Creating a DateTimeIndex

Having a DatetimeIndex is helpful for several reasons. First, you can use brackets notation to choose arbitrary time periods or write only a line of code to create line plots.

Practice these operations on the apple stocks dataset, which has been loaded with Date as a datetime column.

This exercise is part of the course

Anomaly Detection in Python

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Exercise instructions

Set the Date column as the apple DataFrame's index.
Create a red lineplot of the Open column of Apple stocks from the beginning of July 2008 to the 9th of December 2013.

Hands-on interactive exercise

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

# Set the Date column as a DatetimeIndex
apple.____(____)

# Plot the opening prices for the instructed range
apple____

plt.title("Opening prices of Apple stocks from the beginning of July of 2008 to December of 2013.")
plt.show()

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