使用pyqtgraph进行python实时绘图

Question

我需要实时绘制来自串行端口的一系列浮点数。这些值由'\ n'字符分隔，因此数据序列如下所示：x1 x2 x3 ...

您将如何绘制数据？ 我正在使用Arduino板，数据速率为200个样本/秒，并且我的PC在Windows7 64位上运行。我认为一个不错的选择是使用pyqtgraph库。我开始在pyqtgraph中使用Plotting.py示例（在安装pyqtgraph然后运行之后，可以使用更多示例python3 -m pyqtgraph.examples），但是我不知道如何根据我的需要调整此代码（请参见下文）。提前非常感谢您。

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_()

Answer 1

这是正常工作的代码。主要过程包含在update（）函数中。它从串行端口读取输入值，更新数组Xm（包含输入值），然后更新其关联的曲线。

张贴此代码是为了简单起见，并且仅适用于低数据速率（少于100个样本/秒）。为了获得更高的数据速率，应在update（）函数中进行如下修改。应该从串行端口读取一组值（而不是单个值）。然后，应将此集合附加到数组Xm

希望这个答案对您有用，也非常感谢您的帮助！

# Import libraries
from numpy import *
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
import serial

# Create object serial port
portName = "COM12"                      # replace this port name by yours!
baudrate = 9600
ser = serial.Serial(portName,baudrate)

### START QtApp #####
app = QtGui.QApplication([])            # you MUST do this once (initialize things)
####################

win = pg.GraphicsWindow(title="Signal from serial port") # creates a window
p = win.addPlot(title="Realtime plot")  # creates empty space for the plot in the window
curve = p.plot()                        # create an empty "plot" (a curve to plot)

windowWidth = 500                       # width of the window displaying the curve
Xm = linspace(0,0,windowWidth)          # create array that will contain the relevant time series     
ptr = -windowWidth                      # set first x position

# Realtime data plot. Each time this function is called, the data display is updated
def update():
    global curve, ptr, Xm    
    Xm[:-1] = Xm[1:]                      # shift data in the temporal mean 1 sample left
    value = ser.readline()                # read line (single value) from the serial port
    Xm[-1] = float(value)                 # vector containing the instantaneous values      
    ptr += 1                              # update x position for displaying the curve
    curve.setData(Xm)                     # set the curve with this data
    curve.setPos(ptr,0)                   # set x position in the graph to 0
    QtGui.QApplication.processEvents()    # you MUST process the plot now

### MAIN PROGRAM #####    
# this is a brutal infinite loop calling your realtime data plot
while True: update()

### END QtApp ####
pg.QtGui.QApplication.exec_() # you MUST put this at the end
##################