如何实时自动缩放图表的 y 轴和 x 轴 python
How to Auto scale y and x axis of a graph in real time python
我修改了本教程的代码以创建我自己的实时绘图：
我需要实时绘制接近传感器的数据，数据通过USB线发送到电脑，我用串口读取，所以代码已经按照我想要的方式运行了，但是我还想修改 y 轴和 x 轴，不要让它静止，因为有时峰值是 3000，有时是 2000，当传感器没有被触摸时，峰值在 200 左右，因为它也检测到环境光.有什么线索吗？
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import serial
# Data from serial port
port = 'COM8'
baudrate = 9600
tout = 0.01 # Miliseconds
# Time to update the data of the sensor signal real time Rs=9600baud T=1/Rs
tiempo = (1 / baudrate) * 1000
# Parameters
x_len = 200 # Number of points to display
y_range = [20000, 40000] # Range of Y values to display
# Create figure for plotting
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
xs = list(range(0, x_len))
ys = [0] * x_len
ax.set_ylim(y_range)
# Create a blank line. We will update the line in animate
line, = ax.plot(xs, ys)
# Markers
startMarker = 60 # Start marker "<"
endMarker = 62 # End marker ">"
# Begin Arduino communication, Port COM8, speed 9600
serialPort = serial.Serial(port, baudrate, timeout=tout)
# Begin to save the arduino data
def arduinodata():
global startMarker, endMarker
ck = ""
x = "z" # any value that is not an end- or startMarker
bytecount = -1 # to allow for the fact that the last increment will be one too many
# wait for the start character
while ord(x) != startMarker:
x = serialPort.read()
# save data until the end marker is found
while ord(x) != endMarker:
if ord(x) != startMarker:
ck = ck + x.decode()
bytecount += 1
x = serialPort.read()
return ck
def readarduino():
# Wait until the Arduino sends '<Arduino Ready>' - allows time for Arduino reset
# It also ensures that any bytes left over from a previous message are discarded
msg = ""
while msg.find("<Arduino is ready>") == -1:
while serialPort.inWaiting() == 0:
pass
# delete for example the "\r\n" that may contain the message
msg = arduinodata()
msg = msg.split("\r\n")
msg = ''.join(msg)
# If the sensor send very big numbers over 90000 they will be deleted
if msg and len(msg) <= 5:
msg = int(msg)
return msg
elif msg and len(msg) >= 4:
msg = int(msg)
return msg
# This function is called periodically from FuncAnimation
def animate(i, ys):
# Read pulse from PALS2
pulse = readarduino()
# Add y to list
ys.append(pulse)
# Limit x and y lists to set number of items
ys = ys[-x_len:]
# Update line with new Y values
line.set_ydata(ys)
return line,
# Plot labels
plt.title('Heart frequency vs Time')
plt.ylabel('frequency ')
plt.xlabel('Samples')
# Set up plot to call animate() function periodically
ani = animation.FuncAnimation(fig, animate, fargs=(ys,), interval=tiempo, blit=True)
plt.show()
plt.close()
serialPort.close()
图形是这样的，x 轴和 y 轴始终相同：
如果您想自动缩放 y 轴，那么您只需在 animate() 函数中调整 y 轴范围即可：
def animate(i, ys):
# Read pulse from PALS2
pulse = readarduino()
# Add y to list
ys.append(pulse)
# Limit x and y lists to set number of items
ys = ys[-x_len:]
ymin = np.min(ys)
ymax = np.max(ys)
ax.set_ylim(ymin, ymax)
# Update line with new Y values
line.set_ydata(ys)
return line,
但是，如果您使用blit=True，结果将不是您所期望的。这是因为 blitting 试图只绘制图形中发生变化的部分，而轴上的刻度被排除在外。如果您需要更改限制并因此更改报价，您应该在调用 FuncAnimation 时使用 blit=False。请注意，您会遇到性能问题，因为 matplotlib 必须在每一帧重新绘制整个图，但如果您想更改限制，则没有办法解决。
所以我对这个link的最后一段代码做了一些修改https://www.learnpyqt.com/courses/graphics-plotting/plotting-pyqtgraph/
我可以解决这个问题。 x 和 Y 轴现在自动缩放
import PyQt5
from PyQt5 import QtWidgets, QtCore
from pyqtgraph import PlotWidget, plot
import pyqtgraph as pg
import sys # We need sys so that we can pass argv to QApplication
import os
from random import randint
import serial
class MainWindow(QtWidgets.QMainWindow):
def __init__(self, *args, **kwargs):
super(MainWindow, self).__init__(*args, **kwargs)
self.graphWidget = pg.PlotWidget()
self.setCentralWidget(self.graphWidget)
# Data from serial port
self.port = 'COM8'
self.baudrate = 9600
self.tout = 0.01 # Miliseconds
# Time to update the data of the sensor signal Rs=9600baud T=1/Rs
self.tiempo = (1 / self.baudrate) * 1000
self.x_len = 200
