Python processes csv data and dynamically displays the curve instance code, pythoncsv

Python processes csv data and dynamically displays the curve instance code, pythoncsv

This article mainly deals with the python processing of csv Data Dynamic Display curves 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 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 [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 the parameter is list, one element in the list is retrieved by default, that is, 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' input 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 analytic') return line, ani = animation. funcAnimation (fig, update, listdata, interval = 1*1000, init_func = init, repeat = False) plt. show ()

Summary

The above is all about the sample code for processing csv data in python and dynamically displaying curves. I hope it will be helpful to you. If you are interested, you can continue to refer to other related topics on this site. If you have any shortcomings, please leave a message. Thank you for your support!