doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
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pandas.Timestamp.year Timestamp.year | pandas.reference.api.pandas.timestamp.year |
pandas.to_datetime pandas.to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False, utc=None, format=None, exact=True, unit=None, infer_datetime_format=False, origin='unix', cache=True)[source]
Convert argument to datetime. This function converts a scalar, array-like, Series or DataFrame/dict-like to a pand... | pandas.reference.api.pandas.to_datetime |
pandas.to_numeric pandas.to_numeric(arg, errors='raise', downcast=None)[source]
Convert argument to a numeric type. The default return dtype is float64 or int64 depending on the data supplied. Use the downcast parameter to obtain other dtypes. Please note that precision loss may occur if really large numbers are pa... | pandas.reference.api.pandas.to_numeric |
pandas.to_timedelta pandas.to_timedelta(arg, unit=None, errors='raise')[source]
Convert argument to timedelta. Timedeltas are absolute differences in times, expressed in difference units (e.g. days, hours, minutes, seconds). This method converts an argument from a recognized timedelta format / value into a Timedelt... | pandas.reference.api.pandas.to_timedelta |
pandas.tseries.frequencies.to_offset pandas.tseries.frequencies.to_offset()
Return DateOffset object from string or tuple representation or datetime.timedelta object. Parameters
freq:str, datetime.timedelta, BaseOffset or None
Returns
DateOffset or None
Raises
ValueError
If freq is an invalid frequenc... | pandas.reference.api.pandas.tseries.frequencies.to_offset |
pandas.tseries.offsets.BDay pandas.tseries.offsets.BDay
alias of pandas._libs.tslibs.offsets.BusinessDay | pandas.reference.api.pandas.tseries.offsets.bday |
pandas.tseries.offsets.BMonthBegin pandas.tseries.offsets.BMonthBegin
alias of pandas._libs.tslibs.offsets.BusinessMonthBegin | pandas.reference.api.pandas.tseries.offsets.bmonthbegin |
pandas.tseries.offsets.BMonthEnd pandas.tseries.offsets.BMonthEnd
alias of pandas._libs.tslibs.offsets.BusinessMonthEnd | pandas.reference.api.pandas.tseries.offsets.bmonthend |
pandas.tseries.offsets.BQuarterBegin classpandas.tseries.offsets.BQuarterBegin
DateOffset increments between the first business day of each Quarter. startingMonth = 1 corresponds to dates like 1/01/2007, 4/01/2007, … startingMonth = 2 corresponds to dates like 2/01/2007, 5/01/2007, … startingMonth = 3 corresponds t... | pandas.reference.api.pandas.tseries.offsets.bquarterbegin |
pandas.tseries.offsets.BQuarterBegin.__call__ BQuarterBegin.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.__call__ |
pandas.tseries.offsets.BQuarterBegin.apply BQuarterBegin.apply() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.apply |
pandas.tseries.offsets.BQuarterBegin.apply_index BQuarterBegin.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.apply_index |
pandas.tseries.offsets.BQuarterBegin.base BQuarterBegin.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.base |
pandas.tseries.offsets.BQuarterBegin.copy BQuarterBegin.copy() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.copy |
pandas.tseries.offsets.BQuarterBegin.freqstr BQuarterBegin.freqstr | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.freqstr |
pandas.tseries.offsets.BQuarterBegin.is_anchored BQuarterBegin.is_anchored() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_anchored |
pandas.tseries.offsets.BQuarterBegin.is_month_end BQuarterBegin.is_month_end() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_month_end |
pandas.tseries.offsets.BQuarterBegin.is_month_start BQuarterBegin.is_month_start() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_month_start |
pandas.tseries.offsets.BQuarterBegin.is_on_offset BQuarterBegin.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_on_offset |
