#!/usr/bin/python
"""
Download data from a Rigol DS1052E oscilloscope and graph with matplotlib.
By Ken Shirriff, http://righto.com/rigol
Based on http://www.cibomahto.com/2010/04/controlling-a-rigol-oscilloscope-using-linux-and-python/
by Cibo Mahto.
"""
import numpy
import matplotlib.pyplot as plot
import sys
import visa
# Get the USB device, e.g. 'USB0::0x1AB1::0x0588::DS1ED141904883'
instruments = visa.get_instruments_list()
usb = filter(lambda x: 'USB' in x, instruments)
if len(usb) != 1:
print 'Bad instrument list', instruments
sys.exit(-1)
scope = visa.instrument(usb[0], timeout=20, chunk_size=1024000) # bigger timeout for long mem
# Grab the raw data from channel 1
scope.write(":STOP")
# Get the timescale
timescale = scope.ask_for_values(":TIM:SCAL?")[0]
# Get the timescale offset
timeoffset = scope.ask_for_values(":TIM:OFFS?")[0]
voltscale = scope.ask_for_values(':CHAN1:SCAL?')[0]
# And the voltage offset
voltoffset = scope.ask_for_values(":CHAN1:OFFS?")[0]
scope.write(":WAV:POIN:MODE RAW")
rawdata = scope.ask(":WAV:DATA? CHAN1")[10:]
data_size = len(rawdata)
sample_rate = scope.ask_for_values(':ACQ:SAMP?')[0]
print 'Data size:', data_size, "Sample rate:", sample_rate
scope.write(":KEY:FORCE")
scope.close()
data = numpy.frombuffer(rawdata, 'B')
# Walk through the data, and map it to actual voltages
# This mapping is from Cibo Mahto
# First invert the data
data = data * -1 + 255
# Now, we know from experimentation that the scope display range is actually
# 30-229. So shift by 130 - the voltage offset in counts, then scale to
# get the actual voltage.
data = (data - 130.0 - voltoffset/voltscale*25) / 25 * voltscale
# Now, generate a time axis.
time = numpy.linspace(timeoffset - 6 * timescale, timeoffset + 6 * timescale, num=len(data))
# See if we should use a different time axis
if (time[-1] < 1e-3):
time = time * 1e6
tUnit = "uS"
elif (time[-1] < 1):
time = time * 1e3
tUnit = "mS"
else:
tUnit = "S"
# Plot the data
plot.plot(time, data)
plot.title("Oscilloscope Channel 1")
plot.ylabel("Voltage (V)")
plot.xlabel("Time (" + tUnit + ")")
plot.xlim(time[0], time[-1])
plot.show()
