doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
pandas.tseries.offsets.BusinessHour.is_month_end BusinessHour.is_month_end() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_month_end |
pandas.tseries.offsets.BusinessHour.is_month_start BusinessHour.is_month_start() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_month_start |
pandas.tseries.offsets.BusinessHour.is_on_offset BusinessHour.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_on_offset |
pandas.tseries.offsets.BusinessHour.is_quarter_end BusinessHour.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_quarter_end |
pandas.tseries.offsets.BusinessHour.is_quarter_start BusinessHour.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_quarter_start |
pandas.tseries.offsets.BusinessHour.is_year_end BusinessHour.is_year_end() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_year_end |
pandas.tseries.offsets.BusinessHour.is_year_start BusinessHour.is_year_start() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_year_start |
pandas.tseries.offsets.BusinessHour.isAnchored BusinessHour.isAnchored() | pandas.reference.api.pandas.tseries.offsets.businesshour.isanchored |
pandas.tseries.offsets.BusinessHour.kwds BusinessHour.kwds | pandas.reference.api.pandas.tseries.offsets.businesshour.kwds |
pandas.tseries.offsets.BusinessHour.n BusinessHour.n | pandas.reference.api.pandas.tseries.offsets.businesshour.n |
pandas.tseries.offsets.BusinessHour.name BusinessHour.name | pandas.reference.api.pandas.tseries.offsets.businesshour.name |
pandas.tseries.offsets.BusinessHour.nanos BusinessHour.nanos | pandas.reference.api.pandas.tseries.offsets.businesshour.nanos |
pandas.tseries.offsets.BusinessHour.next_bday BusinessHour.next_bday
Used for moving to next business day. | pandas.reference.api.pandas.tseries.offsets.businesshour.next_bday |
pandas.tseries.offsets.BusinessHour.normalize BusinessHour.normalize | pandas.reference.api.pandas.tseries.offsets.businesshour.normalize |
pandas.tseries.offsets.BusinessHour.offset BusinessHour.offset
Alias for self._offset. | pandas.reference.api.pandas.tseries.offsets.businesshour.offset |
pandas.tseries.offsets.BusinessHour.onOffset BusinessHour.onOffset() | pandas.reference.api.pandas.tseries.offsets.businesshour.onoffset |
pandas.tseries.offsets.BusinessHour.rollback BusinessHour.rollback(other)
Roll provided date backward to next offset only if not on offset. | pandas.reference.api.pandas.tseries.offsets.businesshour.rollback |
pandas.tseries.offsets.BusinessHour.rollforward BusinessHour.rollforward(other)
Roll provided date forward to next offset only if not on offset. | pandas.reference.api.pandas.tseries.offsets.businesshour.rollforward |
pandas.tseries.offsets.BusinessHour.rule_code BusinessHour.rule_code | pandas.reference.api.pandas.tseries.offsets.businesshour.rule_code |
pandas.tseries.offsets.BusinessHour.start BusinessHour.start | pandas.reference.api.pandas.tseries.offsets.businesshour.start |
pandas.tseries.offsets.BusinessHour.weekmask BusinessHour.weekmask | pandas.reference.api.pandas.tseries.offsets.businesshour.weekmask |
pandas.tseries.offsets.BusinessMonthBegin classpandas.tseries.offsets.BusinessMonthBegin
DateOffset of one month at the first business day. Examples
>>> from pandas.tseries.offsets import BMonthBegin
>>> ts=pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BMonthBegin()
Timestamp('2020-06-01 05:01:15')
>>> ts + BMonthBegin(2)
Timestamp('2020-07-01 05:01:15')
>>> ts + BMonthBegin(-3)
Timestamp('2020-03-02 05:01:15')
Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
freqstr
kwds
n
name
nanos
normalize
rule_code Methods
__call__(*args, **kwargs) Call self as a function.
rollback Roll provided date backward to next offset only if not on offset.
rollforward Roll provided date forward to next offset only if not on offset.
