Python PySpark – DataFrame filter on multiple columns

In this article, we are going to filter the dataframe on multiple columns by using filter() and where() function in Pyspark in Python.

Creating Dataframe for demonestration:

Output:

Method 1: Using filter() Method

filter() is used to return the dataframe based on the given condition by removing the rows in the dataframe or by extracting the particular rows or columns from the dataframe. We are going to filter the dataframe on multiple columns. It can take a condition and returns the dataframe.

Syntax:

filter(dataframe.column condition)

Example 1: Conditional operator includes boolean or logical or relational operators.

Output:

Example 2: Python program to filter data based on two columns. In this example, we created a pyspark dataframe and select dataframe where ID less than 3 or name is Sridevi

Output:

Example 3: Multiple columns filtering

Output:

Method 2: where() method

Where: where is similar to filter() function that is used to return the dataframe based on the given condition by removing the rows in the dataframe or by extracting the particular rows or columns from the dataframe. It can take a condition and returns the dataframe.

where(dataframe.column condition)

Example 1: Python program to filter on multiple columns

Output:

sravankumar_171fa07058

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Article Tags :

• Python
• Python-Pyspark

Practice Tags :

• python