使用 python 进行串行数据记录
问题描述
简介:
我需要编写一个实时读取串行数据并将其写入文本文件的小程序.我在读取数据方面取得了一些进展,但我没有成功地将这些信息存储在新文件中.
I need to write a small program that reads serial data in real-time and writes it to a text file. I have made some progress with reading the data, but I haven't had any success storing this information in a new file.
这是我的代码:
from __future__ import print_function
import serial, time, io, datetime
from serial import Serial
addr = "COM1" ## serial port to read data from
baud = 9600 ## baud rate for instrument
ser = serial.Serial(
port = addr,
baudrate = baud,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE,
bytesize=serial.EIGHTBITS,
timeout=0)
print("Connected to: " + ser.portstr)
## this will store each line of data
seq = []
count = 1 ## row index
while True:
for i in ser.read():
seq.append(i) ## convert from ACSII?
joined_seq = ''.join(str(v) for v in seq) ## Make a string from array
if i == '
':
print("Line: " + str(count) + "" + str(datetime.datetime.now()) + joined_seq) ## append a timestamp to each row of data
seq = []
count += 1
break
ser.close()
谢谢!
解决方案
也许你可以将这样的东西应用到你的代码中:
maybe you can adapt something like this to your code :
filename="myFile.txt"
datafile=open(filename, 'a')
while True:
data = ser.readline()
datafile.write(data)
datafile.close()
ser.close()
编辑如果一切正常,只需写入文件尝试:
EDIT if everything was working well just to write in a file try :
from __future__ import print_function
import serial, time, io, datetime
from serial import Serial
addr = "COM1" ## serial port to read data from
baud = 9600 ## baud rate for instrument
ser = serial.Serial(
port = addr,
baudrate = baud,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE,
bytesize=serial.EIGHTBITS,
timeout=0)
print("Connected to: " + ser.portstr)
filename="myFile.txt"
datafile=open(filename, 'a')
## this will store each line of data
seq = []
count = 1 ## row index
while True:
for i in ser.read():
seq.append(i) ## convert from ACSII?
joined_seq = ''.join(str(v) for v in seq) ## Make a string from array
if i == '
':
datafile.write("Line: " + str(count) + "" + str(datetime.datetime.now()) + joined_seq) ## append a timestamp to each row of data
seq = []
count += 1
break
datafile.close()
ser.close()
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