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Realtime plotting with Matplotlib.
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#!/usr/bin/env python3 | |
import time, random | |
import math | |
from collections import deque | |
start = time.time() | |
class RealtimePlot: | |
def __init__(self, axes, max_entries = 100): | |
self.axis_x = deque(maxlen=max_entries) | |
self.axis_y = deque(maxlen=max_entries) | |
self.axes = axes | |
self.max_entries = max_entries | |
self.lineplot, = axes.plot([], [], "ro-") | |
self.axes.set_autoscaley_on(True) | |
def add(self, x, y): | |
self.axis_x.append(x) | |
self.axis_y.append(y) | |
self.lineplot.set_data(self.axis_x, self.axis_y) | |
self.axes.set_xlim(self.axis_x[0], self.axis_x[-1] + 1e-15) | |
self.axes.relim(); self.axes.autoscale_view() # rescale the y-axis | |
def animate(self, figure, callback, interval = 50): | |
import matplotlib.animation as animation | |
def wrapper(frame_index): | |
self.add(*callback(frame_index)) | |
self.axes.relim(); self.axes.autoscale_view() # rescale the y-axis | |
return self.lineplot | |
animation.FuncAnimation(figure, wrapper, interval=interval) | |
def main(): | |
from matplotlib import pyplot as plt | |
fig, axes = plt.subplots() | |
display = RealtimePlot(axes) | |
display.animate(fig, lambda frame_index: (time.time() - start, random.random() * 100)) | |
plt.show() | |
fig, axes = plt.subplots() | |
display = RealtimePlot(axes) | |
while True: | |
display.add(time.time() - start, random.random() * 100) | |
plt.pause(0.001) | |
if __name__ == "__main__": main() |
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