我目前正在做一个项目，它需要实时监控各种量，如温度、压力、湿度等。我正在采用一种方法，即使用matplotlib和drwnow绘制一个图形。在HOST = "localhost"

PORT = 4223

UID1 = "tsJ" # S1

from tinkerforge.ip_connection import IPConnection

from tinkerforge.bricklet_ptc import BrickletPTC

import numpy as np

import serial

import matplotlib

from matplotlib.ticker import ScalarFormatter, FormatStrFormatter

import matplotlib.pyplot as plt

from matplotlib import style

style.use('ggplot')

from drawnow import *

# creating arrays to feed the data

tempC1 = []

def makeafig():

# creating subplots

fig1 = plt.figure(1)

a = fig1.add_subplot(111)

#setting up axis label, auto formating of axis and title

a.set_xlabel('Time [s]', fontsize = 10)

a.set_ylabel('Temperature [°C]', fontsize = 10)

y_formatter = matplotlib.ticker.ScalarFormatter(useOffset=False)

a.yaxis.set_major_formatter(y_formatter)

title1 = "Current Room Temperature (Side1): " + str(temperature1/100) + " °C"

a.set_title(title1, fontsize = 10)

#plotting the graph

a.plot(tempC1, "#00A3E0")

#saving the figure

fig1.savefig('RoomTemperature.png', dpi=100)

while True:

ipcon = IPConnection() # Create IP connection

ptc1 = BrickletPTC(UID1, ipcon) # S1

ipcon.connect(HOST, PORT) # Connect to brickd

#setting the temperature from PTC bricklet

temperature1 = ptc1.get_temperature()

#processing data from a temperature sensor to 1st array

dataArray1=str(temperature1/100).split(',')

temp1 = float(dataArray1[0])

tempC1.append(temp1)

#making a live figure

drawnow(makeafig)

plt.draw()

这是我在互联网上发现的很好的方法，它正在起作用。我所面临的唯一问题是，如果我为其他传感器制作更多的阵列，那么它会耗费更多的时间，而且与秒表相比，所绘制的绘图会滞后于实时。在

对于任何一个有效率的实时图像获取方法都是有效的。

或者任何命令来清除已经打印的数组值？在

如果有人能帮我解决这个问题，我将不胜感激。在