Pandas DataFrame: combine_first() function
DataFrame - combine_first() function
The combine_first() function is used to update null elements with value in the same location in other.
Combine two DataFrame objects by filling null values in one DataFrame with non-null values from other DataFrame. The row and column indexes of the resulting DataFrame will be the union of the two.
Syntax:DataFrame.combine_first(self, other)
Parameters:
| Name | Description | Type/Default Value | Required / Optional |
|---|---|---|---|
| other | Provided DataFrame to use to fill null values. |
DataFrame | Required |
Returns: DataFrame
Example:
Download the Pandas DataFrame Notebooks from here.
Previous: DataFrame - combine() function
Next: DataFrame - apply() function
- Weekly Trends
- Python Interview Questions and Answers: Comprehensive Guide
- Scala Exercises, Practice, Solution
- Kotlin Exercises practice with solution
- MongoDB Exercises, Practice, Solution
- SQL Exercises, Practice, Solution - JOINS
- Java Basic Programming Exercises
- SQL Subqueries
- Adventureworks Database Exercises
- C# Sharp Basic Exercises
- SQL COUNT() with distinct
- JavaScript String Exercises
- JavaScript HTML Form Validation
- Java Collection Exercises
- SQL COUNT() function
- SQL Inner Join