############################################
#create two instances of plot windows
qtPanningPlot1 = QtPanningPlot("Input Signal")
qtPanningPlot2 = QtPanningPlot("Output Frequency")
#create a thread which gets the data from the USB-DUX
t = threading.Thread(target=getDataThread,
args=(qtPanningPlot1, qtPanningPlot2, ringbuffer,
frequency, n))
############################################
# start data acquisition
c.start(8, 1345)
# start the thread getting the data
t.start()
# showing all the windows
app.exec_()
# no more data from the USB-DUX
c.stop()
# Signal the Thread to stop
running = False
# Waiting for the thread to stop
t.join()
#!/usr/bin/python3
import pyusbdux as dux
dux.open()
dux.start(8)
while True:
sample = dux.getSampleFromBuffer()
print(sample)
data = []
# Let's create two instances of plot windows
qtPanningPlot1 = QtPanningPlot("Unfiltered")
qtPanningPlot2 = QtPanningPlot("Filtered")
# create a thread which gets the data from the USB-DUX
t = threading.Thread(target=getDataThread,
args=(
qtPanningPlot1,
qtPanningPlot2,
))
# start data acquisition
c.start(8, 250)
# start the thread getting the data
t.start()
# showing all the windows
app.exec_()
# no more data from the USB-DUX
c.stop()
# Signal the Thread to stop
running = False
# Waiting for the thread to stop
t.join()
def data_gen():
#endless loop which gets data
# filter = MyAmazingFilter(...)
while True:
data = np.zeros(0)
while c.hasSampleAvailable():
sample = c.getSampleFromBuffer()
data = np.append(data,sample[0])
# for filtering add here:
# data = filter.dofilter(data)
yield data
c.open()
print("ADC board:",c.get_board_name())
c.start(1,8000)
print("Actual samplingrate =",c.getSamplingRate(),"Hz")
# now let's plot the data
fig, ax = plt.subplots()
# that's our plotbuffer
plotbuffer = np.zeros(500)
# plots an empty line
line, = ax.plot(plotbuffer)
# axis
ax.set_ylim(-1.5, 1.5)
# start the animation
ani = animation.FuncAnimation(fig, update, data_gen, interval=100)