Multiple time series slices (1)

You can easily slice subsets corresponding to different time intervals from a time series. In particular, you can use strings like '2001:2005', '2011-03:2011-12', or '2010-04-19:2010-04-30' to extract data from time intervals of length 5 years, 10 months, or 12 days respectively.

Unlike slicing from standard Python lists, tuples, and strings, when slicing time series by labels (and other pandas Series & DataFrames by labels), the slice includes the right-most portion of the slice. That is, extracting my_time_series['1990':'1995'] extracts data from my_time_series corresponding to 1990, 1991, 1992, 1993, 1994, and 1995 inclusive.
You can use partial strings or datetime objects for indexing and slicing from time series.

For this exercise, you will use time series slicing to plot the time series aapl over its full 11-year range and also over a shorter 2-year range. You'll arrange these plots in a \(2\times1\) grid of subplots

Plot the series aapl in 'blue' in the top subplot of a vertically-stacked pair of subplots, with the xticks rotated to 45 degrees.
Extract a slice named view from the series aapl containing data from the years 2007 to 2008 (inclusive). This has been done for you.
Plot the slice view in black in the bottom subplot.

Exercise

Multiple time series slices (1)

Instructions