apply
apply_index
copy
isAnchored
is_anchored
is_month_end
is_month_start
is_on_offset
is_quarter_end
is_quarter_start
is_year_end
is_year_start
onOffset | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin |
pandas.tseries.offsets.BusinessMonthBegin.__call__ BusinessMonthBegin.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.__call__ |
pandas.tseries.offsets.BusinessMonthBegin.apply BusinessMonthBegin.apply() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.apply |
pandas.tseries.offsets.BusinessMonthBegin.apply_index BusinessMonthBegin.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.apply_index |
pandas.tseries.offsets.BusinessMonthBegin.base BusinessMonthBegin.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.base |
pandas.tseries.offsets.BusinessMonthBegin.copy BusinessMonthBegin.copy() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.copy |
pandas.tseries.offsets.BusinessMonthBegin.freqstr BusinessMonthBegin.freqstr | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.freqstr |
pandas.tseries.offsets.BusinessMonthBegin.is_anchored BusinessMonthBegin.is_anchored() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_anchored |
pandas.tseries.offsets.BusinessMonthBegin.is_month_end BusinessMonthBegin.is_month_end() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_month_end |
pandas.tseries.offsets.BusinessMonthBegin.is_month_start BusinessMonthBegin.is_month_start() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_month_start |
pandas.tseries.offsets.BusinessMonthBegin.is_on_offset BusinessMonthBegin.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_on_offset |
pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end BusinessMonthBegin.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_quarter_end |
pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start BusinessMonthBegin.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_quarter_start |
pandas.tseries.offsets.BusinessMonthBegin.is_year_end BusinessMonthBegin.is_year_end() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_year_end |
pandas.tseries.offsets.BusinessMonthBegin.is_year_start BusinessMonthBegin.is_year_start() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.is_year_start |
pandas.tseries.offsets.BusinessMonthBegin.isAnchored BusinessMonthBegin.isAnchored() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.isanchored |
pandas.tseries.offsets.BusinessMonthBegin.kwds BusinessMonthBegin.kwds | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.kwds |
pandas.tseries.offsets.BusinessMonthBegin.n BusinessMonthBegin.n | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.n |
pandas.tseries.offsets.BusinessMonthBegin.name BusinessMonthBegin.name | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.name |
pandas.tseries.offsets.BusinessMonthBegin.nanos BusinessMonthBegin.nanos | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.nanos |
pandas.tseries.offsets.BusinessMonthBegin.normalize BusinessMonthBegin.normalize | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.normalize |
pandas.tseries.offsets.BusinessMonthBegin.onOffset BusinessMonthBegin.onOffset() | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.onoffset |
pandas.tseries.offsets.BusinessMonthBegin.rollback BusinessMonthBegin.rollback()
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.rollback |
pandas.tseries.offsets.BusinessMonthBegin.rollforward BusinessMonthBegin.rollforward()
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.rollforward |
pandas.tseries.offsets.BusinessMonthBegin.rule_code BusinessMonthBegin.rule_code | pandas.reference.api.pandas.tseries.offsets.businessmonthbegin.rule_code |
pandas.tseries.offsets.BusinessMonthEnd classpandas.tseries.offsets.BusinessMonthEnd
DateOffset increments between the last business day of the month. Examples
>>> from pandas.tseries.offsets import BMonthEnd
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BMonthEnd()
Timestamp('2020-05-29 05:01:15')
>>> ts + BMonthEnd(2)
Timestamp('2020-06-30 05:01:15')
>>> ts + BMonthEnd(-2)
Timestamp('2020-03-31 05:01:15')
Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
freqstr
kwds
n
name
nanos
normalize
rule_code Methods
__call__(*args, **kwargs) Call self as a function.
rollback Roll provided date backward to next offset only if not on offset.
rollforward Roll provided date forward to next offset only if not on offset.
