))+ fileExt\n",
      "    return fileName"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def paramSave(camara, N):\n",
      "    '''\n",
      "    Grabo par\u00e1metros de la medici\u00f3n\n",
      "    '''\n",
      "    test.load_setup() # Obtiene par\u00e1metros del osciloscopio\n",
      "    sets= test.dico\n",
      "    [offset1, scale1, offset2, scale2]= escalas()\n",
      "    sets['OFFSET1']= offset1\n",
      "    sets['SCALE1']= scale1\n",
      "    sets['OFFSET2']= offset2\n",
      "    sets['SCALE2']= scale2\n",
      "    sets['ELECTRONICA']= 'Luis'\n",
      "    sets['FUENTE']= 'Canberra 3002'\n",
      "    sets['HV']= '400' # [V] diferencia potencial fuente\n",
      "    sets['CAMARA']= 'CFP-25'\n",
      "    sets['PRESION_AR']= '2.195' # [kgf/cm^2] P_m antes de cerrar v5 150407\n",
      "    sets['PRESION_N2']= '0' # [kgf/cm^2] P_m antes de cerrar v5 150407\n",
      "    sets['ESPECTRO']= '160511v3' # archivo de espectro mas reciente\n",
      "\n",
      "    save(flName(camara, 'sets', N), sets)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def eins(channel):\n",
      "    ''' \n",
      "    Returns single channel as horizontal array \n",
      "    '''\n",
      "    test.set_data_source(channel)\n",
      "    Y= float16(test.bin_read())\n",
      "    return Y"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def readBuff2(self):\n",
      "    try:\n",
      "#        buff2 = self.ask('CURVE?')\n",
      "#        return buff2\n",
      "        return self.ask('CURVE?')\n",
      "    except TimeoutError:\n",
      "        print('Probably requested channel has no data')\n",
      "        raise"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def zwei():\n",
      "    '''\n",
      "    Returns both channels as horizontal array\n",
      "    '''\n",
      "    Y1= eins(1)\n",
      "    Y2= eins(2)\n",
      "    Meas2= np.vstack([Y1, Y2])\n",
      "    return Meas2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def single():\n",
      "    '''\n",
      "    Queries both channels, restarts acquistion\n",
      "    '''\n",
      "    test.start_acq()\n",
      "    Meas2= zwei()\n",
      "    return Meas2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def darstellungNurZwei(T, Meas2, sav= None):\n",
      "    '''\n",
      "    T: times vector\n",
      "    Meas2: Both channels 2D array\n",
      "    sav: plot filename (eps)\n",
      "    '''\n",
      "        \n",
      "    fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True)\n",
      "    fig.set_size_inches(10,8)\n",
      "    fig.subplots_adjust(hspace=0.000)\n",
      "\n",
      "    ax0.plot(T, Meas2[0,:], 'y')\n",
      "    # Make the y-axis label and tick labels match the line color.\n",
      "    ax0.set_ylabel('ch 1 [V]', color='y')\n",
      "    ax0.grid(True)\n",
      "\n",
      "    ax1.plot(T, Meas2[1,:], 'c')\n",
      "    ax1.set_ylabel('ch 2 [V]', color='c')\n",
      "    ax1.set_xlabel('tiempo [s]')\n",
      "    ax1.grid(True)\n",
      "    \n",
      "    if (sav):\n",
      "        plt.savefig('./data/'+ sav+ '.eps')\n",
      "    else:\n",
      "        plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def acqDartellung(nombre, inst=test, graf=False):\n",
      "    zeit= tek3.TekScope.Xaxis(inst)\n",
      "    data= zeit\n",
      "    print('\\n')\n",
      "    for count in range(nombre): #\n",
      "        while(test.textAsk('BUSY?')=='1'):\n",
      "            time.sleep(.5)\n",
      "        M2= single()\n",
      "        data= np.vstack([data,M2])\n",
      "        if (graf):\n",
      "            darstellungNurZwei(zeit, M2)\n",
      "        print('\\rN= '+ str(count+ 1), end=' ')\n",
      "    print('\\n')\n",
      "    return data"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def prom(data, prop):\n",
      "    '''\n",
      "    (array, float) -> array\n",
      "    \n",
      "    Obtiene el promedio de la primer fracci\u00f3n prop de ambos canales de todas las mediciones en data\n",
      "    grProm[0]: ch1, grProm[1]: ch2\n",
      "\n",
      "    '''\n",
      "    messungenZahl= data.shape\n",
      "    erstePunkten= int(messungenZahl[1]* prop)\n",
      "    prom= np.zeros([int((messungenZahl[0]- 1)/ 2), 2])\n",
      "    for i in range(1, messungenZahl[0], 2):\n",
      "        ix= int((i-1)/2)\n",
      "        prom[ix,0]= (data[i][0:erstePunkten-1]).mean()\n",
      "        prom[ix,1]= (data[i+1][0:erstePunkten-1]).mean()\n",
      "    grProm= np.array([ (prom[:,0]).mean(), (prom[:,1]).mean() ])\n",
      "    return grProm"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class archie:\n",
      "    \"\"\"Nombre archivo - NO FUNCA AUN, NO PUEDO VARIAR EXTERNAMENTE tipo\"\"\"\n",
      "\n",
      "    def __init__(self, tipo, N, camara):\n",
      "        \"\"\" (archie, int, str, str, str) -> NoneType\n",
      "\n",
      "        Un nombre de archivo con ruta, c\u00e1mara, fecha y n\u00famero \n",
      "\n",
      "        >>> archie = CashRegister(5, 5, 5, 5, 5)\n",
      "        >>> archie.N\n",
      "        '5'\n",
      "        >>> archie.camara\n",
      "        'n'\n",
      "        >>> archie.path\n",
      "        './data/'\n",
      "        >>> register.date\n",
      "        '150430'\n",
      "        \"\"\"\n",
      "        self.tipo= tipo\n",
