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Provide a detailed example of converting a PySpark DataFrame to a Pandas on Spark DataFrame and vice versa. Include the necessary code snippets and explain the implications of each conversion on data processing.
A
Conversion from PySpark to Pandas on Spark involves using the toPandas() method, which collects data to the driver node, potentially causing memory issues for large datasets.
toPandas()
B
Conversion from PySpark to Pandas on Spark involves using the toPandas() method, which distributes data processing across the cluster, improving performance for large datasets.
C
Conversion from Pandas on Spark to PySpark involves using the createDataFrame() method, which can lead to significant performance improvements due to Spark's distributed processing.
createDataFrame()
D
Conversion from Pandas on Spark to PySpark involves using the createDataFrame() method, which collects data to the driver node, potentially causing memory issues for large datasets.
