Hello.

I'm searching for a method to show a stream of data on a graph. So far

I've only managed to get the stream on a regular graph but the data

bandwidth is very high (100 samples/sec) and the usual graph doesn't

handle redrawing so good.

I was searching for a way to utilize the animation functionality of

matplotlib but found only some Tk examples (with very smooth refresh

rate).

But I couldn't modify the source to create the same effect using the Gtk

+ front-end. The problem is that I don't know how to integrate the graph

into the Glib main loop.

Please help.

This is an example I found o the net:

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import matplotlib

matplotlib.use('TkAgg') # do this before importing pylab

import matplotlib.pyplot as plt

import random

fig = plt.figure()

ax = fig.add_subplot(111)

x = range(30)

y = [random.random() for i in x]

line, = ax.plot(x,y)

def animate(*args):

n = len(y)

while True:

data = random.random()

y.append(data)

n += 1

line.set_data(range(n-30, n), y[-30:])

ax.set_xlim(n-31, n-1)

fig.canvas.draw()

fig.canvas.manager.window.after(100, animate)

plt.show()

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