class_docstr: Class for resampling timeseries data.
  
  This class is commonly encountered when using ``obj.resample(...)`` which
  return ``Resampler`` objects.
  
  Parameters
  ----------
  obj : Dask DataFrame or Series
      Data to be resampled.
  rule : str, tuple, datetime.timedelta, DateOffset or None
      The offset string or object representing the target conversion.
  kwargs : optional
      Keyword arguments passed to underlying pandas resampling function.
  
  Returns
  -------
  Resampler instance of the appropriate type
code: def ohlc(self):
      return self._agg("ohlc")
  
imports: from __future__ import annotations
  import numpy
  import pandas
  from pandas.core.resample import Resampler
  from dask.base import tokenize
  from dask.dataframe import methods
  from dask.dataframe._compat import PANDAS_GE_140
  from dask.dataframe.core import DataFrame, Series
  from dask.highlevelgraph import HighLevelGraph
  from dask.utils import derived_from
label_desc: Use image node_id 12 for calling the Resampler obj's underlying member method code with example usage: obj.ohlc() and returns: self