Question

我正在尝试在Matplotlib实时图表上显示来自传感器的数据。

我想创建一个连续读取传感器的线程。然后我使用matplotlib.animation来更新当时传感器读数列表中的任何数据。

问题是matplotlib.animation似乎只从传感器读取数据一次，然后冻结。关于如何解决这个问题的任何想法？

import random
import threading
import matplotlib.animation as animation
import matplotlib.pyplot as plt

def ReadSensors():  
    global listXData
    global listTemp
    # Should be sensor data. Using dummy random data for now...
    listTemp = [ random.randint(0,5) for x in listXData ] 


def UpdateFigure(oFrame):
    global listXData
    oCurve_Temp.set_data(listXData, listTemp)
    return oCurve_Temp, 

# Initialize data lists
listXData = range(0,100)
listTemp = [0 for x in listXData]

# Initialize graph
fig, ax = plt.subplots()
ax.set_title('Temperature')
ax.set_xlabel('Data Point')
ax.set_ylabel('[oC]')
ax.set_xlim( 0, 100)
ax.set_ylim( 0, 5)
oCurve_Temp, = ax.plot([],[])

# Starts reading sensor
oThread_ReadSensors = threading.Thread(target = ReadSensors)
oThread_ReadSensors.daemon = True
oThread_ReadSensors.start()

# Update graph
ani = animation.FuncAnimation(fig, UpdateFigure, interval=500)

plt.show()

Answer 1

您没有看到任何动画，因为数据实际上并未发生变化。因此动画再次显示所有相同的数据。实际更改数据是有意义的。数据下方每600毫秒更改一次，动画每400毫秒显示一个新帧，因此某些帧显示与前一帧相同的数据。

import time
import random
import threading
import matplotlib.animation as animation
import matplotlib.pyplot as plt

def ReadSensors():  
    global listXData
    global listTemp
    # Should be sensor data. Using dummy random data for now...
    while True: 
        listTemp = [ random.randint(0,5) for x in listXData ]
        time.sleep(0.6)

def UpdateFigure(oFrame):
    print "update"
    global listXData
    oCurve_Temp.set_data(listXData, listTemp)
    return oCurve_Temp, 

# Initialize data lists
listXData = range(0,100)
listTemp = [0 for x in listXData]

# Initialize graph
fig, ax = plt.subplots()
ax.set_title('Temperature')
ax.set_xlabel('Data Point')
ax.set_ylabel('[oC]')
ax.set_xlim( 0, 100)
ax.set_ylim( 0, 5)
oCurve_Temp, = ax.plot([],[])

# Starts reading sensor
oThread_ReadSensors = threading.Thread(target = ReadSensors)
oThread_ReadSensors.daemon = True
oThread_ReadSensors.start()

# Update graph
ani = animation.FuncAnimation(fig, UpdateFigure, interval=400)

plt.show()
# Join the thread not to run into 
# an unterminated threat when closing the figure
oThread_ReadSensors.join()

matplotlib.animation无法使用线程数据进行更新

1 个答案: