如何解决串行通信中的这种绘图问题? [英] How to solve this plotting problem in serial communication?

问题描述

下面是简单的代码:

#import 序列号从 tkinter 导入 *从 matplotlib 导入 pyplot 作为 plt导入matplotlib.animation作为动画从matplotlib导入样式从matplotlib.backends.backend_tkagg导入FigureCanvasTkAgg导入序列无花果 = plt.gcf()图.show()fig.canvas.draw()ser = serial.Serial('COM35'，115200，超时= .1)为真:数据= ser.readline()打印(数据)plt.plot(数据)fig.canvas.draw()

现在当我运行它时，我得到了这样的东西..in pic
并且数据值是这样的

但是我需要输出类似这样的东西(它是连续的图)..

但在将 list 关键字添加到 list(ser.readline()) 后，我收到此错误..

解决方案

此答案不如使用

您可以通过彩色线段看到哪些数据已添加在一起.

Here this simple code:

#import serial
from tkinter import *
from matplotlib import pyplot as plt
import matplotlib.animation as animation
from matplotlib import style
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import serial

fig = plt.gcf()
fig.show()
fig.canvas.draw()



ser = serial.Serial('COM35', 115200, timeout=.1)
while True:
  data = ser.readline()
  print(data)
  plt.plot(data)
  fig.canvas.draw()

now when i run this i'm getting something like this..in pic
and the data values are like this

but i need output something like this (which is continuous graph)..

but after adding the list key word on to the list(ser.readline()) I get this error..

解决方案

This answer is not as elegant as using the animation-api - but it works.

You have to adapt quite a lot - for sake of giving a Minimal, Complete, and Verifiable example I had to implement my own "serial" dataprovider:

from itertools import cycle 
data = [0,0,0,0,0,0,0,0,0,2,25,64,92,119,132,139,124,123,103,71,38,3]
cyc = cycle(data)

def serial():
    from random import randint
    def create_data():
        for k in range(randint(2,3)): 
            yield next(cyc) 
    return list(create_data())

One way to solve it:

You need to get the the axes of your plot as well to adjust the "area" that is shown, then you need to supply correct x-values as "time" and the y-values as reading from serial (you can increment a "how many data received" variable on each draw for the time):

from tkinter import *
from matplotlib import pyplot as plt 


fig, ax = plt.subplots() 
ax.set_ylim(-200, 200)
ax.set_xlim(0,110)
fig.show()
fig.canvas.draw() 

time = 0
last = 0
while True:
    # "animate" x-axis
    if time > 100:
        ax.set_xlim(time-100,time+10)
    data = serial()
    print(data)
    # add the last datapoint again so you get a continuous curve
    plt.plot([time-1]+[time+x for x in range(len(data))], [last]+data)
    # increment time
    time += len(data)
    # remember last data-value
    last = data[-1]
    fig.canvas.draw()

To get (text output omitted - it just repeats the data from above differently chunked):

You can see by the colored line-segments which data was added together.

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