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.

Este exercício faz parte do curso

Anomaly Detection in Python

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Instruções do exercício

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.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# 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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