我试图在python中生成图形的可点击图像。我首先直接调用了graphviz,然后发现了networkx http://networkx.lanl.gov。
我希望我的程序获取有关用户单击图形的(x,y)坐标处显示哪个节点的信息。我想我可以使用打开的pyplot窗口并显示图形,使用鼠标单击时的(x,y)坐标,但我需要某种图像映射来知道哪个节点已在该坐标处可视化!
你能告诉我是否/如何做到这一点?
由于http://groups.google.com/group/networkx-discuss(http://groups.google.com/group/networkx-discuss/browse_thread/thread/aac227e1fb2a4719)的好人,我解决了这个问题:
以下(部分)代码在Tkinter中工作,允许创建包含networkx图的matplotlib窗口(顺便说一下,非阻塞),如果单击给定节点,则执行过程visitNode()。
import networkx as nx
import matplotlib.pyplot as plt
import pylab
class AnnoteFinder: # thanks to http://www.scipy.org/Cookbook/Matplotlib/Interactive_Plotting
"""
callback for matplotlib to visit a node (display an annotation) when points are clicked on. The
point which is closest to the click and within xtol and ytol is identified.
"""
def __init__(self, xdata, ydata, annotes, axis=None, xtol=None, ytol=None):
self.data = zip(xdata, ydata, annotes)
if xtol is None: xtol = ((max(xdata) - min(xdata))/float(len(xdata)))/2
if ytol is None: ytol = ((max(ydata) - min(ydata))/float(len(ydata)))/2
self.xtol = xtol
self.ytol = ytol
if axis is None: axis = pylab.gca()
self.axis= axis
self.drawnAnnotations = {}
self.links = []
def __call__(self, event):
if event.inaxes:
clickX = event.xdata
clickY = event.ydata
if self.axis is None or self.axis==event.inaxes:
annotes = []
for x,y,a in self.data:
if clickX-self.xtol < x < clickX+self.xtol and clickY-self.ytol < y < clickY+self.ytol :
dx,dy=x-clickX,y-clickY
annotes.append((dx*dx+dy*dy,x,y, a) )
if annotes:
annotes.sort() # to select the nearest node
distance, x, y, annote = annotes[0]
self.visitNode(annote)
def visitNode(self, annote): # Visit the selected node
# do something with the annote value
print "visitNode", annote
fig = plt.figure() ax = fig.add_subplot(111) ax.set_title('select nodes to navigate there')
G=nx.MultiDiGraph() # directed graph G = nx.wheel_graph(5)
pos=nx.spring_layout(G) # the layout gives us the nodes position x,y,annotes=[],[],[] for key in pos:
d=pos[key]
annotes.append(key)
x.append(d[0])
y.append(d[1]) nx.draw(G,pos,font_size=8)
af = AnnoteFinder(x,y, annotes) fig.canvas.mpl_connect('button_press_event', af)
plt.show()