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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.

This exercise is part of the course

Machine Learning for Time Series Data in Python

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Exercise instructions

  • 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.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# 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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