Simple Way for Modifying Attributes of Single nodes in Networkx 2.1+
I'm looking for an simple way of modifying the value of a single attribute of a single node inside a NetworkX Graph.
The NetworkX documentation only mentions a function for setting an attribute for all nodes in the graph, e.g.:
nx.set_node_attributes(G, bb, 'betweenness')
This might be appropriate in many situations in which such such an attribute is easy to calculate for all nodes in a graph (like be mentioned betweenness). Likewise, there is an easy way to access single node attributes in NetworkX:
graph.nodes[nodeName][attribute]
However, the attributes accessed this way are read-only.
So what i'm looking for a way to set attributes as simple as reading.
Thanks in advance.
python-3.x graph networkx
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
add a comment |
I'm looking for an simple way of modifying the value of a single attribute of a single node inside a NetworkX Graph.
The NetworkX documentation only mentions a function for setting an attribute for all nodes in the graph, e.g.:
nx.set_node_attributes(G, bb, 'betweenness')
This might be appropriate in many situations in which such such an attribute is easy to calculate for all nodes in a graph (like be mentioned betweenness). Likewise, there is an easy way to access single node attributes in NetworkX:
graph.nodes[nodeName][attribute]
However, the attributes accessed this way are read-only.
So what i'm looking for a way to set attributes as simple as reading.
Thanks in advance.
python-3.x graph networkx
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
What do you mean by "efficient" ? Fast ?
– Gabriel Devillers
Nov 27 '18 at 22:06
Sorry, i may have clarified that in advance. I simply mean with writing less code (less then e.g. gather the attributes of all nodes in a dict, modify the only attribute i actually want to modify and then call the mentioned setter ).
– lowercaseonly
Nov 27 '18 at 22:09
Ok, then you could improve your question by showing us the few lines that you currently use to modify a single attribute.
– Gabriel Devillers
Nov 27 '18 at 22:12
Actually, i haven't implemented is this way yet. It's just one way it should work w.r.t. the set_node_attributes function as described in the documentation. But i will alter the question
– lowercaseonly
Nov 27 '18 at 22:15
add a comment |
I'm looking for an simple way of modifying the value of a single attribute of a single node inside a NetworkX Graph.
The NetworkX documentation only mentions a function for setting an attribute for all nodes in the graph, e.g.:
nx.set_node_attributes(G, bb, 'betweenness')
This might be appropriate in many situations in which such such an attribute is easy to calculate for all nodes in a graph (like be mentioned betweenness). Likewise, there is an easy way to access single node attributes in NetworkX:
graph.nodes[nodeName][attribute]
However, the attributes accessed this way are read-only.
So what i'm looking for a way to set attributes as simple as reading.
Thanks in advance.
python-3.x graph networkx
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
I'm looking for an simple way of modifying the value of a single attribute of a single node inside a NetworkX Graph.
The NetworkX documentation only mentions a function for setting an attribute for all nodes in the graph, e.g.:
nx.set_node_attributes(G, bb, 'betweenness')
This might be appropriate in many situations in which such such an attribute is easy to calculate for all nodes in a graph (like be mentioned betweenness). Likewise, there is an easy way to access single node attributes in NetworkX:
graph.nodes[nodeName][attribute]
However, the attributes accessed this way are read-only.
So what i'm looking for a way to set attributes as simple as reading.
Thanks in advance.
python-3.x graph networkx
python-3.x graph networkx
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
edited Nov 27 '18 at 22:19
lowercaseonly
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
asked Nov 27 '18 at 21:55
lowercaseonlylowercaseonly
33
33
What do you mean by "efficient" ? Fast ?
– Gabriel Devillers
Nov 27 '18 at 22:06
Sorry, i may have clarified that in advance. I simply mean with writing less code (less then e.g. gather the attributes of all nodes in a dict, modify the only attribute i actually want to modify and then call the mentioned setter ).
– lowercaseonly
Nov 27 '18 at 22:09
Ok, then you could improve your question by showing us the few lines that you currently use to modify a single attribute.
– Gabriel Devillers
Nov 27 '18 at 22:12
Actually, i haven't implemented is this way yet. It's just one way it should work w.r.t. the set_node_attributes function as described in the documentation. But i will alter the question
– lowercaseonly
Nov 27 '18 at 22:15
add a comment |
What do you mean by "efficient" ? Fast ?
– Gabriel Devillers
Nov 27 '18 at 22:06
Sorry, i may have clarified that in advance. I simply mean with writing less code (less then e.g. gather the attributes of all nodes in a dict, modify the only attribute i actually want to modify and then call the mentioned setter ).
