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.
Diese Übung ist Teil des Kurses
Visualizing Time Series Data in Python
Anleitung zur Übung
- Extract the
trendcomponent from thedecompositionobject. - Plot this trend component.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# 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()