I need to plot in realtime a series floating point numbers from the serial port. These values are sepparated by the '\n' character, so the data sequence is something like this: x1 x2 x3 ...
How would you plot the data?
I am using an Arduino board, the data rate is 200 samples/s, and my PC is running on Windows7 64 bits.
I think a good choice is use the pyqtgraph library. I started to use the Plotting.py example in pyqtgraph (plenty more examples available after installing pyqtgraph and then running python3 -m pyqtgraph.examples), but I don't know how to adapt this code for my needs (see below).
Thank you very much in advance.
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
# Set graphical window, its title and size
win = pg.GraphicsWindow(title="Sample process")
win.resize(1000,600)
win.setWindowTitle('pyqtgraph example')
# Enable antialiasing for prettier plots
pg.setConfigOptions(antialias=True)
# Random data process
p6 = win.addPlot(title="Updating plot")
curve = p6.plot(pen='y')
data = np.random.normal(size=(10,1000)) # If the Gaussian distribution shape is, (m, n, k), then m * n * k samples are drawn.
# plot counter
ptr = 0
# Function for updating data display
def update():
global curve, data, ptr, p6
curve.setData(data[ptr%10])
if ptr == 0:
p6.enableAutoRange('xy', False) ## stop auto-scaling after the first data set is plotted
ptr += 1
# Update data display
timer = QtCore.QTimer()
timer.timeout.connect(update)
timer.start(50)
## Start Qt event loop unless running in interactive mode or using pyside.
if __name__ == '__main__':
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()
data. That's a part of your task, of course, but what about the data stream from the Arduino? How is it formatted and how do you propose to parse it into numbers? Until you address that, there is very little that anyone can say.