doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
pandas.Timedelta.resolution Timedelta.resolution=Timedelta('0 days 00:00:00.000000001') | pandas.reference.api.pandas.timedelta.resolution |
pandas.Timedelta.resolution_string Timedelta.resolution_string
Return a string representing the lowest timedelta resolution. Each timedelta has a defined resolution that represents the lowest OR most granular level of precision. Each level of resolution is represented by a short string as defined below: Resolution:... | pandas.reference.api.pandas.timedelta.resolution_string |
pandas.Timedelta.round Timedelta.round(freq)
Round the Timedelta to the specified resolution. Parameters
freq:str
Frequency string indicating the rounding resolution. Returns
a new Timedelta rounded to the given resolution of freq
Raises
ValueError if the freq cannot be converted | pandas.reference.api.pandas.timedelta.round |
pandas.Timedelta.seconds Timedelta.seconds
Number of seconds (>= 0 and less than 1 day). | pandas.reference.api.pandas.timedelta.seconds |
pandas.Timedelta.to_numpy Timedelta.to_numpy()
Convert the Timedelta to a NumPy timedelta64. New in version 0.25.0. This is an alias method for Timedelta.to_timedelta64(). The dtype and copy parameters are available here only for compatibility. Their values will not affect the return value. Returns
numpy.timed... | pandas.reference.api.pandas.timedelta.to_numpy |
pandas.Timedelta.to_pytimedelta Timedelta.to_pytimedelta()
Convert a pandas Timedelta object into a python datetime.timedelta object. Timedelta objects are internally saved as numpy datetime64[ns] dtype. Use to_pytimedelta() to convert to object dtype. Returns
datetime.timedelta or numpy.array of datetime.timede... | pandas.reference.api.pandas.timedelta.to_pytimedelta |
pandas.Timedelta.to_timedelta64 Timedelta.to_timedelta64()
Return a numpy.timedelta64 object with ‘ns’ precision. | pandas.reference.api.pandas.timedelta.to_timedelta64 |
pandas.Timedelta.total_seconds Timedelta.total_seconds()
Total seconds in the duration. | pandas.reference.api.pandas.timedelta.total_seconds |
pandas.Timedelta.value Timedelta.value | pandas.reference.api.pandas.timedelta.value |
pandas.Timedelta.view Timedelta.view()
Array view compatibility. | pandas.reference.api.pandas.timedelta.view |
pandas.timedelta_range pandas.timedelta_range(start=None, end=None, periods=None, freq=None, name=None, closed=None)[source]
Return a fixed frequency TimedeltaIndex, with day as the default frequency. Parameters
start:str or timedelta-like, default None
Left bound for generating timedeltas.
end:str or timed... | pandas.reference.api.pandas.timedelta_range |
pandas.TimedeltaIndex classpandas.TimedeltaIndex(data=None, unit=None, freq=NoDefault.no_default, closed=None, dtype=dtype('<m8[ns]'), copy=False, name=None)[source]
Immutable ndarray of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects. Parameters
data:array-like (1... | pandas.reference.api.pandas.timedeltaindex |
pandas.TimedeltaIndex.ceil TimedeltaIndex.ceil(*args, **kwargs)[source]
Perform ceil operation on the data to the specified freq. Parameters
freq:str or Offset
The frequency level to ceil the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of possib... | pandas.reference.api.pandas.timedeltaindex.ceil |
pandas.TimedeltaIndex.components propertyTimedeltaIndex.components
Return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of the Timedeltas. Returns
DataFrame | pandas.reference.api.pandas.timedeltaindex.components |
pandas.TimedeltaIndex.days propertyTimedeltaIndex.days
Number of days for each element. | pandas.reference.api.pandas.timedeltaindex.days |
pandas.TimedeltaIndex.floor TimedeltaIndex.floor(*args, **kwargs)[source]
Perform floor operation on the data to the specified freq. Parameters
freq:str or Offset
The frequency level to floor the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of po... | pandas.reference.api.pandas.timedeltaindex.floor |
pandas.TimedeltaIndex.inferred_freq TimedeltaIndex.inferred_freq
Tries to return a string representing a frequency guess, generated by infer_freq. Returns None if it can’t autodetect the frequency. | pandas.reference.api.pandas.timedeltaindex.inferred_freq |
pandas.TimedeltaIndex.mean TimedeltaIndex.mean(*args, **kwargs)[source]
Return the mean value of the Array. New in version 0.25.0. Parameters
skipna:bool, default True
Whether to ignore any NaT elements.
