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
Exercise instructions
- Plot
dataanddata2on 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()