Data format » History » Revision 2
Revision 1 (Anonymous, 03/05/2020 03:22 PM) → Revision 2/21 (Anonymous, 03/05/2020 03:23 PM)
h1. Data format <pre><code class="python"> def readFileADLINKCh0( filename, samplesPerFile, timeSerie_A ): fd = open(filename,'rb') dum = np.fromfile(fd, dtype = np.uint16) timeSerie_A[:] = dum[:] fd.close() </code></pre> <pre><code class="python"> lastBuffer = (nbFiles-1) * buffersPerFile + firstBuffer for k in range( nbFiles ): # read the data nb = str( int( k * buffersPerFile + firstBuffer) ) filename = data_dir + "/record" + nb + ".bin" readFileADLINKCh0( filename, samplesPerFile, timeSerie_A ) print("k = {}, block = {} / {}".format(k, nb, lastBuffer)) adc_A[ k, : ] = (timeSerie_A + offset) * scalingFactor </code></pre> Les données étant lues, on remet en forme le vecteur pour ne garder que le signal correspondant aux rampes montantes: <pre><code class="python"> A_reshaped = adc_A.reshape(nbFiles * rampsPerFile, samplesPerRamp) </code></pre>