– lowercaseonly
Nov 27 '18 at 22:09
Ok, then you could improve your question by showing us the few lines that you currently use to modify a single attribute.
– Gabriel Devillers
Nov 27 '18 at 22:12
Actually, i haven't implemented is this way yet. It's just one way it should work w.r.t. the set_node_attributes function as described in the documentation. But i will alter the question
– lowercaseonly
Nov 27 '18 at 22:15
What do you mean by "efficient" ? Fast ?
– Gabriel Devillers
Nov 27 '18 at 22:06
What do you mean by "efficient" ? Fast ?
– Gabriel Devillers
Nov 27 '18 at 22:06
Sorry, i may have clarified that in advance. I simply mean with writing less code (less then e.g. gather the attributes of all nodes in a dict, modify the only attribute i actually want to modify and then call the mentioned setter ).
– lowercaseonly
Nov 27 '18 at 22:09
Sorry, i may have clarified that in advance. I simply mean with writing less code (less then e.g. gather the attributes of all nodes in a dict, modify the only attribute i actually want to modify and then call the mentioned setter ).
– lowercaseonly
Nov 27 '18 at 22:09
Ok, then you could improve your question by showing us the few lines that you currently use to modify a single attribute.
– Gabriel Devillers
Nov 27 '18 at 22:12
Ok, then you could improve your question by showing us the few lines that you currently use to modify a single attribute.
– Gabriel Devillers
Nov 27 '18 at 22:12
Actually, i haven't implemented is this way yet. It's just one way it should work w.r.t. the set_node_attributes function as described in the documentation. But i will alter the question
– lowercaseonly
Nov 27 '18 at 22:15
Actually, i haven't implemented is this way yet. It's just one way it should work w.r.t. the set_node_attributes function as described in the documentation. But i will alter the question
– lowercaseonly
Nov 27 '18 at 22:15
add a comment |
1 Answer
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In your example, bb is a dict whose keys are the nodes. You don't need the dict to have a key for all nodes in the graph, just the nodes for which you want to define the attribute. In the example below, I create a graph, and then set the 'weight' of node 0 to be 5 and of node 3 to be 2. This leaves the attributes for the other nodes unaffected, so since they've never been created, they don't exist.
import networkx as nx
G = nx.fast_gnp_random_graph(10,0.2)
nx.set_node_attributes(G, {0:5, 3:2}, 'weight')
G.nodes[0]['weight']
> 5
G.nodes[3]['weight']
> 2
G.nodes[1]['weight']
> KeyError: 'weight'
So we set the weight for 0 and 3 but not any of the others. You could also set more than one attribute at once, but that requires a slightly different call. Here we have
nx.set_node_attributes(G, {1:{'weight':-1, 'volume':4}})
G.nodes[1]['weight']
> -1
G.nodes[1]['volume']
> 4
Just to see what the attributes look like after all of that:
G.nodes(data=True)
> NodeDataView({0: {'weight': 5}, 1: {'weight': -1, 'volume': 4}, 2: {}, 3: {'weight': 2}, 4: {}, 5: {}, 6: {}, 7: {}, 8: {}, 9: {}})
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
add a comment |
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1 Answer
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1 Answer
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In your example, bb is a dict whose keys are the nodes. You don't need the dict to have a key for all nodes in the graph, just the nodes for which you want to define the attribute. In the example below, I create a graph, and then set the 'weight' of node 0 to be 5 and of node 3 to be 2. This leaves the attributes for the other nodes unaffected, so since they've never been created, they don't exist.
import networkx as nx
G = nx.fast_gnp_random_graph(10,0.2)
nx.set_node_attributes(G, {0:5, 3:2}, 'weight')
G.nodes[0]['weight']
> 5
G.nodes[3]['weight']
> 2
G.nodes[1]['weight']
> KeyError: 'weight'
So we set the weight for 0 and 3 but not any of the others. You could also set more than one attribute at once, but that requires a slightly different call. Here we have
nx.set_node_attributes(G, {1:{'weight':-1, 'volume':4}})
G.nodes[1]['weight']
> -1
G.nodes[1]['volume']
> 4
Just to see what the attributes look like after all of that:
G.nodes(data=True)
> NodeDataView({0: {'weight': 5}, 1: {'weight': -1, 'volume': 4}, 2: {}, 3: {'weight': 2}, 4: {}, 5: {}, 6: {}, 7: {}, 8: {}, 9: {}})
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
add a comment |
In your example, bb is a dict whose keys are the nodes. You don't need the dict to have a key for all nodes in the graph, just the nodes for which you want to define the attribute. In the example below, I create a graph, and then set the 'weight' of node 0 to be 5 and of node 3 to be 2. This leaves the attributes for the other nodes unaffected, so since they've never been created, they don't exist.
