class_docstr: This is dummy DataFrame class,
  which imitates pyspark.sql.dataframe.DataFrame class
  for testing purposes.
class_docstr_tok: ["This","is","dummy","DataFrame","class",",","which","imitates","pyspark.sql.dataframe.DataFrame","class","for","testing","purposes","."]
code: def __init__(
      self,
      is_map: bool = False,
      is_numpy_arr: bool = False,
      num_of_rows: int = 50000,
  ):
      self._data: pd.DataFrame | None = None
      self._is_map: bool = is_map
      self._num_of_rows: int = num_of_rows
      self._is_numpy_arr: bool = is_numpy_arr
      self._limit: int = 0
  
file_path: streamlit/lib/tests/streamlit/pyspark_mocks.py
imports: from __future__ import annotations
  import numpy
  import pandas
  from pyspark.sql.dataframe import DataFrame
  from pyspark.sql.session import SparkSession
  from pyspark.sql.types import FloatType, IntegerType, StringType, StructField, StructType
label_desc: Use image node_id 1 to create a new DataFrame object  with example: obj = DataFrame(is_map, is_numpy_arr, num_of_rows)