      "        self.N=('{:02n}'.format(N))\n",
      "        self.camara = camara\n",
      "        self.path = './data/'\n",
      "        self.date = time.strftime('%y%m%d')\n",
      "        self.ext= '.npy'\n",
      "        self.fileName= self.tipo+ self.date+ self.camara+ self.N+ self.ext"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Lectura r\u00e1pida, graba ints comprimidos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def ptsAdq():\n",
      "    # correr una vez para obtener par\u00e1metros del buffer\n",
      "    buff2 = readBuff2(test) # esta bien la herencia?\n",
      "    dataPointsCharacters= int(buff2[1:2])\n",
      "    dataOffset= 2+ dataPointsCharacters\n",
      "    return (int(buff2[2:2+ dataPointsCharacters])), dataOffset # n\u00famero de lecturas en cada adquisici\u00f3n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def rapi(dataCount, dataOffset):\n",
      "    test.start_acq()\n",
      "    while(test.textAsk('BUSY?')=='1'):\n",
      "        time.sleep(1E-3)\n",
      "    # return (np.frombuffer(readBuff2(test), dtype = np.dtype('int8').newbyteorder('<'), count= dataCount, offset= dataOffset) )  \n",
      "    buff2 = readBuff2(test) # esta bien la herencia?\n",
      "    return ( np.frombuffer(buff2, dtype = np.dtype('int8').newbyteorder('<'), count= dataCount, offset= dataOffset) )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# registra ambos canales en formato de multiples arrays\n",
      "# parametros\n",
      "adquisiciones= 128*20 # n\u00famero de lecturas\n",
      "medicionDia= 4 # numero de medicion en el dia\n",
      "descripcionDetector= 'x' # experimental, n usual\n",
      "descripcionArchivo= 'acq' # experimental, acq usual\n",
      "\n",
      "# secuencia\n",
      "tiempoInicial= time.time()\n",
      "init()\n",
      "paramSave(descripcionDetector, medicionDia) # grabo archivo experimental de parametros con offsets y escalas de ambos canales\n",
      "[puntosAdquisicion, dataOffset] = ptsAdq() # puntos por cada adquisici\u00f3n, headbits en cada adquisici\u00f3n\n",
      "\n",
      "\n",
      "# for trgInt in range(6, 7): # determina el nivel de trigger\n",
      "trgInt= 6 # 1.5 V\n",
      "trg= 0.25* trgInt\n",
      "test.trigger_level(trg)\n",
      "nivelTrigger= test.trigger_level()\n",
      "print('El nivel de trigger es '+ str(nivelTrigger)+ 'V')\n",
      "\n",
      "# la lectura en s\u00ed\n",
      "ch1= np.empty([adquisiciones,puntosAdquisicion], dtype ='i8')\n",
      "ch2= np.empty([adquisiciones,puntosAdquisicion], dtype ='i8')\n",
      "zeit= tek3.TekScope.Xaxis(test) # zeit\n",
      "for medicion in range(adquisiciones):\n",
      "    print('\\rmedici\u00f3n '+ str(medicion)+ ' de '+ str(adquisiciones), end=' ')\n",
      "    test.set_data_source(1) # canal 2\n",
      "    ch1[medicion]= rapi(puntosAdquisicion, dataOffset)\n",
      "    test.set_data_source(2) # canal 2\n",
      "    ch2[medicion]= rapi(puntosAdquisicion, dataOffset)\n",
      "print('\\rmedici\u00f3n '+ str(medicion+ 1)+ ' de '+ str(adquisiciones))\n",
      "print('Tiempo transcurrido= {:.1f} min'.format((time.time()- tiempoInicial)/60) ) # tiempo transcurrido en segundos\n",
      "# graba\n",
      "np.savez_compressed(flName(descripcionDetector, descripcionArchivo, medicionDia), zeit=zeit, ch1=ch1, ch2=ch2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "El nivel de trigger es 1.52V\n",
        "\r",
        "medici\u00f3n 0 de 2560"
       ]
      },
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        " \r",
        "medici\u00f3n 1 de 2560"
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        " \r",
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       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1838 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1839 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1840 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1841 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1842 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1843 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1844 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1845 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1846 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1847 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1848 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1849 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1850 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1851 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1852 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1853 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1854 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1855 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1856 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1857 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1858 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1859 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1860 de 2560"
       ]
      },
      {
