Explode the bounds

You were able to transform the list-like column successfully, but you are not satisfied with the steps you had to take. You want to find an easier way to get the same reshaped DataFrame.

You remembered what you learned about exploding list-like columns, and you will apply a new strategy.

The same DataFrame obesity is available in your session. It contains the country, perc_obesity, and the column bounds with the minimum and maximum values you can find in different parts of the same country.

This exercise is part of the course

Reshaping Data with pandas

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Exercise instructions

Transform the list-like column bounds in the DataFrame obesity to get its elements in different rows.
Modify the resulting DataFrame by resetting the index, dropping the old one.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Transform the list-like column named bounds  
obesity_explode = ____.____(____)

# Modify obesity_explode by resetting the index 
obesity_explode.____(drop=____, inplace=____)

# Print obesity_explode
print(obesity_explode)

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