pandas.tseries.offsets.BQuarterBegin.is_quarter_end BQuarterBegin.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_quarter_end |
pandas.tseries.offsets.BQuarterBegin.is_quarter_start BQuarterBegin.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_quarter_start |
pandas.tseries.offsets.BQuarterBegin.is_year_end BQuarterBegin.is_year_end() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_year_end |
pandas.tseries.offsets.BQuarterBegin.is_year_start BQuarterBegin.is_year_start() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.is_year_start |
pandas.tseries.offsets.BQuarterBegin.isAnchored BQuarterBegin.isAnchored() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.isanchored |
pandas.tseries.offsets.BQuarterBegin.kwds BQuarterBegin.kwds | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.kwds |
pandas.tseries.offsets.BQuarterBegin.n BQuarterBegin.n | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.n |
pandas.tseries.offsets.BQuarterBegin.name BQuarterBegin.name | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.name |
pandas.tseries.offsets.BQuarterBegin.nanos BQuarterBegin.nanos | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.nanos |
pandas.tseries.offsets.BQuarterBegin.normalize BQuarterBegin.normalize | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.normalize |
pandas.tseries.offsets.BQuarterBegin.onOffset BQuarterBegin.onOffset() | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.onoffset |
pandas.tseries.offsets.BQuarterBegin.rollback BQuarterBegin.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.bquarterbegin.rollback |
pandas.tseries.offsets.BQuarterBegin.rollforward BQuarterBegin.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.bquarterbegin.rollforward |
pandas.tseries.offsets.BQuarterBegin.rule_code BQuarterBegin.rule_code | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.rule_code |
pandas.tseries.offsets.BQuarterBegin.startingMonth BQuarterBegin.startingMonth | pandas.reference.api.pandas.tseries.offsets.bquarterbegin.startingmonth |
pandas.tseries.offsets.BQuarterEnd classpandas.tseries.offsets.BQuarterEnd
DateOffset increments between the last business day of each Quarter. startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, … startingMonth = 2 corresponds to dates like 2/28/2007, 5/31/2007, … startingMonth = 3 corresponds to dat... | pandas.reference.api.pandas.tseries.offsets.bquarterend |
pandas.tseries.offsets.BQuarterEnd.__call__ BQuarterEnd.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.bquarterend.__call__ |
pandas.tseries.offsets.BQuarterEnd.apply BQuarterEnd.apply() | pandas.reference.api.pandas.tseries.offsets.bquarterend.apply |
pandas.tseries.offsets.BQuarterEnd.apply_index BQuarterEnd.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.bquarterend.apply_index |
pandas.tseries.offsets.BQuarterEnd.base BQuarterEnd.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.bquarterend.base |
pandas.tseries.offsets.BQuarterEnd.copy BQuarterEnd.copy() | pandas.reference.api.pandas.tseries.offsets.bquarterend.copy |
pandas.tseries.offsets.BQuarterEnd.freqstr BQuarterEnd.freqstr | pandas.reference.api.pandas.tseries.offsets.bquarterend.freqstr |
pandas.tseries.offsets.BQuarterEnd.is_anchored BQuarterEnd.is_anchored() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_anchored |
pandas.tseries.offsets.BQuarterEnd.is_month_end BQuarterEnd.is_month_end() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_month_end |
pandas.tseries.offsets.BQuarterEnd.is_month_start BQuarterEnd.is_month_start() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_month_start |
pandas.tseries.offsets.BQuarterEnd.is_on_offset BQuarterEnd.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_on_offset |
pandas.tseries.offsets.BQuarterEnd.is_quarter_end BQuarterEnd.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_quarter_end |
pandas.tseries.offsets.BQuarterEnd.is_quarter_start BQuarterEnd.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_quarter_start |
