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