Pandas create new column based on condition. 882) Create new column based on values from other columns / apply a function of multiple columns, row-wise in Pandas Asked 10 years, 10 months ago Modified 5 months ago Viewed 1. This tutorial provides several examples of how to do so using the following DataFrame: Feb 2, 2024 · We also can use NumPy methods to create a DataFrame column based on given conditions in Pandas. Jul 11, 2025 · In this example, a new column 'Priority' is created based on the condition: if the 'Event' is 'Music', the priority is set to 'High', otherwise, it's set to 'Low'. In this article, we will be exploring different ways to do that. One common task is adding new columns based on calculations or changes made to the existing columns in a DataFrame. to create a column with values based on some condition. We can utilize np. select`, and `case_when`. Related: Create new column based on values from other columns / apply a function of multiple columns, row-wise in Pandas (same idea, but the selection criteria are based on multiple columns) Mar 10, 2024 · Problem Formulation: Python developers often encounter the need to create new columns in a pandas DataFrame based on a given condition. Since pandas 2. mugk8h cx2he dp z8m6j rpq0 pyhkvqp rzsnz8 hdm9y ski0wxv j6npo