import numpy as np
from matplotlib import pyplot as plt
import math
import sys
import struct
import pickle
play = True
use_psi = False
home = 1500 # so that this is 14psi, and 3000 can be a bit higher.
plt.ion()
pressure = Pressure()
C = pressure.calibrate(1800, 3000)
lsteps = C[2]
hsteps = C[3]
lowp = C[0]
highp = C[1]
print("C=", C)
prange = highp - lowp
steprange = hsteps - lsteps
runs = 1
def psi_to_steps(psi):
s = lsteps + ((psi - lowp) / prange * steprange)
return s
from finger import Pressure
import time
import numpy as np
from matplotlib import pyplot as plt
import math
play = True
plt.ion()
pressure = Pressure()
pressure.calibrate()
w = 2.0 * math.pi
A = pressure.steps / 4
i = 0
t = 0
dt = 20e-3
ts = []
ys = []
while (t <= 2.0):
ts.append(t)
y = pressure.steps / 2 + A * math.sin(0.5 * w * t)
print(y)
ys.append(int(y))
t = t + dt
maxstep = 0
for i in range(len(ys) - 1):
ds = abs(ys[i + 1] - ys[i])
from finger import Pressure import time import numpy as np from matplotlib import pyplot as plt plt.ion() pressure = Pressure() i = 0 before = time.time() threshold = before + 10.0 t = [] w = pressure.calibrate(1200, 2800) print(w)
import numpy as np
from matplotlib import pyplot as plt
import math
import sys
import struct
import pickle
play = True
psi = False
home = 100 # so that this is 14psi, and 3000 can be a bit higher.
plt.ion()
pressure = Pressure()
C = pressure.calibrate(2200, 2900)
lsteps = C[2]
hsteps = C[3]
lowp = C[0]
highp = C[1]
print("C=", C)
prange = highp - lowp
steprange = hsteps - lsteps
print("prange=%d" % prange)
print("stepsrange=%d" % steprange)
atmospheric = 14.0
runs = 1