axis:int, optional, default 0
Returns
scalar
Timestamp or Timedelta. See also numpy.ndarra... | pandas.reference.api.pandas.timedeltaindex.mean |
pandas.TimedeltaIndex.microseconds propertyTimedeltaIndex.microseconds
Number of microseconds (>= 0 and less than 1 second) for each element. | pandas.reference.api.pandas.timedeltaindex.microseconds |
pandas.TimedeltaIndex.nanoseconds propertyTimedeltaIndex.nanoseconds
Number of nanoseconds (>= 0 and less than 1 microsecond) for each element. | pandas.reference.api.pandas.timedeltaindex.nanoseconds |
pandas.TimedeltaIndex.round TimedeltaIndex.round(*args, **kwargs)[source]
Perform round operation on the data to the specified freq. Parameters
freq:str or Offset
The frequency level to round the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of po... | pandas.reference.api.pandas.timedeltaindex.round |
pandas.TimedeltaIndex.seconds propertyTimedeltaIndex.seconds
Number of seconds (>= 0 and less than 1 day) for each element. | pandas.reference.api.pandas.timedeltaindex.seconds |
pandas.TimedeltaIndex.to_frame TimedeltaIndex.to_frame(index=True, name=NoDefault.no_default)[source]
Create a DataFrame with a column containing the Index. Parameters
index:bool, default True
Set the index of the returned DataFrame as the original Index.
name:object, default None
The passed name should s... | pandas.reference.api.pandas.timedeltaindex.to_frame |
pandas.TimedeltaIndex.to_pytimedelta TimedeltaIndex.to_pytimedelta(*args, **kwargs)[source]
Return Timedelta Array/Index as object ndarray of datetime.timedelta objects. Returns
timedeltas:ndarray[object] | pandas.reference.api.pandas.timedeltaindex.to_pytimedelta |
pandas.TimedeltaIndex.to_series TimedeltaIndex.to_series(index=None, name=None)[source]
Create a Series with both index and values equal to the index keys. Useful with map for returning an indexer based on an index. Parameters
index:Index, optional
Index of resulting Series. If None, defaults to original inde... | pandas.reference.api.pandas.timedeltaindex.to_series |
pandas.Timestamp classpandas.Timestamp(ts_input=<object object>, freq=None, tz=None, unit=None, year=None, month=None, day=None, hour=None, minute=None, second=None, microsecond=None, nanosecond=None, tzinfo=None, *, fold=None)
Pandas replacement for python datetime.datetime object. Timestamp is the pandas equivale... | pandas.reference.api.pandas.timestamp |
pandas.Timestamp.asm8 Timestamp.asm8
Return numpy datetime64 format in nanoseconds. Examples
>>> ts = pd.Timestamp(2020, 3, 14, 15)
>>> ts.asm8
numpy.datetime64('2020-03-14T15:00:00.000000000') | pandas.reference.api.pandas.timestamp.asm8 |
pandas.Timestamp.astimezone Timestamp.astimezone(tz)
Convert timezone-aware Timestamp to another time zone. Parameters
tz:str, pytz.timezone, dateutil.tz.tzfile or None
Time zone for time which Timestamp will be converted to. None will remove timezone holding UTC time. Returns
converted:Timestamp
Rai... | pandas.reference.api.pandas.timestamp.astimezone |
pandas.Timestamp.ceil Timestamp.ceil(freq, ambiguous='raise', nonexistent='raise')
Return a new Timestamp ceiled to this resolution. Parameters
freq:str
Frequency string indicating the ceiling resolution.