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       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1861 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1862 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1863 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1864 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1865 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1866 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1867 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1868 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1869 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1870 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1871 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1872 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1873 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1874 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1875 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1876 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1877 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1878 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1879 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1880 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1881 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1882 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1883 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1884 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1885 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1886 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1887 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1888 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1889 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1890 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1891 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1892 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1893 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1894 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1895 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1896 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1897 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1898 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1899 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1900 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1901 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1902 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1903 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1904 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1905 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1906 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1907 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1908 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1909 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1910 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1911 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1912 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1913 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1914 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1915 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1916 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1917 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1918 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1919 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1920 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1921 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1922 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1923 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1924 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1925 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1926 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1927 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1928 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1929 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1930 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1931 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1932 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1933 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1934 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1935 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1936 de 2560"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "medici\u00f3n 1937 de 2560"
       ]
      }
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Reconstruir voltajes a partir de archivo sets offsets y escalas de ambos canales"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# set -> dict para verificar \n",
      "dico= np.load('./data/sets150518x98.npy')\n",
      "textDico= dico.item()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# conversi\u00f3n a voltaje\n",
      "[offset1, scale1, offset2, scale2]= textDico['OFFSET1'], textDico['SCALE1'], textDico['OFFSET2'], textDico['SCALE2']\n",
      "Y1 = float16((res2 - offset2)* scale2)\n",
      "Y2 = float16((res2 - offset2)* scale2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Y2.shape[1]\n",
      "for i in range(Y2.shape[0]):\n",
      "    plt.plot(Y2[i])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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A27ve9h3bsaN5vWDAAO39sh07OGjXFsG9SwKsWQNGI7z5ZkRdVSgApQwUpznF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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7fecfd9e1ef0>"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Secuencia antig\u00fca de lectura"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Adquisiciones individuales\n",
