Beispiel #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()
Beispiel #2
0
step_size = int(def_input('Step size', default=2))
# set expected frequency of Arduino
frequency = 490
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)