class_docstr: pandas-on-Spark specific features for DataFrame.
code: def __init__(self, frame: "DataFrame"):
      self._psdf = frame
  
imports: import inspect
  from typing import Any, Callable, Optional, Tuple, Union, TYPE_CHECKING, cast, List
  from types import FunctionType
  import numpy
  import pandas
  from pyspark.sql import functions
  from pyspark.sql.functions import pandas_udf
  from pyspark.sql.types import DataType, LongType, StructField, StructType
  from pyspark.pandas._typing import DataFrameOrSeries, Name
  from pyspark.pandas.internal import InternalField, InternalFrame, SPARK_INDEX_NAME_FORMAT, SPARK_DEFAULT_SERIES_NAME, SPARK_INDEX_NAME_PATTERN
  from pyspark.pandas.typedef import infer_return_type, DataFrameType, ScalarType, SeriesType
  from pyspark.pandas.utils import is_name_like_value, is_name_like_tuple, name_like_string, scol_for, verify_temp_column_name, log_advice
label_desc: Use image node_id 1 to create a new PandasOnSparkFrameMethods object  with example: obj = PandasOnSparkFrameMethods(frame)