ibs-pan/foodwebviz: Foodwebviz
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...
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ftdatacite:10.5281/zenodo.6201934 2023-05-15T17:53:34+02:00 ibs-pan/foodwebviz: Foodwebviz Iskrzyński, Mateusz Systems Research Institute PAS Łukasz Pawluczuk 2022 https://dx.doi.org/10.5281/zenodo.6201934 https://zenodo.org/record/6201934 unknown Zenodo https://github.com/ibs-pan/foodwebviz/tree/v1.0.0 https://github.com/ibs-pan/foodwebviz/tree/v1.0.0 https://dx.doi.org/10.5281/zenodo.6201935 Open Access info:eu-repo/semantics/openAccess SoftwareSourceCode article Software 2022 ftdatacite https://doi.org/10.5281/zenodo.6201934 https://doi.org/10.5281/zenodo.6201935 2022-03-10T14:02:54Z 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 Software Orca DataCite Metadata Store (German National Library of Science and Technology) |
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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 |
format |
Software |
author |
Iskrzyński, Mateusz Systems Research Institute PAS Łukasz Pawluczuk |
spellingShingle |
Iskrzyński, Mateusz Systems Research Institute PAS Łukasz Pawluczuk ibs-pan/foodwebviz: Foodwebviz |
author_facet |
Iskrzyński, Mateusz Systems Research Institute PAS Łukasz Pawluczuk |
author_sort |
Iskrzyński, Mateusz |
title |
ibs-pan/foodwebviz: Foodwebviz |
title_short |
ibs-pan/foodwebviz: Foodwebviz |
title_full |
ibs-pan/foodwebviz: Foodwebviz |
title_fullStr |
ibs-pan/foodwebviz: Foodwebviz |
title_full_unstemmed |
ibs-pan/foodwebviz: Foodwebviz |
title_sort |
ibs-pan/foodwebviz: foodwebviz |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.6201934 https://zenodo.org/record/6201934 |
genre |
Orca |
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Orca |
op_relation |
https://github.com/ibs-pan/foodwebviz/tree/v1.0.0 https://github.com/ibs-pan/foodwebviz/tree/v1.0.0 https://dx.doi.org/10.5281/zenodo.6201935 |
op_rights |
Open Access info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.6201934 https://doi.org/10.5281/zenodo.6201935 |
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1766161280238878720 |