我正在尝试与Chaco和pyqt合作,为实验室硬件绘制实时数据采集任务。我之前使用的是matplotlib,但事实证明它太慢了(我甚至试过动画)。当我在pyqt窗口中嵌入matplotlib图时,以下代码工作正常,但是对于chaco,当我从线程内部发出更新信号时没有任何反应。如果您不使用线程进行模拟采集,则此代码将起作用。我尝试过使用qthreads也无济于事(包括这样的内容:Threading and Signals problem in PyQt)。是否有人使用pyqt + chaco + threading可以帮助我找到我出错的地方,或者发生了什么?
import sys
import threading, time
import numpy as np
from enthought.etsconfig.etsconfig import ETSConfig
ETSConfig.toolkit = "qt4"
from enthought.enable.api import Window
from enthought.chaco.api import ArrayPlotData, Plot
from PyQt4 import QtGui, QtCore
class Signals(QtCore.QObject):
done_collecting = QtCore.pyqtSignal(np.ndarray, np.ndarray)
class PlotWindow(QtGui.QMainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
x = np.linspace(0,2*np.pi,200)
y = np.sin(x)
plotdata = ArrayPlotData(x=x, y=y)
plot = Plot(plotdata, padding=50, border_visible=True)
plot.plot(('x', 'y'))
window = Window(self,-1, component=plot)
self.setCentralWidget(window.control)
self.resize(500,500)
self.pd = plotdata
def update_display(self, x, y):
print 'updating'
self.pd.set_data('x', x)
self.pd.set_data('y', y)
def run_collection(signal):
# this is where I would start and stop my hardware,
# but I will just call the read function myself here
for i in range(1,10):
every_n_collected(i, signal)
time.sleep(0.5)
def every_n_collected(frequency, signal):
# dummy data to take place of device read
x = np.linspace(0,2*np.pi,200)
y = np.sin(x*frequency)
print 'emitting'
signal.emit(x, y)
QtGui.QApplication.processEvents()
def main():
plt = PlotWindow()
plt.show()
QtGui.QApplication.processEvents()
signals = Signals()
signals.done_collecting.connect(plt.update_display)
t = threading.Thread(target=run_collection, args=(signals.done_collecting,))
t.start()
t.join()
QtGui.QApplication.processEvents()
# it works without threads though...
# run_collection(signals.done_collecting)
if __name__ == "__main__":
app = QtGui.QApplication(sys.argv)
main()
答案 0 :(得分:1)
您加入mainthread(即UI线程)的调用是阻止该线程并阻止UI处理事件。如果您在main函数中启动app / GUI事件循环并等待关闭应用程序而不调用t.join(),它应该可以正常工作。
这是使用常规Traits / TraitsUI / Chaco应用程序的方法。
import time
import threading
import numpy as np
from traits.etsconfig.etsconfig import ETSConfig
ETSConfig.toolkit = "qt4"
from enable.api import ComponentEditor
from chaco.api import ArrayPlotData, Plot
from traits.api import Event, HasTraits, Instance
from traitsui.api import View, Item
class PlotWindow(HasTraits):
dataset = Instance(ArrayPlotData)
plot = Instance(Plot)
def _dataset_default(self):
x = np.linspace(0,2*np.pi,200)
y = np.sin(x)
plotdata = ArrayPlotData(x=x, y=y)
return plotdata
def _plot_default(self):
plot = Plot(self.dataset, padding=50, border_visible=True)
plot.plot(('x', 'y'))
return plot
def update_display(self, x, y):
print 'updating', threading.current_thread()
self.dataset.set_data('x', x)
self.dataset.set_data('y', y)
traits_view = View(
Item('plot', editor=ComponentEditor(size=(400, 400)), show_label=False)
)
def run_collection(datamodel):
# this is where I would start and stop my hardware,
# but I will just call the read function myself here
for i in range(1,10):
x = np.linspace(0,2*np.pi,200)
y = np.sin(x*i)
datamodel.update_display(x, y)
time.sleep(0.5)
def main():
plot = PlotWindow()
t = threading.Thread(target=run_collection, args=(plot,))
t.start()
# Starts the UI and the GUI mainloop
plot.configure_traits()
# don't call t.join() as it blocks the current thread...
if __name__ == "__main__":
main()