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Edit and run



In [1]:

    
%config IPCompleter.greedy=True



In [2]:

    
from pymeasure import pym
import visa
rm = visa.ResourceManager()



In [3]:

    
rm.list_resources()









    Out[3]:





('ASRL5::INSTR', 'ASRL10::INSTR', 'GPIB0::2::INSTR')



In [4]:

    
k20 = pym.instruments.Keithley2000Multimeter(rm, 'GPIB0::2::INSTR', reset=True)
k20









    Out[4]:





Keithley2000Multimeter[0: 'voltage_dc', 1: 'current_dc', 2: 'resistance']



In [5]:

    
dac = pym.instruments.Ad5791Dac(rm,  'ASRL5::INSTR', reset=True)
dac









    Out[5]:





Ad5791Dac[0: '1a', 1: '1b', 2: '2a', 3: '2b', 4: '3a', 5: '3b', 6: '4a', 7: '4b', 8: '5a', 9: '5b', 10: '6a', 11: '6b']



In [6]:

    
k20['voltage_dc']()









    Out[6]:





[0.00015495833940804005]



In [7]:

    
dac['1a']()









    Out[7]:





[0.0]



In [8]:

    
dac['1a'](-0.2)
dac['1a']()









    Out[8]:





[-0.19998588559319608]

Sweeping



In [9]:

    
sweep = pym.SweepLinear(dac['1a'], start=0, stop=10, points=11)

Run it in a for loop



In [10]:

    
data = []
for step in sweep:
    datapoint = k20['voltage_dc']()
    data.append(datapoint)

Using list comprehension



In [11]:

    
sweep = pym.SweepLinear(dac['1a'], start=0, stop=10, points=51)
data = [k20['voltage_dc']() for _ in sweep]

Plot the Data



In [12]:

    
from matplotlib import pyplot as plt
%matplotlib inline



In [13]:

    
plt.plot(data, marker='o')









    Out[13]:





[<matplotlib.lines.Line2D at 0x88eb9b0>]

Sweep something else



In [14]:

    
import numpy as np

x = np.linspace(0, 4*np.pi, 41)
sweep = pym.SweepSteps(dac['1a'], 5* np.sin(x))

data = [k20['voltage_dc']() for _ in sweep]



In [15]:

    
plt.figure(figsize=(12,3))
plt.plot(x, data, marker='o')









    Out[15]:





[<matplotlib.lines.Line2D at 0x8a39358>]

Why not running a 2d measurment



In [16]:

    
import numpy as np

x = np.linspace(0, 2*np.pi, 21)

sweep1 = pym.SweepLinear(dac['1b'], 0, 5, 6)
sweep0 = pym.SweepSteps(dac['1a'], 5* np.sin(x))

for step1 in sweep1:
    print(step1, end=' ')
    for step0 in sweep0:
        k20['voltage_dc']()









    



[0.0] [1.0] [2.0] [3.0] [4.0] [5.0]

Buffering



In [17]:

    
vdc = k20['voltage_dc']

vdc.integration_time = 0.005
vdc.display.enable = False
vdc.autorange = False
vdc.range = 10
vdc.buffering(101)



In [18]:

    
x = np.linspace(0, 4*np.pi, 101)
sweep = pym.SweepSteps(dac['1a'], 5* np.sin(x))

for step in sweep:
    vdc.trg(waiting_time=0.02)

# Read the buffer at once
data = vdc.read()



In [19]:

    
plt.figure(figsize=(12,3))
plt.plot(x, data, marker='o')









    Out[19]:





[<matplotlib.lines.Line2D at 0x8aa4a20>]