尝试创建一个读取串行数据并更新多个数字的程序(目前只有1行和2个条形图,但可能更多)。
现在使用3个单独的FuncAnimation()调用,但证明非常慢,但是我仍然需要在将来添加更多动画数字。
那么我怎样才能使它成为一个更新所有三个(可能更多)数字的单个FuncAnimation(或类似的东西)?或者,我该怎么做才能加快速度?
#figure for current
amps = plt.figure(1)
ax1 = plt.subplot(xlim = (0,100), ylim = (0,500))
line, = ax1.plot([],[])
ax1.set_ylabel('Current (A)')
#figure for voltage
volts = plt.figure(2)
ax2 = plt.subplot()
rects1 = ax2.bar(ind1, voltV, width1)
ax2.grid(True)
ax2.set_ylim([0,6])
ax2.set_xlabel('Cell Number')
ax2.set_ylabel('Voltage (V)')
ax2.set_title('Real Time Voltage Data')
ax2.set_xticks(ind1)
#figure for temperature
temp = plt.figure(3)
ax3 = plt.subplot()
rects2 = ax3.bar(ind2, tempC, width2)
ax3.grid(True)
ax3.set_ylim([0,101])
ax3.set_xlabel('Sensor Number')
ax3.set_ylabel('temperature (C)')
ax3.set_title('Real Time Temperature Data')
ax3.set_xticks(ind2)
def updateAmps(frameNum):
try:
#error check for bad serial data
serialString = serialData.readline()
serialLine = [float(val) for val in serialString.split()]
print (serialLine)
if (len(serialLine) == 5):
voltV[int(serialLine[1])] = serialLine[2]
tempC[int(serialLine[3])] = serialLine[4]
currentA.append(serialLine[0])
if (len(currentA)>100):
currentA.popleft()
line.set_data(range(100), currentA)
except ValueError as e:
#graphs not updated for bad serial data
print (e)
return line,
#function to update real-time voltage data
def updateVolts(frameNum):
for rects, h in zip(rects1,voltV):
rects.set_height(h)
return rects1
#function to update real-time temperature data
def updateTemp(frameNum):
for rects, h in zip(rects2,tempC):
rects.set_height(h)
return rects2
调用funcAnimation:
anim1 = animation.FuncAnimation(amps, updateAmps,
interval = 20, blit = True)
anim2 = animation.FuncAnimation(volts, updateVolts, interval = 25, blit = True)
anim3 = animation.FuncAnimation(temp, updateTemp, interval = 30, blit = True)
答案 0 :(得分:2)
回应@ImportanceOfBeingErnest的评论,显而易见的解决方案是使用3个子图并且只使用一个FuncAnimation()
个调用。您只需确保您的回调函数返回每次迭代时要更新的所有艺术家的列表。
一个缺点是更新将在所有3个子图中以相同的间隔发生(与您的示例中的不同时间相反)。您可以通过使用全局变量来解决这个问题,这些变量可以计算调用函数的时间,并且每隔一段时间只执行一些绘图。
#figure
fig = plt.figure(1)
# subplot for current
ax1 = fig.add_subplot(131, xlim = (0,100), ylim = (0,500))
line, = ax1.plot([],[])
ax1.set_ylabel('Current (A)')
#subplot for voltage
ax2 = fig.add_subplot(132)
rects1 = ax2.bar(ind1, voltV, width1)
ax2.grid(True)
ax2.set_ylim([0,6])
ax2.set_xlabel('Cell Number')
ax2.set_ylabel('Voltage (V)')
ax2.set_title('Real Time Voltage Data')
ax2.set_xticks(ind1)
#subplot for temperature
ax3 = fig.add_subplot(133)
rects2 = ax3.bar(ind2, tempC, width2)
ax3.grid(True)
ax3.set_ylim([0,101])
ax3.set_xlabel('Sensor Number')
ax3.set_ylabel('temperature (C)')
ax3.set_title('Real Time Temperature Data')
ax3.set_xticks(ind2)
def updateAmps(frameNum):
try:
#error check for bad serial data
serialString = serialData.readline()
serialLine = [float(val) for val in serialString.split()]
print (serialLine)
if (len(serialLine) == 5):
voltV[int(serialLine[1])] = serialLine[2]
tempC[int(serialLine[3])] = serialLine[4]
currentA.append(serialLine[0])
if (len(currentA)>100):
currentA.popleft()
line.set_data(range(100), currentA)
except ValueError as e:
#graphs not updated for bad serial data
print (e)
return line,
#function to update real-time voltage data
def updateVolts(frameNum):
for rects, h in zip(rects1,voltV):
rects.set_height(h)
return rects1
#function to update real-time temperature data
def updateTemp(frameNum):
for rects, h in zip(rects2,tempC):
rects.set_height(h)
return rects2
def updateALL(frameNum):
a = updateAmps(frameNum)
b = updateVolts(frameNum)
c = updateTemp(frameNum)
return a+b+c
animALL = animation.FuncAnimation(fig, updateALL,
interval = 20, blit = True)