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I currently have the following code for my networkx weighted graph:

import matplotlib.pyplot as plt import networkx as nx G = nx.Graph() G.add_edge("sam", "ben", weight=0.6) G.add_edge("sam", "ted", weight=0.2) G.add_edge("ted", "may", weight=0.1) G.add_edge("ted", "chris", weight=0.7) G.add_edge("ted", "nick", weight=0.9) G.add_edge("sam", "may", weight=0.3) elarge = [(u, v) for (u, v, d) in G.edges(data=True) if d["weight"] > 0.5] esmall = [(u, v) for (u, v, d) in G.edges(data=True) if d["weight"] <= 0.5] pos = nx.circular_layout(G) # positions for all nodes # nodes nx.draw_networkx_nodes(G, pos, node_size=700) # edges nx.draw_networkx_edges(G, pos, edgelist=elarge, width=6) nx.draw_networkx_edges( G, pos, edgelist=esmall, width=6, alpha=0.5, edge_color="b", style="dashed" ) # labels nx.draw_networkx_labels(G, pos, font_size=20, font_family="sans-serif") plt.axis("off") plt.show()

Which gives the following output: enter image description here

I've been searching, but cannot find a way to hover over a node and list all its connections. For example: if I hovered over node A I would know that it is connected to B, C, and D and their respective weights. I saw this and this hover feature on Bokeh. Any ideas on how I could embed that into my code? Thank you!

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Please see tutorials here. Here are solutions according to your data.

import matplotlib.pyplot as plt import networkx as nx G = nx.Graph() G.add_edge("a", "b", weight=0.6) G.add_edge("a", "c", weight=0.2) G.add_edge("c", "d", weight=0.1) G.add_edge("c", "e", weight=0.7) G.add_edge("c", "f", weight=0.9) G.add_edge("a", "d", weight=0.3) elarge = [(u, v) for (u, v, d) in G.edges(data=True) if d["weight"] > 0.5] esmall = [(u, v) for (u, v, d) in G.edges(data=True) if d["weight"] <= 0.5] fig, ax = plt.subplots(figsize=(7.2, 7.2)) pos = nx.circular_layout(G) # positions for all nodes names = np.array(list("abcdef")) # nodes # you have to return sc to for interaction to work sc = nx.draw_networkx_nodes(G, pos, node_size=700) # edges nx.draw_networkx_edges(G, pos, edgelist=elarge, width=6) nx.draw_networkx_edges( G, pos, edgelist=esmall, width=6, alpha=0.5, edge_color="b", style="dashed" ) # labels nx.draw_networkx_labels(G, pos, font_size=20, font_family="sans-serif") annot = ax.annotate("", xy=(0,0), xytext=(20,20),textcoords="offset points", bbox=dict(boxstyle="round", fc="w"), arrowprops=dict(arrowstyle="->")) annot.set_visible(False) def update_annot(ind): pos = sc.get_offsets()[ind["ind"][0]] annot.xy = pos es = [e for e in G[names[ind["ind"]][0]]] text = "{}".format(es) annot.set_text(text) annot.get_bbox_patch().set_alpha(0.4) def hover(event): vis = annot.get_visible() if event.inaxes == ax: cont, ind = sc.contains(event) if cont: update_annot(ind) annot.set_visible(True) fig.canvas.draw_idle() else: if vis: annot.set_visible(False) fig.canvas.draw_idle() fig.canvas.mpl_connect("motion_notify_event", hover)

Key points:

  • return scatter points (PathCollection) for interaction to work.

enter image description here

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13 Comments

Thank you! I'm very new to python, so Im sorry for asking a stupid question but where would the return sc go?
inside update_annot(), if it solves your issue, pls accept it.
I put return sc under update_annot() but no graph pops up.
Sorry! it's working now, just realized you missed the plt.show() at the end, which is why it wasn't working. thank you :)
pls copy paste my code, it should work fine. Not returning sc in update_annot, return sc from nx.draw_networkx_nodes, whcih I have did it for you..
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