Explanation:
To import and use the Pandas on Spark APIs in a Databricks notebook, you should use import pyspark.pandas as ps. This allows you to create and manipulate DataFrames using the familiar Pandas API syntax, such as ps.DataFrame(), while leveraging the distributed processing capabilities of Spark.
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Discuss how to import and use the Pandas on Spark APIs in a Databricks notebook. Provide a detailed example of importing the necessary modules and performing a basic data manipulation task using these APIs.
A
Importing Pandas on Spark APIs requires using import pyspark.pandas as ps, and basic data manipulation can be performed using methods like ps.DataFrame().
B
Importing Pandas on Spark APIs requires using import pandas as pd, and basic data manipulation can be performed using methods like pd.DataFrame().
C
Importing Pandas on Spark APIs requires using import spark.pandas as ps, and basic data manipulation can be performed using methods like ps.DataFrame().
D
Importing Pandas on Spark APIs requires using import pyspark.pandas as ps, and basic data manipulation can be performed using methods like ps.DataFrame().