class_docstr: Provide expanding window calculations.
  
  Parameters
  ----------
  min_periods : int, default 1
      Minimum number of observations in window required to have a value;
      otherwise, result is ``np.nan``.
  
  axis : int or str, default 0
      If ``0`` or ``'index'``, roll across the rows.
  
      If ``1`` or ``'columns'``, roll across the columns.
  
      For `Series` this parameter is unused and defaults to 0.
  
  method : str {'single', 'table'}, default 'single'
      Execute the rolling operation per single column or row (``'single'``)
      or over the entire object (``'table'``).
  
      This argument is only implemented when specifying ``engine='numba'``
      in the method call.
  
      .. versionadded:: 1.3.0
  
  Returns
  -------
  pandas.api.typing.Expanding
  
  See Also
  --------
  rolling : Provides rolling window calculations.
  ewm : Provides exponential weighted functions.
  
  Notes
  -----
  See :ref:`Windowing Operations <window.expanding>` for further usage details
  and examples.
  
  Examples
  --------
  >>> df = pd.DataFrame({"B": [0, 1, 2, np.nan, 4]})
  >>> df
       B
  0  0.0
  1  1.0
  2  2.0
  3  NaN
  4  4.0
  
  **min_periods**
  
  Expanding sum with 1 vs 3 observations needed to calculate a value.
  
  >>> df.expanding(1).sum()
       B
  0  0.0
  1  1.0
  2  3.0
  3  3.0
  4  7.0
  >>> df.expanding(3).sum()
       B
  0  NaN
  1  NaN
  2  3.0
  3  3.0
  4  7.0
class_docstr_tok: ["Provide","expanding","window","calculations",".","Parameters","--","--","--","--","--","min_periods",":","int",",","default","1","Minimum","number","of","observations","in","window","required","to","have","a","value",";","otherwise",",","result","is","``","np.nan","``",".","axis",":","int","or","str",",","default","0","If","``","0","``","or","``","'index","'","``",",","roll","across","the","rows",".","If","``","1","``","or","``","'columns","'","``",",","roll","across","the","columns",".","For","`","Series","`","this","parameter","is","unused","and","defaults","to","0.","method",":","str","{","'single","'",",","'table","'","}",",","default","'single'","Execute","the","rolling","operation","per","single","column","or","row","(","``","'single","'","``",")","or","over","the","entire","object","(","``","'table","'","``",")",".","This","argument","is","only","implemented","when","specifying","``","engine='numba","'","``","in","the","method","call",".","..","versionadded",":",":","1.3.0","Returns","--","--","--","-","pandas.api.typing.Expanding","See","Also","--","--","--","--","rolling",":","Provides","rolling","window","calculations",".","ewm",":","Provides","exponential","weighted","functions",".","Notes","--","--","-","See",":","ref",":","`","Windowing","Operations","<","window.expanding",">","`","for","further","usage","details","and","examples",".","Examples","--","--","--","--",">",">",">","df","=","pd.DataFrame","(","{","``","B","''",":","[","0",",","1",",","2",",","np.nan",",","4","]","}",")",">",">",">","df","B","0","0.0","1","1.0","2","2.0","3","NaN","4","4.0","*","*","min_periods","*","*","Expanding","sum","with","1","vs","3","observations","needed","to","calculate","a","value",".",">",">",">","df.expanding","(","1",")",".sum","(",")","B","0","0.0","1","1.0","2","3.0","3","3.0","4","7.0",">",">",">","df.expanding","(","3",")",".sum","(",")","B","0","NaN","1","NaN","2","3.0","3","3.0","4","7.0"]
code: def kurt(self, numeric_only: bool = False):
      return super().kurt(numeric_only=numeric_only)
  
imports: from __future__ import annotations
  from textwrap import dedent
  from typing import TYPE_CHECKING, Any, Callable, Literal
  from pandas.util._decorators import deprecate_kwarg, doc
  from pandas.core.indexers.objects import BaseIndexer, ExpandingIndexer, GroupbyIndexer
  from pandas.core.window.doc import _shared_docs, create_section_header, kwargs_numeric_only, numba_notes, template_header, template_returns, template_see_also, window_agg_numba_parameters, window_apply_parameters
  from pandas.core.window.rolling import BaseWindowGroupby, RollingAndExpandingMixin
label_desc: Use image node_id 15 for calling the Expanding obj's underlying member method code with example usage: obj.kurt(numeric_only) and returns: super