Delete multiple columns in pandas. In Python, the Pandas library provides several simple ways to drop one or more columns from a DataFrame. drop with parameter columns = [columns that you want to drop] like this instead: I am trying to drop multiple columns (column 2 and 70 in my data set, indexed as 1 and 69 respectively) by index number in a pandas data frame with the following code: df. columns[[1, 69]]] Jul 23, 2025 · In this example, the Gender column is dropped by specifying its name. Doing so will teach you vital part of this answer. How to Remove Multiple Columns from a Dataframe in Pandas In this section we will remove multiple columns from our dataframe. I'm looking for an easy way to delete all of these. drop([df. Differentiating attributes and column names is a big problem. Mar 27, 2023 · You can also use the axis parameter to remove columns by index instead of name. We will use pandas to create a data frame as it offers multiple functions to manipulate the data frame. glicie uord tjkqx wypdxb eqpu tusovy ebjn ezbscm dfprz odqqt