Answer: `pdf = df.to_pandas()`, `pdf = ps.pandas_df(df)`, `pdf = ps.to_pandas(df)`

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.

Author: LeetQuiz Editorial Team