lojas = ['A', 'B', 'C', 'D']

vendas_2022 = {'Jan': [100, 80, 150, 50],
    'Fev': [120, 90, 170, 60],
    'Mar': [150, 100, 200, 80],
    'Abr': [180, 110, 230, 90],
    'Mai': [220, 190, 350, 200],
    'Jun': [230, 150, 280, 120],
    'Jul': [250, 170, 300, 140],
    'Ago': [260, 180, 310, 150],
    'Set': [240, 160, 290, 130],
    'Out': [220, 140, 270, 110],
    'Nov': [400, 220, 350, 190],
    'Dez': [300, 350, 400, 250]
}

import pandas as pd 
import matplotlib.pyplot as plt

vendas_2022 = pd.DataFrame(vendas_2022, index = lojas)
vendas_2022.index.name = 'loja'
vendas_2022

fig, axs = plt.subplots(2,2, figsize=(12,6))
fig.subplots_adjust(hspace=0.5, wspace=0.3)
fig.suptitle('Vendas por mês do ano de 2022', fontsize = 15)


axs[0,0].plot(vendas_2022.loc['A'],'--k')
axs[0,0].set_title('Loja A')

axs[0,1].plot(vendas_2022.loc['B'],'--k')
axs[0,1].set_title('Loja B')

axs[1,0].plot(vendas_2022.loc['C'],'--k')
axs[1,0].set_title('Loja C')

axs[1,1].plot(vendas_2022.loc['D'],'--k')
axs[1,1].set_title('Loja D')


for ax in axs.flat:
  ax.set_xlabel('Mês')
  ax.set_ylabel('Vendas')
  

ymin = 0
ymax = 450

for ax in axs.ravel():
  ax.set_ylim(ymin, ymax)


plt.show()