Thank you Tiago and feliz Ano Novo. I hope I'm not getting greedy here, but I'd like to get this inline within a Jupyter Notebook. I have graph_draw(mplfig=) working outside of a Jupyter notebook, and graph_draw itself works great inline within a Jupyter notebook. It should be possible to get both together to produce nice annotations of graphs in a notebook. Based on this Stackoverflow thread <http://stackoverflow.com/questions/34425955/make-coordinate-systems-agree-between-matplotlib-and-graph-tool> , this code works in straight iPython:
# matplotlib with gt.graph_draw -- order important here import matplotlib as mpl mpl.use('cairo') # %matplotlib inline import matplotlib.pyplot as plt import graph_tool.all as gt # , graph_tool
x = [0,1] y = [0,1]
g = gt.Graph() pos = g.new_vertex_property('vector <float> ') v0 = g.add_vertex() v1 = g.add_vertex() e01 = g.add_edge(v0,v1) pos[v0] = [0,0] pos[v1] = [1,1]
plt.plot(x,y) ax = plt.gca() gt.graph_draw(g, pos=pos, mplfig=ax) plt.savefig('test.png')
But if I embed this code in a Jupyter notebook with the magic line "%matplotlib inline" uncommented, I do not get inline graphics, -- only a return object pointer. I'd greatly appreciate your thoughts if this Jupyter notebook capability would/should be possible. -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/... Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.