41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
|
|
from tools.statistics import extract, ressource
|
|
|
|
|
|
def analyse(datas: list[dict]) -> plt.Figure:
|
|
experience_completion: dict[str, int] = dict.fromkeys(ressource.experience.choices, 0)
|
|
experience_count: dict[str, int] = dict.fromkeys(ressource.experience.choices, 0)
|
|
|
|
for data in datas:
|
|
experience = extract.experience.extract(data)
|
|
experience_count[experience] += 1
|
|
|
|
for survey, survey_data in data["surveys"].items():
|
|
# only scan survey mission
|
|
if not survey.startswith("mission-"):
|
|
continue
|
|
|
|
if extract.mission_completed.extract(data, survey):
|
|
experience_completion[experience] += 1
|
|
|
|
x = list(experience_completion.keys())
|
|
y = (
|
|
np.array(list(experience_completion.values()))
|
|
/ np.array(list(experience_count.values()))
|
|
)
|
|
|
|
# prepare plotting
|
|
figure: plt.Figure = plt.figure()
|
|
axes = figure.add_subplot(1, 1, 1)
|
|
axes.set_title("Nombre moyen de mission complété par opinion")
|
|
|
|
# bar chart
|
|
axes.bar(x, y, color=ressource.experience.colors, edgecolor='black')
|
|
axes.set_xticks(x)
|
|
axes.set_xticklabels(ressource.experience.labels)
|
|
axes.set_xlabel("Expérience")
|
|
axes.set_ylabel("Complétion")
|
|
|
|
return figure
|