AGILENT 33220A PYTHON

BitBucket

• SFAI

PyVisa

• Install python 2.7.9 that includes pip Python 2.7.9

• Install pyvisa from command prompt:

python -m pip install -U pyvisa

PyVisa Tutorial

Worked:

import visa
rm = visa.ResourceManager()
rm.list_resources()
my_instrument = rm.open_resource('USB0::0x0957::0x0407::MY44047602::INSTR')
print(my_instrument.query('*IDN?'))
my_instrument.write('OUTPut ON')

This works faster:

import visa
rm = visa.ResourceManager()
#rm.list_resources()
AGILENT_33220A = rm.open_resource('USB0::0x0957::0x0407::MY44047602::INSTR')
#print(AGILENT_33220A.query('*IDN?'))
AGILENT_33220A.write('OUTPut ON')

• AUTO RECOGNITION OF SERIAL NUMBER

rm = visa.ResourceManager()
resource_list = rm.list_resources()

resource = ""

for index in range(len(resource_list)):
	if "0x0957::0x0407::" in resource_list[index]:
		resource = resource_list[index]
		break

if resource != "":
	AGILENT_33220A = rm.open_resource(resource)
	print(AGILENT_33220A.query('*IDN?'))
else:
	print "Error: Agilent 33220A not connected."
	sys.exit()



AGILENT_33220A.write('*RST')
AGILENT_33220A.write('FUNCtion SINusoid')
AGILENT_33220A.write('OUTPut:LOAD 50')
AGILENT_33220A.write('VOLTage 1')
AGILENT_33220A.write('FREQuency 25000')
AGILENT_33220A.write('OUTPut ON')
AGILENT_33220A.write('FREQuency 26000')
AGILENT_33220A.write('SWEep:STATe ON') 

Scanning

• For available remote commands: Agilent 33220A 20 MHz Waveform Generator User's Guide

import sys
import visa

#rm = visa.ResourceManager()
#rm.list_resources()
#AGILENT_33220A = rm.open_resource('USB0::0x0957::0x0407::MY44047602::INSTR')
#print(AGILENT_33220A.query('*IDN?'))


rm = visa.ResourceManager()
resource_list = rm.list_resources()

resource = ""

for index in range(len(resource_list)):
	if "0x0957::0x0407::" in resource_list[index]:
		resource = resource_list[index]
		break

if resource != "":
	AGILENT_33220A = rm.open_resource(resource)
	print(AGILENT_33220A.query('*IDN?'))
else:
	print "Error: Agilent 33220A not connected."
	sys.exit()



AGILENT_33220A.write('*RST')
AGILENT_33220A.write('FUNCtion SINusoid')
AGILENT_33220A.write('OUTPut:LOAD 50')
AGILENT_33220A.write('VOLTage 4')
AGILENT_33220A.write('FREQuency 25000')
AGILENT_33220A.write('OUTPut ON')
AGILENT_33220A.write('FREQuency 26000')
AGILENT_33220A.write('SWEep:STATe ON') 
AGILENT_33220A.write('FREQuency:STARt 1000') 
AGILENT_33220A.write('FREQuency:STOP 10000') 
AGILENT_33220A.write('SWEep:TIME 0.3') 
AGILENT_33220A.write('MARKer:FREQuency 2000') 
AGILENT_33220A.write('MARKer On') 

Peak detection

• Install matplotlib:

python -m pip install matplotlib

• copy to C:\Python27\Scripts

• numpy-1.12.0b1+mkl-cp27-cp27m-win_amd64.whl
• scipy-0.18.1-cp27-cp27m-win_amd64.whl

from Unofficial Windows Binaries for Python Extension Packages by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine

pip install "numpy-1.12.0b1+mkl-cp27-cp27m-win_amd64.whl"
pip install "scipy-0.18.1-cp27-cp27m-win_amd64.whl"

import numpy
import peakutils
from peakutils.plot import plot as pplot
from matplotlib import pyplot


centers = (30.5, 72.3)
x = numpy.linspace(0, 120, 121)
y = (peakutils.gaussian(x, 5, centers[0], 3) +
    peakutils.gaussian(x, 7, centers[1], 10) +
    numpy.random.rand(x.size))
pyplot.figure(figsize=(10,6))
pyplot.plot(x, y)
pyplot.title("Data with noise")

indexes = peakutils.indexes(y, thres=0.5, min_dist=30)
print(indexes)
print(x[indexes], y[indexes])
pyplot.figure(figsize=(10,6))
pplot(x, y, indexes)
pyplot.title('First estimate')

pyplot.show()