graphlot

Name	graphlot JSON
Version	0.3.0 JSON
	download
home_page	None
Summary	None
upload_time	2024-07-05 12:26:58
maintainer	None
docs_url	None
author	Francesco Gualdi
requires_python	None
license	GPL
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Graphlot


Graphlot is a library that allows to simply visualize networks. It is built upon matplotlib, and plotly and exploits network layouts from networkx, igraph and graphviz.

For this reason the first step is to install graphviz by running

```
sudo apt install graphviz

```
Then we can install graphlot through pip

```
pip install graphlot

```


The library takes as input a networx graph and can plot the degree distribution and the network itself with different layouts.

To demonstrate it we will generate a random network with the function CreateNetworkFromRandomClasses(). This function takes as input a list and an integer. The list is of length n_classes and in which every value is the number of nodes of that specific classes. The integer is the number of random edges of the graph.

The function stores the information of the node belonging to a specific class in "Type" node attribute and node name in "name" node attribute.

```

import graphlot as gv
import random


random.seed(123127844)

grafo = gv.CreateNetworkFromRandomClasses([20,20,30], 150)
gv.plot_degree_distribution(grafo)

```

![Degree Distribution](https://github.com/freh-g/graphlot/blob/main/images/degree_distribution.jpg?raw=true)



```

random.seed(123127844)
gv.visualize_network(grafo,mode = '2d',node_color_attribute='Type',legend = 'Type',cmap='viridis',node_annotation = 'Name')

```



![Network Visualization](https://github.com/freh-g/graphlot/blob/main/images/network.jpg?raw=true)


Moreover graphlot allows to plot networks in 3d in order to have a more flexible visualization.


```

random.seed(123127844)
gv.visualize_network(grafo,mode = '3d',node_color_attribute='Type',legend = 'Type',cmap='viridis',node_annotation = 'Name')

```


[3D Network](https://htmlpreview.github.io/?https://github.com/freh-g/graphlot/blob/main/images/network.html)



            

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    "description": "# Graphlot\n\n\nGraphlot is a library that allows to simply visualize networks. It is built upon matplotlib, and plotly and exploits network layouts from networkx, igraph and graphviz.\n\nFor this reason the first step is to install graphviz by running\n\n```\nsudo apt install graphviz\n\n```\nThen we can install graphlot through pip\n\n```\npip install graphlot\n\n```\n\n\nThe library takes as input a networx graph and can plot the degree distribution and the network itself with different layouts.\n\nTo demonstrate it we will generate a random network with the function CreateNetworkFromRandomClasses(). This function takes as input a list and an integer. The list is of length n_classes and in which every value is the number of nodes of that specific classes. The integer is the number of random edges of the graph.\n\nThe function stores the information of the node belonging to a specific class in \"Type\" node attribute and node name in \"name\" node attribute.\n\n```\n\nimport graphlot as gv\nimport random\n\n\nrandom.seed(123127844)\n\ngrafo = gv.CreateNetworkFromRandomClasses([20,20,30], 150)\ngv.plot_degree_distribution(grafo)\n\n```\n\n![Degree Distribution](https://github.com/freh-g/graphlot/blob/main/images/degree_distribution.jpg?raw=true)\n\n\n\n```\n\nrandom.seed(123127844)\ngv.visualize_network(grafo,mode = '2d',node_color_attribute='Type',legend = 'Type',cmap='viridis',node_annotation = 'Name')\n\n```\n\n\n\n![Network Visualization](https://github.com/freh-g/graphlot/blob/main/images/network.jpg?raw=true)\n\n\nMoreover graphlot allows to plot networks in 3d in order to have a more flexible visualization.\n\n\n```\n\nrandom.seed(123127844)\ngv.visualize_network(grafo,mode = '3d',node_color_attribute='Type',legend = 'Type',cmap='viridis',node_annotation = 'Name')\n\n```\n\n\n[3D Network](https://htmlpreview.github.io/?https://github.com/freh-g/graphlot/blob/main/images/network.html)\n\n\n",
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