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 ejercicio forma parte del curso
Anomaly Detection in Python
Instrucciones del ejercicio
- 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.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# 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()