Solution 2.1

Perform the following steps to complete the activity:

1. Import the pandas library:

   import pandas as pd

2. Read the US_GDP.csv file from the Datasets directory into a DataFrame named GDP_data. The data is stored in two columns, date and GDP, and the date is read in (by default) as the object type. The goal of this activity is to first convert the date column into a timestamp and then set this column as the index. Finally, save the updated dataset to a new file:

   fname = '../Datasets/US_GDP.csv'
   GDP_data = pd.read_csv(fname)

   Note

   Please change the path of the dataset file (highlighted) based on where you have downloaded it in your system. You can download the file from The-Pandas-Workshop/US_GDP.csv at master · PacktWorkshops/The-Pandas-Workshop · GitHub.

3. Display the head of GDP_data so that you can see the format of the data in the file:

   GDP_data.head()

The output should look as follows:

Figure 15.4 – First five...