Trend and Seasonality Modeling.py

from statsmodels.tsa.seasonal import seasonal_decompose

# Decompose the time series into its trend, seasonal, and residual components
decomposition = seasonal_decompose(data, model='additive')

# Plot the decomposed time series
fig, ax = plt.subplots()
ax.plot(decomposition.trend, label='Trend')
ax.plot(decomposition.seasonal, label='Seasonal')
ax.plot(decomposition.resid, label='Residual')
ax.legend()
plt.show()