如何使用python将传感器数据输出保存到excel中
我目前正在使用raspberry pi,并使用DHT11每秒读取温度和湿度值。我必须将这些值实时保存到数据库中。这是我每秒显示传感器数据的代码,我不知道如何将数据/结果保存在excel中如何使用python将传感器数据输出保存到excel中,python,github,raspberry-pi3,sensors,soil,Python,Github,Raspberry Pi3,Sensors,Soil,我目前正在使用raspberry pi,并使用DHT11每秒读取温度和湿度值。我必须将这些值实时保存到数据库中。这是我每秒显示传感器数据的代码,我不知道如何将数据/结果保存在excel中 import RPi.GPIO as GPIO import dht11 import time import datetime import os # initialize GPIO GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) GPIO.cleanup()
import RPi.GPIO as GPIO
import dht11
import time
import datetime
import os
# initialize GPIO
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
GPIO.cleanup()
instance = dht11.DHT11(pin=dht11_pin)
while True:
cnt += 1
if cnt%limit_sec == 0 or cnt == 1:
result = instance.read()
if result.is_valid():
if previous_temperature != result.temperature or previous_humidity != result.humidity:
previous_temperature = result.temperature
previous_humidity = result.humidity
counter += 1
rightnow = datetime.datetime.now()
if result.humidity>=40:
print(str(counter)+". Last valid input: " )
print("Date: " + rightnow.strftime("%d/%m/%Y"))
print("Time: " + rightnow.strftime("%H:%M:%S"))
print("Status: Your plant is on the good condition.")
print("Temperature: %d C" % result.temperature)
print("Humidity: %d %%" % result.humidity)
print("*******************************************")
else:
print(str(counter)+". Last valid input: " )
print("Date: " + rightnow.strftime("%d/%m/%Y"))
print("Time: " + rightnow.strftime("%H:%M:%S"))
print("Status: Your plant is on the bad condition. Please open the water supply.")
print("Temperature: %d C" % result.temperature)
print("Humidity: %d %%" % result.humidity)
print("*******************************************")
else:
print "Invalid result!"
pass
time.sleep(sleep_time)
第一件事是导入csv模块,然后使用
打开('file_name.csv','w',newline='')作为csvfile:
writer=csv.DictWriter(csvfile,fieldnames=field\u name)
字段名称
只是列的键值
writer.writerow(
{'Date':'Date','Time':'Time',
“状态”:“状态”,“温度”:“温度”,“湿度”:“湿度”})
为excel文件编写标题
writer.writerow(
{'Date':rightnow.strftime(“%d/%m/%Y”),'Time':rightnow.strftime(“%H:%m:%S”),
“状态”:状态,“温度”:结果。温度,“湿度”:结果。湿度})
根据字段名称中的键值在csv文件中写入数据
完整代码:
import RPi.GPIO as GPIO
import dht11
import time
import datetime
import csv
import os
# initialize GPIO
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
GPIO.cleanup()
instance = dht11.DHT11(pin=dht11_pin)
with open('file_name.csv', 'w', newline='') as csvfile:
field_names = ['Date', 'Time', 'Status', 'Temperature', 'Humidity']
writer = csv.DictWriter(csvfile, fieldnames=field_names)
writer.writerow(
{'Date': 'Date', 'Time': 'Time',
'Status': 'Status', 'Temperature': 'Temperature', 'Humidity': 'Humidity'})
while True:
cnt += 1
if cnt%limit_sec == 0 or cnt == 1:
result = instance.read()
if result.is_valid():
if previous_temperature != result.temperature or previous_humidity != result.humidity:
previous_temperature = result.temperature
previous_humidity = result.humidity
counter += 1
rightnow = datetime.datetime.now()
if result.humidity>=40:
status = 'Your plant is on the good condition.'
print(str(counter)+". Last valid input: " )
print("Date: " + rightnow.strftime("%d/%m/%Y"))
print("Time: " + rightnow.strftime("%H:%M:%S"))
print("Status: Your plant is on the good condition.")
print("Temperature: %d C" % result.temperature)
print("Humidity: %d %%" % result.humidity)
print("*******************************************")
else:
status = 'Your plant is on the bad condition. Please open the water supply.'
print(str(counter)+". Last valid input: " )
print("Date: " + rightnow.strftime("%d/%m/%Y"))
print("Time: " + rightnow.strftime("%H:%M:%S"))
print("Status: Your plant is on the bad condition. Please open the water supply.")
print("Temperature: %d C" % result.temperature)
print("Humidity: %d %%" % result.humidity)
print("*******************************************")
writer.writerow(
{'Date': rightnow.strftime("%d/%m/%Y"), 'Time': rightnow.strftime("%H:%M:%S"),
'Status': status, 'Temperature':result.temperature, 'Humidity': result.humidity})
else:
print "Invalid result!"
pass
time.sleep(sleep_time)
其中第一个writer.writerow
将是您的标题,字段名称
仅用作将数据填充到相应列的键
将您的
状态=''
存储在writer.writerow()
等中。看一看。您可以提出新问题并在此评论中共享其链接,这样我可以更好地理解该问题。从错误的角度看,这是一个缩进问题。在这个问题中,只包括错误所在的行。如果为True:循环,则无需包含。好的,谢谢。这是一个链接,如果您不介意完整的代码很长,您也应该在import到csv.writer中插入行。