Inspired by various scientists using heatmaps to give fair credit using CRediT here is creditauthor, a small tool to make a heatmap image for author contributions.
Usage
python creditauthor.py path/to/file.xlsx
To see function help:
python creditauthor.py --help
The table file (Excel or CSV) assumes the following format:
- First column of the table is each Role.
- Each column is an author, with their identity in the header row and their contribution to each Role in the cells below.
example.csv contains data in the format used to generate example.png with python creditauthor.py example.png.
Note that the values don't necessarily have to add up to 100 per row: this is a visualisation tool so jig the numbers until the heatmap represents what you want.
Where values are not entered the color will be specified using the --grey value.
- Matplotlib's colormaps: https://matplotlib.org/stable/users/explain/colors/colormaps.html
- The International Brain Repository's approach: https://github.com/int-brain-lab/paper-behavior/blob/master/authorship/Authorship%20and%20contribution%20for%20IBL%20behavior%20paper.ipynb