      "test.write('ACQuire:MODe SAMple')\n",
      "test.write('ACQUIRE:STOPAFTER SEQUENCE')\n",
      "test.write('ACQuire:STATE RUN')\n",
      "test.write('CH2:SCALE 1')\n",
      "adquisiciones= 40\n",
      "\n",
      "N= 3 # numero de medici\u00f3n en el d\u00eda\n",
      "\n",
      "tiempoInicial= time.time()\n",
      "for i in range(6, 7): # determina el nivel de trigger\n",
      "    trg= 0.25* i\n",
      "    test.trigger_level(trg)\n",
      "    nivelTrigger= test.trigger_level()\n",
      "    print('El nivel de trigger es '+ str(nivelTrigger)+ 'V')\n",
      "    paramSave('n', N)\n",
      "    acq= acqDartellung(adquisiciones)\n",
      "    np.save(flName('n', 'acq', N), acq)\n",
      "    N+= 1\n",
      "print('Tiempo transcurrido= {:.1f} min'.format((time.time()- tiempoInicial)/60) ) # tiempo transcurrido en segundos"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "El nivel de trigger es 1.52V\n",
        "\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 10"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 11"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 12"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 13"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 14"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 15"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 16"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 17"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 18"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 19"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 20"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 21"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 22"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 23"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 24"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 25"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 26"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 27"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 28"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 32"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 33"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 34"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 35"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 36"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 37"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 38"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 39"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 40"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n",
        "\n",
        "Tiempo transcurrido= 0.9 min\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Otros ensayos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# init()\n",
      "test.ask('TRIGger:MAIn:LEVel?')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "b'2.08E0\\n'"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "np.arange(6,7)\n",
      "1.5/0.25"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "6.0"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Levanta risetime del osciloscopio, promedio de 128 "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Levanta risetime del osciloscopio, promedio de 128 \n",
      "adquisicionesNumero= 5 # por cada nivel de trigger\n",
      "\n",
      "trgInicial= 1.0 # nivel de trigger\n",
      "trfFinal= 3.5\n",
      "trfPaso= 0.25\n",
      "\n",
      "init()\n",
      "test.trigger_source('CH2')\n",
      "test.write('ACQuire:MODe AVErage')\n",
      "test.write('ACQuire:NUMAVg 128')\n",
      "test.write('MEASUrement:IMMed:SOUrce CH2')\n",
      "test.write('MEASUrement:IMMed:TYPe RISe')\n",
      "\n",
      "trgRange= arange(trgInicial, trfFinal+ trfPaso, trfPaso) # incluye trfFinal en rango\n",
      "trgSiz= trgRange.size\n",
      "triggers= np.empty([trgSiz, 1])\n",
      "risetimes= np.empty([trgSiz, adquisicionesNumero])\n",
      "\n",
      "for trg in range(trgSiz):\n",
      "    # print(trgRange[trg]) # trigger buscado\n",
      "    test.trigger_level(trgRange[trg])\n",
      "    nivelTrigger= test.trigger_level()\n",
      "    triggers[trg]= nivelTrigger\n",
      "    print('Trigger en '+ str(nivelTrigger)+ 'V')\n",
      "    for i in range(adquisicionesNumero):\n",
      "        print('\\rN= '+ str(i), end=' ')\n",
      "        test.write('ACQuire:STATE RUN')\n",
      "        while (test.textAsk('BUSY?')=='1'):\n",
      "            time.sleep(1.5)\n",
      "        risetimes[trg, i]= float(test.ask('MEASUrement:IMMed:VALue?'))\n",
      "    print('\\n')\n",
      "print('FINALIZADO')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Trigger en 1.04V\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 1.28V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 1.52V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 1.76V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 2.0V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 2.24V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 2.48V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 2.72V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 3.04V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 3.28V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Trigger en 3.52V"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\r",
