Question

我真的很难理解如何在PyQt中使用Threads。我做了一个简单的例子，说明我想在UI中做些什么。在下面的代码中，我希望用户输入股票代码（例如，您可以输入“bby”，“goog”或“v”）并绘制股票在特定时期内的价值。事情是在更复杂的Ui或很长一段时间内UI冻结，而情节正在更新。所以我创建了一个“绘图仪”类，它在接收到某个信号时更新了图（覆盖Qthread.run显然不是正确的方式you're doing it wrong）。我想让这个“绘图仪”在主要的另一个线程中运行。

一旦取消注释线程，程序就会停止工作。我试图移动新线程的启动以及“连接”，但没有任何工作。我认为即使在阅读documentation并查看Qt网站上的示例后，我也不太了解Qthread是如何工作的。

如果您知道如何做到这一点，那将会有很大帮助！（我正在使用Python 3.5和PyQt5）

from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from matplotlib.axes._subplots import Axes
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
import sys
from datetime import datetime, timedelta
import time
import quandl


class MyMplCanvas(FigureCanvas):
    """Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
    send_fig = pyqtSignal(Axes, str, name="send_fig")

    def __init__(self, parent=None):
        self.fig = Figure()
        self.axes = self.fig.add_subplot(111)

        # We want the axes cleared every time plot() is called
        self.axes.hold(False)

        FigureCanvas.__init__(self, self.fig)
        self.setParent(parent)

        FigureCanvas.setSizePolicy(self, QSizePolicy.Expanding, QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

    def update_plot(self, axes):
        self.axes = axes
        self.draw()

class MainWindow(QMainWindow):
    send_fig = pyqtSignal(Axes, str, name="send_fig")

    def __init__(self):
        super().__init__()

        self.main_widget = QWidget(self)
        self.myplot = MyMplCanvas(self.main_widget)
        self.editor = QLineEdit()
        self.display = QLabel("Vide")

        self.layout = QGridLayout(self.main_widget)
        self.layout.addWidget(self.editor)
        self.layout.addWidget(self.display)
        self.layout.addWidget(self.myplot)

        self.main_widget.setFocus()
        self.setCentralWidget(self.main_widget)

        self.move(500, 500)
        self.show()

        self.editor.returnPressed.connect(self.updatePlot)

        self.plotter = Plotter()
        self.send_fig.connect(self.plotter.replot)

        self.plotter.return_fig.connect(self.myplot.update_plot)


    def updatePlot(self):
        ticker = self.editor.text()
        self.editor.clear()
        self.display.setText(ticker)

        # thread = QThread()
        # self.plotter.moveToThread(thread)

        self.send_fig.emit(self.myplot.axes, ticker)

        # thread.start()


class Plotter(QObject):
    return_fig = pyqtSignal(Axes)

    @pyqtSlot(Axes, str)
    def replot(self, axes, ticker):  # A slot takes no params
        print(ticker)
        d = datetime.today() - timedelta(weeks=52)  # data from 1week ago
        data = quandl.get("YAHOO/"+ticker+".6", start_date=d.strftime("%d-%m-%Y"), end_date=time.strftime("%d-%m-%Y"))
        axes.plot(data)
        self.return_fig.emit(axes)


if __name__ == '__main__':
    app = QApplication(sys.argv)
    win = MainWindow()
    sys.exit(app.exec_())

Answer 1

第一个问题是，一旦启动，您就会失去对thread的引用。保持引用使用类变量，即self.thread而不是thread。

接下来，必须在执行任何操作之前启动线程。因此，您需要将self.thread.start()置于信号发射之前。

现在，它已经可以工作了，但是一旦你想要开始一个新线程就会出现下一个问题。所以，你需要先杀死旧的。由于旧Plotter将无家可归，因此解决方案是每次要绘制时创建新的绘图仪以及新线程。这是下面的解决方案的工作方式或者，您也可以始终使用相同的绘图仪和线程。唯一要记住的是，总有一个工人（绘图仪）和一个线程，如果你删除其中一个，另一个很难过。

为了测试它，我需要改变一些小东西，比如使用PyQt4代替5并替换数据生成。这是工作代码。

from PyQt4.QtCore import *
from PyQt4.QtGui import *
from matplotlib.axes._subplots import Axes
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
import sys
from datetime import datetime, timedelta
import numpy as np



class MyMplCanvas(FigureCanvas):
    """Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
    send_fig = pyqtSignal(Axes, str, name="send_fig")

    def __init__(self, parent=None):
        self.fig = Figure()
        self.axes = self.fig.add_subplot(111)

        # We want the axes cleared every time plot() is called
        self.axes.hold(False)

        FigureCanvas.__init__(self, self.fig)
        self.setParent(parent)

