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annotate agilent_r5071.py @ 54:42621291eb9b

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author Daniel O'Connor <doconnor@gsoft.com.au>
date Thu, 02 May 2013 17:55:20 +0930
parents 6bd941d96c03
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1 # Docs are at http://ena.tm.agilent.com/e5071c/manuals/webhelp/eng/
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3 import numpy
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4 import scpi
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5 import pylab
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7 fname = 'data'
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9 # Connect
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10 inst = scpi.instURL('vxi://203.31.81.47')
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12 # Read ID
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13 inst.write('*IDN?')
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14 inst.read()
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15 # 'Agilent Technologies,E5071C,MY46109815,A.09.54\n'
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17 # Set to 8 byte floats
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18 inst.write(":FORM:DATA REAL")
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20 # Set to little endian
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21 inst.write(':FORM:BORD SWAP')
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23 # Grab frequency data
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24 inst.write(":SENS1:FREQ:DATA?")
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25 freqs = scpi.bindecode(inst.read(), dtype = numpy.float64)
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27 # Grab trace data
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28 inst.write(":CALC1:TRACE1:DATA:FDATA?")
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29 dat = scpi.bindecode(inst.read(), dtype = numpy.float64)
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31 # We only want the real part (no imag for this measurement)
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32 dat = dat[::2]
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34 # Plot
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35 pylab.plot(freqs, dat)
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36 pylab.show()
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38 # Save for later
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39 numpy.savez('data.npz', freqs, dat)
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41 # Load..
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42 f = numpy.load(fname + '.npz')
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43 freqs = f['arr_0']
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44 dat = f['arr_1']
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46 f = file(fname + '.csv', 'wb')
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47 f.write("Frequencies\n")
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48 numpy.savetxt(f, [freqs], delimiter = ',')
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49 f.write("Gain\n")
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50 numpy.savetxt(f, [dat], delimiter = ',')
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51 del f
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