*Last updated: 2023-03-16.*

# Module: tf_quant_finance.datetime

View source Date-related utilities. ## Modules [`periods`](../tf_quant_finance/datetime/periods.md) module: Date periods. [`utils`](../tf_quant_finance/datetime/utils.md) module: Utilities for working with dates. ## Classes [`class BusinessDayConvention`](../tf_quant_finance/datetime/BusinessDayConvention.md): Conventions that determine how to roll dates that fall on holidays. [`class BusinessDaySchedule`](../tf_quant_finance/datetime/BusinessDaySchedule.md): Generates schedules containing every business day in a period. [`class DateTensor`](../tf_quant_finance/datetime/DateTensor.md): Represents a tensor of dates. [`class HolidayCalendar`](../tf_quant_finance/datetime/HolidayCalendar.md): Represents a holiday calendar. [`class Month`](../tf_quant_finance/datetime/Month.md): Months. Values are one-based. [`class PeriodTensor`](../tf_quant_finance/datetime/PeriodTensor.md): Represents a tensor of time periods. [`class PeriodType`](../tf_quant_finance/datetime/PeriodType.md): Periods that can be added or subtracted from DateTensors. [`class PeriodicSchedule`](../tf_quant_finance/datetime/PeriodicSchedule.md): Defines an array of dates specified by a regular schedule. [`class WeekDay`](../tf_quant_finance/datetime/WeekDay.md): Named days of the week. Values are zero-based with Monday = 0. [`class WeekendMask`](../tf_quant_finance/datetime/WeekendMask.md): Provides weekend masks for some of the common weekend patterns. ## Functions [`convert_to_date_tensor(...)`](../tf_quant_finance/datetime/convert_to_date_tensor.md): Converts supplied data to a `DateTensor` if possible. [`create_holiday_calendar(...)`](../tf_quant_finance/datetime/create_holiday_calendar.md): Creates a holiday calendar. [`dates_from_datetimes(...)`](../tf_quant_finance/datetime/dates_from_datetimes.md): Creates DateTensor from a sequence of Python datetime objects. [`dates_from_np_datetimes(...)`](../tf_quant_finance/datetime/dates_from_np_datetimes.md): Creates DateTensor from a Numpy array of dtype datetime64. [`dates_from_ordinals(...)`](../tf_quant_finance/datetime/dates_from_ordinals.md): Creates DateTensor from tensors of ordinals. [`dates_from_tensor(...)`](../tf_quant_finance/datetime/dates_from_tensor.md): Creates DateTensor from a single tensor containing years, months and days. [`dates_from_tuples(...)`](../tf_quant_finance/datetime/dates_from_tuples.md): Creates DateTensor from a sequence of year-month-day Tuples. [`dates_from_year_month_day(...)`](../tf_quant_finance/datetime/dates_from_year_month_day.md): Creates DateTensor from tensors of years, months and days. [`daycount_actual_360(...)`](../tf_quant_finance/datetime/daycount_actual_360.md): Computes the year fraction between the specified dates. [`daycount_actual_365_actual(...)`](../tf_quant_finance/datetime/daycount_actual_365_actual.md): Computes the year fraction between the specified dates. [`daycount_actual_365_fixed(...)`](../tf_quant_finance/datetime/daycount_actual_365_fixed.md): Computes the year fraction between the specified dates. [`daycount_actual_actual_isda(...)`](../tf_quant_finance/datetime/daycount_actual_actual_isda.md): Computes the year fraction between the specified dates. [`daycount_thirty_360_isda(...)`](../tf_quant_finance/datetime/daycount_thirty_360_isda.md): Computes the year fraction between the specified dates. [`random_dates(...)`](../tf_quant_finance/datetime/random_dates.md): Generates random dates between the supplied start and end dates.