Created
November 13, 2013 14:07
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Matplotlib live plot animation without blitting
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| import pylab as plt | |
| import numpy as np | |
| import pandas as pd | |
| import random | |
| import time | |
| start = time.time() | |
| frames = pd.DataFrame([0], [0.0], ['data']) | |
| plt.ion() | |
| graph = plt.plot(frames.index, frames.data)[0] | |
| diffs = [] | |
| while True: | |
| newframe = pd.DataFrame([random.random()], [time.time()-start], ['data']) | |
| frames = frames.append(newframe) | |
| print len(frames) | |
| graph.set_ydata(frames.data) | |
| graph.set_xdata(frames.index) | |
| plt.xlim(0, frames.index[-1]) | |
| plt.ylim(min(frames.data), max(frames.data)) | |
| plt.draw() | |
| if len(frames) > 0 and len(frames) % 250 == 0: | |
| thing = np.array(frames.index) | |
| thing = 1.0/np.diff(thing) | |
| diffs.append(thing) | |
| if len(frames) > 2000: | |
| break | |
| plt.figure() | |
| plt.ioff() | |
| plt.hold(True) | |
| for thing in diffs: | |
| plt.hist(thing, bins=40, alpha=0.6) | |
| legend = [] | |
| idx = 0 | |
| for thing in diffs: | |
| legend.append("rate"+str(idx)) | |
| idx += 1 | |
| plt.legend(legend) | |
| plt.show() |
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