Line, = ot_date(x_data, y_data, '-')Īnimation = FuncAnimation(figure, update, interval=200) It plots current time with a random number in [0, 100) every 200ms infinitely, while also handling auto rescaling of the view: from datetime import datetimeįrom matplotlib.animation import FuncAnimation TL DR: you may want to use matplotlib.animation ( as mentioned in documentation).Īfter digging around various answers and pieces of code, this in fact proved to be a smooth way of drawing incoming data infinitely for me.
#LIVE SOUND STAGE PLOT IMAGES UPDATE#
It is not only slow, but also causes focus to be grabbed upon each update (I had a hard time stopping the plotting python process). The top (and many other) answers were built upon plt.pause(), but that was an old way of animating the plot in matplotlib. You should get a beautiful, smoothly moving graph:
#LIVE SOUND STAGE PLOT IMAGES CODE#
Copy-paste this code in a new python-file, and run it. tStyle(QStyleFactory.create('Plastique')) MySrc.data_signal.emit(y) # <- Here you emit a signal! # Believe me, if you don't do this right, things # send data to your GUI in a thread-safe way. # You need to setup a signal slot mechanism, to Self.line1_t_data(np.append(self.n, self.n), np.append(self.y, self.y))
# Extends the _step() method for the TimedAnimation class. TimedAnimation._init_(self, self.fig, interval = 50, blit = True) Self.line1_head = Line2D(,, color='red', marker='o', markeredgecolor='r') Self.line1_tail = Line2D(,, color='red', linewidth=2) Self.n = np.linspace(0, self.xlim - 1, self.xlim) MyDataLoop = threading.Thread(name = 'myDataLoop', target = dataSendLoop, daemon = True, args = (self.addData_callbackFunc,))Ĭlass CustomFigCanvas(FigureCanvas, TimedAnimation): Self.LAYOUT_A.addWidget(self.myFig, *(0,1)) Self.LAYOUT_A.addWidget(self.zoomBtn, *(0,0)) Self.zoomBtn = QtGui.QPushButton(text = 'zoom') X.setMaximumSize(QtCore.QSize(width, height))Ĭlass CustomMainWindow(QtGui.QMainWindow): X.setMinimumSize(QtCore.QSize(width, height)) tHeightForWidth(x.sizePolicy().hasHeightForWidth()) # EMBED A MATPLOTLIB ANIMATION INSIDE YOUR #įrom matplotlib.animation import TimedAnimationįrom _qt4agg import FigureCanvasQTAgg as FigureCanvas For example: Rachel - drum set, microphones for kick and snare. That will be enough for most of your small gigs. Nevertheless, I've made some code a while ago to plot live graphs, that I would like to share:Ĭode for PyQt4: # If you can’t create a stage plot, just try to do the following: Simply write the number of people in your band and how many amplifiers, instruments, microphones you have got and how they are connected. I know I'm a bit late to answer this question. Str(doblit), niter / (time.time() - tic)) alpha) * gen.randn(2, n) * sigma + alpha * old_deltaĭisplay the simulation using matplotlib, optionally using blit for speedīackground = _from_bbox(ax.bbox) In particular, using blit to avoid redrawing the background on every frame can give you substantial speed gains (~10x): #!/usr/bin/env pythonĭef randomwalk(dims=(256, 256), n=20, sigma=5, alpha=0.95, seed=1):ĭelta = (1. If you're interested in realtime plotting, I'd recommend looking into matplotlib's animation API.
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