# Network chart

A Network diagram (or chart, or graph) show interconnections between a set of entities. Each entity is represented by a node (or vertices). Connection between nodes are represented through links (or edges). This section mainly focuses on `NetworkX`

, probably the best library for this kind of chart with `python`

.

## Network diagram with the `NetworkX`

library

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks..

The examples below will guide you through a migration dataset already discussed in data-to-viz.com. It starts by describing the input dataset and the basic usage of the `Chord()`

function.

A common need when dealing with network charts is to map a numeric or categorical variable to the nodes or edges appearance. This is totally doable and adds some insight to the figure.

## Network chart from similarity matrix

Another commin task is to build a network chart from a correlation matrix. Let's say you have several numeric variables describing some items in a dataset. You can compute a similarity matrix and display it as a network chart. This process is described in thepost #327 below.

## Network diagram with `graph-tool`

The graph tool library is a python library implemented in C++. It makes it highly efficient to draw networks containing many nodes. Graphics to come.

## Contact

👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting `yan.holtz.data`

with `gmail.com`

.