python如何读取目录下csv文件并绘制曲线v111
这篇文章主要介绍python如何读取目录下csv文件并绘制曲线v111,文中介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们一定要看完!
实例如下:
# -*- 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] 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() ##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
python的数据类型有哪些?
python的数据类型:1. 数字类型,包括int(整型)、long(长整型)和float(浮点型)。2.字符串,分别是str类型和unicode类型。3.布尔型,Python布尔类型也是用于逻辑运算,有两个值:True(真)和False(假)。4.列表,列表是Python中使用最频繁的数据类型,集合中可以放任何数据类型。5. 元组,元组用”()”标识,内部元素用逗号隔开。6. 字典,字典是一种键值对的集合。7. 集合,集合是一个无序的、不重复的数据组合。
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