Releases: ibs-pan/foodwebviz
Small network animation fix
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.1.0.1:
We have fixed a bug that broke the animation method for very small networks (<10 nodes), signaled as Issue 10: #10
foodwebviz v1.0.1
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.
Foodwebviz
The official release of foodwebviz - a Python package for food web visualisation. Release accompanies a publication in Methods in Ecology and Evolution.