apply
apply_index
copy
isAnchored
is_anchored
is_month_end
is_month_start
is_on_offset
is_quarter_end
is_quarter_start
is_year_end
is_year_start
onOffset | pandas.reference.api.pandas.tseries.offsets.businessmonthend |
pandas.tseries.offsets.BusinessMonthEnd.__call__ BusinessMonthEnd.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.businessmonthend.__call__ |
pandas.tseries.offsets.BusinessMonthEnd.apply BusinessMonthEnd.apply() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.apply |
pandas.tseries.offsets.BusinessMonthEnd.apply_index BusinessMonthEnd.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.businessmonthend.apply_index |
pandas.tseries.offsets.BusinessMonthEnd.base BusinessMonthEnd.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.businessmonthend.base |
pandas.tseries.offsets.BusinessMonthEnd.copy BusinessMonthEnd.copy() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.copy |
pandas.tseries.offsets.BusinessMonthEnd.freqstr BusinessMonthEnd.freqstr | pandas.reference.api.pandas.tseries.offsets.businessmonthend.freqstr |
pandas.tseries.offsets.BusinessMonthEnd.is_anchored BusinessMonthEnd.is_anchored() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_anchored |
pandas.tseries.offsets.BusinessMonthEnd.is_month_end BusinessMonthEnd.is_month_end() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_month_end |
pandas.tseries.offsets.BusinessMonthEnd.is_month_start BusinessMonthEnd.is_month_start() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_month_start |
pandas.tseries.offsets.BusinessMonthEnd.is_on_offset BusinessMonthEnd.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_on_offset |
pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end BusinessMonthEnd.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_quarter_end |
pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start BusinessMonthEnd.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_quarter_start |
pandas.tseries.offsets.BusinessMonthEnd.is_year_end BusinessMonthEnd.is_year_end() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_year_end |
pandas.tseries.offsets.BusinessMonthEnd.is_year_start BusinessMonthEnd.is_year_start() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.is_year_start |
pandas.tseries.offsets.BusinessMonthEnd.isAnchored BusinessMonthEnd.isAnchored() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.isanchored |
pandas.tseries.offsets.BusinessMonthEnd.kwds BusinessMonthEnd.kwds | pandas.reference.api.pandas.tseries.offsets.businessmonthend.kwds |
pandas.tseries.offsets.BusinessMonthEnd.n BusinessMonthEnd.n | pandas.reference.api.pandas.tseries.offsets.businessmonthend.n |
pandas.tseries.offsets.BusinessMonthEnd.name BusinessMonthEnd.name | pandas.reference.api.pandas.tseries.offsets.businessmonthend.name |
pandas.tseries.offsets.BusinessMonthEnd.nanos BusinessMonthEnd.nanos | pandas.reference.api.pandas.tseries.offsets.businessmonthend.nanos |
pandas.tseries.offsets.BusinessMonthEnd.normalize BusinessMonthEnd.normalize | pandas.reference.api.pandas.tseries.offsets.businessmonthend.normalize |
pandas.tseries.offsets.BusinessMonthEnd.onOffset BusinessMonthEnd.onOffset() | pandas.reference.api.pandas.tseries.offsets.businessmonthend.onoffset |
pandas.tseries.offsets.BusinessMonthEnd.rollback BusinessMonthEnd.rollback()
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | pandas.reference.api.pandas.tseries.offsets.businessmonthend.rollback |
pandas.tseries.offsets.BusinessMonthEnd.rollforward BusinessMonthEnd.rollforward()
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | pandas.reference.api.pandas.tseries.offsets.businessmonthend.rollforward |
pandas.tseries.offsets.BusinessMonthEnd.rule_code BusinessMonthEnd.rule_code | pandas.reference.api.pandas.tseries.offsets.businessmonthend.rule_code |
pandas.tseries.offsets.BYearBegin classpandas.tseries.offsets.BYearBegin
DateOffset increments between the first business day of the year. Examples
>>> from pandas.tseries.offsets import BYearBegin
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts + BYearBegin()
Timestamp('2021-01-01 05:01:15')
>>> ts - BYearBegin()
Timestamp('2020-01-01 05:01:15')
>>> ts + BYearBegin(-1)
Timestamp('2020-01-01 05:01:15')
>>> ts + BYearBegin(2)
Timestamp('2022-01-03 05:01:15')
Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
freqstr
kwds
month
n
name
nanos
normalize
rule_code Methods
__call__(*args, **kwargs) Call self as a function.
rollback Roll provided date backward to next offset only if not on offset.
rollforward Roll provided date forward to next offset only if not on offset.
