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# pandas.tseries.offsets.BusinessDay

class pandas.tseries.offsets.BusinessDay

  DateOffset subclass representing possibly n business days.

  BusinessDay, also known as BDay, is a date offset representing a single business day or a number of business days. Business days exclude weekends (Saturday and Sunday) by default.

  Attributes

  `n` | Return the count of the number of periods.
  `normalize` | Return boolean whether the frequency can align with midnight.
  `offset` | Return the time offset applied to the business day.

  See also

  `DateOffset`

    Standard kind of date increment.

  Examples

  You can use the parameter `n` to represent a shift of n business days.

      >>> ts = pd.Timestamp(2022, 12, 9, 15)
      >>> ts.strftime('%a %d %b %Y %H:%M')
      'Fri 09 Dec 2022 15:00'
      >>> (ts + pd.offsets.BusinessDay(n=5)).strftime('%a %d %b %Y %H:%M')
      'Fri 16 Dec 2022 15:00'

  Passing the parameter `normalize` equal to True, you shift the start of the next business day to midnight.

      >>> ts = pd.Timestamp(2022, 12, 9, 15)
      >>> ts + pd.offsets.BusinessDay(normalize=True)
      Timestamp('2022-12-12 00:00:00')

  Attributes

  `base` | Returns a copy of the calling offset object with n=1 and all other attributes equal.
  `calendar` | Return the calendar used for business day calculations.
  `freqstr` | Return a string representing the frequency.
  `holidays` | Return the holidays used for custom business day calculations.
  `kwds` | Return a dict of extra parameters for the offset.
  `n` | Return the count of the number of periods.
  `name` | (DEPRECATED) Return a string representing the base frequency.
  `nanos` | Return an integer of the total number of nanoseconds.
  `normalize` | Return boolean whether the frequency can align with midnight.
  `offset` | Return the time offset applied to the business day.
  `rule_code` | Return a string representing the base frequency.
  `weekmask` | Return the weekmask used for custom business day calculations.

  Methods

  `copy`() | Return a copy of the frequency.
  `is_month_end`(ts) | Return boolean whether a timestamp occurs on the month end.
  `is_month_start`(ts) | Return boolean whether a timestamp occurs on the month start.
  `is_on_offset`(dt) | Return boolean whether a timestamp intersects with this frequency.
  `is_quarter_end`(ts) | Return boolean whether a timestamp occurs on the quarter end.
  `is_quarter_start`(ts) | Return boolean whether a timestamp occurs on the quarter start.
  `is_year_end`(ts) | Return boolean whether a timestamp occurs on the year end.
  `is_year_start`(ts) | Return boolean whether a timestamp occurs on the year start.
  `rollback`(dt) | Roll provided date backward to next offset only if not on offset.
  `rollforward`(dt) | Roll provided date forward to next offset only if not on offset.