python processes csv data to dynamically display curve instance code

This paper mainly studies python's processing of csv data dynamic display curve, and shares the implementation code, as follows.

Code:

# -*- 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 
## If theta is the parameter is theta list, Defaults to each fetch list In the 1 An element , namely 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' Enter any character to continue : ') 
  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()  

conclusion

That's the end of this article on python's handling of csv data dynamic display curve example code, I hope to help you. Interested friends can continue to refer to other related topics in this site, if there is any deficiency, welcome to comment out. Thank you for your support!