我使用一个Raspberry Pi来绘制串行的实时数据,但是最终内存耗尽了。我不确定是否/如何关闭这个数字,但仍然有一个实时的数据显示。
是否有可能用每一个动画创建和关闭一个新的人物?
我现在的代码是:
import serial
import matplotlib
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('TkAgg') #comment out for debugging
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
import gc
# Create figure for plotting
fig = plt.figure()
xs = []
ysAC = []
ysDC = []
ser = serial.Serial('/dev/ttyUSB0', 115200, timeout=1)
ser.flush()
# This function is called periodically from FuncAnimation
def animate(i, xs, ysAC, ysDC):
values = getValues()
wAC = values[1]
wDC = values[2]
# Add x and y to lists
xs.append(i)
ysAC.append(wAC)
ysDC.append(wDC)
# Limit x and y lists to 10 items
xs = ['T-9','T-8','T-7','T-6','T-5','T-4','T-3','T-2','T-1','Now']
ysDC = ysDC[-10:]
ysAC = ysAC[-10:]
# Draw x and y lists
axRT1.clear()
if len(ysDC) == 10:
lineAC, = axRT1.plot(xs, ysAC, 'b:', label='Mains', linewidth = 4)
lineDC, = axRT1.plot(xs, ysDC, 'g--', label='Solar', linewidth = 4)
gc.collect()
#fig.clf()
#plt.close()
def getValues():
if ser.in_waiting > 0:
line = ser.readline().decode('utf-8').rstrip()
return list(line.split(","))
# Set up plot to call animate() function periodically
ani = animation.FuncAnimation(fig, animate, fargs=(xs, ysAC, ysDC), interval=1000, blit=False)
plt.get_current_fig_manager().full_screen_toggle()
plt.ioff()
plt.show()
plt.draw()发布于 2022-02-17 11:15:48
清除下面标出的地块的粗劣方法为我解决了这个问题:
import time
import serial
import datetime as dt
import matplotlib
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('TkAgg') #comment out for debugging
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import matplotlib.animation as animation
from decimal import Decimal
import pandas as pd
import numpy as np
import os.path as path
import re
import gc
import os
count = 0
# Create figure for plotting
fig = plt.figure()
fig.patch.set_facecolor('whitesmoke')
hFont = {'fontname':'sans-serif', 'weight':'bold', 'size':'12'}
xs = ['T-9','T-8','T-7','T-6','T-5','T-4','T-3','T-2','T-1','Now']
ysTemp = []
ysAC = []
ysDC = []
axRT1 = fig.add_subplot(2, 2, 1)
axRT2 = axRT1.twinx() # instantiate a second axes that shares the same x-axis
#Draw x and y lists
axRT1.clear()
axRT2.clear()
axRT1.set_ylim([0, 4])
axRT2.set_ylim([10, 70])
axRT1.set_ylabel('Power Consumption kW', **hFont)
axRT2.set_ylabel('Temperature C', **hFont)
axRT1.set_xlabel('Seconds', **hFont)
axRT1.set_title('Power Consumption and Temperature - Real Time', **hFont)
lineTemp, = axRT2.plot([], [], 'r', label='Temp', linewidth = 4)
lineAC, = axRT1.plot([], [], 'b:', label='Mains', linewidth = 4)
lineDC, = axRT1.plot([], [], 'g--', label='Solar', linewidth = 4)
fig.legend([lineAC, lineDC,lineTemp], ['Mains', 'Solar', 'Temp'], fontsize=20)
ser = serial.Serial('/dev/ttyUSB0', 115200, timeout=1)
ser.flush()
# This function is called periodically from FuncAnimation
def animate(i, xs, ysTemp, ysAC, ysDC):
values = getValues()
if values != 0:
temp_c = Decimal(re.search(r'\d+',values[3]).group())
if temp_c < 0: temp_c = 0
wAC = round(Decimal(re.search(r'\d+', values[1]).group())/1000, 2)
if wAC < 0.35: wAC = 0
aDC = float(re.search(r'\d+', values[2]).group()) #remove characters
vDC = float(re.search(r'\d+', values[4][:5]).group()) #remove characters
wDC = aDC * vDC
wDC = round(abs(Decimal(wDC))/1000, 2)
# Add x and y to lists
ysTemp.append(temp_c)
ysAC.append(wAC)
ysDC.append(wDC)
# Limit x and y lists to 10 items
ysTemp = ysTemp[-10:]
ysDC = ysDC[-10:]
ysAC = ysAC[-10:]
if len(ysTemp) == 10:
axRT2.lines = [] #This crude way of clearing the plots worked
axRT1.lines =[] #This crude way of clearing the plots worked
lineTemp, = axRT2.plot(xs, ysTemp, 'r', label='Temp', linewidth = 4)
lineAC, = axRT1.plot(xs, ysAC, 'b:', label='Mains', linewidth = 4)
lineDC, = axRT1.plot(xs, ysDC, 'g--', label='Solar', linewidth = 4)
def getValues():
measureList = 0
if ser.in_waiting > 0:
line = ser.readline().decode('utf-8').rstrip()
print(line)
if line.count(',') == 4:
measureList = list(line.split(","))
return measureList
# Set up plot to call animate() function periodically
ani = animation.FuncAnimation(fig, animate, fargs=(xs, ysTemp, ysAC, ysDC), interval=1000, blit=False)
plt.get_current_fig_manager().full_screen_toggle()
plt.ioff()
plt.show()
plt.draw()https://stackoverflow.com/questions/70125857
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