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.
Questo esercizio fa parte del corso
Anomaly Detection in Python
Istruzioni dell'esercizio
- Set the
Datecolumn as theappleDataFrame's index. - Create a red lineplot of the
Opencolumn of Apple stocks from the beginning of July 2008 to the 9th of December 2013.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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()