Node labels using networkx
matplotlib, networkx, python
Solution
You can add the `with_labels=False` keyword to suppress drawing of the labels with `networkx.draw()`, e.g.
networkx.draw(G, pos=pos, node_color=colors[curve],
node_size=80, with_labels=False)
Then draw specific labels with
networkx.draw_networkx_labels(G,pos, labels)
where labels is a dictionary mapping node ids to labels.
Take a look at this example: https://networkx.org/documentation/stable/auto_examples/drawing/plot_labels_and_colors.html
Problem
I'm creating a graph out of given sequence of Y values held by `curveSeq`. (the X values are enumerated automatically: 0,1,2...) i.e for `curveSeq = [10,20,30]`, my graph will contain the points: ``` <0,10>, <1,20>, <2,30>. ``` I'm drawing a series of graphs on the same `nx.Graph` in order to present everything in one picture. My problem is: - Each node presents its location. i.e the node in location `<0,10>` presents its respective label and I don't know how to remove it. - There are specific nodes that I want to add a label to, but I don't know how. for example, for the sequence: ``` [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,1] ``` The received graph is: The code is: ``` for point in curveSeq: cur_point = point #assert len(cur_point) == 2 if prev_point is not None: # Calculate the distance between the nodes with the Pythagorean # theorem b = cur_point[1] - prev_point[1] c = cur_point[0] - prev_point[0] a = math.sqrt(b ** 2 + c ** 2) G.add_edge(cur_point, prev_point, weight=a) G.add_node(cur_point) pos[cur_point] = cur_point prev_point = cur_point #key: G.add_node((curve+1,-1)) pos[(curve+1,-1)] = (curve+1,-1) nx.draw(G, pos=pos, node_color = colors[curve],node_size=80) nx.draw_networkx_edges(G,pos=pos,alpha=0.5,width=8,edge_color=colors[curve]) plt.savefig(currIteration+'.png') ```