        "N= 0 \r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " \n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "FINALIZADO\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "triggers"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "array([[ 1.04],\n",
        "       [ 1.28],\n",
        "       [ 1.52],\n",
        "       [ 1.76],\n",
        "       [ 2.  ],\n",
        "       [ 2.24],\n",
        "       [ 2.48],\n",
        "       [ 2.72],\n",
        "       [ 3.04],\n",
        "       [ 3.28],\n",
        "       [ 3.52]])"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "save('./data/trg150505n01.npy', triggers)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 23
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Lectura de par\u00e1metros Tektronix desde archivo set"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# set -> dict para verificar \n",
      "dico= np.load('./data/sets150505n13.npy')\n",
      "textDico= dico.item()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "{':MEASUREMENT:IMMED:TYPE': 'RISE',\n",
        " 'IMAGESIZE': 'DEFLT',\n",
        " ':CURSOR:HBARS:POSITION1': '1.032E1',\n",
        " 'PRESION_N2': '0',\n",
        " 'CH2': '1',\n",
        " 'CURRENTPROBE': '1.0E1',\n",
        " ':TRIGGER:MAIN:LEVEL': '3.28E0',\n",
        " 'WHEN': 'NOTEQUAL',\n",
        " ':HARDCOPY:BUTTON': 'SAVESALL',\n",
        " ':SAVE:IMAGE:FILEFORMAT': 'EPSIMAGE',\n",
        " 'HV': '400',\n",
        " 'CONTRAST': '54',\n",
        " 'NUMAVG': '128',\n",
        " 'LINE': '1',\n",
        " 'TYPE': 'EDGE',\n",
        " 'REFB': '0',\n",
        " 'ESPECTRO': '160504v1',\n",
        " ':MEASUREMENT:MEAS2:TYPE': 'NONE',\n",
        " 'INVERT': 'OFF',\n",
        " 'LAYOUT': 'PORTRAIT',\n",
        " 'PAPERTYPE': 'DEFLT',\n",
        " ':CURSOR:FUNCTION': 'HBARS',\n",
        " ':MATH:FFT:HORIZONTAL:POSITION': '5.0E1',\n",
        " 'STYLE': 'VECTORS',\n",
        " 'SELECT:SOURCE': 'CH2',\n",
        " 'CAMARA': 'Campbelliano',\n",
        " 'BANDWIDTH': 'ON',\n",
        " 'POLARITY': 'NORMAL',\n",
        " 'SCALE': '1.0E0',\n",
        " 'FUENTE': 'Canberra2025',\n",
        " 'SLOPE': 'RISE',\n",
        " 'HOLDOFF:VALUE': '5.0E-7',\n",
        " 'STOP': '2500',\n",
        " ':MATH:DEFINE': '\"CH1+CH2\"',\n",
        " 'PRINTQUAL': 'DEFLT',\n",
        " 'PERSISTENCE': '0',\n",
        " 'FORMAT': 'EPSIMAGE',\n",
        " 'SOURCE': 'CH1',\n",
        " ':AUTORANGE:SETTINGS': 'BOTH',\n",
        " ':DATA:ENCDG': 'RIBINARY',\n",
        " 'STATE': '0',\n",
        " ':CH2:PROBE': '1.0E0',\n",
        " 'POSITION': '8.0E-8',\n",
        " ':MEASUREMENT:MEAS3:TYPE': 'NONE',\n",
        " 'STANDARD': 'NTSC',\n",
        " 'POSITION2': '2.96E0',\n",
        " 'YUNIT': '\"V\"',\n",
        " ':DISPLAY:FORMAT': 'YT',\n",
        " ':VERBOSE': '1',\n",
        " ':MEASUREMENT:MEAS1:TYPE': 'RISE',\n",
        " 'INKSAVER': 'ON',\n",
        " ':LANGUAGE': 'SPANISH',\n",
        " 'SYNC': 'FIELD',\n",
        " ':TRIGGER:MAIN:VIDEO:SOURCE': 'CH2',\n",
        " 'COUPLING': 'DC',\n",
        " ':MEASUREMENT:METHOD': 'AUTO',\n",
        " ':TRIGGER:MAIN:MODE': 'NORMAL',\n",
        " 'IDPRINT': 'DEFLT',\n",
        " ':LOCK': 'NONE',\n",
        " ':MATH:FFT:VERTICAL:POSITION': '0.0E0',\n",
        " 'ELECTRONICA': 'Luis',\n",
        " 'WIDTH': '1.03E-3',\n",
        " 'PORT': 'USB',\n",
        " 'MAIN:SCALE': '1.0E-7',\n",
        " 'SOURCE1': 'CH2',\n",
        " 'STOPAFTER': 'SEQUENCE',\n",
        " ':TRIGGER:MAIN:EDGE:SOURCE': 'CH2',\n",
        " 'MATH': '0',\n",
        " ':CURSOR:VBARS:UNITS': 'SECONDS',\n",
        " 'START': '1',\n",
        " ':MEASUREMENT:MEAS5:TYPE': 'NONE',\n",
        " 'WIDTH:POLARITY': 'POSITIVE',\n",
        " ':PICTBRIDGE:PAPERSIZE': 'DEFLT',\n",
        " ':HORIZONTAL:DELAY:SCALE': '1.0E-8',\n",
        " 'REFA': '0',\n",
        " ':HORIZONTAL:VIEW': 'MAIN',\n",
        " ':TRIGGER:MAIN:PULSE:SOURCE': 'CH2',\n",
        " 'DATEPRINT': 'DEFLT',\n",
        " ':ACQUIRE:MODE': 'SAMPLE',\n",
        " 'VERTICAL:POSITION': '0.0E0',\n",
        " 'DESTINATION': 'REFA',\n",
        " 'POSITION1': '-4.16E-7',\n",
        " ':CH1:PROBE': '1.0E0',\n",
        " ':SELECT:CH1': '1',\n",
        " ':MEASUREMENT:MEAS4:TYPE': 'NONE',\n",
        " 'PRESION_AR': '3.005'}"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.load_setup() # Obtiene par\u00e1metros del osciloscopio\n",
      "sets= test.dico\n",
      "sets"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 106,
       "text": [
        "{'START': '1',\n",
        " 'STOP': '2500',\n",
        " 'MATH': '0',\n",
        " 'CH2': '1',\n",
        " 'LAYOUT': 'PORTRAIT',\n",
        " ':LOCK': 'NONE',\n",
        " ':MATH:FFT:VERTICAL:POSITION': '0.0E0',\n",
        " 'LINE': '1',\n",
        " ':TRIGGER:MAIN:MODE': 'NORMAL',\n",
        " 'MAIN:SCALE': '5.0E-7',\n",
        " 'SOURCE': 'CH1',\n",
        " 'FORMAT': 'EPSIMAGE',\n",
        " ':DISPLAY:FORMAT': 'YT',\n",
        " 'IDPRINT': 'DEFLT',\n",
        " 'SYNC': 'FIELD',\n",
        " ':SELECT:CH1': '1',\n",
        " 'POSITION': '0.0E0',\n",
        " 'BANDWIDTH': 'OFF',\n",
        " 'HOLDOFF:VALUE': '5.0E-7',\n",
        " 'REFB': '0',\n",
        " ':AUTORANGE:SETTINGS': 'BOTH',\n",
        " ':TRIGGER:MAIN:LEVEL': '1.52E0',\n",
