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In the context of using Pandas API on Spark, what is the significance of the 'toPandasAPI()' method, and how does it differ from the 'toPandas()' method?
In the context of using Pandas API on Spark, what is the significance of the 'toPandasAPI()' method, and how does it differ from the 'toPandas()' method?
Simulated
Explanation:
The 'toPandasAPI()' method in Pandas API on Spark is used to convert a Spark DataFrame to a Pandas on Spark DataFrame, which provides a familiar Pandas-like API for data manipulation. On the other hand, the 'toPandas()' method converts a Spark DataFrame to a Pandas DataFrame, which is not optimized for distributed computing. The key difference between the two methods is the type of DataFrame they produce and their suitability for distributed computing.