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How to affect positions to the graph nodes for visualization?

Exporting Layout Positions for a Graph Using NetworkXhow to plot edgelist file as a network in networkxlarge graph visualization with python and networkxNetworkX graph: creating nodes with ordered listHow to extract random nodes from networkx graph?Fix position of subset of nodes in NetworkX spring graphDrawing a graph with multiple edges between nodes in PythonNetworkX: connect nodes of two separate graphs in PythonGenerating Network graph in pythonHow to visualization Multi Directed Graph with edge weight & node coords in Python

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2

I have a graph that I read with Networkx from a Dotfile, and to visualize it I need to affect position (x,y) to each node. How can I do that ?

For visualization, I use Plotly offline mode on python3.6 , and for that I will need the positions for the edge and nodes.
For now , I try giving random values and that seems to not being working at all

Basically, the code i use for plotting is this one : https://plot.ly/python/network-graphs/
the algorithm uses 'pos' from the random created Graph , but for me , I don't have thoses coordonates and I don't have any idea how to generate them.

python-3.x graph data-visualization networkx

share|improve this question

edited Mar 25 at 18:36

Wael Dimassi

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  You'd better paste your code for disscuss
  
  – howie
  Mar 25 at 1:51
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  This code : plot.ly/python/network-graphs
  
  – Wael Dimassi
  Mar 25 at 18:35
  

  
  
  
  

add a comment | 

2

I have a graph that I read with Networkx from a Dotfile, and to visualize it I need to affect position (x,y) to each node. How can I do that ?

For visualization, I use Plotly offline mode on python3.6 , and for that I will need the positions for the edge and nodes.
For now , I try giving random values and that seems to not being working at all

Basically, the code i use for plotting is this one : https://plot.ly/python/network-graphs/
the algorithm uses 'pos' from the random created Graph , but for me , I don't have thoses coordonates and I don't have any idea how to generate them.

python-3.x graph data-visualization networkx

share|improve this question

edited Mar 25 at 18:36

Wael Dimassi

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  You'd better paste your code for disscuss
  
  – howie
  Mar 25 at 1:51
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  This code : plot.ly/python/network-graphs
  
  – Wael Dimassi
  Mar 25 at 18:35
  

  
  
  
  

add a comment | 

I have a graph that I read with Networkx from a Dotfile, and to visualize it I need to affect position (x,y) to each node. How can I do that ?

For visualization, I use Plotly offline mode on python3.6 , and for that I will need the positions for the edge and nodes.
For now , I try giving random values and that seems to not being working at all

Basically, the code i use for plotting is this one : https://plot.ly/python/network-graphs/
the algorithm uses 'pos' from the random created Graph , but for me , I don't have thoses coordonates and I don't have any idea how to generate them.

python-3.x graph data-visualization networkx

share|improve this question

edited Mar 25 at 18:36

Wael Dimassi

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

share|improve this question

edited Mar 25 at 18:36

Wael Dimassi

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

share|improve this question

edited Mar 25 at 18:36

Wael Dimassi

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

asked Mar 25 at 1:25

Wael DimassiWael Dimassi

646

1 Answer
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oldest

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1

The problem you are trying to solve is known as graph layouts. There are some graph layout algorithms in networkx: networkx.drawing.layout. Here is the example:

import networkx as nx

G = nx.Graph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(2,3),(2,4),(4,5)])
nx.spring_layout(G)

Returns coordinates of all nodes:

1: array([-0.73835686, 0.38769421]),
 2: array([-0.11386106, 0.22912486]),
 3: array([0.14264776, 0.81717097]),
 4: array([ 0.21475452, -0.43399004]),
 5: array([ 0.49481564, -1. ])

share|improve this answer

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830

add a comment | 

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1

The problem you are trying to solve is known as graph layouts. There are some graph layout algorithms in networkx: networkx.drawing.layout. Here is the example:

import networkx as nx

G = nx.Graph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(2,3),(2,4),(4,5)])
nx.spring_layout(G)

Returns coordinates of all nodes:

1: array([-0.73835686, 0.38769421]),
 2: array([-0.11386106, 0.22912486]),
 3: array([0.14264776, 0.81717097]),
 4: array([ 0.21475452, -0.43399004]),
 5: array([ 0.49481564, -1. ])

share|improve this answer

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830

add a comment | 

1

The problem you are trying to solve is known as graph layouts. There are some graph layout algorithms in networkx: networkx.drawing.layout. Here is the example:

import networkx as nx

G = nx.Graph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(2,3),(2,4),(4,5)])
nx.spring_layout(G)

Returns coordinates of all nodes:

1: array([-0.73835686, 0.38769421]),
 2: array([-0.11386106, 0.22912486]),
 3: array([0.14264776, 0.81717097]),
 4: array([ 0.21475452, -0.43399004]),
 5: array([ 0.49481564, -1. ])

share|improve this answer

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830

add a comment | 

The problem you are trying to solve is known as graph layouts. There are some graph layout algorithms in networkx: networkx.drawing.layout. Here is the example:

import networkx as nx

G = nx.Graph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(2,3),(2,4),(4,5)])
nx.spring_layout(G)

Returns coordinates of all nodes:

1: array([-0.73835686, 0.38769421]),
 2: array([-0.11386106, 0.22912486]),
 3: array([0.14264776, 0.81717097]),
 4: array([ 0.21475452, -0.43399004]),
 5: array([ 0.49481564, -1. ])

share|improve this answer

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830

import networkx as nx

G = nx.Graph()
G.add_nodes_from([1,2,3,4,5])
G.add_edges_from([(1,2),(2,3),(2,4),(4,5)])
nx.spring_layout(G)

1: array([-0.73835686, 0.38769421]),
 2: array([-0.11386106, 0.22912486]),
 3: array([0.14264776, 0.81717097]),
 4: array([ 0.21475452, -0.43399004]),
 5: array([ 0.49481564, -1. ])

share|improve this answer

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830

answered Mar 26 at 16:42

vurmuxvurmux

5,3252830