如何在python中绘制二进制数据？

Question

首先我知道我的问题经常被问到。但我没有在其中找到解决方案。

我使用 USBTMC 来控制示波器。 Here 你可以找到更多关于它的信息。我能够捕获屏幕并将其写入文件（见图）。但我想每隔n 秒实时绘制屏幕。例如，我想使用matplotlib.pyplot。

这是我的代码（拼命尝试用pyplot 绘制数据）：

import usbtmc
from time import sleep 
import matplotlib.pyplot as plot
import numpy as np
import subprocess

maxTries = 3

scope = usbtmc.Instrument(0x0699, 0x03a6)
print scope.ask("*IDN?")

scope.write("ACQ:STOPA SEQ")
scope.write("ACQ:STATE ON")

while ( True ):
  #get trigger state  
  trigState = scope.ask("TRIG:STATE?")
  #check if Acq complete 
  if ( trigState.endswith('SAVE') ):
    print 'Acquisition complete. Writing into file ...'
    #save screen
    scope.write("SAVE:IMAG:FILEF PNG")
    scope.write("HARDCOPY START")

    #HERE I get binary data
    screenData = scope.read_raw()

    #HERE I try to convert it?
    strData = np.fromstring( screenData, dtype=np.uint8 )

    #HERE I try to plot previous
    plot.plot( strData )
    plot.show()

    #rewrite in file (this works fine) 
    try:
      outFile = open("screen.png", "wb")
      outFile.write( screenData )
    except IOError:
      print 'Error: cannot write to file'
    else:
      print 'Data was written successfully in file: ', outFile.name
    finally:
      outFile.close()
 #continue doing something

运行此代码后，我得到...看看图片。

Answer 1

很遗憾，我无法对其进行测试，但您可以尝试类似的方法

import io

screenData = scope.read_raw()
arrayData = plt.imread(io.BytesIO(screenData))
plt.imshow(arrayData)
plt.show()

我想指出，对于实时绘图，最好不要从示波器屏幕获取图像，而是从原始数据获取。这应该允许更快的操作。