简介
通过定时器Timer触发事件,定时更新绘图,可以形成动态更新图片。下面的实例是学习《matplotlib for python developers》一文的笔记。
实现
实现代码及简单介绍
通过self.user = self.user[1:] + [temp],每次删除列表的第一元素,在其尾部添加新的元素。这样完成user数据的动态更新。其他详细的解释见文中的注释部分。
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
|
#-*-coding:utf-8-*- import wx from matplotlib.figure import Figure import matplotlib.font_manager as font_manager import numpy as np from matplotlib.backends.backend_wxagg import \ FigureCanvasWxAgg as FigureCanvas # wxWidgets object ID for the timer TIMER_ID = wx.NewId() # number of data points POINTS = 300 class PlotFigure(wx.Frame): """Matplotlib wxFrame with animation effect""" def __init__( self ): wx.Frame.__init__( self , None , wx.ID_ANY, title = "CPU Usage Monitor" , size = ( 600 , 400 )) # Matplotlib Figure self .fig = Figure(( 6 , 4 ), 100 ) # bind the Figure to the backend specific canvas self .canvas = FigureCanvas( self , wx.ID_ANY, self .fig) # add a subplot self .ax = self .fig.add_subplot( 111 ) # limit the X and Y axes dimensions self .ax.set_ylim([ 0 , 100 ]) self .ax.set_xlim([ 0 , POINTS]) self .ax.set_autoscale_on( False ) self .ax.set_xticks([]) # we want a tick every 10 point on Y (101 is to have 10 self .ax.set_yticks( range ( 0 , 101 , 10 )) # disable autoscale, since we don't want the Axes to ad # draw a grid (it will be only for Y) self .ax.grid( True ) # generates first "empty" plots self .user = [ None ] * POINTS self .l_user, = self .ax.plot( range (POINTS), self .user,label = 'User %' ) # add the legend self .ax.legend(loc = 'upper center' , ncol = 4 , prop = font_manager.FontProperties(size = 10 )) # force a draw on the canvas() # trick to show the grid and the legend self .canvas.draw() # save the clean background - everything but the line # is drawn and saved in the pixel buffer background self .bg = self .canvas.copy_from_bbox( self .ax.bbox) # bind events coming from timer with id = TIMER_ID # to the onTimer callback function wx.EVT_TIMER( self , TIMER_ID, self .onTimer) def onTimer( self , evt): """callback function for timer events""" # restore the clean background, saved at the beginning self .canvas.restore_region( self .bg) # update the data temp = np.random.randint( 10 , 80 ) self .user = self .user[ 1 :] + [temp] # update the plot self .l_user.set_ydata( self .user) # just draw the "animated" objects self .ax.draw_artist( self .l_user) # It is used to efficiently update Axes data (axis ticks, labels, etc are not updated) self .canvas.blit( self .ax.bbox) if __name__ = = '__main__' : app = wx.PySimpleApp() frame = PlotFigure() t = wx.Timer(frame, TIMER_ID) t.Start( 50 ) frame.Show() app.MainLoop() |
运行结果如下所示:
疑问
但程序运行在关闭的时候会出现应用程序错误,不知道什么问题。python不是有垃圾回收机制吗,难道是内存泄露?
猜测的原因可能是在关闭的时候正在绘图故导致应用程序出错。通过添加Frame的析构函数,停止更新则不会出现问题。
1
2
|
def __del__( self ): t.Stop() |
总结
以上就是本文关于python之matplotlib学习绘制动态更新图实例代码的全部内容,希望对大家有所帮助。感兴趣的朋友可以继续参阅本站其他相关专题,如有不足之处,欢迎留言指出。感谢朋友们对本站的支持!
原文链接:http://blog.csdn.net/kkxgx/article/details/6857112