apply
apply_index
copy
isAnchored
is_anchored
is_month_end
is_month_start
is_on_offset
is_quarter_end
is_quarter_start
is_year_end
is_year_start
onOffset | pandas.reference.api.pandas.tseries.offsets.byearbegin |
pandas.tseries.offsets.BYearBegin.__call__ BYearBegin.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.byearbegin.__call__ |
pandas.tseries.offsets.BYearBegin.apply BYearBegin.apply() | pandas.reference.api.pandas.tseries.offsets.byearbegin.apply |
pandas.tseries.offsets.BYearBegin.apply_index BYearBegin.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.byearbegin.apply_index |
pandas.tseries.offsets.BYearBegin.base BYearBegin.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.byearbegin.base |
pandas.tseries.offsets.BYearBegin.copy BYearBegin.copy() | pandas.reference.api.pandas.tseries.offsets.byearbegin.copy |
pandas.tseries.offsets.BYearBegin.freqstr BYearBegin.freqstr | pandas.reference.api.pandas.tseries.offsets.byearbegin.freqstr |
pandas.tseries.offsets.BYearBegin.is_anchored BYearBegin.is_anchored() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_anchored |
pandas.tseries.offsets.BYearBegin.is_month_end BYearBegin.is_month_end() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_month_end |
pandas.tseries.offsets.BYearBegin.is_month_start BYearBegin.is_month_start() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_month_start |
pandas.tseries.offsets.BYearBegin.is_on_offset BYearBegin.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_on_offset |
pandas.tseries.offsets.BYearBegin.is_quarter_end BYearBegin.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_quarter_end |
pandas.tseries.offsets.BYearBegin.is_quarter_start BYearBegin.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_quarter_start |
pandas.tseries.offsets.BYearBegin.is_year_end BYearBegin.is_year_end() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_year_end |
pandas.tseries.offsets.BYearBegin.is_year_start BYearBegin.is_year_start() | pandas.reference.api.pandas.tseries.offsets.byearbegin.is_year_start |
pandas.tseries.offsets.BYearBegin.isAnchored BYearBegin.isAnchored() | pandas.reference.api.pandas.tseries.offsets.byearbegin.isanchored |
pandas.tseries.offsets.BYearBegin.kwds BYearBegin.kwds | pandas.reference.api.pandas.tseries.offsets.byearbegin.kwds |
pandas.tseries.offsets.BYearBegin.month BYearBegin.month | pandas.reference.api.pandas.tseries.offsets.byearbegin.month |
pandas.tseries.offsets.BYearBegin.n BYearBegin.n | pandas.reference.api.pandas.tseries.offsets.byearbegin.n |
pandas.tseries.offsets.BYearBegin.name BYearBegin.name | pandas.reference.api.pandas.tseries.offsets.byearbegin.name |
pandas.tseries.offsets.BYearBegin.nanos BYearBegin.nanos | pandas.reference.api.pandas.tseries.offsets.byearbegin.nanos |
pandas.tseries.offsets.BYearBegin.normalize BYearBegin.normalize | pandas.reference.api.pandas.tseries.offsets.byearbegin.normalize |
pandas.tseries.offsets.BYearBegin.onOffset BYearBegin.onOffset() | pandas.reference.api.pandas.tseries.offsets.byearbegin.onoffset |
pandas.tseries.offsets.BYearBegin.rollback BYearBegin.rollback()
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | pandas.reference.api.pandas.tseries.offsets.byearbegin.rollback |
pandas.tseries.offsets.BYearBegin.rollforward BYearBegin.rollforward()
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | pandas.reference.api.pandas.tseries.offsets.byearbegin.rollforward |
pandas.tseries.offsets.BYearBegin.rule_code BYearBegin.rule_code | pandas.reference.api.pandas.tseries.offsets.byearbegin.rule_code |
pandas.tseries.offsets.BYearEnd classpandas.tseries.offsets.BYearEnd
DateOffset increments between the last business day of the year. Examples
>>> from pandas.tseries.offsets import BYearEnd
>>> ts = pd.Timestamp('2020-05-24 05:01:15')
>>> ts - BYearEnd()
Timestamp('2019-12-31 05:01:15')
>>> ts + BYearEnd()
Timestamp('2020-12-31 05:01:15')
>>> ts + BYearEnd(3)
Timestamp('2022-12-30 05:01:15')
>>> ts + BYearEnd(-3)
Timestamp('2017-12-29 05:01:15')
>>> ts + BYearEnd(month=11)
Timestamp('2020-11-30 05:01:15')
Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
freqstr
kwds
month
n
name
nanos
normalize
rule_code Methods
__call__(*args, **kwargs) Call self as a function.
rollback Roll provided date backward to next offset only if not on offset.
rollforward Roll provided date forward to next offset only if not on offset.
apply
apply_index
copy
isAnchored
is_anchored
is_month_end
is_month_start
is_on_offset
is_quarter_end
is_quarter_start
is_year_end
is_year_start
onOffset | pandas.reference.api.pandas.tseries.offsets.byearend |
pandas.tseries.offsets.BYearEnd.__call__ BYearEnd.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.byearend.__call__ |
pandas.tseries.offsets.BYearEnd.apply BYearEnd.apply() | pandas.reference.api.pandas.tseries.offsets.byearend.apply |
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