pandas.tseries.offsets.BQuarterEnd.is_year_end BQuarterEnd.is_year_end() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_year_end |
pandas.tseries.offsets.BQuarterEnd.is_year_start BQuarterEnd.is_year_start() | pandas.reference.api.pandas.tseries.offsets.bquarterend.is_year_start |
pandas.tseries.offsets.BQuarterEnd.isAnchored BQuarterEnd.isAnchored() | pandas.reference.api.pandas.tseries.offsets.bquarterend.isanchored |
pandas.tseries.offsets.BQuarterEnd.kwds BQuarterEnd.kwds | pandas.reference.api.pandas.tseries.offsets.bquarterend.kwds |
pandas.tseries.offsets.BQuarterEnd.n BQuarterEnd.n | pandas.reference.api.pandas.tseries.offsets.bquarterend.n |
pandas.tseries.offsets.BQuarterEnd.name BQuarterEnd.name | pandas.reference.api.pandas.tseries.offsets.bquarterend.name |
pandas.tseries.offsets.BQuarterEnd.nanos BQuarterEnd.nanos | pandas.reference.api.pandas.tseries.offsets.bquarterend.nanos |
pandas.tseries.offsets.BQuarterEnd.normalize BQuarterEnd.normalize | pandas.reference.api.pandas.tseries.offsets.bquarterend.normalize |
pandas.tseries.offsets.BQuarterEnd.onOffset BQuarterEnd.onOffset() | pandas.reference.api.pandas.tseries.offsets.bquarterend.onoffset |
pandas.tseries.offsets.BQuarterEnd.rollback BQuarterEnd.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.bquarterend.rollback |
pandas.tseries.offsets.BQuarterEnd.rollforward BQuarterEnd.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.bquarterend.rollforward |
pandas.tseries.offsets.BQuarterEnd.rule_code BQuarterEnd.rule_code | pandas.reference.api.pandas.tseries.offsets.bquarterend.rule_code |
pandas.tseries.offsets.BQuarterEnd.startingMonth BQuarterEnd.startingMonth | pandas.reference.api.pandas.tseries.offsets.bquarterend.startingmonth |
pandas.tseries.offsets.BusinessDay classpandas.tseries.offsets.BusinessDay
DateOffset subclass representing possibly n business days. Attributes
base Returns a copy of the calling offset object with n=1 and all other attributes equal.
offset Alias for self._offset.
calendar
freqstr
holidays... | pandas.reference.api.pandas.tseries.offsets.businessday |
pandas.tseries.offsets.BusinessDay.__call__ BusinessDay.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.businessday.__call__ |
pandas.tseries.offsets.BusinessDay.apply BusinessDay.apply() | pandas.reference.api.pandas.tseries.offsets.businessday.apply |
pandas.tseries.offsets.BusinessDay.apply_index BusinessDay.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.businessday.apply_index |
pandas.tseries.offsets.BusinessDay.base BusinessDay.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.businessday.base |
pandas.tseries.offsets.BusinessDay.calendar BusinessDay.calendar | pandas.reference.api.pandas.tseries.offsets.businessday.calendar |
pandas.tseries.offsets.BusinessDay.copy BusinessDay.copy() | pandas.reference.api.pandas.tseries.offsets.businessday.copy |
pandas.tseries.offsets.BusinessDay.freqstr BusinessDay.freqstr | pandas.reference.api.pandas.tseries.offsets.businessday.freqstr |
pandas.tseries.offsets.BusinessDay.holidays BusinessDay.holidays | pandas.reference.api.pandas.tseries.offsets.businessday.holidays |
pandas.tseries.offsets.BusinessDay.is_anchored BusinessDay.is_anchored() | pandas.reference.api.pandas.tseries.offsets.businessday.is_anchored |
pandas.tseries.offsets.BusinessDay.is_month_end BusinessDay.is_month_end() | pandas.reference.api.pandas.tseries.offsets.businessday.is_month_end |
pandas.tseries.offsets.BusinessDay.is_month_start BusinessDay.is_month_start() | pandas.reference.api.pandas.tseries.offsets.businessday.is_month_start |
pandas.tseries.offsets.BusinessDay.is_on_offset BusinessDay.is_on_offset() | pandas.reference.api.pandas.tseries.offsets.businessday.is_on_offset |
pandas.tseries.offsets.BusinessDay.is_quarter_end BusinessDay.is_quarter_end() | pandas.reference.api.pandas.tseries.offsets.businessday.is_quarter_end |
