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Plotting a time series (II)

You'll now plot both the datasets again, but with the included time stamps for each (stored in the column called "time"). Let's see if this gives you some more context for understanding each time series data.

Questo esercizio fa parte del corso

Machine Learning for Time Series Data in Python

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Istruzioni dell'esercizio

  • Plot data and data2 on top of one another, one per axis object.
  • The x-axis should represent the time stamps and the y-axis should represent the dataset values.

esercizio interattivo pratico

Prova questo esercizio completando questo codice di esempio.

# Plot the time series in each dataset
fig, axs = plt.subplots(2, 1, figsize=(5, 10))
data.iloc[:1000].plot(x=____, y=____, ax=axs[0])
data2.iloc[:1000].plot(x=____, y=____, ax=axs[1])
plt.show()
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