diff --git a/visualisation/BivariateSpecificity.py b/visualisation/BivariateSpecificity.py new file mode 100755 index 0000000000000000000000000000000000000000..5c6e642dcdfb561d78f65ad846efa754c7cfcb28 --- /dev/null +++ b/visualisation/BivariateSpecificity.py @@ -0,0 +1,24 @@ +#!/usr/bin/env python3 + +from GEODE import tabular +from color import qualitative +import matplotlib.pyplot as plot +import seaborn +import sys + +def specificity2D(inputTSV, outputPNG): + specificities = tabular(inputTSV) + ax = seaborn.catplot( + data=specificities, x='auteur', y='Specificité', col='domaine', + hue='lemme', kind='bar', zorder=3, palette=qualitative) + ax.despine(left=True) + ax.set_xlabels('') + ax.set_titles('{col_name}') + ax.tick_params(axis='x', rotation=45) + ax.tick_params(axis='y', left=False) + for col in specificities['domaine'].unique(): + ax.axes_dict[col].grid(axis='y', zorder=0) + plot.savefig(outputPNG, dpi=300, bbox_inches='tight') + +if __name__ == '__main__': + specificity2D(*sys.argv[1:])