Question

我正在编写tkinter GUI，我必须＆＃34;显示＆＃34; tkinter GUI窗口上的两个matplot / networkx图。问题是只有一个图表显示而另一个图表没有。 .grid（）方法计算图形的空间，但该空间为空（见图）。你只能看到由ImageCanvasTkAgg（fig，self.master）输出的一个图像，但不能看到FigureCanvasTkAgg（figRed，self.master）输出的图像。这是我的代码（删除不相关的东西，因为有很多代码） image）：

class mdsCube(tk.Frame):
    G = nx.cubical_graph()
    pos = {0: np.array([ 0.82877618,  0.53211873]), 
       1: np.array([ 0.8059564,  0.       ]), 
       2: np.array([ 0.51148475,  0.37349706]), 
       3: np.array([ 0.54462887,  0.89200482]), 
       4: np.array([ 0.31695909,  0.62593525]), 
      5:np.array([ 0.02260257,  1.        ]), 
      6: np.array([ 0.        ,  0.46707769]), 
       7: np.array([ 0.27222528,  0.10714391])}
    WelcomeMessage = "This MDS Algorithm implementation reduces dimensions of a cube to two." \
    " Enter new point coordinates if you want to change cube dimensions."


    def __init__(self, master):
        tk.Frame.__init__(self,master)
        self.master.title("MDS Cube Algorithm")
        self.master.minsize(1000,470)
        #self.master.resizable(False,False)
        Header = tk.Label(self.master,text=self.WelcomeMessage,
                          font=("Times BOLD ITALIC", 16) )
        Header.grid(column=0,row=0,padx=10,pady=10,columnspan=5)
        self.click_ok()


    def getDistanceMatrix(graph):
        pathLengths = bl.dict(nx.all_pairs_dijkstra_path_length(graph))
        df = pd.DataFrame(pathLengths)
        distanceMatrix = df.as_matrix()
        return distanceMatrix

    def graph_node_position_mds(G):
    #if edges of the graph do not have weights, assign 1 as a weight 
        if not hasattr(G.edges(), 'weight'):
            for i in G.edges():
                a = i[0]
                b = i[1]
                G.add_edge(a,b,weight=1)
            DM = getDistanceMatrix(G)
            MDS_ = MDS(n_components=2,dissimilarity='precomputed').fit_transform(DM)
            MDS_dict = {}
            for index, val in enumerate(MDS_):
                MDS_dict[index] = val
        return MDS_dict

    def click_ok(self):

        fig=plt.figure()
        fig.patch.set_facecolor('white')
        nx.draw_networkx_nodes(self.G, self.pos,
                      node_color='b',
                      node_size=500,
                      alpha=1)
        nx.draw_networkx_edges(self.G, self.pos, width=1.0, alpha=0.5)
        Canvas = FigureCanvasTkAgg(fig, self.master)
        Canvas.get_tk_widget().grid(column=3,row=2,rowspan=8)
        plt.plot()

        figRed = plt.figure()
        figRed.patch.set_facecolor('white')
        dictPos = graph_node_position_mds(G)
        nx.draw_networkx_nodes(self.G, dictPos,
                           node_color='r',
                           node_size=500,
                           alpha=1)
        nx.draw_networkx_edges(self.G, dictPos, width=1.0, alpha=0.5)
        CanvasRed = FigureCanvasTkAgg(figRed, self.master)
        CanvasRed.get_tk_widget().grid(column=4, row=2,rowspan=8)
        plt.plot()


if __name__ == '__main__':
    root = tk.Tk()
    window = mdsCube(root)
    window.mainloop()

python tkinter：FigureCanvasTkAgg只在我的tkinter窗口上绘制一个图形

0 个答案: