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# pandas.bdate_range

`pandas.``bdate_range`(start=None, end=None, periods=None, freq='B', tz=None, normalize=True, name=None, closed=None)

  Return a fixed frequency datetime index, with business day as the default frequency

  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 or None, default None If None, must specify start and end freq : string or DateOffset, default ‘B’ (business daily) Frequency strings can have multiples, e.g. ‘5H’ tz : string or 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 : str, default None Name for the resulting index closed : string or None, default None Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None)
  Returns : | rng : DatetimeIndex

  Notes

  2 of start, end, or periods must be specified

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