import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
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]
}
dados = pd.DataFrame(vendas_2022, index=lojas)
dados
meses = dados.columns.tolist()
A = dados.loc['A', meses]
B = dados.loc['B', meses]
C = dados.loc['C', meses]
D = dados.loc['D', meses]
dados.describe()
fig, axs = plt.subplots(2,2, figsize=(10,6))
fig.suptitle('Vendas de cada loja 2022:')
fig.subplots_adjust(hspace=0.5, wspace=0.3)
axs[0,0].plot(dados.loc['A', meses])
axs[0,0].set_title('A')
axs[0,1].plot(dados.loc['B', meses])
axs[0,1].set_title('B')
axs[1,0].plot(dados.loc['C', meses])
axs[1,0].set_title('C')
axs[1,1].plot(dados.loc['D', meses])
axs[1,1].set_title('D')
ymin= 0
ymax=500
for ax in axs.flat:
ax.set(xlabel='Meses', ylabel='Vendas')
ax.grid(True)
for ax in axs.flat:
ax.set_ylim(ymin, ymax)
plt.tight_layout()
plt.show()
