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📄 strip_chart_demo.py

📁 非原创。很好的python例子
💻 PY
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"""Emulate an oscilloscope.  Requires the animation API introduced inmatplotlib 0.84.  Seehttp://www.scipy.org/wikis/topical_software/Animations for anexplanation.This example uses gtk but does not depend on it intimately.  It justuses the idle handler to trigger events.  You can plug this into adifferent GUI that supports animation (GTKAgg, TkAgg, WXAgg) and useyour toolkits idle/timer functions."""import gobject, gtkimport matplotlibmatplotlib.use('GTKAgg')import matplotlib.numerix as nxfrom matplotlib.lines import Line2Dclass Scope:    def __init__(self, ax, maxt=10, dt=0.01):        self.ax = ax        self.canvas = ax.figure.canvas        self.dt = dt        self.maxt = maxt        self.tdata = [0]        self.ydata = [0]        self.line = Line2D(self.tdata, self.ydata, animated=True)        self.ax.add_line(self.line)        self.background = None        self.canvas.mpl_connect('draw_event', self.update_background)        self.ax.set_ylim(-.1, 1.1)        self.ax.set_xlim(0, self.maxt)    def update_background(self, event):        self.background = self.canvas.copy_from_bbox(self.ax.bbox)        def emitter(self, p=0.01):        'return a random value with probability p, else 0'        v = nx.mlab.rand(1)        if v>p: return 0.        else: return nx.mlab.rand(1)    def update(self, *args):        if self.background is None: return True        y = self.emitter()        lastt = self.tdata[-1]        if lastt>self.tdata[0]+self.maxt: # reset the arrays             self.tdata = [self.tdata[-1]]            self.ydata = [self.ydata[-1]]            self.ax.set_xlim(self.tdata[0], self.tdata[0]+self.maxt)            self.ax.figure.canvas.draw()                    self.canvas.restore_region(self.background)                t = self.tdata[-1] + self.dt                self.tdata.append(t)        self.ydata.append(y)        self.line.set_data(self.tdata, self.ydata)        self.ax.draw_artist(self.line)        self.canvas.blit(self.ax.bbox)        return Truefrom pylab import figure, showfig = figure()ax = fig.add_subplot(111)scope = Scope(ax)gobject.idle_add(scope.update)show()

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