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catnet is a Python package that allows for transforming tabular data into a network structure. catnet can identify the coexistence of variables and categories in literature reviews and other tables and create a network dataframe that can be exported into a format that can be taken by other packages such as networkx and applications such as Gephi.

To install this package run:

python -m pip install git+https://github.com/CamiBetancur/catnet/)

To be able to use catnet you need to format your dataframe in one of the following ways:

"Long" format refers to data that has a column for describing a categorical variable (var_col) and an identifier column (id_col) that identifies to which entity that variable belongs to. For example, in a literature review, a long dataframe that could be used by catnet could look like this (note that the column names id_col and var_col do not necessarily need to be named id_col and var_col):

For "long" dataframes, you can use the function [...] complement later.

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Betancur Jaramillo, J. C. (2024). catnet source code (Version 0.1.0) [source code]. https://github.com/CamiBetancur/catnet/.

@misc{Betancur_2024,  
      title={catnet v0.1.0},  
      url={https://github.com/CamiBetancur/catnet},  
      publisher={Stockholm Environment Institute},  
      author={Betancur Jaramillo, Juan Camilo},  
      year={2024}}