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  3. Manipulating Time Series Data in Python

Exercise

Interpolate debt/GDP and compare to unemployment

Since you have learned how to interpolate time series, you can now apply this new skill to the quarterly debt/GDP series, and compare the result to the monthly unemployment rate.

Instructions

100 XP

We have imported pandas as pd and matplotlib.pyplot as plt for you.

  • Use pd.read_csv() to import 'debt_unemployment.csv', creating a DateTimeIndex from the 'date' column using parse_dates and index_col, and assign the result to data. print() the .info() of the data.
  • Apply .interpolate() to data and assign this to interpolated, then inspect the result.
  • Plot interpolated with 'Unemployment' on the secondary_y axis.