pandas.Timestamp

class pandas.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 equivalent of python’s Datetime and is interchangeable with it in most cases. It’s the type used for the entries that make up a DatetimeIndex, and other timeseries oriented data structures in pandas.

Parameters

ts_inputdatetime-like, str, int, float

Value to be converted to Timestamp.

freqstr, DateOffset

Offset which Timestamp will have.

tzstr, pytz.timezone, dateutil.tz.tzfile or None

Time zone for time which Timestamp will have.

unitstr

Unit used for conversion if ts_input is of type int or float. The valid values are ‘D’, ‘h’, ‘m’, ‘s’, ‘ms’, ‘us’, and ‘ns’. For example, ‘s’ means seconds and ‘ms’ means milliseconds.

year, month, dayint

hour, minute, second, microsecondint, optional, default 0

nanosecondint, optional, default 0

New in version 0.23.0.

tzinfodatetime.tzinfo, optional, default None

fold{0, 1}, default None, keyword-only

Due to daylight saving time, one wall clock time can occur twice when shifting from summer to winter time; fold describes whether the datetime-like corresponds to the first (0) or the second time (1) the wall clock hits the ambiguous time

New in version 1.1.0.

Notes

There are essentially three calling conventions for the constructor. The primary form accepts four parameters. They can be passed by position or keyword.

The other two forms mimic the parameters from datetime.datetime. They can be passed by either position or keyword, but not both mixed together.

Examples

Using the primary calling convention:

This converts a datetime-like string

>>> pd.Timestamp('2017-01-01T12')
Timestamp('2017-01-01 12:00:00')

This converts a float representing a Unix epoch in units of seconds

>>> pd.Timestamp(1513393355.5, unit='s')
Timestamp('2017-12-16 03:02:35.500000')

This converts an int representing a Unix-epoch in units of seconds and for a particular timezone

>>> pd.Timestamp(1513393355, unit='s', tz='US/Pacific')
Timestamp('2017-12-15 19:02:35-0800', tz='US/Pacific')

Using the other two forms that mimic the API for datetime.datetime:

>>> pd.Timestamp(2017, 1, 1, 12)
Timestamp('2017-01-01 12:00:00')

>>> pd.Timestamp(year=2017, month=1, day=1, hour=12)
Timestamp('2017-01-01 12:00:00')

Attributes

asm8	Return numpy datetime64 format in nanoseconds.
dayofweek	Return day of the week.
dayofyear	Return the day of the year.
days_in_month	Return the number of days in the month.
daysinmonth	Return the number of days in the month.
freqstr	Return the total number of days in the month.
is_leap_year	Return True if year is a leap year.
is_month_end	Return True if date is last day of month.
is_month_start	Return True if date is first day of month.
is_quarter_end	Return True if date is last day of the quarter.
is_quarter_start	Return True if date is first day of the quarter.
is_year_end	Return True if date is last day of the year.
is_year_start	Return True if date is first day of the year.
quarter	Return the quarter of the year.
tz	Alias for tzinfo.
week	Return the week number of the year.
weekofyear	Return the week number of the year.

day
fold
freq
hour
microsecond
minute
month
nanosecond
second
tzinfo
value
year

Methods

astimezone(tz)	Convert tz-aware Timestamp to another time zone.
ceil(freq[, ambiguous, nonexistent])	return a new Timestamp ceiled to this resolution.
combine(date, time)	date, time -> datetime with same date and time fields.
ctime	Return ctime() style string.
date	Return date object with same year, month and day.
day_name	Return the day name of the Timestamp with specified locale.
dst	Return self.tzinfo.dst(self).
floor(freq[, ambiguous, nonexistent])	return a new Timestamp floored to this resolution.
fromisocalendar	int, int, int -> Construct a date from the ISO year, week number and weekday.
fromisoformat	string -> datetime from datetime.isoformat() output
fromordinal(ordinal[, freq, tz])	Passed an ordinal, translate and convert to a ts.
fromtimestamp(ts)	timestamp[, tz] -> tz’s local time from POSIX timestamp.
isocalendar	Return a 3-tuple containing ISO year, week number, and weekday.
isoformat	[sep] -> string in ISO 8601 format, YYYY-MM-DDT[HH[:MM[:SS[.mmm[uuu]]]]][+HH:MM].
isoweekday	Return the day of the week represented by the date.
month_name	Return the month name of the Timestamp with specified locale.
normalize	Normalize Timestamp to midnight, preserving tz information.
now([tz])	Return new Timestamp object representing current time local to tz.
replace([year, month, day, hour, minute, …])	implements datetime.replace, handles nanoseconds.
round(freq[, ambiguous, nonexistent])	Round the Timestamp to the specified resolution.
strftime	format -> strftime() style string.
strptime(string, format)	Function is not implemented.
time	Return time object with same time but with tzinfo=None.
timestamp	Return POSIX timestamp as float.
timetuple	Return time tuple, compatible with time.localtime().
timetz	Return time object with same time and tzinfo.
to_datetime64	Return a numpy.datetime64 object with ‘ns’ precision.
to_julian_date()	Convert TimeStamp to a Julian Date.
to_numpy	Convert the Timestamp to a NumPy datetime64.
to_period	Return an period of which this timestamp is an observation.
to_pydatetime	Convert a Timestamp object to a native Python datetime object.
today(cls[, tz])	Return the current time in the local timezone.
toordinal	Return proleptic Gregorian ordinal.
tz_convert(tz)	Convert tz-aware Timestamp to another time zone.
tz_localize(tz[, ambiguous, nonexistent])	Convert naive Timestamp to local time zone, or remove timezone from tz-aware Timestamp.
tzname	Return self.tzinfo.tzname(self).
utcfromtimestamp(ts)	Construct a naive UTC datetime from a POSIX timestamp.
utcnow()	Return a new Timestamp representing UTC day and time.
utcoffset	Return self.tzinfo.utcoffset(self).
utctimetuple	Return UTC time tuple, compatible with time.localtime().
weekday	Return the day of the week represented by the date.

pandas.array pandas.Timestamp.asm8