Quickstart

A quick example how to learn a model on a given dataset.

# Import library
from d3graph import d3graph, vec2adjmat

# Create example network
source = ['node A','node F','node B','node B','node B','node A','node C','node Z']
target = ['node F','node B','node J','node F','node F','node M','node M','node A']
weight = [5.56, 0.5, 0.64, 0.23, 0.9, 3.28, 0.5, 0.45]
# Convert to adjacency matrix
adjmat = vec2adjmat(source, target, weight=weight)

# Initialize
d3 = d3graph()
# Proces adjmat
d3.graph(adjmat)
# Plot
d3.show()

# Make changes in node properties
d3.set_node_properties(color=adjmat.columns.values, label=['node 1','node 2','node 3','node 4','node 5','node 6','node 7'])
# Plot
d3.show(filepath='c://temp/')

Installation

Create environment

If desired, install d3graph from an isolated Python environment using conda:

conda create -n env_d3graph python=3.8
conda activate env_d3graph

Install via pip:

pip install d3graph

Install directly from github:

pip install git+https://github.com/erdogant/d3graph

Uninstalling

If you want to remove your d3graph installation with your environment, it can be as following:

# List all the active environments. d3graph should be listed.
conda env list

# Remove the d3graph environment
conda env remove --name d3graph

# List all the active environments. d3graph should be absent.
conda env list

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