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)
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