Most asked top Interview Questions and Answers | Online Test | Mock Test
Prepare Interview
Ask Question

Mock Exams

Make Homepage

Bookmark this page

Subscribe Email Address

Question: How can you handle missing or null values in a PySpark DataFrame?
Answer: You can use the 'na' functions like 'drop' or 'fill' to handle missing values in a PySpark DataFrame.

Example:

df.na.drop()
Is it helpful? Yes No

Most helpful rated by users:

©2025 WithoutBook