        " 'SCALE': '1.0E0',\n",
        " ':HARDCOPY:BUTTON': 'SAVESALL',\n",
        " 'REFA': '0',\n",
        " 'STANDARD': 'NTSC',\n",
        " 'CONTRAST': '54',\n",
        " 'SOURCE1': 'CH2',\n",
        " 'STATE': '0',\n",
        " ':CURSOR:HBARS:POSITION1': '4.16E0',\n",
        " 'SELECT:SOURCE': 'CH2',\n",
        " ':MATH:DEFINE': '\"CH1+CH2\"',\n",
        " 'DESTINATION': 'REFA',\n",
        " ':MEASUREMENT:MEAS2:TYPE': 'NONE',\n",
        " 'INVERT': 'OFF',\n",
        " ':TRIGGER:MAIN:VIDEO:SOURCE': 'CH2',\n",
        " 'SLOPE': 'RISE',\n",
        " 'CURRENTPROBE': '1.0E1',\n",
        " ':TRIGGER:MAIN:PULSE:SOURCE': 'CH2',\n",
        " 'NUMAVG': '128',\n",
        " 'POSITION2': '4.8E-1',\n",
        " ':HORIZONTAL:DELAY:SCALE': '1.0E-8',\n",
        " ':ACQUIRE:MODE': 'SAMPLE',\n",
        " 'POSITION1': '-1.66E-6',\n",
        " ':MATH:FFT:HORIZONTAL:POSITION': '5.0E1',\n",
        " ':VERBOSE': '1',\n",
        " ':LANGUAGE': 'SPANISH',\n",
        " ':MEASUREMENT:MEAS3:TYPE': 'NONE',\n",
        " 'DATEPRINT': 'DEFLT',\n",
        " 'TYPE': 'EDGE',\n",
        " 'STOPAFTER': 'SEQUENCE',\n",
        " 'VERTICAL:POSITION': '0.0E0',\n",
        " 'PRINTQUAL': 'DEFLT',\n",
        " 'INKSAVER': 'ON',\n",
        " ':MEASUREMENT:MEAS4:TYPE': 'NONE',\n",
        " 'STYLE': 'VECTORS',\n",
        " ':CH1:PROBE': '1.0E0',\n",
        " 'PAPERTYPE': 'DEFLT',\n",
        " ':MEASUREMENT:MEAS1:TYPE': 'RISE',\n",
        " 'IMAGESIZE': 'DEFLT',\n",
        " 'WIDTH:POLARITY': 'POSITIVE',\n",
        " ':CURSOR:FUNCTION': 'OFF',\n",
        " ':MEASUREMENT:IMMED:TYPE': 'RISE',\n",
        " 'WHEN': 'NOTEQUAL',\n",
        " ':TRIGGER:MAIN:EDGE:SOURCE': 'CH2',\n",
        " ':CH2:PROBE': '1.0E0',\n",
        " ':DATA:ENCDG': 'RIBINARY',\n",
        " 'PERSISTENCE': '0',\n",
        " 'YUNIT': '\"V\"',\n",
        " 'WIDTH': '1.03E-3',\n",
        " ':MEASUREMENT:MEAS5:TYPE': 'NONE',\n",
        " ':SAVE:IMAGE:FILEFORMAT': 'EPSIMAGE',\n",
        " 'PORT': 'USB',\n",
        " ':CURSOR:VBARS:UNITS': 'SECONDS',\n",
        " 'COUPLING': 'DC',\n",
        " ':HORIZONTAL:VIEW': 'MAIN',\n",
        " ':PICTBRIDGE:PAPERSIZE': 'DEFLT',\n",
        " 'POLARITY': 'NORMAL',\n",
        " ':MEASUREMENT:METHOD': 'AUTO'}"
       ]
      }
     ],
     "prompt_number": 106
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Ensayos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = [('red', 1), ('blue', 1), ('red', 2), ('blue', 2)]\n",
      "type(sets)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "dict"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Levanto lecturas y las guardo\n",
      "test.trigger_level(0.25)\n",
      "# Mide y graba mediciones\n",
      "acq= acqDartellung(128)\n",
      "todayNum= 13\n",
      "\n",
      "np.save(filePath+ 'acq'+ fileName+ '.npy',acq)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "trigger set to 2.50E-01 V\n",
        "\r",
        "N= 1"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 2"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 3"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 4"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 5"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 6"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 7"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 8"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 9"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 10"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 11"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 12"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 13"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 14"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 15"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 16"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 17"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 18"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 19"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 20"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 21"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 22"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 23"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 24"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 25"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 26"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 27"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 28"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 32"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 33"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 34"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 35"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 36"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 37"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 38"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 39"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 40"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 41"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 42"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 43"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 44"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 45"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 46"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 