Building a row from a dictionary in PySpark

Last Updated : 18 Jul, 2021

In this article, we will discuss how to build a row from the dictionary in PySpark

For doing this, we will pass the dictionary to the Row() method.

Syntax:

Syntax: Row(dict)

Example 1: Build a row with key-value pair (Dictionary) as arguments.

Here, we are going to pass the Row with Dictionary

Syntax: Row({‘Key’:”value”, ‘Key’:”value”,’Key’:”value”})

Python3

# import Row 
from pyspark.sql import Row 
  
# dict 
dic = {'First_name':"Sravan",  
       'Last_name':"Kumar", 
       'address':"hyderabad"} 
  
# create a row with three values 
# as dictionary. 
row = Row(dic) 
  
# display row 
print(row)

Output:

<Row({‘First_name’: ‘Sravan’, ‘Last_name’: ‘Kumar’, ‘address’: ‘hyderabad’})>

Example 2: Python program to build two Rows with dictionary.

Syntax: Row(dict, dict)

Code:

Python3

# import Row 
from pyspark.sql import Row 
  
dic_1 = {'First_name':"Sravan",  
         'Last_name':"Kumar", 
         'address':"hyderabad"} 
  
dic_2 = {'First_name':"Bobby", 
         'Last_name':"Gottumukkala", 
         'address':"Ponnur"} 
  
# create two rows with 
# three values as dictionary. 
row = [Row(dic_1), 
       Row(dic_2)] 
# display row 
print(row)

Output:

[<Row({‘First_name’: ‘Sravan’, ‘Last_name’: ‘Kumar’, ‘address’: ‘hyderabad’})>,

<Row({‘First_name’: ‘Bobby’, ‘Last_name’: ‘Gottumukkala’, ‘address’: ‘Ponnur’})>]

Suggest improvement

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