import networkx as nx
G = nx.fast_gnp_random_graph(10,0.2)
nx.set_node_attributes(G, {0:5, 3:2}, 'weight')
G.nodes[0]['weight']
> 5
G.nodes[3]['weight']
> 2
G.nodes[1]['weight']
> KeyError: 'weight'
So we set the weight for 0 and 3 but not any of the others. You could also set more than one attribute at once, but that requires a slightly different call. Here we have
nx.set_node_attributes(G, {1:{'weight':-1, 'volume':4}})
G.nodes[1]['weight']
> -1
G.nodes[1]['volume']
> 4
Just to see what the attributes look like after all of that:
G.nodes(data=True)
> NodeDataView({0: {'weight': 5}, 1: {'weight': -1, 'volume': 4}, 2: {}, 3: {'weight': 2}, 4: {}, 5: {}, 6: {}, 7: {}, 8: {}, 9: {}})
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
add a comment |
In your example, bb is a dict whose keys are the nodes. You don't need the dict to have a key for all nodes in the graph, just the nodes for which you want to define the attribute. In the example below, I create a graph, and then set the 'weight' of node 0 to be 5 and of node 3 to be 2. This leaves the attributes for the other nodes unaffected, so since they've never been created, they don't exist.
import networkx as nx
G = nx.fast_gnp_random_graph(10,0.2)
nx.set_node_attributes(G, {0:5, 3:2}, 'weight')
G.nodes[0]['weight']
> 5
G.nodes[3]['weight']
> 2
G.nodes[1]['weight']
> KeyError: 'weight'
So we set the weight for 0 and 3 but not any of the others. You could also set more than one attribute at once, but that requires a slightly different call. Here we have
nx.set_node_attributes(G, {1:{'weight':-1, 'volume':4}})
G.nodes[1]['weight']
> -1
G.nodes[1]['volume']
> 4
Just to see what the attributes look like after all of that:
G.nodes(data=True)
> NodeDataView({0: {'weight': 5}, 1: {'weight': -1, 'volume': 4}, 2: {}, 3: {'weight': 2}, 4: {}, 5: {}, 6: {}, 7: {}, 8: {}, 9: {}})
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
In your example, bb is a dict whose keys are the nodes. You don't need the dict to have a key for all nodes in the graph, just the nodes for which you want to define the attribute. In the example below, I create a graph, and then set the 'weight' of node 0 to be 5 and of node 3 to be 2. This leaves the attributes for the other nodes unaffected, so since they've never been created, they don't exist.
import networkx as nx
G = nx.fast_gnp_random_graph(10,0.2)
nx.set_node_attributes(G, {0:5, 3:2}, 'weight')
G.nodes[0]['weight']
> 5
G.nodes[3]['weight']
> 2
G.nodes[1]['weight']
> KeyError: 'weight'
So we set the weight for 0 and 3 but not any of the others. You could also set more than one attribute at once, but that requires a slightly different call. Here we have
nx.set_node_attributes(G, {1:{'weight':-1, 'volume':4}})
G.nodes[1]['weight']
> -1
G.nodes[1]['volume']
> 4
Just to see what the attributes look like after all of that:
G.nodes(data=True)
> NodeDataView({0: {'weight': 5}, 1: {'weight': -1, 'volume': 4}, 2: {}, 3: {'weight': 2}, 4: {}, 5: {}, 6: {}, 7: {}, 8: {}, 9: {}})
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
edited Nov 28 '18 at 1:00
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
answered Nov 27 '18 at 22:42
JoelJoel
10.4k2555
10.4k2555
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
add a comment |
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
Perfect! Thank you very much, solves the problem for me
– lowercaseonly
Nov 27 '18 at 23:02
add a comment |
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What do you mean by "efficient" ? Fast ?
– Gabriel Devillers
Nov 27 '18 at 22:06
Sorry, i may have clarified that in advance. I simply mean with writing less code (less then e.g. gather the attributes of all nodes in a dict, modify the only attribute i actually want to modify and then call the mentioned setter ).
– lowercaseonly
Nov 27 '18 at 22:09
Ok, then you could improve your question by showing us the few lines that you currently use to modify a single attribute.
– Gabriel Devillers
Nov 27 '18 at 22:12
Actually, i haven't implemented is this way yet. It's just one way it should work w.r.t. the set_node_attributes function as described in the documentation. But i will alter the question
– lowercaseonly
Nov 27 '18 at 22:15