Duplicate rows could be remove or drop from Spark SQL DataFrame using distinct() and dropDuplicates() functions, distinct() can be used to remove rows
You can useDataFrame.duplicated() without any arguments todrop columnswith the same values on all columns. It takes default valuessubset=Noneandkeep=‘first’. The below example returns four columns after removing duplicate columns in our DataFrame. # Remove repeted columns in a DataFrame df2 = ...
What you will learn:In this edition, I'm going to guide you through how to explore and visualize data using Microsoft Fabric notebooks. We'll start by understanding why this tool is so helpful for your workflow, then move on to how you can make use of...
Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values Replace cells with missing values with...
Learn how to explore and transform Spark DataFrames with Data Wrangler, generating PySpark code in real time.
Note:collect() action collects all rows from all workers to PySpark Driver, hence, if your data is huge and doesn’t fit in Driver memory it returns an Outofmemory error hence, be careful when you are using collect. 1. Convert PySpark Column to List Using map() ...
Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values Replace cells with missing values with...
Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values Replace cells with missing values with...
Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values Replace cells with missing values with...
Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values Replace cells with missing values with...