ambiguous:bool or {‘raise’, ‘NaT’}, default ‘raise’
The behavior is as follows: bool contains flags ... | pandas.reference.api.pandas.timestamp.ceil |
pandas.Timestamp.combine classmethodTimestamp.combine(date, time)
Combine date, time into datetime with same date and time fields. Examples
>>> from datetime import date, time
>>> pd.Timestamp.combine(date(2020, 3, 14), time(15, 30, 15))
Timestamp('2020-03-14 15:30:15') | pandas.reference.api.pandas.timestamp.combine |
pandas.Timestamp.ctime Timestamp.ctime()
Return ctime() style string. | pandas.reference.api.pandas.timestamp.ctime |
pandas.Timestamp.date Timestamp.date()
Return date object with same year, month and day. | pandas.reference.api.pandas.timestamp.date |
pandas.Timestamp.day Timestamp.day | pandas.reference.api.pandas.timestamp.day |
pandas.Timestamp.day_name Timestamp.day_name()
Return the day name of the Timestamp with specified locale. Parameters
locale:str, default None (English locale)
Locale determining the language in which to return the day name. Returns
str
Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')
... | pandas.reference.api.pandas.timestamp.day_name |
pandas.Timestamp.day_of_week Timestamp.day_of_week
Return day of the week. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.day_of_week
5 | pandas.reference.api.pandas.timestamp.day_of_week |
pandas.Timestamp.day_of_year Timestamp.day_of_year
Return the day of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.day_of_year
74 | pandas.reference.api.pandas.timestamp.day_of_year |
pandas.Timestamp.dayofweek Timestamp.dayofweek
Return day of the week. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.day_of_week
5 | pandas.reference.api.pandas.timestamp.dayofweek |
pandas.Timestamp.dayofyear Timestamp.dayofyear
Return the day of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.day_of_year
74 | pandas.reference.api.pandas.timestamp.dayofyear |
pandas.Timestamp.days_in_month Timestamp.days_in_month
Return the number of days in the month. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.days_in_month
31 | pandas.reference.api.pandas.timestamp.days_in_month |
pandas.Timestamp.daysinmonth Timestamp.daysinmonth
Return the number of days in the month. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.days_in_month
31 | pandas.reference.api.pandas.timestamp.daysinmonth |
pandas.Timestamp.dst Timestamp.dst()
Return self.tzinfo.dst(self). | pandas.reference.api.pandas.timestamp.dst |
pandas.Timestamp.floor Timestamp.floor(freq, ambiguous='raise', nonexistent='raise')
Return a new Timestamp floored to this resolution. Parameters
freq:str
Frequency string indicating the flooring resolution.
ambiguous:bool or {‘raise’, ‘NaT’}, default ‘raise’
The behavior is as follows: bool contains fl... | pandas.reference.api.pandas.timestamp.floor |
pandas.Timestamp.fold Timestamp.fold | pandas.reference.api.pandas.timestamp.fold |
pandas.Timestamp.freq Timestamp.freq | pandas.reference.api.pandas.timestamp.freq |
pandas.Timestamp.freqstr propertyTimestamp.freqstr
Return the total number of days in the month. | pandas.reference.api.pandas.timestamp.freqstr |
pandas.Timestamp.fromisocalendar Timestamp.fromisocalendar()
int, int, int -> Construct a date from the ISO year, week number and weekday. This is the inverse of the date.isocalendar() function | pandas.reference.api.pandas.timestamp.fromisocalendar |
pandas.Timestamp.fromisoformat Timestamp.fromisoformat()
string -> datetime from datetime.isoformat() output | pandas.reference.api.pandas.timestamp.fromisoformat |
pandas.Timestamp.fromordinal classmethodTimestamp.fromordinal(ordinal, freq=None, tz=None)
Passed an ordinal, translate and convert to a ts. Note: by definition there cannot be any tz info on the ordinal itself. Parameters
ordinal:int
Date corresponding to a proleptic Gregorian ordinal.
