parameters: (start=None, end=None, periods=None, freq='C', tz=None,
                  normalize=True, name=None, closed=None, **kwargs)
return_statement: return date_range(start=start, end=end, periods=periods, freq=freq,
                        tz=tz, normalize=normalize, name=name,
                        closed=closed, **kwargs)
docstring: Return a fixed frequency DatetimeIndex, with CustomBusinessDay as the
      default frequency
  
      .. deprecated:: 0.21.0
  
      Parameters
      ----------
      start : string or datetime-like, default None
          Left bound for generating dates
      end : string or datetime-like, default None
          Right bound for generating dates
      periods : integer, default None
          Number of periods to generate
      freq : string or DateOffset, default 'C' (CustomBusinessDay)
          Frequency strings can have multiples, e.g. '5H'
      tz : string, default None
          Time zone name for returning localized DatetimeIndex, for example
          Asia/Beijing
      normalize : bool, default False
          Normalize start/end dates to midnight before generating date range
      name : string, default None
          Name of the resulting DatetimeIndex
      weekmask : string, Default 'Mon Tue Wed Thu Fri'
          weekmask of valid business days, passed to ``numpy.busdaycalendar``
      holidays : list
          list/array of dates to exclude from the set of valid business days,
          passed to ``numpy.busdaycalendar``
      closed : string, default None
          Make the interval closed with respect to the given frequency to
          the 'left', 'right', or both sides (None)
  
      Notes
      -----
      Of the three parameters: ``start``, ``end``, and ``periods``, exactly two
      must be specified.
  
      To learn more about the frequency strings, please see `this link
      <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
  
      Returns
      -------
      rng : DatetimeIndex
docstring_summary: Return a fixed frequency DatetimeIndex, with CustomBusinessDay as the
      default frequency
docstring_tokens: Return a fixed frequency DatetimeIndex with CustomBusinessDay as the default frequency
function: def cdate_range(start=None, end=None, periods=None, freq='C', tz=None,
                  normalize=True, name=None, closed=None, **kwargs):
      """
      Return a fixed frequency DatetimeIndex, with CustomBusinessDay as the
      default frequency
  
      .. deprecated:: 0.21.0
  
      Parameters
      ----------
      start : string or datetime-like, default None
          Left bound for generating dates
      end : string or datetime-like, default None
          Right bound for generating dates
      periods : integer, default None
          Number of periods to generate
      freq : string or DateOffset, default 'C' (CustomBusinessDay)
          Frequency strings can have multiples, e.g. '5H'
      tz : string, default None
          Time zone name for returning localized DatetimeIndex, for example
          Asia/Beijing
      normalize : bool, default False
          Normalize start/end dates to midnight before generating date range
      name : string, default None
          Name of the resulting DatetimeIndex
      weekmask : string, Default 'Mon Tue Wed Thu Fri'
          weekmask of valid business days, passed to ``numpy.busdaycalendar``
      holidays : list
          list/array of dates to exclude from the set of valid business days,
          passed to ``numpy.busdaycalendar``
      closed : string, default None
          Make the interval closed with respect to the given frequency to
          the 'left', 'right', or both sides (None)
  
      Notes
      -----
      Of the three parameters: ``start``, ``end``, and ``periods``, exactly two
      must be specified.
  
      To learn more about the frequency strings, please see `this link
      <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
  
      Returns
      -------
      rng : DatetimeIndex
      """
      warnings.warn("cdate_range is deprecated and will be removed in a future "
                    "version, instead use pd.bdate_range(..., freq='{freq}')"
                    .format(freq=freq), FutureWarning, stacklevel=2)
  
      if freq == 'C':
          holidays = kwargs.pop('holidays', [])
          weekmask = kwargs.pop('weekmask', 'Mon Tue Wed Thu Fri')
          freq = CDay(holidays=holidays, weekmask=weekmask)
  
      return date_range(start=start, end=end, periods=periods, freq=freq,
                        tz=tz, normalize=normalize, name=name,
                        closed=closed, **kwargs)
function_tokens: def cdate_range ( start = None , end = None , periods = None , freq = 'C' , tz = None , normalize = True , name = None , closed = None , * * kwargs ) : warnings . warn ( "cdate_range is deprecated and will be removed in a future " "version, instead use pd.bdate_range(..., freq='{freq}')" . format ( freq = freq ) , FutureWarning , stacklevel = 2 ) if freq == 'C' : holidays = kwargs . pop ( 'holidays' , [ ] ) weekmask = kwargs . pop ( 'weekmask' , 'Mon Tue Wed Thu Fri' ) freq = CDay ( holidays = holidays , weekmask = weekmask ) return date_range ( start = start , end = end , periods = periods , freq = freq , tz = tz , normalize = normalize , name = name , closed = closed , * * kwargs )