您好我想作一個散點圖,並與每個點 的真正價值註釋數據點,但只是yLabel值 意思走點的實際價值,並繪製它靠近點matplotlib幫助使用Python 2.7
Python代碼
import serial # import Serial Library
import time #import time
import numpy # Import numpy
import matplotlib.pyplot as plt #import matplotlib library
from drawnow import *
temperature= []
vitesse= []
charge= []
current= []
arduinoData = serial.Serial('com5', 9600) #Creating our serial object named arduinoData
plt.ion() #Tell matplotlib you want interactive mode to plot live data
cnt=0
def makeFig(): #Create a function that makes our desired plot
plt.subplot(2,2,1)
plt.title('Live Streaming Temperature Sensor Data')
plt.ylabel('Temperature C')
plt.grid(True)
plt.plot(temperature, 'ro-')
plt.subplot(2,2,2)
plt.title('Live Streaming Speed Sensor Data')
plt.ylabel('Speed KM/H')
plt.grid(True)
plt.plot(vitesse, 'bo-')
plt.subplot(2,2,3)
plt.title('Live Streaming SOC Sensor Data')
plt.ylabel('Battery Charge %')
plt.grid(True)
plt.plot(charge, 'go-')
plt.subplot(2,2,4)
plt.title('Live Streaming Current Sensor Data')
plt.ylabel('Current A')
plt.grid(True)
plt.plot(current, 'yo-')
while True: # While loop that loops forever
while (arduinoData.inWaiting()==0): #Wait here until there is data
pass #do nothing
arduinoString = arduinoData.readline() #read the line of text from the serial port
dataArray = arduinoString.split(';') #Split it into an array called dataArray
temp = float (dataArray[0])
vite = float (dataArray[1])
char = float (dataArray[2])
curr = float (dataArray[3])
temperature.append(temp) #Build our temperature array by appending temp readings
vitesse.append(vite) #Build our vitesse array by appending temp readings
charge.append(char) #Build our charge array by appending temp readings
current.append(curr) #Build our current array by appending temp readings
drawnow(makeFig) #Call drawnow to update our live graph
plt.pause(0.00001)
cnt=cnt+1
if(cnt>50):
temperature.pop(0)
vitesse.pop(0)
charge.pop(0)
current.pop(0)
任何想法?????
請給我一個例子,因爲即時通訊新的python –
,因爲它是一個活的陰謀 –
我不能因爲你沒有提供你的整個代碼。 'annotate()'應該放在你的''drawnow()'函數 –