code: def _pandas_read_csv(cls, f, op):
      csv_kwargs = op.extra_params.copy()
      out_df = op.outputs[0]
      start, end = _find_chunk_start_end(f, op.offset, op.size)
      f.seek(start)
      b = FixedSizeFileObject(f, end - start)
      if hasattr(out_df, "dtypes"):
          dtypes = out_df.dtypes
      else:
          # Output will be a Series in some optimize rules.
          dtypes = pd.Series([out_df.dtype], index=[out_df.name])
      if end == start:
          # the last chunk may be empty
          df = build_empty_df(dtypes)
          if op.keep_usecols_order and not isinstance(op.usecols, list):
              # convert to Series, if usecols is a scalar
              df = df[op.usecols]
      else:
          if start == 0:
              # The first chunk contains header
              # As we specify names and dtype, we need to skip header rows
              csv_kwargs["header"] = op.header
          if op.usecols:
              usecols = (
                  op.usecols
                  if isinstance(op.usecols, list)
                  else [op.usecols]
              )
          else:
              usecols = op.usecols
          if contain_arrow_dtype(dtypes):
              # when keep_default_na is True which is default,
              # will replace null value with np.nan,
              # which will cause failure when converting to arrow string array
              csv_kwargs["keep_default_na"] = False
              csv_kwargs["dtype"] = cls._select_arrow_dtype(dtypes)
          df = pd.read_csv(
              b,
              sep=op.sep,
              names=op.names,
              index_col=op.index_col,
              usecols=usecols,
              nrows=op.nrows,
              **csv_kwargs,
          )
          if op.keep_usecols_order:
              df = df[op.usecols]
      return df
  
imports: from io import BytesIO
  from urllib.parse import urlparse
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType
  from ...lib.filesystem import get_fs, open_file, file_size, glob
  from ...serialization.serializables import StringField, DictField, ListField, Int32Field, Int64Field, BoolField, AnyField
  from ...utils import parse_readable_size, lazy_import, FixedSizeFileObject
  from ..arrays import ArrowStringDtype
  from ..utils import parse_index, build_empty_df, to_arrow_dtypes, contain_arrow_dtype
  from .core import IncrementalIndexDatasource, ColumnPruneSupportedDataSourceMixin, IncrementalIndexDataSourceMixin, merge_small_files
label_desc: Use image node_id 5 for calling the DataFrameReadCSV obj's underlying member method code with example usage: obj._pandas_read_csv(cls, f, op) and returns: df