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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 | |
import glob | |
from numpy import sqrt | |
import glob | |
path = '' | |
files = [f for f in glob.glob(path + "*.jpg")] | |
img = [] | |
for f in files: | |
img.append(mpimg.imread(f)) | |
N = len(files) | |
# generate graph | |
G = nx.watts_strogatz_graph(N,4,0.2) | |
pos=nx.spring_layout(G,k=3/sqrt(N)) | |
# draw with images on nodes | |
nx.draw_networkx(G,pos,width=3,edge_color="r",alpha=0.6) | |
ax=plt.gca() | |
fig=plt.gcf() | |
trans = ax.transData.transform | |
trans2 = fig.transFigure.inverted().transform | |
imsize = 0.1 # this is the image size | |
for n in G.nodes(): | |
(x,y) = pos[n] | |
xx,yy = trans((x,y)) # figure coordinates | |
xa,ya = trans2((xx,yy)) # axes coordinates | |
a = plt.axes([xa-imsize/2.0,ya-imsize/2.0, imsize, imsize ]) | |
a.imshow(img[n]) | |
a.set_aspect('equal') | |
a.axis('off') | |
plt.savefig('./save.png') |
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