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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.

Bu egzersiz

Analyzing IoT Data in Python

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • 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.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Import modules
____

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

# Print the seasonal component
____

# Plot the result
____

# Show the plot
plt.show()
Kodu Düzenle ve Çalıştır