Esempio n. 1
0
import matplotlib.pyplot as plt
import numpy as np

from utils.pico_utils import open_pico, configure_channel, configure_sampling, getData

ps = open_pico()
configure_channel(ps, 'A')
configure_channel(ps, 'B')
ps.setSimpleTrigger('A', 1.0, 'Falling', timeout_ms=100, enabled=True)
(sampling_interval, nSamples, maxSamples) = configure_sampling(ps, 1)
dataA = getData(ps, nSamples, channel='A')
dataB = getData(ps, nSamples, channel='B')
ps.stop()
ps.close()

dataTimeAxis = np.arange(nSamples) * sampling_interval

# Uncomment following for call to .show() to not block
# plt.ion()

fig, ax = plt.subplots()
ax.plot(dataTimeAxis, dataA, label="A")
ax.plot(dataTimeAxis, dataB, label="B")
# ax.grid(True, which='major')
ax.set_title("Picoscope 2000 waveforms")
ax.set_ylabel("Voltage (V)")
ax.set_xlabel("Time (ms)")
ax.legend()
plt.show()
Esempio n. 2
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fout = open(data_dir + name_root + '_wv.csv', 'w')

# send cuty cycle to arduino
print("Sending stuff to ARDUINO")
send_command(duty_cycle=pwm)

# fire up the scope
print("\n\n")
ps = open_pico()
configure_channel(ps, 'A')
configure_channel(ps, 'B')
ps.setSimpleTrigger('A', 1.0, 'Falling', timeout_ms=100, enabled=True)

(sampling_interval, nSamples,
 maxSamples) = configure_sampling(ps, 1.0 / frequency, multiplicity=mult)
t = np.linspace(0, sampling_interval * nSamples, num=nSamples)

plt.ion()
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(12, 8))
set_as_time(ax, fontsize=fontsize)

for i in range(numRuns):

    dataA = getData(ps, nSamples, channel='A')
    dataB = getData(ps, nSamples, channel='B')

    fout.write('run %d\n' % i)
    fout.write('A\n' + ', '.join(map(str, dataA)) + '\n\n')
    fout.write('B\n' + ', '.join(map(str, dataB)) + '\n\n')
Esempio n. 3
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phase_diff = float(raw_input('Enter phase difference (deg): '))
nRuns = int(raw_input('Number of runs: '))
half_p_us = 5e5 / frequency  # in microseconds

# send half-period to arduino
print("Sending to ARDUINO")
send_command(half_p=half_p_us, phase_diff=phase_diff)

# set up scope
print("\n\n")
ps = open_pico()
configure_channel(ps, 'A')
configure_channel(ps, 'B')
ps.setSimpleTrigger('A', 1.0, 'Falling', timeout_ms=100, enabled=True)
(sampling_interval, nSamples,
 maxSamples) = configure_sampling(ps, 2 * half_p_us / 1e6)

# initialise the x axes
t = np.linspace(0, nSamples * sampling_interval, num=nSamples)
freqs = np.fft.fftfreq(nSamples, sampling_interval)

# set up plot -- does not work atm
fig, [ax1, ax2] = plt.subplots(ncols=1, nrows=2)
va_line, = ax1.plot(t, np.zeros(nSamples))
vb_line, = ax1.plot(t, np.zeros(nSamples))
f_line, = ax2.plot(freqs, np.zeros(len(freqs)))
plt.draw()

for i in range(nRuns):
    dataA = getData(ps, nSamples, channel='A')
    # do the FT
Esempio n. 4
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name_root = def_input('Filename root:', default='deg')

fout = open(data_dir+name_root+'_wv.csv', 'w')

# send half-period to arduino
print("Sending stuff to ARDUINO")
send_command(half_p=half_p_us)

# fire up the scope
print("\n\n")
ps = open_pico()
configure_channel(ps, 'A')
configure_channel(ps, 'B')
ps.setSimpleTrigger('A', 1.0, 'Falling', timeout_ms=100, enabled=True)

(sampling_interval, nSamples, maxSamples) = configure_sampling(ps, 2*half_p_us/1e6, multiplicity=mult)
t = np.linspace(0, sampling_interval*nSamples, num=nSamples)

for phase in phase_diffs:
    send_command(phase_diff=phase)
    sleep(1)

    dataA = getData(ps, nSamples, channel='A')
    dataB = getData(ps, nSamples, channel='B')

    fout.write('phase difference = %d deg\n' % phase)
    fout.write('A\n' + ', '.join(map(str, dataA)) + '\n\n')
    fout.write('B\n' + ', '.join(map(str, dataB)) + '\n\n')

    # # do the FT
    # spectrum = np.fft.fft(np.array(dataA), nSamples)
Esempio n. 5
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mult = int(def_input('Number of cycles', default=10))
half_p_us = 5e5 / frequency  # in microseconds

# send half-period to arduino
print("Sending stuff to ARDUINO")
send_command(half_p=half_p_us, phase_diff=phase_diff)

# read signal
print("\n\n")
ps = open_pico()
configure_channel(ps, 'A')
configure_channel(ps, 'B')
ps.setSimpleTrigger('A', 1.0, 'Falling', timeout_ms=100, enabled=True)

(sampling_interval, nSamples,
 maxSamples) = configure_sampling(ps, 2 * half_p_us / 1e6, multiplicity=mult)

dataA = getData(ps, nSamples, channel='A')
dataB = getData(ps, nSamples, channel='B')
ps.stop()
ps.close()

# do the FT
spectrum = np.fft.fft(np.array(dataA), nSamples)
spectrumB = np.fft.fft(np.array(dataB), nSamples)
freqs = np.fft.fftfreq(nSamples, sampling_interval)

print("FrequencyA = %f Hz" % calc_frequency(freqs, spectrum))
print("FrequencyB = %f Hz" % calc_frequency(freqs, spectrumB))

# plot the real signal
Esempio n. 6
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pwm_vals = np.arange(0, 255, step_size)
# voltages = np.linspace(0.05, 5, num=100)

data_dir = def_input('Data directory', default='data/pwm/')
name_root = def_input('Filename root', default='pwm')
fout = open(data_dir + name_root + '.tsv', 'w')
wvout = open('%swaveforms/%s_wv.csv' % (data_dir, name_root), 'w')

fout.write('expected V\tf_A (Hz)\tV_A\tsigma_V_A\tf_B (Hz)\tV_B\tsigma_V_B\n')

# fire up the scope
ps = open_pico()
configure_channel(ps, 'A')
ps.setSimpleTrigger('A', 1.0, 'Falling', timeout_ms=100, enabled=True)

(sampling_interval, nSamples, maxSamples) = configure_sampling(ps, 1.0/frequency, multiplicity=mult)

# set up the plot
plt.ion()
fig, [ax, ax1] = plt.subplots(nrows=2, ncols=1, figsize=(12,9))
set_as_time(ax, fontsize=fontsize)
set_as_freq(ax1, fontsize=fontsize)
ax.set_ylim(top=7, bottom=-2)
ax1.set_xlim(left=-4*frequency, right=4*frequency)
ax1.set_ylim(top=1e4, bottom=-10)

# make default plots
t = np.linspace(0, sampling_interval*nSamples, num=nSamples)
freqs = np.fft.fftfreq(nSamples, sampling_interval)

dataA = np.zeros(len(t))