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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1. 废话少说，上图

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)

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