Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Filtering the DataFrame | Pandas
Unveiling the Power of Data Manipulation with Pandas
course content

Contenido del Curso

Unveiling the Power of Data Manipulation with Pandas

bookFiltering 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.

Tarea
test

Swipe to show code editor

  1. 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.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 1. Capítulo 4
We're sorry to hear that something went wrong. What happened?
some-alt