code: def dataframe_getitem(df, item):
      columns_set = set(df.dtypes.keys())
  
      if (
          isinstance(item, (np.ndarray, pd.Series))
          and item.dtype != np.bool_
      ):
          item = item.tolist()
  
      if isinstance(item, slice):
          edge = item.start if item.start is not None else item.stop
          if isinstance(edge, Integral):
              return df.iloc[item]
          else:
              return df.loc[item]
      elif isinstance(item, list):
          for col_name in item:
              if col_name not in columns_set:
                  raise KeyError(f"{col_name} not in columns")
          op = DataFrameIndex(
              col_names=item, output_types=[OutputType.dataframe]
          )
      elif isinstance(item, _list_like_types) or hasattr(
          item, "dtypes"
      ):
          # NB: don't enforce the dtype of `item` to be `bool` since it may be unknown
          if isinstance(item, DATAFRAME_TYPE + SERIES_TYPE):
              identical_index = (
                  df.index_value.key == item.index_value.key
              )
          else:
              identical_index = False
          op = DataFrameIndex(
              mask=item,
              identical_index=identical_index,
              output_types=[OutputType.dataframe],
          )
      else:
          if item not in columns_set:
              raise KeyError(f"{item} not in columns {columns_set}")
          op = DataFrameIndex(col_names=item)
      return op(df)
  
imports: import itertools
  from numbers import Integral
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...serialization.serializables import AnyField, Int32Field, BoolField
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ...tensor.datasource import tensor
  from ...utils import has_unknown_shape
  from ..align import align_dataframe_series, align_dataframe_dataframe
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE, DATAFRAME_TYPE, DATAFRAME_CHUNK_TYPE, is_chunk_meta_lazy
  from ..merge import DataFrameConcat
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, in_range_index
  from .utils import calc_columns_index
label_desc: Use image node_id 1 for calling a global function with example usage: dataframe_getitem(df, item) and returns: op, df, df