LoslegenKostenlos loslegen

Seasonal decomposition

In the last exercise, you identified some repetitive patterns in the traffic data with both visual inspection and using an autocorrelation plot.

You'll now dissect this data further by splitting it into it's components.

The data has been loaded for you into traffic.

Diese Übung ist Teil des Kurses

Analyzing IoT Data in Python

Kurs anzeigen

Anleitung zur Übung

  • Import statsmodels.api as sm.
  • Perform seasonal decomposition on the time series "vehicles" column from the DataFrame traffic and assign the result to res.
  • Print the seasonal component to screen.
  • Plot the time series decomposition result.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Import modules
____

# Perform decompositon 
res = sm.tsa.____(____[____])

# Print the seasonal component
____

# Plot the result
____

# Show the plot
plt.show()
Code bearbeiten und ausführen