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我對編程真的很陌生，最近我不得不用PyQt做GUI。基本上它是讀取來自Arduino串口上的一些數據，並每Arduino發送100個數值更新圖形。還有一個日誌功能可將數據記錄到格式化文件中。一切似乎工作正常，但現在我的程序停止工作，並顯示一條消息說python停止工作彈出。我試了幾次，隨機彈出相同的消息。你能幫我解決這個問題嗎？PyQt5中的訪問衝突錯誤
主要來自我在其他一些論壇上閱讀的內容，這個問題出現在我的主窗口類使用的PlotThread類中。我不知道那是什麼問題，以及如何解決它。這裏是Window和PlotThread類。
感謝，
西蒙·貝勒馬爾
class Window(QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.log_x = np.array([])
self.log_y = np.array([])
self.test_id = ''
self.plot_thread = PlotThread()
self.plot_thread.main = self
self.figure = plt.figure()
# Canvas Widget
self.canvas = FigureCanvas(self.figure)
# Navigation Widget
self.toolbar = NavigationToolbar(self.canvas, self)
# Button to control plot function
self.control_plot = QPushButton('Start')
self.control_plot.clicked.connect(self.plot)
# Button to log data
self.log_data = QPushButton('Log')
self.log_data.clicked.connect(self.log_file)
# Progress bar to indicate data harvesting speed
self.progressBar = QProgressBar(self)
self.progressBar.setGeometry(QRect(10, 10, 200, 25))
self.progressBar.move(500, 10)
# Layout
layout = QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
layout.addWidget(self.control_plot)
layout.addWidget(self.log_data)
self.setLayout(layout)
# Initialising the plot figure
self.fig1 = self.figure.add_subplot(111)
rect = self.fig1.patch
rect.set_facecolor('white')
self.fig1.set_xlabel('time [s]')
self.fig1.set_ylabel('RSSI [dBm]')
self.fig1.grid(True)
self.fig1.spines["top"].set_visible(False)
self.fig1.spines["right"].set_visible(False)
self.fig1.spines["bottom"].set_visible(False)
self.fig1.spines["left"].set_visible(False)
def log_file(self):
directory = ''.join(filter(str.isalpha, self.test_id))
# Creating the directory if it doesn't exist
create_directory(directory)
# Creating the file if it doesn't exist
if not os.path.isfile(
'C:\\Users\\Simon\\Documents\\Ete2017\\PythonCode\\main\\{0}\\{1}.txt'.format(directory,
self.test_id)):
log = open('C:\\Users\\Simon\\Documents\\Ete2017\\PythonCode\\main\\{0}\\{1}.txt'.format(directory,
self.test_id),
'w')
# Creating the header
log.write(' ' * 9 + 'Time [s]' + ' ' * 9 + '|' + ' ' * 4 + 'RSSI [dBm] \n')
else:
log = open('C:\\Users\\Simon\\Documents\\Ete2017\\PythonCode\\main\\{0}\\{1}.txt'.format(directory,
self.test_id),
'a')
# Logging the data
for i in range(np.size(self.log_x)):
x = str(self.log_x[i])
space_num = 24 - len(x)
log.write(' ' * space_num + x + " |" + ' ' * 5 + str(self.log_y[i]) + ' \n')
# Reinitialising logging
self.log_x = np.array([])
self.log_y = np.array([])
def pause(self):
self.plot_thread.terminate()
self.control_plot.setText('Start')
self.control_plot.clicked.connect(self.plot)
self.log_data.setText('Log')
self.log_data.clicked.connect(self.log_file)
def plot(self):
self.control_plot.setText('Pause')
self.control_plot.clicked.connect(self.pause)
self.log_data.setText('')
self.log_data.clicked.connect(self.wait)
self.plot_thread.start()
def wait(self):
pass
class PlotThread(QThread):
def __init__(self):
QThread.__init__(self)
self.main = ''
self.t_start = 0
self.ser = ser
# Replace by expected values at time 0s
self.xf = 0
self.yf = -43
def run(self):
while self.isRunning():
print("Starting to plot")
self.ser.flushInput()
self.t_start = time.time()
# Preallocating memory for the arrays
x = np.empty([100])
y = np.empty([100])
# Initializing start values
x[0] = self.xf
y[0] = self.yf
self.main.progressBar.setValue(1)
# Reading data from the Arduino
for i in range(99):
reading = str(ser.readline())
while not reading[3:5].isdigit():
reading = str(ser.readline())
y[i + 1] = -int(reading[3:5])
x[i + 1] = self.xf + (time.time() - self.t_start)
print(x[i])
self.main.progressBar.setValue(i + 1)
# Preparing start values for next iteration
self.xf = x[99]
self.yf = y[99]
# Preparing the log variables
self.main.log_x = np.append(self.main.log_x, x)
self.main.log_y = np.append(self.main.log_y, y)
# Plotting raw data
self.main.fig1.plot(x, y, 'r--')
# Filtering raw data
poly8 = np.polyfit(x, y, 8)
xGraph = np.linspace(x[0], x[99], num=200)
yGraph = np.polyval(poly8, xGraph)
# Graphing filtered data
self.main.fig1.plot(xGraph, yGraph, 'b')
# Saving the graph into a file
timer = self.xf + time.time() - self.t_start
# Scaling the axes
if timer > 80:
print("Scaling the axes")
self.main.fig1.set_xlim([int(timer) - 80, timer])
# refresh canvas
self.main.canvas.draw()
self.main.canvas.flush_events()