class_docstr: Parameters
  ----------
  data : Buffer
      The Timedelta values
  dtype : np.dtype
      The data type
  size : int
      Size of memory allocation.
  mask : Buffer; optional
      The validity mask
  offset : int
      Data offset
  null_count : int, optional
      The number of null values.
      If None, it is calculated automatically.
docstr: Number of seconds (>= 0 and less than 1 day).
  
  Returns
  -------
  NumericalColumn
docstr_tok: ["Number","of","seconds","(",">","=","0","and","less","than","1","day",")",".","Returns","--","--","--","-","NumericalColumn"]
code: def seconds(self) -> "cudf.core.column.NumericalColumn":
      """
      Number of seconds (>= 0 and less than 1 day).
  
      Returns
      -------
      NumericalColumn
      """
      # This property must return the number of seconds (>= 0 and
      # less than 1 day) for each element, hence first performing
      # mod operation to remove the number of days and then performing
      # division operation to extract the number of seconds.
  
      return (
          self
          % cudf.Scalar(
              np.timedelta64(_unit_to_nanoseconds_conversion["D"], "ns")
          )
      ) // cudf.Scalar(
          np.timedelta64(_unit_to_nanoseconds_conversion["s"], "ns")
      )
  
imports: from __future__ import annotations
  import datetime
  from typing import Any, Optional, Sequence, cast
  import numpy
  import pandas
  import pyarrow
  from typing_extensions import Self
  import cudf
  from cudf import _lib
  from cudf._typing import ColumnBinaryOperand, DatetimeLikeScalar, Dtype
  from cudf.api.types import is_scalar, is_timedelta64_dtype
  from cudf.core.buffer import Buffer, acquire_spill_lock
  from cudf.core.column import ColumnBase, column, string
  from cudf.utils.dtypes import np_to_pa_dtype
  from cudf.utils.utils import _all_bools_with_nulls
label_desc: Use image node_id 22 for calling the TimeDeltaColumn obj's underlying member method code with example usage: obj.seconds() and returns: unknown