I am trying to use Pyvisa to capture data from one of my channels of my Keithly 2701 DMM.
I get a static onetime response via temp = keithly.ask('SCPI COmmand'), but what I want to do is constantly print new data without setting any predefined size, i.e capture 300 data points.
I want to determine when to stop the capture if I have seen a trend over 10000 data points, or, in another experiment, I might see a trend after 2500 data points.
from pylab import *
from visa import instrument
inst = SerialInstument(args)
while new data:
print inst.aks('channel')
while True:
print inst.ask('channel')
time.sleep(1)
You can then ctrl-c to stop the loop when you see fit.
The above script is simple - it just puts numbers on the screen until you kill it. I find it useful to plot the data from PyVISA in real time, using matplotlib. I found this to be buggy in pyplot mode (I got lots of blank screens when I turned off interactive mode, ymmv) so I embedded it into a tkinter window, as follows:
import matplotlib
matplotlib.use('TkAgg') # this has to go before the other imports
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import Tkinter as Tk
import visa
# set up a PyVISA instrument and a list for the data
data = []
keithley = visa.instrument('GPIB0::whatever')
# make a Tkinter window
root = Tk.Tk()
# add a matplotlib figure to the Tk window
fig = Figure()
ax = fig.add_subplot(111)
canv = FigureCanvasTkAgg(fig, master=root)
canv.show()
canv.get_tk_widget().pack(fill='both', expand=True)
# a function that is called periodically by the event loop
def plot_update():
# add a new number to the data
data.append(keithley.ask('SCPI:COMM:AND?'))
# replot the data in the Tk window
ax.clear()
ax.plot(data)
fig.tight_layout()
canv.draw()
# wait a second before the next plot
root.after(1000, plot_update)
root.after(1000, plot_update)
root.mainloop()
It may not seem like much, but we gradually developed a short script like this into a rather capable instrument control program ;)