将matplotlib draw（）应用于特殊CA将窗口解决方案冻结

Question

作为python的新手，我自己遇到了matplotlib draw（）冻结窗口问题，并在这个网站上找到了解决方案：

import matplotlib
matplotlib.use('TkAgg')

from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import random
import numpy as np
import sys
import Tkinter as tk
import time

def function1(fig, ax):
  ax.cla()
  color_grade_classes = ['#80FF00','#FFFF00','#FF8000', '#FF0000']
  varsi =  random.randint(1, 100)

  for colors, rows  in zip(color_grade_classes, [3,2,1,0] ):  
    indexs = np.arange(5)
    heights = [varsi,varsi/2,varsi/3,0,0]
    ax.bar(indexs, heights, zs = rows,  zdir='y', color=colors, alpha=0.8)
  return fig

class App():
    def __init__(self):
        self.root = tk.Tk()
        self.root.wm_title("Embedding in TK")

        self.fig = plt.figure()
        self.ax = self.fig.add_subplot(111, projection='3d')
        self.ax.set_xlabel('X')
        self.ax.set_ylabel('Y')
        self.fig = function1(self.fig, self.ax)

        self.canvas = FigureCanvasTkAgg(self.fig, master=self.root)
        self.toolbar = NavigationToolbar2TkAgg( self.canvas, self.root )
        self.toolbar.update()
        self.canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)

        self.label = tk.Label(text="")
        self.label.pack()
        self.update_clock()
        self.root.mainloop()

    def update_clock(self):
        self.fig = function1(self.fig,self.ax)
        self.canvas.show()
        self.canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
        now = time.strftime("%H:%M:%S")
        self.label.configure(text=now)
        self.root.after(1000, self.update_clock)

app=App()

我的问题是将以下绘图代码合并到其中。它与给出的例子不太一样。不知道如何在函数定义和类声明之间进行拆分。有人能帮我吗？在

^{pr2}$

Answer 1

这似乎有效。 基本上，__init__部分初始化绘图并绘制第一个“框架”。然后每隔1000ms调用一次函数self.update_clock，该函数调用function1()，生成新数据并重新绘制绘图。在

由于您示例中的colorbar，我移动了一些内容，但想法仍然相同。在

import matplotlib
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import random
import numpy as np
import sys
import Tkinter as tk
import time


class App():
def __init__(self):
    self.root = tk.Tk()
    self.root.wm_title("Embedding in TK")

    self.fig = plt.figure()
    self.ax = self.fig.add_subplot(111)
    self.ax.set_xlabel('X')
    self.ax.set_ylabel('Y')
    data = np.random.random((32, 32))
    im = self.ax.imshow(data,cmap=cm.gist_gray, interpolation='none')
    self.cbar = self.fig.colorbar(im)
    self.cbar.update_normal(im)
    self.cbar.set_clim(0, np.amax(data))
    self.fig = self.function1(self.fig, self.ax)

    self.canvas = FigureCanvasTkAgg(self.fig, master=self.root)
    self.toolbar = NavigationToolbar2TkAgg( self.canvas, self.root )
    self.toolbar.update()
    self.canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)

    self.label = tk.Label(text="")
    self.label.pack()
    self.update_clock()
    self.root.mainloop()

def update_clock(self):
    self.fig = self.function1(self.fig,self.ax)
    self.canvas.show()
    self.canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
    now = time.strftime("%H:%M:%S")
    self.label.configure(text=now)
    self.root.after(1000, self.update_clock)

def function1(self, fig, ax):
    ax.cla()
    data = np.random.random((32, 32))
    im = ax.imshow(data,cmap=cm.gist_gray, interpolation='none')
    self.cbar.update_normal(im)
    self.cbar.set_clim(0, np.amax(data))
    return fig

app=App()