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Answer: pandas_df = spark_df.toPandas() spark_df = pandas_df.to_spark()
To convert a PySpark DataFrame to a Pandas DataFrame, you can use the 'toPandas()' method. To convert a Pandas DataFrame to a PySpark DataFrame using Pandas API on Spark, you can use the 'to_spark()' method. The correct code snippet is shown in option C, which demonstrates the conversion between the two DataFrame types using Pandas API on Spark.
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Consider a PySpark DataFrame named 'spark_df' and a Pandas DataFrame named 'pandas_df'. Write a code snippet that demonstrates the conversion between these two DataFrame types using Pandas API on Spark.
A
pandas_df = spark_df.toPandas() spark_df = pandas_df.toSpark()
B
pandas_df = spark_df.toPandasAPI() spark_df = pandas_df.toSparkAPI()
C
pandas_df = spark_df.toPandas() spark_df = pandas_df.to_spark()
D
pandas_df = spark_df.toPandas() spark_df = spark_df.createDataFrame(pandas_df)
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