如何让matplotlib imshow快速更新？

Question

我想快速制作imshow（）函数更新（256 * 873）数组。 set_array（）的速度大约是每秒15次。我希望它可以达到每秒30次左右。有一个使用imshow（）和set_array（）的演示。有人帮忙吗？非常感谢你！

import wx
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure

import numpy as np
TIMER_ID = wx.NewId()


class CanvasFrame(wx.Frame):

def __init__(self):
    wx.Frame.__init__(self, None, -1, 'SinWave', size=(600,600))
    self.figure = Figure()
    self.canvas = FigureCanvas(self, -1, self.figure)
    self.axes = self.figure.add_subplot(111)

    mapdata = np.random.rand(256, 873)

    self.img_artist = self.axes.imshow(mapdata, origin='lower', interpolation='nearest', aspect='auto',extent=[0,873,0,256])
    self.img_artist.set_clim(vmin=0, vmax=1)
    self.timer = wx.Timer(self) # 创建定时器
    self.Bind(wx.EVT_TIMER, self.OnTimer, self.timer)
    self.timer.Start(100) # 设定时间间隔
    self.cnt=0

def OnTimer(self, evt):
    mapdata = np.random.rand(256, 873)
    self.img_artist.set_data(mapdata)
    self.canvas.draw()
    self.cnt +=1
    print self.cnt
    if __name__ == '__main__':
    app = wx.PySimpleApp()
    frame = CanvasFrame()
    frame.Show()
    app.MainLoop()