pandas.tseries.offsets.BusinessDay.is_quarter_start BusinessDay.is_quarter_start() | pandas.reference.api.pandas.tseries.offsets.businessday.is_quarter_start |
pandas.tseries.offsets.BusinessDay.is_year_end BusinessDay.is_year_end() | pandas.reference.api.pandas.tseries.offsets.businessday.is_year_end |
pandas.tseries.offsets.BusinessDay.is_year_start BusinessDay.is_year_start() | pandas.reference.api.pandas.tseries.offsets.businessday.is_year_start |
pandas.tseries.offsets.BusinessDay.isAnchored BusinessDay.isAnchored() | pandas.reference.api.pandas.tseries.offsets.businessday.isanchored |
pandas.tseries.offsets.BusinessDay.kwds BusinessDay.kwds | pandas.reference.api.pandas.tseries.offsets.businessday.kwds |
pandas.tseries.offsets.BusinessDay.n BusinessDay.n | pandas.reference.api.pandas.tseries.offsets.businessday.n |
pandas.tseries.offsets.BusinessDay.name BusinessDay.name | pandas.reference.api.pandas.tseries.offsets.businessday.name |
pandas.tseries.offsets.BusinessDay.nanos BusinessDay.nanos | pandas.reference.api.pandas.tseries.offsets.businessday.nanos |
pandas.tseries.offsets.BusinessDay.normalize BusinessDay.normalize | pandas.reference.api.pandas.tseries.offsets.businessday.normalize |
pandas.tseries.offsets.BusinessDay.offset BusinessDay.offset
Alias for self._offset. | pandas.reference.api.pandas.tseries.offsets.businessday.offset |
pandas.tseries.offsets.BusinessDay.onOffset BusinessDay.onOffset() | pandas.reference.api.pandas.tseries.offsets.businessday.onoffset |
pandas.tseries.offsets.BusinessDay.rollback BusinessDay.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.businessday.rollback |
pandas.tseries.offsets.BusinessDay.rollforward BusinessDay.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.businessday.rollforward |
pandas.tseries.offsets.BusinessDay.rule_code BusinessDay.rule_code | pandas.reference.api.pandas.tseries.offsets.businessday.rule_code |
pandas.tseries.offsets.BusinessDay.weekmask BusinessDay.weekmask | pandas.reference.api.pandas.tseries.offsets.businessday.weekmask |
pandas.tseries.offsets.BusinessHour classpandas.tseries.offsets.BusinessHour
DateOffset subclass representing possibly n business hours. Parameters
n:int, default 1
The number of months represented.
normalize:bool, default False
Normalize start/end dates to midnight before generating date range.
weekmas... | pandas.reference.api.pandas.tseries.offsets.businesshour |
pandas.tseries.offsets.BusinessHour.__call__ BusinessHour.__call__(*args, **kwargs)
Call self as a function. | pandas.reference.api.pandas.tseries.offsets.businesshour.__call__ |
pandas.tseries.offsets.BusinessHour.apply BusinessHour.apply() | pandas.reference.api.pandas.tseries.offsets.businesshour.apply |
pandas.tseries.offsets.BusinessHour.apply_index BusinessHour.apply_index(other) | pandas.reference.api.pandas.tseries.offsets.businesshour.apply_index |
pandas.tseries.offsets.BusinessHour.base BusinessHour.base
Returns a copy of the calling offset object with n=1 and all other attributes equal. | pandas.reference.api.pandas.tseries.offsets.businesshour.base |
pandas.tseries.offsets.BusinessHour.calendar BusinessHour.calendar | pandas.reference.api.pandas.tseries.offsets.businesshour.calendar |
pandas.tseries.offsets.BusinessHour.copy BusinessHour.copy() | pandas.reference.api.pandas.tseries.offsets.businesshour.copy |
pandas.tseries.offsets.BusinessHour.end BusinessHour.end | pandas.reference.api.pandas.tseries.offsets.businesshour.end |
pandas.tseries.offsets.BusinessHour.freqstr BusinessHour.freqstr | pandas.reference.api.pandas.tseries.offsets.businesshour.freqstr |
pandas.tseries.offsets.BusinessHour.holidays BusinessHour.holidays | pandas.reference.api.pandas.tseries.offsets.businesshour.holidays |
pandas.tseries.offsets.BusinessHour.is_anchored BusinessHour.is_anchored() | pandas.reference.api.pandas.tseries.offsets.businesshour.is_anchored |
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