likert.py

import pandas as pd
import plot_likert

q1 = "pertinence"
q2 = "sentiment de\ncompétence"
q3 = "expérience"
myscale = ['Fortement en désaccord', 'Plutôt en désaccord',"Plutôt d'accord", "Fortement d'accord"]
precomputed_counts = pd.DataFrame(
    {myscale[0]: {q1: 1, q2: 1, q3:1},
     myscale[1]: {q1: 2, q2: 1, q3:1},
     myscale[2]: {q1: 7, q2: 5, q3:10},
     myscale[3]: {q1: 10, q2: 12, q3:7}
    }
)

print(precomputed_counts)#plot_likert.colors.likert4
az = plot_likert.plot_counts(counts=precomputed_counts, colors = plot_likert.colors.likert4,scale=myscale, bar_labels=True, plot_percentage=False, figsize=(10,5))
az.set_xlabel("Répondants")
#legend = az.get_legend()
#legend.set_bbox_to_anchor((1.5, 5))
az.spines['top'].set_visible(False)
az.spines['right'].set_visible(False)
az.spines['left'].set_visible(False)
az.tick_params(left = False) 
#az.spines['bottom'].set_visible(False)
#az.set_yticks('off')

box = az.get_position()
az.set_position([box.x0, box.y0, box.width * 0.8, box.height])
az.legend(loc='center left', bbox_to_anchor=(1, 0.5))
az.get_legend().get_frame().set_linewidth(0.0)

#az.get_legend().remove()
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages

# Assuming you have already created the plot 'az' using plot_likert
# Save the plot to a PDF file
with PdfPages('likert_plot.pdf') as pdf:
    pdf.savefig(az.figure)
    plt.close()

print("The likert plot has been saved to likert_plot.pdf")