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.

Deze oefening maakt deel uit van de cursus

Anomaly Detection in Python

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Oefeninstructies

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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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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