In Spark 3.0 and later, df.to_pandas() is the recommended method for converting a PySpark Pandas DataFrame to a Pandas DataFrame due to its clarity and directness. However, ps.pandas_df(df) and ps.to_pandas(df) are also valid, especially in contexts where an alias for the SparkSession object is preferred or in older Spark versions. The method df.to_pd() is less common but functionally equivalent. All options perform the conversion by bringing the distributed PySpark Pandas DataFrame into a local Pandas DataFrame on the driver machine.