code: def memory_usage(f):
      return f(
          "memory_usage",
          reason="Unlike pandas, most DataFrames are not materialized in memory in Spark "
          "(and pandas-on-Spark), and as a result memory_usage() does not do what you intend it "
          "to do. Use Spark's web UI to monitor disk and memory usage of your application.",
      )
  
file_path: spark/python/pyspark/pandas/missing/common.py
label_desc: Use image node_id 1 for calling a global function with example usage: memory_usage(f) and returns: f