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最近工作需要把单片机读取的传感器电压数据实时在PC上通过曲线显示出来,刚好在看python, 就试着用了python 与uart端口通讯,并且通过matplotlib.pyplot 模块实时绘制图形出来。
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因为没有UI,运行时需要在提示符下输入串口相关参数,com端口,波特率...
代码如下:
#-*- coding: utf-8 -*- # 串口测试程序 import serial import matplotlib.pyplot as plt import numpy as np import time import re # User input comport and bundrate comport = input('Please input comport (like COM3) for your connected device: ') baudrate = input('Please input baudrate (like 9600) for your connected device: ') bytes = input('Please input bytes type of uart data (1->1 byte, 2->2 bytes): ') bytes = int(bytes) print('You selected %s, baudrate %d, %d byte.' % (comport, int(baudrate), bytes)) serialport = serial.Serial(comport, int(baudrate), timeout=1, parity=serial.PARITY_EVEN, rtscts=1) if serialport.isOpen(): print("open success") else: print("open failed") plt.grid(True) # 添加网格 plt.ion() # interactive mode plt.figure(1) plt.xlabel('times') plt.ylabel('data') plt.title('Diagram of UART data by Python') t = [0] m = [0] i = 0 intdata = 0 data = '' count = 0 while True: if i > 300: # 300次数据后,清除画布,重新开始,避免数据量过大导致卡顿。 t = [0] m = [0] i = 0 plt.cla() count = serialport.inWaiting() if count > 0 : if (bytes == 1): data = serialport.read(1) elif (bytes == 2): data = serialport.read(2) if data !='': intdata = int.from_bytes(data, byteorder='big', signed = False) print('%d byte data %d' % (bytes, intdata)) i = i+1 t.append(i) m.append(intdata) plt.plot(t, m, '-r') # plt.scatter(i, intdata) plt.draw() plt.pause(0.002)