用matplotlib将networkx图嵌入到wxPython

用matplotlib将networkx图嵌入到wxPython

本文介绍了使用matplotlib将networkx图嵌入到wxPython中的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我已经用networkx创建了一个图形.

I've created a graph with networkx.

G=nx.DiGraph()

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

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

但是我想做的是,从下面的示例开始,将创建的图形嵌入到wxPython中.首先,我只想打印它;完全没有用户交互.

But what I would like to do is, starting from the following example, to embed the created graph into wxPython. For the beginning I would like just to print it; no user interaction at all.

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()

有人可以给我小费吗?

推荐答案

解决方法:将networkx图形导出为png并使用imread进行绘制.

Workaround: export the networkx graph as a png and plot it using imread.

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)

这篇关于使用matplotlib将networkx图嵌入到wxPython中的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

09-05 04:21