我正在使用Windows 10,我正在使用Arduino micro从A1引脚读取ECG数据。我没有任何问题地使用了串行绘图仪。 Arduino连接到COM4
但是,我想用python读取心电图数据并将其绘制在那里(界面)。我找到了一个名为deque
的有用课程。链接:http://electronut.in/plotting-real-time-data-from-arduino-using-python/
我从另一个python文件调用该函数,我收到此错误:
usage: mac1.py [-h] --port PORT
mac1.py: error: argument --port is required
代码:
import serial
from Arduino import Arduino
import time
import Idr
import matplotlib.pyplot as plt
import matplotlib.animation as animation
if __name__ == '__main__':
Idr.main()
Idr.py功能:
import sys, serial, argparse
import numpy as np
from time import sleep
from collections import deque
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# plot class
class AnalogPlot:
# constr
def __init__(self, strPort, maxLen):
# open serial port
self.ser = serial.Serial(strPort, 9600)
self.ax = deque([0.0] * maxLen)
self.ay = deque([0.0] * maxLen)
self.maxLen = maxLen
# add to buffer
def addToBuf(self, buf, val):
if len(buf) < self.maxLen:
buf.append(val)
else:
buf.pop()
buf.appendleft(val)
# add data
def add(self, data):
assert (len(data) == 2)
self.addToBuf(self.ax, data[0])
self.addToBuf(self.ay, data[1])
# update plot
def update(self, frameNum, a1):
try:
line = self.ser.readline()
data = [float(val) for val in line.split()]
# print data
if (len(data) == 2):
self.add(data)
a1.set_data(range(self.maxLen), self.ay)
except KeyboardInterrupt:
print('exiting')
return a1,
# clean up
def close(self):
# close serial
self.ser.flush()
self.ser.close()
# main() function
def main():
# create parser
parser = argparse.ArgumentParser(description="LDR serial")
# add expected arguments
parser.add_argument('--port', dest='port', required=True)
# parse args
args = parser.parse_args()
# strPort = '/dev/tty.usbserial-A7006Yqh'
strPort = args.port
print('reading from serial port %s...' % strPort)
# plot parameters
analogPlot = AnalogPlot(strPort, 100)
print('plotting data...')
# set up animation
fig = plt.figure()
ax = plt.axes(xlim=(0, 100), ylim=(0, 1023))
a1, = ax.plot([], [])
anim = animation.FuncAnimation(fig, analogPlot.update,
fargs=(a1),
interval=50)
# show plot
plt.show()
# clean up
analogPlot.close()
print('exiting.')