stepsUp = np.interp(meanMMHg + 0.5, mmHgs, steps)
stepsDown = np.interp(meanMMHg - 0.5, mmHgs, steps)
slope = stepsUp - stepsDown # steps to change by 1 mmHg
sei = 0 # span error integral
span_kp = 0.9
span_ki = 0.1
mei = 0 # mean error integral
mid_kp = 0.85
mid_ki = 0.1
RNG = 7500
MID = mean
stop = 0
while (i < N): # up until N, keep appending to the list
s = pressure.one_read()
i = i + 1
now = time.time()
t.append(now - before)
p1 = pressure.psi2mmHg(int(s) * 0.001)
p.append(p1)
if ((i % 10) == 0):
line1.set_data(T0[0:i], p[0:i])
data = np.array(p)
m0 = np.amin(data)
m1 = np.amax(data)
line2.set_data([0, T0[i - 1]], [m1, m1])
line3.set_data([0, T0[i - 1]], [m0, m0])
ax.legend((line1, line2, line3),
('BP', 'MAX:%3.1f' % m1, 'MIN:%3.1f' % m0),
loc='lower center')
print(ys)
print("about to write waveform")
pressure.write_waveform(ys)
print("Wrote waveform")
wf = pressure.read_waveform()
print(wf)
print("Read waveform")
#sys.exit(0);
pressure.play_waveform(1, hsteps, home)
before = time.time()
threshold = before + 10.0
t = []
pressure.start_reading()
while (time.time() < threshold):
pressure.one_read()
now = time.time()
t.append(now - before)
#p.append(p0)
pressure.stop_reading()
if (use_psi):
p = pressure.get_pressures()
else:
p = pressure.get_mmHgs()
print("PLOTTING")
import pickle
s = pickle.dumps([t, p])
f = open('data.bin', 'wb')
f.write(s)
f.close()
from finger import Pressure
import time
import numpy as np
from matplotlib import pyplot as plt
plt.ion()
pressure = Pressure()
for i in range(100):
print(pressure.one_read())
time.sleep(1.0)