相关疑难解决方法(0)

我在这里重新绘制数字时遇到问题.我允许用户在时间刻度(x轴)中指定单位,然后重新计算并调用此函数plots().我希望情节简单地更新,而不是在图中附加另一个情节.

def plots():
    global vlgaBuffSorted
    cntr()

    result = collections.defaultdict(list)
    for d in vlgaBuffSorted:
        result[d['event']].append(d)

    result_list = result.values()

    f = Figure()
    graph1 = f.add_subplot(211)
    graph2 = f.add_subplot(212,sharex=graph1)

    for item in result_list:
        tL = []
        vgsL = []
        vdsL = []
        isubL = []
        for dict in item:
            tL.append(dict['time'])
            vgsL.append(dict['vgs'])
            vdsL.append(dict['vds'])
            isubL.append(dict['isub'])
        graph1.plot(tL,vdsL,'bo',label='a')
        graph1.plot(tL,vgsL,'rp',label='b')
        graph2.plot(tL,isubL,'b-',label='c')

    plotCanvas = FigureCanvasTkAgg(f, pltFrame)
    toolbar = NavigationToolbar2TkAgg(plotCanvas, pltFrame)
    toolbar.pack(side=BOTTOM)
    plotCanvas.get_tk_widget().pack(side=TOP)

我知道在matplotlib和线程上有很多问题,而且pyplot也不是线程.然而,我无法找到关于这个特定问题的任何内容.我想要做的是:绘制一个数字并每秒更新一次.为此,我想创建一个线程,但到目前为止,我甚至无法从线程中获得真实的情节.此外,我坚持使用qt4,因此可能是其他后端表现不同.

这是一个非常简单的例子:创建了一个图plot_a_graph().从主程序调用时,这可以正常工作,但会延迟主代码的进一步执行.但是,从线程调用时,不会显示任何图形.

import matplotlib
matplotlib.use("qt4agg")
import matplotlib.pyplot as plt
import threading
import time

def plot_a_graph():
    f,a = plt.subplots(1)
    line = plt.plot(range(10))
    plt.show()
    print "plotted graph"    
    time.sleep(4)


testthread = threading.Thread(target=plot_a_graph)

plot_a_graph()      # this works fine, displays the graph and waits
print "that took some time"

testthread.start() # Thread starts, window is opened but no graph appears
print "already there"

谢谢你的帮助

我正在一个线程中从套接字读取数据,并希望在新数据到达时绘制和更新绘图.我编写了一个小型原型来模拟事物,但它不起作用:

import pylab
import time
import threading
import random

data = []

# This just simulates reading from a socket.
def data_listener():
    while True:
        time.sleep(1)
        data.append(random.random())

if __name__ == '__main__':
    thread = threading.Thread(target=data_listener)
    thread.daemon = True
    thread.start()

    pylab.figure()

    while True:
        time.sleep(1)
        pylab.plot(data)
        pylab.show() # This blocks :(