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Put Images as Nodes using Networkx and Python
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| import networkx as nx | |
| import matplotlib.pyplot as plt | |
| import matplotlib.image as mpimg | |
| img=mpimg.imread('/home/shobhit/Desktop/shobhit.jpg') | |
| # draw graph without images | |
| G =nx.Graph() | |
| G.add_edge(0,1,image=img,size=0.1) | |
| G.add_edge(1,2,image=img,size=0.05) | |
| G.add_edge(2,3,image=img,size=0.02) | |
| G.add_edge(3,4,image=img,size=0.075) | |
| pos=nx.spring_layout(G) | |
| nx.draw(G,pos) | |
| # add images on edges | |
| ax=plt.gca() | |
| fig=plt.gcf() | |
| label_pos = 0.5 # middle of edge, halfway between nodes | |
| trans = ax.transData.transform | |
| trans2 = fig.transFigure.inverted().transform | |
| imsize = 0.1 # this is the image size | |
| for (n1,n2) in G.edges(): | |
| (x1,y1) = pos[n1] | |
| (x2,y2) = pos[n2] | |
| (x,y) = (x1 * label_pos + x2 * (1.0 - label_pos), | |
| y1 * label_pos + y2 * (1.0 - label_pos)) | |
| xx,yy = trans((x,y)) # figure coordinates | |
| xa,ya = trans2((xx,yy)) # axes coordinates | |
| imsize = G[n1][n2]['size'] | |
| img = G[n1][n2]['image'] | |
| a = plt.axes([xa-imsize/2.0,ya-imsize/2.0, imsize, imsize ]) | |
| a.imshow(img) | |
| a.set_aspect('equal') | |
| a.axis('off') | |
| plt.savefig('/home/shobhit/Desktop/save.png') |
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