ibs-pan/foodwebviz: foodwebviz v1.0.1

• Main Authors: Mateusz Iskrzyński, Systems Research Institute PAS, Łukasz Pawluczuk
• Format: Software
• Language: unknown
• Published: 2022
• Subjects: Orca
• Online Access: https://zenodo.org/record/6470872; https://doi.org/10.5281/zenodo.6470872

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.