Difference between revisions of "Addon:NetworkChart"
From Gramps
(→NetworkChart) |
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*Generate a single graph showing connectivity between individuals | *Generate a single graph showing connectivity between individuals | ||
*Clickable nodes (individuals) that contain a hyperlink for a visual index | *Clickable nodes (individuals) that contain a hyperlink for a visual index | ||
| − | *Display connectivity paths and highlight them | + | *Display connectivity paths and highlight them [[File:NetworkChart usage.png|400px|text-top]] |
| − | The default output is a Scalable Vector Graphics (SVG) file that can be viewed in a browser. NetworkChart uses the python networkx module to assist in selecting what to display. To access the NetworkChart plugin use the following menu option {{man menu|Reports > Webpages > NetworkChart...}} | + | The default output is a Scalable Vector Graphics (SVG) file that can be viewed in a browser. NetworkChart uses the python networkx module to assist in selecting what to display. To access the NetworkChart plugin use the following menu option {{man menu|Reports > Webpages > NetworkChart...}} |
#text-bottom|right|thumb|Menus | #text-bottom|right|thumb|Menus | ||
Revision as of 04:54, 6 March 2017
NetworkChart
NetworkChart is a website plugin for Gramps. The objectives of NetworkChart are:
- Generate a single graph showing connectivity between individuals
- Clickable nodes (individuals) that contain a hyperlink for a visual index
- Display connectivity paths and highlight them
The default output is a Scalable Vector Graphics (SVG) file that can be viewed in a browser. NetworkChart uses the python networkx module to assist in selecting what to display. To access the NetworkChart plugin use the following menu option Reports > Webpages > NetworkChart...
- text-bottom|right|thumb|Menus
Prerequistes
Requires the following to be installed:
pip install networkx
To get "libcgraph" for pygraphviz you first need to install the development package of graphviz eg:
apt install graphviz-dev
or
dnf install graphviz-devel
then run:
pip install pygraphviz
Usage
The main menu...
