Filtering the DataFrame

Filtering a pandas DataFrame refers to selecting rows based on a specific condition. You can filter a DataFrame using the [] operator with conditions inside, such as df[df['column'] > value], or the .query() method, like df.query('column > value').

For example, suppose you have a DataFrame df with columns "Name", "Age", and "Gender", and you want to select all rows where the values of the "Age" column are greater than 30. You can use the following code to filter the DataFrame:

You can also use the "&" (logical and) and "|" (logical or) operators to combine multiple conditions.

Tarefa

Swipe to show code editor

Filter the data DataFrame using multiple conditions (use the logical and operator to combine them):
- The value of the 'MANAGER_ID' column is greater than 100.
- The value of the 'LOCATION_ID' column is equal to 1700.

Mark tasks as Completed

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Obrigado pelo seu feedback!

You can also use the "&" (logical and) and "|" (logical or) operators to combine multiple conditions.

Tarefa

Swipe to show code editor

Filter the data DataFrame using multiple conditions (use the logical and operator to combine them):
- The value of the 'MANAGER_ID' column is greater than 100.
- The value of the 'LOCATION_ID' column is equal to 1700.

Mark tasks as Completed

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 1. Capítulo 4

AVAILABLE TO ULTIMATE ONLY