freq:str, DateOffset... | pandas.reference.api.pandas.timestamp.fromordinal |
pandas.Timestamp.fromtimestamp classmethodTimestamp.fromtimestamp(ts)
Transform timestamp[, tz] to tz’s local time from POSIX timestamp. Examples
>>> pd.Timestamp.fromtimestamp(1584199972)
Timestamp('2020-03-14 15:32:52')
Note that the output may change depending on your local time. | pandas.reference.api.pandas.timestamp.fromtimestamp |
pandas.Timestamp.hour Timestamp.hour | pandas.reference.api.pandas.timestamp.hour |
pandas.Timestamp.is_leap_year Timestamp.is_leap_year
Return True if year is a leap year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_leap_year
True | pandas.reference.api.pandas.timestamp.is_leap_year |
pandas.Timestamp.is_month_end Timestamp.is_month_end
Return True if date is last day of month. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_month_end
False
>>> ts = pd.Timestamp(2020, 12, 31)
>>> ts.is_month_end
True | pandas.reference.api.pandas.timestamp.is_month_end |
pandas.Timestamp.is_month_start Timestamp.is_month_start
Return True if date is first day of month. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_month_start
False
>>> ts = pd.Timestamp(2020, 1, 1)
>>> ts.is_month_start
True | pandas.reference.api.pandas.timestamp.is_month_start |
pandas.Timestamp.is_quarter_end Timestamp.is_quarter_end
Return True if date is last day of the quarter. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_quarter_end
False
>>> ts = pd.Timestamp(2020, 3, 31)
>>> ts.is_quarter_end
True | pandas.reference.api.pandas.timestamp.is_quarter_end |
pandas.Timestamp.is_quarter_start Timestamp.is_quarter_start
Return True if date is first day of the quarter. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_quarter_start
False
>>> ts = pd.Timestamp(2020, 4, 1)
>>> ts.is_quarter_start
True | pandas.reference.api.pandas.timestamp.is_quarter_start |
pandas.Timestamp.is_year_end Timestamp.is_year_end
Return True if date is last day of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_year_end
False
>>> ts = pd.Timestamp(2020, 12, 31)
>>> ts.is_year_end
True | pandas.reference.api.pandas.timestamp.is_year_end |
pandas.Timestamp.is_year_start Timestamp.is_year_start
Return True if date is first day of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.is_year_start
False
>>> ts = pd.Timestamp(2020, 1, 1)
>>> ts.is_year_start
True | pandas.reference.api.pandas.timestamp.is_year_start |
pandas.Timestamp.isocalendar Timestamp.isocalendar()
Return a 3-tuple containing ISO year, week number, and weekday. | pandas.reference.api.pandas.timestamp.isocalendar |
pandas.Timestamp.isoformat Timestamp.isoformat()
Return the time formatted according to ISO 8610. The full format looks like ‘YYYY-MM-DD HH:MM:SS.mmmmmmnnn’. By default, the fractional part is omitted if self.microsecond == 0 and self.nanosecond == 0. If self.tzinfo is not None, the UTC offset is also attached, giv... | pandas.reference.api.pandas.timestamp.isoformat |
pandas.Timestamp.isoweekday Timestamp.isoweekday()
Return the day of the week represented by the date. Monday == 1 … Sunday == 7. | pandas.reference.api.pandas.timestamp.isoweekday |
pandas.Timestamp.max Timestamp.max=Timestamp('2262-04-11 23:47:16.854775807') | pandas.reference.api.pandas.timestamp.max |
pandas.Timestamp.microsecond Timestamp.microsecond | pandas.reference.api.pandas.timestamp.microsecond |
pandas.Timestamp.min Timestamp.min=Timestamp('1677-09-21 00:12:43.145224193') | pandas.reference.api.pandas.timestamp.min |
pandas.Timestamp.minute Timestamp.minute | pandas.reference.api.pandas.timestamp.minute |
pandas.Timestamp.month Timestamp.month | pandas.reference.api.pandas.timestamp.month |
pandas.Timestamp.month_name Timestamp.month_name()
Return the month name of the Timestamp with specified locale. Parameters
locale:str, default None (English locale)
Locale determining the language in which to return the month name. Returns
str
Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.1925... | pandas.reference.api.pandas.timestamp.month_name |
pandas.Timestamp.nanosecond Timestamp.nanosecond | pandas.reference.api.pandas.timestamp.nanosecond |
pandas.Timestamp.normalize Timestamp.normalize()
Normalize Timestamp to midnight, preserving tz information. Examples
>>> ts = pd.Timestamp(2020, 3, 14, 15, 30)
>>> ts.normalize()
Timestamp('2020-03-14 00:00:00') | pandas.reference.api.pandas.timestamp.normalize |
pandas.Timestamp.now classmethodTimestamp.now(tz=None)
Return new Timestamp object representing current time local to tz. Parameters
tz:str or timezone object, default None
Timezone to localize to. Examples
>>> pd.Timestamp.now()
Timestamp('2020-11-16 22:06:16.378782')
Analogous for pd.NaT:
>>> pd.N... | pandas.reference.api.pandas.timestamp.now |
pandas.Timestamp.quarter Timestamp.quarter
Return the quarter of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.quarter
1 | pandas.reference.api.pandas.timestamp.quarter |
pandas.Timestamp.replace Timestamp.replace(year=None, month=None, day=None, hour=None, minute=None, second=None, microsecond=None, nanosecond=None, tzinfo=<class 'object'>, fold=None)
Implements datetime.replace, handles nanoseconds. Parameters
year:int, optional
month:int, optional
day:int, optional
hour... | pandas.reference.api.pandas.timestamp.replace |
pandas.Timestamp.resolution Timestamp.resolution=Timedelta('0 days 00:00:00.000000001') | pandas.reference.api.pandas.timestamp.resolution |
pandas.Timestamp.round Timestamp.round(freq, ambiguous='raise', nonexistent='raise')
Round the Timestamp to the specified resolution. Parameters
freq:str
Frequency string indicating the rounding resolution.
ambiguous:bool or {‘raise’, ‘NaT’}, default ‘raise’
The behavior is as follows: bool contains flag... | pandas.reference.api.pandas.timestamp.round |
pandas.Timestamp.second Timestamp.second | pandas.reference.api.pandas.timestamp.second |
pandas.Timestamp.strftime Timestamp.strftime(format)
Return a string representing the given POSIX timestamp controlled by an explicit format string. Parameters
format:str
Format string to convert Timestamp to string. See strftime documentation for more information on the format string: https://docs.python.org... | pandas.reference.api.pandas.timestamp.strftime |
pandas.Timestamp.strptime classmethodTimestamp.strptime(string, format)
Function is not implemented. Use pd.to_datetime(). | pandas.reference.api.pandas.timestamp.strptime |
pandas.Timestamp.time Timestamp.time()
Return time object with same time but with tzinfo=None. | pandas.reference.api.pandas.timestamp.time |
pandas.Timestamp.timestamp Timestamp.timestamp()
Return POSIX timestamp as float. Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548')
>>> ts.timestamp()
1584199972.192548 | pandas.reference.api.pandas.timestamp.timestamp |
pandas.Timestamp.timetuple Timestamp.timetuple()
Return time tuple, compatible with time.localtime(). | pandas.reference.api.pandas.timestamp.timetuple |
pandas.Timestamp.timetz Timestamp.timetz()
Return time object with same time and tzinfo. | pandas.reference.api.pandas.timestamp.timetz |
pandas.Timestamp.to_datetime64 Timestamp.to_datetime64()
Return a numpy.datetime64 object with ‘ns’ precision. | pandas.reference.api.pandas.timestamp.to_datetime64 |
pandas.Timestamp.to_julian_date Timestamp.to_julian_date()
Convert TimeStamp to a Julian Date. 0 Julian date is noon January 1, 4713 BC. Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52')
>>> ts.to_julian_date()
2458923.147824074 | pandas.reference.api.pandas.timestamp.to_julian_date |
pandas.Timestamp.to_numpy Timestamp.to_numpy()
Convert the Timestamp to a NumPy datetime64. New in version 0.25.0. This is an alias method for Timestamp.to_datetime64(). The dtype and copy parameters are available here only for compatibility. Their values will not affect the return value. Returns
numpy.datetim... | pandas.reference.api.pandas.timestamp.to_numpy |
