python 读取目录下csv文件并绘制曲线v111的方法

 # -*- 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 V1.1.1 get all filenames in shortout dir choose one to analysis """ # coding: utf-8 import time import string import os import math import pylab import csv 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 pause = False linenum=0 fileList=[]  #待处理文件路径 for filename in os.listdir(r'D:\shortout'): pa='D:\shortout\%s'%filename fileList.append(pa) #for files in range(0,len(fileList)): metric = genfromtxt(fileList[0], delimiter=',') lines=len(metric) #print len(metric) #print len(metric[4]) #print metric[4] rowda<span style="color:transparent">来源gaodai#ma#com搞*!代#%^码$网</span>tas=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() ##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] ) #plt.ion() #fig, ax = plt.subplots() #line, = ax.plot(listdata[4],lw=2) #ax.grid() fig = plt.figure() ax = fig.add_subplot(111) line, = ax.plot(listdata[4],lw=2 ) # I'm still not clear on this stucture... 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 onClick(event): global pause pause ^= True print 'user click the mouse!' print 'you pressed', event.button, event.xdata, event.ydata # event.button=1 鼠标左键按下 2 中键按下 3 右键按下 def getData(): global listdata global linenum t = 0 while t <len(listdata[4]): if not pause: linenum=linenum+1 yield listdata[linenum-1] # while t <len(listdata[4]): #  t = t + 1 #  print t,t #  yield t, t def update(data): global linenum line.set_ydata(data) time_text.set_text(time_template % (linenum)) 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, fig.canvas.mpl_connect('button_press_event', onClick) ani = animation.FuncAnimation(fig, update , getData , blit=False, interval=1*1000,init_func=init,repeat=False) plt.show() #my_data = genfromtxt('D:\export.csv', delimiter=',') #rgbdata=my_data、255 #plt.figure(figsize=(38,38), dpi=80) # #for index in range(3): # row9=rgbdata[:,index] # print "row %d size is\n"%(index) # plt.plot(row9 ) # plt.xlabel('time') # plt.ylabel('value') # plt.title("USBHID data analysis") # plt.legend() ## plt.cla() ## plt.clf() #plt.show() #plt.figure(1) #plt.imshow(rgbdata, interpolation='nearest') #plt.grid(True) #fig = plt.figure() # 新图 0 #plt.savefig() # 保存 #plt.close('all') # 关闭图 0