How to control node labels in CircosPlot in NetworkX (nxviz)?
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I have a graph (DiGraph()) with node names that i don't want appearing in a CircosPlot. I would like to relabel the nodes (only in the graph). Can this be done? Ive tried the following:
a = CircosPlot(G, group_label_color=True, group_label_position='middle',
node_labels=True, labels=label_dict)
where label_dict is a dictionary of node (key, name) pairs. The only way i have been able to solve this so far is the following approach:
def return_renamed_graph(G):
#Rename the nodes to comprehensive names
nodes = list(G.nodes())
G = nx.relabel_nodes(G, {i: G.node[i]['name'] for i in nodes})
return G
Basically just create a graph only for visualization with nodes named as i want. However this is problematic since I would want the ability to have duplicately named nodes and this relabel_nodes function doesnt seem to allow that.
Any suggestions or tips on how this can be done?
python networkx
asked Nov 19 at 0:12
DannyMoshe
2,3371618
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up vote
0
down vote
favorite
I have a graph (DiGraph()) with node names that i don't want appearing in a CircosPlot. I would like to relabel the nodes (only in the graph). Can this be done? Ive tried the following:
a = CircosPlot(G, group_label_color=True, group_label_position='middle',
node_labels=True, labels=label_dict)
where label_dict is a dictionary of node (key, name) pairs. The only way i have been able to solve this so far is the following approach:
def return_renamed_graph(G):
#Rename the nodes to comprehensive names
nodes = list(G.nodes())
G = nx.relabel_nodes(G, {i: G.node[i]['name'] for i in nodes})
return G
Basically just create a graph only for visualization with nodes named as i want. However this is problematic since I would want the ability to have duplicately named nodes and this relabel_nodes function doesnt seem to allow that.
Any suggestions or tips on how this can be done?
python networkx
asked Nov 19 at 0:12
DannyMoshe
2,3371618
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have a graph (DiGraph()) with node names that i don't want appearing in a CircosPlot. I would like to relabel the nodes (only in the graph). Can this be done? Ive tried the following:
a = CircosPlot(G, group_label_color=True, group_label_position='middle',
node_labels=True, labels=label_dict)
where label_dict is a dictionary of node (key, name) pairs. The only way i have been able to solve this so far is the following approach:
def return_renamed_graph(G):
#Rename the nodes to comprehensive names
nodes = list(G.nodes())
G = nx.relabel_nodes(G, {i: G.node[i]['name'] for i in nodes})
return G
Basically just create a graph only for visualization with nodes named as i want. However this is problematic since I would want the ability to have duplicately named nodes and this relabel_nodes function doesnt seem to allow that.
Any suggestions or tips on how this can be done?
python networkx
asked Nov 19 at 0:12
DannyMoshe
2,3371618
I have a graph (DiGraph()) with node names that i don't want appearing in a CircosPlot. I would like to relabel the nodes (only in the graph). Can this be done? Ive tried the following:
a = CircosPlot(G, group_label_color=True, group_label_position='middle',
node_labels=True, labels=label_dict)
where label_dict is a dictionary of node (key, name) pairs. The only way i have been able to solve this so far is the following approach:
def return_renamed_graph(G):
#Rename the nodes to comprehensive names
nodes = list(G.nodes())
G = nx.relabel_nodes(G, {i: G.node[i]['name'] for i in nodes})
return G
Basically just create a graph only for visualization with nodes named as i want. However this is problematic since I would want the ability to have duplicately named nodes and this relabel_nodes function doesnt seem to allow that.
Any suggestions or tips on how this can be done?
python networkx
python networkx
asked Nov 19 at 0:12
DannyMoshe
2,3371618
asked Nov 19 at 0:12
DannyMoshe
2,3371618
asked Nov 19 at 0:12
DannyMoshe
2,3371618
asked Nov 19 at 0:12
DannyMoshe
2,3371618
asked Nov 19 at 0:12
DannyMoshe
2,3371618
2,3371618
add a comment |
add a comment |
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