matplot 动态绘图 动画举例

时间：2022-12-21 08:50:39


10个随机数


 # -*- coding: utf-8 -*-  
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.animation as animation 
fig = plt.figure() 
axes1 = fig.add_subplot(111) 
line, = axes1.plot(np.random.rand(10)) 
#因为update的参数是调用函数data_gen,
#所以第一个默认参数不能是framenum 
def update(data): 
  line.set_ydata(data) 
  return line, 
# 每次生成10个随机数据 
def data_gen(): 
  while True: 
    yield np.random.rand(10) 
ani = animation.FuncAnimation(fig, update, data_gen, interval=2*1000)
plt.show()


带暂停

import matplotlib.pyplot as plt  
import numpy as np  
import matplotlib.animation as animation  

pause = False  
def simData():  
    t_max = 10.0  
    dt = 0.05  
    x = 0.0  
    t = 0.0  
    while t < t_max:  
        if not pause:  
            x = np.sin(np.pi*t)  
            t = t + dt  
        yield t, x  

def onClick(event):  
    global pause  
    pause ^= True  

def simPoints(simData):  
    t, x = simData[0], simData[1]  
    time_text.set_text(time_template%(t))  
    line.set_data(t, x)  
    return line, time_text  

fig = plt.figure()  
ax = fig.add_subplot(111)  
line, = ax.plot([], [], 'bo', ms=10) # I'm still not clear on this stucture...  
ax.set_ylim(-1, 1)  
ax.set_xlim(0, 10)  

time_template = 'Time = %.1f s'    # prints running simulation time  
time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)  
fig.canvas.mpl_connect('button_press_event', onClick)  
ani = animation.FuncAnimation(fig, simPoints, simData, blit=False, interval=10,  
    repeat=True)  
plt.show()


从csv导入 带暂停

# -*- 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


pause  = False
linenum=0

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()


##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





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