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.
Este ejercicio forma parte del curso
Reshaping Data with pandas
Instrucciones del ejercicio
- Transform the list-like column
boundsin the DataFrameobesityto get its elements in different rows. - Modify the resulting DataFrame by resetting the index, dropping the old one.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# 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)