        FigureCanvas.setSizePolicy(self, QSizePolicy.Expanding, QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

    def update_plot(self, axes):
        self.axes = axes
        self.draw()

class MainWindow(QMainWindow):
    send_fig = pyqtSignal(Axes, str, name="send_fig")

    def __init__(self):
        super(MainWindow, self).__init__()

        self.main_widget = QWidget(self)
        self.myplot = MyMplCanvas(self.main_widget)
        self.editor = QLineEdit()
        self.display = QLabel("Vide")

        self.layout = QGridLayout(self.main_widget)
        self.layout.addWidget(self.editor)
        self.layout.addWidget(self.display)
        self.layout.addWidget(self.myplot)

        self.main_widget.setFocus()
        self.setCentralWidget(self.main_widget)

        self.move(500, 500)
        self.show()

        self.editor.returnPressed.connect(self.updatePlot)

        # plotter and thread are none at the beginning
        self.plotter = None 
        self.thread = None



    def updatePlot(self):
        ticker = self.editor.text()
        self.editor.clear()
        self.display.setText(ticker)

        # if there is already a thread running, kill it first
        if self.thread != None and self.thread.isRunning():
            self.thread.terminate()

        # initialize plotter and thread
        # since each plotter needs its own thread
        self.plotter = Plotter()
        self.thread = QThread()
        # connect signals
        self.send_fig.connect(self.plotter.replot)
        self.plotter.return_fig.connect(self.myplot.update_plot)
        #move to thread and start
        self.plotter.moveToThread(self.thread)
        self.thread.start()
        # start the plotting
        self.send_fig.emit(self.myplot.axes, ticker)



class Plotter(QObject):
    return_fig = pyqtSignal(Axes)

    @pyqtSlot(Axes, str)
    def replot(self, axes, ticker):  # A slot takes no params
        print(ticker)
        d = datetime.today() - timedelta(weeks=52)  # data from 1week ago
        # do some random task
        data = np.random.rand(10000,10000)
        axes.plot(data.mean(axis=1))
        self.return_fig.emit(axes)


if __name__ == '__main__':
    app = QApplication(sys.argv)
    win = MainWindow()
    sys.exit(app.exec_())

这是提到的第二个选项的解决方案，即创建一个单独的工作者和一个线程，并在整个程序的运行时使用它们。

from PyQt4.QtCore import *
from PyQt4.QtGui import *
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
import sys
import numpy as np



class MyMplCanvas(FigureCanvas):

    def __init__(self, parent=None):
        self.fig = Figure()
        self.axes = self.fig.add_subplot(111)
        # plot empty line 
        self.line, = self.axes.plot([],[], color="orange")

        FigureCanvas.__init__(self, self.fig)
        self.setParent(parent)

        FigureCanvas.setSizePolicy(self, QSizePolicy.Expanding, QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)


class MainWindow(QMainWindow):
    send_fig = pyqtSignal(str)

    def __init__(self):
        super(MainWindow, self).__init__()

        self.main_widget = QWidget(self)
        self.myplot = MyMplCanvas(self.main_widget)
        self.editor = QLineEdit()
        self.display = QLabel("Vide")

        self.layout = QGridLayout(self.main_widget)
        self.layout.addWidget(self.editor)
        self.layout.addWidget(self.display)
        self.layout.addWidget(self.myplot)

        self.main_widget.setFocus()
        self.setCentralWidget(self.main_widget)
        self.show()

        # plotter and thread are none at the beginning
        self.plotter = Plotter()
        self.thread = QThread()

        # connect signals
        self.editor.returnPressed.connect(self.start_update)
        self.send_fig.connect(self.plotter.replot)
        self.plotter.return_fig.connect(self.plot)
        #move to thread and start
        self.plotter.moveToThread(self.thread)
        self.thread.start()

    def start_update(self):
        ticker = self.editor.text()
        self.editor.clear()
        self.display.setText(ticker)
        # start the plotting
        self.send_fig.emit(ticker)


    # Slot receives data and plots it
    def plot(self, data):
        # plot data
        self.myplot.line.set_data([np.arange(len(data)), data])
        # adjust axes
        self.myplot.axes.set_xlim([0,len(data) ])
        self.myplot.axes.set_ylim([ data.min(),data.max() ])
        self.myplot.draw()


class Plotter(QObject):
    return_fig = pyqtSignal(object)

    @pyqtSlot(str)
    def replot(self, ticker):
        print(ticker)
        # do some random task
        data = np.random.rand(10000,10000)
        data = data.mean(axis=1)
        self.return_fig.emit(data)


if __name__ == '__main__':
    app = QApplication(sys.argv)
    win = MainWindow()
    sys.exit(app.exec_())

如何使用Qthread使用PyQt更新Matplotlib图？

1 个答案: