Iterating with .iterrows()

In the video, we discussed that .iterrows() returns each DataFrame row as a tuple of (index, pandas Series) pairs. But, what does this mean? Let's explore with a few coding exercises.

A pandas DataFrame has been loaded into your session called pit_df. This DataFrame contains the stats for the Major League Baseball team named the Pittsburgh Pirates (abbreviated as 'PIT') from the year 2008 to the year 2012. It has been printed into your console for convenience.

1
Use .iterrows() to loop over pit_df and print each row. Save the first item from .iterrows() as i and the second as row.
2
Add two lines to the loop: one before print(row) to print each index variable and one after to print each row's type.
3
Instead of using i and row in the for statement to store the output of .iterrows(), use one variable named row_tuple.
4
Add a line in the for loop to print the type of each row_tuple.

Exercise

Iterating with .iterrows()

Instructions 1/4