34.performa-penjualan-setiap-cabang-6.py

import matplotlib.pyplot as plt

# Create figure canvas dan axes for 5 line plots
fig, axes = plt.subplots(5, 1, figsize=(8, 25))

# Slicing index
idx = pd.IndexSlice
for i, measurement in enumerate(groupby_city_province.columns):
    # Slicing data untuk masing-masing measurement
    by_measurement = unstack_city_province.loc[:,idx[measurement]]
    # Lakukan resampling pada data tersebut untuk dilakukan perhitungan rata-rata bulanan 
    by_measurement_monthly_mean = by_measurement.resample('M').mean()
    # Plot by_measurement_monthly_mean
    by_measurement_monthly_mean.plot(
        title = 'Average Daily ' + measurement + ' Size in Month View for all Province',
        ax = axes[i]
    )
    axes[i].set_ylabel('avg ' + measurement + ' size')
    axes[i].set_xlabel('month')

# Adjust the layout and show the plot
plt.tight_layout()
plt.show()