calendar

calendar

Exchange sessions, closures, and market-time operations.

Functions

Name	Description
non_trading_days_after	Count closed calendar dates after each exchange session.
schedule	Return exchange sessions and their local opening and closing times.

non_trading_days_after

calendar.non_trading_days_after(dates, exchange)

Count closed calendar dates after each exchange session.

An early close is still a trading session. For example, a Friday early close followed by a Monday session has two non-trading days after it.

Parameters

Name	Type	Description	Default
dates	pd.Series	Session dates. Time components are ignored and the index is preserved.	required
exchange	str	ISO 10383 market identifier code, such as "XNYS" or "XSTO".	required

Returns

Name	Type	Description
	pd.Series	Integer Series named non_trading_days_after.

Raises

Name	Type	Description
	TypeError	If dates is not a Series.
	ValueError	If the exchange is unknown or a value is missing or is not an exchange session.

schedule

calendar.schedule(start, end, exchange)

Return exchange sessions and their local opening and closing times.

Parameters

Name	Type	Description	Default
start	str | pd.Timestamp	First calendar date to include.	required
end	str | pd.Timestamp	Last calendar date to include.	required
exchange	str	ISO 10383 market identifier code, such as "XNYS" or "XSTO".	required

Returns

Name	Type	Description
	pd.DataFrame	DataFrame indexed by session date with timezone-aware open and
	pd.DataFrame	close columns expressed in the exchange’s local timezone.

Raises

Name	Type	Description
	ValueError	If the exchange is unknown, a date is missing, or start is after end.