B. Сердечная задача

import matplotlib.pyplot as plt
import numpy as np
plt.style.use("ggplot")
from json import loads

file = open("medic_data.json")
data = loads(file.read())
before = data['before']
after = data['after']
degrees_of_mitral_regurgitation = ['I', 'II', 'III', 'IV']
width = 0.3
x = np.arange(4)
fig, axis = plt.subplots()
print(before)
print(after)
degrees = np.array([['I'], ['II'], ['III'], ['IV']])
before_cnt = np.sum((np.array(before == degrees)), axis=1)
after_cnt = np.sum((np.array(after == degrees)), axis=1)
print(before_cnt)
print(after_cnt)
rects_before = axis.bar(x - width/2, before_cnt, width, label = 'before', color = 'sandybrown')
rects_after =  axis.bar(x + width/2, after_cnt, width, label = 'after', color = 'cornflowerblue')
axis.set_title('Mitral disease stages', fontsize=17, fontweight="bold", c="dimgray")
axis.set_ylabel("amount of people", fontsize=10, fontweight="bold", c="dimgray")
axis.set_xticks(x)
axis.set_xticklabels(degrees_of_mitral_regurgitation)
axis.legend()
plt.show()

fig.savefig('Mitral disease stages.png', bbox_inches='tight')