我目前正在使用树莓派,并使用DHT11每秒读取一次温度和湿度值。我必须将这些值实时保存到数据库中。这是我的代码,每秒显示一次传感器数据,我不知道如何在excel中保存数据/结果。
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)
答案 0 :(得分:1)
第一件事是使用import csv
模块,然后使用
with open('file_name.csv', 'w', newline='') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=field_names)
field_names
只是您的列的键值
writer.writerow(
{'Date': 'Date', 'Time': 'Time',
'Status': 'Status', 'Temperature': 'Temperature', 'Humidity': 'Humidity'})
为您的Excel文件写标题
writer.writerow(
{'Date': rightnow.strftime("%d/%m/%Y"), 'Time': rightnow.strftime("%H:%M:%S"),
'Status': status, 'Temperature':result.temperature, 'Humidity': result.humidity})
根据field_names
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)
第一个writer.writerow
将是您的标题,而field_names
仅用作将数据填充到垂直列的键
存储您的status = ''
并将其放入writer.writerow()
等。