20180812a - Let's see what we have

#!/usr/bin/python
import spidev
#import RPi.GPIO as GPIO
import time
import numpy as np
import matplotlib 
import matplotlib.pyplot as plt
import json
import time
from pyUn0 import *

for FILE in glob.glob("data/*.json"):
    x = us_json()
    x.JSONprocessing(FILE)
    # row and column sharing
    f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2,figsize=(20,10))
    Duration = (x.parameters['LengthAcq']-x.parameters['DeltaAcq'])/1000.0
    Title = "Duration: "+str(Duration)+"us ("+str(x.parameters['LengthAcq'])+" - "
    Title+= str(x.parameters['DeltaAcq'])+"), for "+str(x.Nacq)
    Title += " repeats\n"
    Title += "Fech = "+str(x.f)+"Msps, total of "+str(float(x.f)*Duration)+" pts per line\n" 
    Title += "Nacq = "+str(x.Nacq)
    plt.suptitle(Title)
    #plt.figure()
    A = 4000
    B = 6000
    ax1.plot(x.t[A:B],x.tmp[A:B])
    ax1.plot(x.t[A:B],x.IDLine[A:B])
    ax1.set_title('signal / IDLine for '+str(x.N))
    A =340000
    ax2.plot(x.tmp[A:A+14000])
    ax2.plot(x.IDLine[A:A+14000])
    ax2.set_title('signal / IDLine - total')
    ax3.plot(x.t,x.tmp)
    ax3.plot(x.t,x.IDLine)
    ax3.set_title('signal / IDLine - total')
    ax4.plot(x.t[1500:1600],x.TT1[1500:1600])
    ax4.plot(x.t[1500:1600],x.TT2[1500:1600])
    ax4.set_title('TT1 / TT2')
    plt.show()
    #plt.tight_layout()
    FileName = "images/"+x.iD+"-"+str(x.N)+"-all.jpg"
    f.savefig(FileName)

Data acquired

Data acquired

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Seems it takes 1s for 10000 transfers

NAcqs = [198401,793601,2977,29761,96001,768000]
Duration = [21.04,84,0.39,3.64,10.22,77]

plt.loglog(NAcqs,Duration,"p")
plt.show()