Hi,
I managed to figure this out. I need to pass an init function to
FuncAnimation. Quoting from the MatPlotLib API documentation:
*init_func* is a function used to draw a clear frame. If not given, the
results of drawing from the first item in the frames sequence will be used.
So just in case someone has the same problem, here's the correct code:
import matplotlib
import numpy as np
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
import matplotlib.animation as animation
class Scope:
def __init__(self, ax, maxt=10, dt=1):
self.ax = ax
self.dt = dt
self.maxt = maxt
self.tdata = [0]
self.ydata = [0]
self.line = Line2D(self.tdata, self.ydata, marker='o')
self.ax.add_line(self.line)
self.ax.set_ylim(0, 200)
self.ax.set_xlim(0, self.maxt)
self.ax.set_xlabel("Time(s)")
self.ax.set_ylabel("Jitter Buffer Size(ms)",
color=self.line.get_color())
def init(self):
self.line.set_data([], [])
return self.line,
def update(self, y):
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()
t = self.tdata[-1] + self.dt
self.tdata.append(t)
self.ydata.append(y)
self.line.set_data(self.tdata, self.ydata)
return self.line,
def emitter():
while True:
yield np.random.randint(0,200)
fig = plt.figure()
ax = fig.add_subplot(111)
scope = Scope(ax)
# pass a generator in "emitter" to produce data for the update func
ani = animation.FuncAnimation(fig, scope.update, emitter, interval=1000,
blit=True, init_func=scope.init)
plt.show()
Best Regards,
Clare.
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