47"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 48"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 49"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 50"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 51"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 52"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 53"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 54"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 55"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 56"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 57"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 58"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 59"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 60"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 61"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 62"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 63"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 64"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 65"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 66"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 67"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 68"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 69"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 70"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 71"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 72"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 73"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 74"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 75"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 76"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 77"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 78"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 79"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 80"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 81"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 82"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 83"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 84"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 85"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 86"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 87"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 88"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 89"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 90"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 91"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 92"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 93"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 94"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 95"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 96"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 97"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 98"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 99"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 100"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 101"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 102"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 103"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 104"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 105"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 106"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 107"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 108"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 109"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 110"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 111"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 112"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 113"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 114"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 115"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 116"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 117"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 118"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 119"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 120"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 121"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 122"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 123"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 124"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 125"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 126"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 127"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "N= 128"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Levanta ambos canales en pantalla\n",
      "ap= test.Xaxis()\n",
      "ch1= eins(1)\n",
      "ap= np.vstack([ap,ch1])\n",
      "ch2= eins(2)\n",
      "ap= np.vstack([ap,ch2])\n",
      "\n",
      "darstellungNurZwei(ap[0], Meas2, sav=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "NameError",
       "evalue": "name 'T' is not defined",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-11-5dc57cd44bb1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0map\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0map\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mch2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mdarstellungNurZwei\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMeas2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msav\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mNameError\u001b[0m: name 'T' is not defined"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# A partir de aqu\u00ed son ensayos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "test.ask('WFMPre?')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 853 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 115
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "[offset1, scale1, offset2, scale2]= escalas()\n",
      "offset1, scale1, offset2, scale2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 519 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 114
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# a lo pavo\n",
      "N= 12\n",
      "test.write('MEASUrement:IMMed:SOUrce CH2')\n",
      "test.write('MEASUREMENT:IMMED:TYPE RISE')\n",
      "for i in range(12, 14):\n",
      "    nombre= 1\n",
      "#     N+= 1\n",
      "    trg= 0.25* i\n",
      "    test.trigger_level(trg)\n",
      "    tension= test.trigger_level()\n",
      "    test.write('ACQuire:STATE RUN')\n",
      "    while ((test.textAsk('BUSY?')=='1')):\n",
      "        time.sleep(1)\n",
      "    print('\\n')\n",
      "    a= test.ask('MEASUrement:IMMed:VALue?')\n",
      "    print('Risetime['+ a)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "KeyboardInterrupt",
       "evalue": "",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-54-327eeb000cce>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     11\u001b[0m     \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ACQuire:STATE RUN'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtextAsk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'BUSY?'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'1'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m         \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     14\u001b[0m     \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m     \u001b[0ma\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mask\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'MEASUrement:IMMed:VALue?'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
       ]
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.trigger_source('CH2')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.write('MEASUrement:IMMed:SOUrce CH2')\n",
      "test.write('MEASUREMENT:IMMED:TYPE RISE')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.trigger_level(6)\n",
      "nivelTrigger= test.trigger_level()\n",
      "print('El nivel de trigger es '+ str(nivelTrigger)+ 'V')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "El nivel de trigger es 6.0V\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.write('ACQuire:STATE RUN')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.ask('MEASUrement:IMMed:VALue?')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "b'1.724E-7\\n'"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "risetimes.shape\n",
      "a=(risetimes[2])\n",
      "a.mean()\n",
      "save('rise150504.npy',risetimes)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 64
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "np.arange()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "adquisicionesNumero= 10\n",
      "risetimes= np.empty([adquisicionesNumero, 1])\n",
      "risetimes.shape\n",
      "risetimes[1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "array([  2.87323442e-316])"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "2.75/.25"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "11.0"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.ask('BUSY?')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "'0\\n'"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def complete():\n",
      "# Toma byte respuesta a *ESR? -> regresa el LSB= bit OPC\n",
      "    test.write('OPC')\n",
      "    esr=bin(int(textAsk('*ESR?') ) )\n",
      "    return esr[7]==0 # OPC bit"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "complete()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "False"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.write('OPC')\n",
      "esr=bin(int(textAsk('*ESR?') ) )\n",
      "esr # OPC bit"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "'0b100000'"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Lectura simple"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "test.write('DATa:SOUrce CH1') # Siempre establecer activo el canal que se quiere obtener, de lo contrario TIMEOUT\n",
      "X= test.Xaxis()\n",
      "Y= test.bin_read()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(X,Y)\n",
      "# Ejes\n",
      "plt.xlabel('tiempo [s]')\n",
      "plt.ylabel('dif. potencial [v]')\n",
      "plt.grid()\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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+pOzRGWU3DsAjAH4F4HQAZ9hHaohoCBF1ENFcIhod4GeCff05IhoYFdYeBXgf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\nRK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7fbc8274c128>"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "textAsk('ACQUIRE:STOPAFTER?')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 119,
       "text": [
        "'SEQUENCE'"
       ]
      }
     ],
     "prompt_number": 119
    }
   ],
   "metadata": {}
  }
 ]
}