使用 matplotlib 将 networkx 图嵌入到 wxPython 中

我用 networkx 创建了一个图表。

G=nx.DiGraph()

# ... building the graph ...
# and I can display it with matplotlib like this:

nx.draw(G)
matplotlib.pyplot.show()

但我想做的是，从下面的示例开始，将创建的图嵌入到 wxPython 中。一开始我只想打印它；根本没有用户交互。

from numpy import arange, sin, pi
import matplotlib
matplotlib.use('WXAgg')

from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure

import wx

class CanvasPanel(wx.Panel):
    def __init__(self, parent):
        wx.Panel.__init__(self, parent)
        self.figure = Figure()
        self.axes = self.figure.add_subplot(111)
        self.canvas = FigureCanvas(self, -1, self.figure)
        self.sizer = wx.BoxSizer(wx.VERTICAL)
        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
        self.SetSizer(self.sizer)
        self.Fit()

    def draw(self):
        t = arange(0.0, 3.0, 0.01)
        s = sin(2 * pi * t)
        self.axes.plot(t, s)


if __name__ == "__main__":
    app = wx.PySimpleApp()
    fr = wx.Frame(None, title='test')
    panel = CanvasPanel(fr)
    panel.draw()
    fr.Show()
    app.MainLoop()

有人可以给我提示吗？

解决方法：将 networkx 图表导出为 png 并使用 imread 绘制它。

plt.axis("off") # turn off axis
# output to a temporary file name and display it in matplotlib     
filename = "/tmp/image.png"
plt.savefig(filename, dpi=400, bbox_inches='tight') 
img = imread(filename)
self.axes.imshow(img)