self.x = list(range(0, self.x_len)) # 100 time points
self.y = [0] * self.x_len # 100 data points
self.graphWidget.setBackground('w')
# Markers
self.startMarker = 60 # Start marker "<"
self.endMarker = 62 # End marker ">"
# Begin Arduino communication, Port COM8, speed 9600
self.serialPort = serial.Serial(self.port, self.baudrate, timeout=self.tout)
pen = pg.mkPen(color=(255, 0, 0))
self.data_line = self.graphWidget.plot(self.x, self.y, pen=pen)
self.timer = QtCore.QTimer()
self.timer.setInterval(self.tiempo)
self.timer.timeout.connect(self.update_plot_data)
self.timer.start()
# Begin to save the arduino data
def arduinodata(self):
ck = ""
x = "z" # any value that is not an end- or startMarker
bytecount = -1 # to allow for the fact that the last increment will be one too many
# wait for the start character
while ord(x) != self.startMarker:
x = self.serialPort.read()
# save data until the end marker is found
while ord(x) != self.endMarker:
if ord(x) != self.startMarker:
ck = ck + x.decode()
bytecount += 1
x = self.serialPort.read()
return ck
def readarduino(self):
# Wait until the Arduino sends '<Arduino Ready>' - allows time for Arduino reset
# It also ensures that any bytes left over from a previous message are discarded
msg = ""
while msg.find("<Arduino is ready>") == -1:
while self.serialPort.inWaiting() == 0:
pass
# delete for example the "\r\n" that may contain the message
msg = self.arduinodata()
msg = msg.split("\r\n")
msg = ''.join(msg)
# If the sensor send very big numbers over 90000 they will be deleted
if msg and len(msg) <= 5:
msg = int(msg)
return msg
elif msg and len(msg) >= 4:
msg = int(msg)
return msg
def update_plot_data(self):
pulse = self.readarduino()
self.x = self.x[1:] # Remove the first y element.
self.x.append(self.x[-1] + 1) # Add a new value 1 higher than the last.
self.y = self.y[1:] # Remove the first
self.y.append(pulse) # Add a new random value.
self.data_line.setData(self.x, self.y) # Update the data.
app = QtWidgets.QApplication(sys.argv)
w = MainWindow()
w.show()
sys.exit(app.exec_())
我修改了本教程的代码以创建我自己的实时绘图：
我需要实时绘制接近传感器的数据，数据通过USB线发送到电脑，我用串口读取，所以代码已经按照我想要的方式运行了，但是我还想修改 y 轴和 x 轴，不要让它静止，因为有时峰值是 3000，有时是 2000，当传感器没有被触摸时，峰值在 200 左右，因为它也检测到环境光.有什么线索吗？
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import serial
# Data from serial port
port = 'COM8'
baudrate = 9600
tout = 0.01 # Miliseconds
# Time to update the data of the sensor signal real time Rs=9600baud T=1/Rs
tiempo = (1 / baudrate) * 1000
# Parameters
x_len = 200 # Number of points to display
y_range = [20000, 40000] # Range of Y values to display
# Create figure for plotting
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
xs = list(range(0, x_len))
ys = [0] * x_len
ax.set_ylim(y_range)
# Create a blank line. We will update the line in animate
line, = ax.plot(xs, ys)
# Markers
startMarker = 60 # Start marker "<"
endMarker = 62 # End marker ">"
# Begin Arduino communication, Port COM8, speed 9600
serialPort = serial.Serial(port, baudrate, timeout=tout)
# Begin to save the arduino data
def arduinodata():
global startMarker, endMarker
ck = ""
x = "z" # any value that is not an end- or startMarker
bytecount = -1 # to allow for the fact that the last increment will be one too many
# wait for the start character
while ord(x) != startMarker:
x = serialPort.read()
# save data until the end marker is found
while ord(x) != endMarker:
if ord(x) != startMarker:
ck = ck + x.decode()
bytecount += 1
x = serialPort.read()
return ck
def readarduino():
# Wait until the Arduino sends '<Arduino Ready>' - allows time for Arduino reset
# It also ensures that any bytes left over from a previous message are discarded
msg = ""
while msg.find("<Arduino is ready>") == -1:
while serialPort.inWaiting() == 0:
pass
# delete for example the "\r\n" that may contain the message
msg = arduinodata()
msg = msg.split("\r\n")
msg = ''.join(msg)
# If the sensor send very big numbers over 90000 they will be deleted
if msg and len(msg) <= 5:
msg = int(msg)
return msg
elif msg and len(msg) >= 4:
msg = int(msg)
return msg
# This function is called periodically from FuncAnimation
def animate(i, ys):
# Read pulse from PALS2
pulse = readarduino()
# Add y to list
ys.append(pulse)
# Limit x and y lists to set number of items
ys = ys[-x_len:]
# Update line with new Y values
line.set_ydata(ys)
return line,
# Plot labels
plt.title('Heart frequency vs Time')
plt.ylabel('frequency ')
plt.xlabel('Samples')
# Set up plot to call animate() function periodically
ani = animation.FuncAnimation(fig, animate, fargs=(ys,), interval=tiempo, blit=True)
plt.show()
plt.close()
serialPort.close()
图形是这样的，x 轴和 y 轴始终相同：
如果您想自动缩放 y 轴，那么您只需在 animate() 函数中调整 y 轴范围即可：
def animate(i, ys):
# Read pulse from PALS2
pulse = readarduino()
# Add y to list
ys.append(pulse)
# Limit x and y lists to set number of items
ys = ys[-x_len:]
ymin = np.min(ys)
ymax = np.max(ys)
ax.set_ylim(ymin, ymax)
# Update line with new Y values
line.set_ydata(ys)
return line,
但是，如果您使用blit=True，结果将不是您所期望的。这是因为 blitting 试图只绘制图形中发生变化的部分，而轴上的刻度被排除在外。如果您需要更改限制并因此更改报价，您应该在调用 FuncAnimation 时使用 blit=False。请注意，您会遇到性能问题，因为 matplotlib 必须在每一帧重新绘制整个图，但如果您想更改限制，则没有办法解决。
所以我对这个link的最后一段代码做了一些修改https://www.learnpyqt.com/courses/graphics-plotting/plotting-pyqtgraph/ 我可以解决这个问题。 x 和 Y 轴现在自动缩放
import PyQt5
from PyQt5 import QtWidgets, QtCore
from pyqtgraph import PlotWidget, plot
import pyqtgraph as pg
import sys # We need sys so that we can pass argv to QApplication
import os
from random import randint
import serial
class MainWindow(QtWidgets.QMainWindow):
def __init__(self, *args, **kwargs):
super(MainWindow, self).__init__(*args, **kwargs)
self.graphWidget = pg.PlotWidget()
self.setCentralWidget(self.graphWidget)
# Data from serial port
self.port = 'COM8'
self.baudrate = 9600
self.tout = 0.01 # Miliseconds
# Time to update the data of the sensor signal Rs=9600baud T=1/Rs
self.tiempo = (1 / self.baudrate) * 1000
self.x_len = 200
self.x = list(range(0, self.x_len)) # 100 time points
self.y = [0] * self.x_len # 100 data points
self.graphWidget.setBackground('w')
# Markers
self.startMarker = 60 # Start marker "<"
self.endMarker = 62 # End marker ">"
# Begin Arduino communication, Port COM8, speed 9600
self.serialPort = serial.Serial(self.port, self.baudrate, timeout=self.tout)
pen = pg.mkPen(color=(255, 0, 0))
self.data_line = self.graphWidget.plot(self.x, self.y, pen=pen)
self.timer = QtCore.QTimer()
self.timer.setInterval(self.tiempo)
self.timer.timeout.connect(self.update_plot_data)
self.timer.start()
# Begin to save the arduino data
def arduinodata(self):
ck = ""
x = "z" # any value that is not an end- or startMarker
bytecount = -1 # to allow for the fact that the last increment will be one too many
# wait for the start character
while ord(x) != self.startMarker:
x = self.serialPort.read()
# save data until the end marker is found
while ord(x) != self.endMarker:
if ord(x) != self.startMarker:
ck = ck + x.decode()
bytecount += 1
x = self.serialPort.read()
return ck
def readarduino(self):
# Wait until the Arduino sends '<Arduino Ready>' - allows time for Arduino reset
# It also ensures that any bytes left over from a previous message are discarded
msg = ""
while msg.find("<Arduino is ready>") == -1:
while self.serialPort.inWaiting() == 0:
pass
# delete for example the "\r\n" that may contain the message
msg = self.arduinodata()
msg = msg.split("\r\n")
msg = ''.join(msg)
# If the sensor send very big numbers over 90000 they will be deleted
if msg and len(msg) <= 5:
msg = int(msg)
return msg
elif msg and len(msg) >= 4:
msg = int(msg)
return msg
def update_plot_data(self):
pulse = self.readarduino()
self.x = self.x[1:] # Remove the first y element.
self.x.append(self.x[-1] + 1) # Add a new value 1 higher than the last.
self.y = self.y[1:] # Remove the first
self.y.append(pulse) # Add a new random value.
self.data_line.setData(self.x, self.y) # Update the data.
app = QtWidgets.QApplication(sys.argv)
w = MainWindow()
w.show()
sys.exit(app.exec_())