Python visualisation for Plutchik annotated corpora.
PyPlutchik is a module for visualizing the emotional fingerprint of corpora and text annotated with the Plutchik's model of emotions.
If you use it, please cite
Semeraro A, Vilella S, Ruffo G (2021)
PyPlutchik: Visualising and comparing emotion-annotated corpora
PLOS ONE 16(9): e0256503.https://doi.org/10.1371/journal.pone.0256503
Installation with pip:
pip3 install pyplutchik
Installation with conda:
conda install pyplutchik
from pyplutchik import plutchik
emotions = {'joy': 0.6,
'trust': 0.4,
'fear': 0.1,
'surprise': 0.7,
'sadness': 0.1,
'disgust': 0.5,
'anger': 0.4,
'anticipation': 0.6}
plutchik(emotions)PyPlutchik provides a plug-and-play tool for a quantitative representation of Plutchik's emotions in a text or corpus. It is respectful of original colors and spatial displacement of each petal in the Plutchik's wheel. In Pyplutchik users can just pass a dictionary as only parameter, where dictionary's keys must be the 8 basic emotions. Each value must be ∈ [0, 1].
Users can represent also the three degrees of intensity for each emotion, just by providing a 3-dimensional iterable as value for each key in the dictionary. The sum of the components of each 3-dimensional val must be between 0 and 1.
PyPlutchik also represents primary dyads, secondary dyads, tertiary dyads and opposite emotions. It automatically understands what kind of dyad users want to display from the dictionary's keywords.
Integration with matplotlib is easy, so PyPlutchik can be used for also for composed plots.
One can focus on a subset of emotions, ignoring the remaining ones, passing a list of emotions as value of the parameter highlight_emotions:
Or can hide coordinates, ticks and labels, plotting only the petals of the flower, using the parameters show_coordinates = False and show_ticklabels = False:
For a documentation of all parameters and a gallery of examples see the documentation.
🔥 PyPlutchik has been included in the Matplotlib's third-party and user-contributed packages list! 🔥