ibs-pan/foodwebviz: foodwebviz v1.0.1
- 1. Systems Research Institute PAS
Description
Foodwebviz is a Python package for the visualization of food webs (trophic networks).
Source: https://github.com/ibs-pan/foodwebviz
Bug reports: https://github.com/ibs-pan/foodwebviz/issues
Installation
Make sure you have Python installed (we recommend Anaconda which comes with a wide range of handy default packages, along with Jupyter Notebooks and convenient Spyder IDE: https://www.anaconda.com/). If you would like to check this package out without full installation - see section "Tutorial".
Install npm: https://docs.npmjs.com/cli/v7/configuring-npm/install
Install orca: npm install -g electron@6.1.4 orca
To create animations, install ImageMagick: https://docs.wand-py.org/en/0.3.5/guide/install.html (on Linux: 'sudo apt-get install libmagickwand-dev')
Open the compressed folder and run the following terminal command from the top-level source directory (on Windows use e.g. Anaconda Prompt):
$ pip install .
Tutorial
examples/sample_output contains examples of visualisations (screenshots of interactive heatmap and graph visualisations)
examples/interactive_food_web_graph.html is an example of an interactive graph in HTML that can be viewed also without installing everything
examples/foodwebviz_tutorial.ipynb is an interactive Jupyter Notebook with code examples and functionality overview.
To get information on a specific function/method "function_name" please execute "help(function_name)" in a Jupyter Notebook or Python console. You can also play with the tutorial notebook without installing the package locally: https://mybinder.org/v2/gh/ibs-pan/foodwebviz/master?filepath=examples%2Ffoodwebviz_tutorial.ipynb
Updates since v.1.0.0: We have added the missing example input files in CSV and XLS formats.
Files
ibs-pan/foodwebviz-v1.0.1.zip
Files
(36.8 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/ibs-pan/foodwebviz/tree/v1.0.1 (URL)