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.这是我每秒钟显示传感器数据的代码,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)
解决方法:
首先是导入csv模块然后使用
使用open(‘file_name.csv’,’w’,newline =”)作为csvfile:
writer = csv.DictWriter(csvfile,fieldnames = field_names)
field_names只是列的键值
writer.writerow(
{‘日期’:’日期’,’时间’:’时间’,
‘状态’:’状态’,’温度’:’温度’,’湿度’:’湿度’})为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将是你的标题,而field_names只是用作将数据填充到特定列的键
存储你的状态=”并将它放在writer.writerow()等.