Created
March 5, 2014 19:20
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plotting data from serial port with matplotlib
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import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.animation as animation | |
import serial | |
fig, ax = plt.subplots() | |
line, = ax.plot(np.random.rand(10)) | |
ax.set_ylim(-5000, 5000) | |
xdata, ydata = [0]*100, [0]*100 | |
raw = serial.Serial("/dev/ttyUSB1",9600) | |
raw.open() | |
def update(data): | |
line.set_ydata(data) | |
return line, | |
def run(data): | |
t,y = data | |
del xdata[0] | |
del ydata[0] | |
xdata.append(t) | |
ydata.append(y) | |
line.set_data(xdata, ydata) | |
return line, | |
def data_gen(): | |
t = 0 | |
while True: | |
t+=0.1 | |
try: | |
dat = int(raw.readline()) | |
except: | |
dat = 0 | |
yield t, dat | |
ani = animation.FuncAnimation(fig, run, data_gen, interval=0, blit=True) | |
plt.show() |
what if I need a y scale that goes from 0 0.1 0.2 0.3 to 13 ?
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It seems that updating data by one line and updating the plot by one frame is linked. That way, it won't work for data rate > max frame rate, which is rather slow compared to other solutions using plt.ion(). It might be an inherent problem with animation.FuncAnimation(), as I havn't seen a working solution yet.
P.S.: A working solution with animation.FuncAnimation() and threads on reddit.