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Building a row from a dictionary in PySpark

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  • Last Updated : 18 Jul, 2021
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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’})>]


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