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ringBufferGraph.py
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ringBufferGraph.py
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import matplotlib.pylab as plt
import random, math, time
import numpy as np
class RingBuffer:
def __init__(self, size):
self.data = [0 for i in range(size)]
def append(self, x):
self.data.pop(0)
self.data.append(x)
def get(self):
return self.data
CHUNK = 100 # x axis length ( data points)
data = RingBuffer(CHUNK) # define the arrays (lines to the graph)
data2 = RingBuffer(CHUNK)
data3 = RingBuffer(CHUNK)
fig,ax = plt.subplots()
x = np.arange(0,2*CHUNK,2)
line1, = ax.plot(x, np.random.rand(CHUNK), 'r') #initialise the graph lines
line2, = ax.plot(x, np.random.rand(CHUNK), 'b')
line3, = ax.plot(x, np.random.rand(CHUNK), 'g')
ax.set_ylim(-5,5)
ax.set_xlim(0,CHUNK)
fig.show()
i =0
while 1:
line1.set_ydata(data.get()) # add the lines to graph
line2.set_ydata(data2.get())
line3.set_ydata(data3.get())
fig.canvas.draw()
fig.canvas.flush_events()
#time.sleep(0.1) #if need the graph refeash rate
i+=1
data.append((random.random()-0.5)*10) # update the arrays with new value
data2.append(math.sin(0.02*math.pi*i*10))
data3.append(2*math.cos(0.02*math.pi*i*10))