Plot individual components
It is also possible to extract other inferred quantities from your time-series decomposition object. The following code shows you how to extract the observed, trend and noise (or residual, resid) components.
observed = decomposition.observed
trend = decomposition.trend
residuals = decomposition.resid
You can then use the extracted components and plot them individually.
The decomposition object you created in the last exercise is available in your workspace.
Cet exercice fait partie du cours
Visualizing Time Series Data in Python
Instructions
- Extract the
trendcomponent from thedecompositionobject. - Plot this trend component.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Extract the trend component
trend = ____.____
# Plot the values of the trend
ax = ____.____(figsize=(12, 6), fontsize=6)
# Specify axis labels
ax.set_xlabel('Date', fontsize=10)
ax.set_title('Seasonal component the CO2 time-series', fontsize=10)
plt.show()