code: def _pandas_read_parquet(cls, ctx: dict, op: "DataFrameReadParquet"):
      out = op.outputs[0]
      path = op.path
  
      if op.partitions is not None:
          return cls._execute_partitioned(ctx, op)
  
      engine = get_engine(op.engine)
      with open_file(path, storage_options=op.storage_options) as f:
          use_arrow_dtype = contain_arrow_dtype(out.dtypes)
          if op.groups_as_chunks:
              df = engine.read_group_to_pandas(
                  f,
                  op.group_index,
                  columns=op.columns,
                  nrows=op.nrows,
                  use_arrow_dtype=use_arrow_dtype,
                  **op.read_kwargs or dict(),
              )
          else:
              df = engine.read_to_pandas(
                  f,
                  columns=op.columns,
                  nrows=op.nrows,
                  use_arrow_dtype=use_arrow_dtype,
                  **op.read_kwargs or dict(),
              )
  
          ctx[out.key] = df
  
imports: import os
  from typing import Dict
  from urllib.parse import urlparse
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...lib.filesystem import file_size, get_fs, glob, open_file, FileSystem
  from ...serialization.serializables import AnyField, BoolField, DictField, ListField, StringField, Int32Field, Int64Field
  from ...utils import is_object_dtype, lazy_import
  from ..arrays import ArrowStringDtype
  from ..operands import OutputType
  from ..utils import parse_index, to_arrow_dtypes, contain_arrow_dtype
  from .core import IncrementalIndexDatasource, ColumnPruneSupportedDataSourceMixin, IncrementalIndexDataSourceMixin, merge_small_files
label_desc: Use image node_id 8 for calling the DataFrameReadParquet obj's underlying member method code with example usage: obj._pandas_read_parquet(cls, ctx, op) and returns: cls