如何将逗号分隔的 object 导出到 a.csv 文件中

Question

The below code is meant to output the raw data from the designated serial port to the python shell as well as the amended data now in CSV format ready to output through csv.writer into a.csv file. However the final output is shown as Fri Apr 23 21:30:05 2021 "19,62,0,0,25. As you may be able to observe this is incorrect as the output should be [time.asctime(time.localtime(time.time())),decoded_bytes] translating to Fri Apr 23 21:30:05 2021, 19,62,0,0,25. I'm not sure how the ' " ' was added nor why python considers the '19' part of the date-time object and places it in the same column. Any help would be appreciated.

import serial
import time
import csv

#ser = serial.Serial('/dev/ttyUSB0', baudrate = 9600, timeout = 1)
ser = serial.Serial('COM4', baudrate = 9600)
ser.flushInput()

while True:
    
    ser_bytes = ser.readline()
    line = ser.readline().decode('utf-8')[:-1]
    decoded_bytes = line.replace(":","",5).replace("Soil Moisture","",1).replace("Humidity","",1).replace("CO2","",1).replace("ppm","",1).replace("ppb","",1).replace("%RH","",1).replace("Temp","",1).replace("EC","",1).replace("TVOC","",1).replace(" ","",8)

    if line:  # If it isn't a blank line
        print("Incoming DATA:")
        print(line)
        print(".csv DATA:")
        print(decoded_bytes)
        with open("test_data.csv","a") as f:
            writer = csv.writer(f,delimiter=" ")
            writer.writerow([time.asctime(time.localtime(time.time())),decoded_bytes])

sample python shell output:

Incoming DATA: Soil Moisture: 22EC, Humidity: 62.00%RH, CO2: 0ppm, TVOC: 0ppb, Temp:25.00

.csv DATA: 22,62.00,0,0,25.00

Incoming DATA: Soil Moisture: 18EC, Humidity: 62.00%RH, CO2: 400ppm, TVOC: 0ppb, Temp:24.45

.csv DATA: 18,62.00,400,0,24.45

Incoming DATA: Soil Moisture: 15EC, Humidity: 62.00%RH, CO2: 400ppm, TVOC: 0ppb, Temp:25.00

.csv DATA: 15,62.00,400,0,25.00

Answer 1

Try to adapt this solution, see if it helps.

file_input.txt

Soil Moisture: 22EC, Humidity: 62.00%RH, CO2: 0ppm, TVOC: 0ppb, Temp:25.00
Soil Moisture: 18EC, Humidity: 62.00%RH, CO2: 400ppm, TVOC: 0ppb, Temp:24.45
Soil Moisture: 15EC, Humidity: 62.00%RH, CO2: 400ppm, TVOC: 0ppb, Temp:25.00

script

import time



import re

def write_to_csv(list_input):
    import csv
    with open('file_output.csv', 'a', newline='') as myfile:
        wr = csv.writer(myfile, quoting=csv.QUOTE_NONNUMERIC)
        wr.writerow(list_input)

def read_input(file_input):
    with open(file_input, 'r') as file_in:
        list_file = file_in.read().splitlines()
        for i in list_file:
            # Find the pattern
            res=re.findall(': ?(\d*\.?\d*)', i)
            # Convert the list to number
            res=list(map(float,res))
            time_stamp = time.asctime(time.localtime(time.time()))
            res.insert(0,time_stamp)
            write_to_csv(res)


file_input = 'file_input.txt'
read_input(file_input)

file_output.csv

"Fri Apr 23 10:29:11 2021",22.0,62.0,0.0,0.0,25.0
"Fri Apr 23 10:29:11 2021",18.0,62.0,400.0,0.0,24.45
"Fri Apr 23 10:29:11 2021",15.0,62.0,400.0,0.0,25.0