python之matplotlib学习绘制动态更新图实例代码

#-*-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,    # 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() 

def __del__( self ):   t.Stop()