pandas.Timestamp.to_period Timestamp.to_period()
Return an period of which this timestamp is an observation. Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')
>>> # Year end frequency
>>> ts.to_period(freq='Y')
Period('2020', 'A-DEC')
>>> # Month end frequency
>>> ts.to_period(freq='M')
Period('20... | pandas.reference.api.pandas.timestamp.to_period |
pandas.Timestamp.to_pydatetime Timestamp.to_pydatetime()
Convert a Timestamp object to a native Python datetime object. If warn=True, issue a warning if nanoseconds is nonzero. Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548')
>>> ts.to_pydatetime()
datetime.datetime(2020, 3, 14, 15, 32, 52, 192548)
A... | pandas.reference.api.pandas.timestamp.to_pydatetime |
pandas.Timestamp.today classmethodTimestamp.today(cls, tz=None)
Return the current time in the local timezone. This differs from datetime.today() in that it can be localized to a passed timezone. Parameters
tz:str or timezone object, default None
Timezone to localize to. Examples
>>> pd.Timestamp.today()... | pandas.reference.api.pandas.timestamp.today |
pandas.Timestamp.toordinal Timestamp.toordinal()
Return proleptic Gregorian ordinal. January 1 of year 1 is day 1. | pandas.reference.api.pandas.timestamp.toordinal |
pandas.Timestamp.tz propertyTimestamp.tz
Alias for tzinfo. Examples
>>> ts = pd.Timestamp(1584226800, unit='s', tz='Europe/Stockholm')
>>> ts.tz
<DstTzInfo 'Europe/Stockholm' CET+1:00:00 STD> | pandas.reference.api.pandas.timestamp.tz |
pandas.Timestamp.tz_convert Timestamp.tz_convert(tz)
Convert timezone-aware Timestamp to another time zone. Parameters
tz:str, pytz.timezone, dateutil.tz.tzfile or None
Time zone for time which Timestamp will be converted to. None will remove timezone holding UTC time. Returns
converted:Timestamp
Rai... | pandas.reference.api.pandas.timestamp.tz_convert |
pandas.Timestamp.tz_localize Timestamp.tz_localize(tz, ambiguous='raise', nonexistent='raise')
Convert naive Timestamp to local time zone, or remove timezone from timezone-aware Timestamp. Parameters
tz:str, pytz.timezone, dateutil.tz.tzfile or None
Time zone for time which Timestamp will be converted to. Non... | pandas.reference.api.pandas.timestamp.tz_localize |
pandas.Timestamp.tzinfo Timestamp.tzinfo | pandas.reference.api.pandas.timestamp.tzinfo |
pandas.Timestamp.tzname Timestamp.tzname()
Return self.tzinfo.tzname(self). | pandas.reference.api.pandas.timestamp.tzname |
pandas.Timestamp.utcfromtimestamp classmethodTimestamp.utcfromtimestamp(ts)
Construct a naive UTC datetime from a POSIX timestamp. Examples
>>> pd.Timestamp.utcfromtimestamp(1584199972)
Timestamp('2020-03-14 15:32:52') | pandas.reference.api.pandas.timestamp.utcfromtimestamp |
pandas.Timestamp.utcnow classmethodTimestamp.utcnow()
Return a new Timestamp representing UTC day and time. Examples
>>> pd.Timestamp.utcnow()
Timestamp('2020-11-16 22:50:18.092888+0000', tz='UTC') | pandas.reference.api.pandas.timestamp.utcnow |
pandas.Timestamp.utcoffset Timestamp.utcoffset()
Return self.tzinfo.utcoffset(self). | pandas.reference.api.pandas.timestamp.utcoffset |
pandas.Timestamp.utctimetuple Timestamp.utctimetuple()
Return UTC time tuple, compatible with time.localtime(). | pandas.reference.api.pandas.timestamp.utctimetuple |
pandas.Timestamp.value Timestamp.value | pandas.reference.api.pandas.timestamp.value |
pandas.Timestamp.week Timestamp.week
Return the week number of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.week
11 | pandas.reference.api.pandas.timestamp.week |
pandas.Timestamp.weekday Timestamp.weekday()
Return the day of the week represented by the date. Monday == 0 … Sunday == 6. | pandas.reference.api.pandas.timestamp.weekday |
pandas.Timestamp.weekofyear Timestamp.weekofyear
Return the week number of the year. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.week
11 | pandas.reference.api.pandas.timestamp.weekofyear |
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