day 11 : american express scenario based interview questions and answers in pyspark

Опубликовано: 28 Август 2026
на канале: DEwithDhairy
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51

Create DataFrame Code

friends_data = [(1, 2),
(1, 3),
(1, 4),
(2, 1),
(3, 1),
(3, 4),
(4, 1),
(4, 3)]

friend_schema = "user_id int , friend_id int"
friends_df = spark.createDataFrame(data =friends_data , schema = friend_schema )

likes_data = [
(1, 'A'),
(1, 'B'),
(1, 'C'),
(2, 'A'),
(3, 'B'),
(3, 'C'),
(4, 'B')
]


like_schema = "user_id int , page_id string"
likes_df = spark.createDataFrame(data =likes_data , schema = like_schema )

display(friends_df)
display(likes_df)


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