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pandas.Timestamp

class pandas.Timestamp

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_input : datetime-like, str, int, float

Value to be converted to Timestamp.

freq : str, DateOffset

Offset which Timestamp will have.

tz : str, pytz.timezone, dateutil.tz.tzfile or None

Time zone for time which Timestamp will have.

unit : str

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, day : int

New in version 0.19.0.

hour, minute, second, microsecond : int, optional, default 0

New in version 0.19.0.

nanosecond : int, optional, default 0

New in version 0.23.0.

tzinfo : datetime.tzinfo, optional, default None

New in version 0.19.0.

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 whe 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.
resolution Return resolution describing the smallest difference between two times that can be represented by Timestamp object_state
tz Alias for tzinfo
week Return the week number of the year.
weekday_name (DEPRECATED) .. deprecated:: 0.23.0
weekofyear Return the week number of the year.
day
fold
freq
hour
microsecond
minute
month
nanosecond
second
tzinfo
value
year

Methods

astimezone(self, tz) Convert tz-aware Timestamp to another time zone.
ceil(self, 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(self[, locale]) Return the day name of the Timestamp with specified locale.
dst() Return self.tzinfo.dst(self).
floor(self, freq[, ambiguous, nonexistent]) return a new Timestamp floored to this resolution
fromisoformat() string -> datetime from datetime.isoformat() output
fromordinal(ordinal[, freq, tz]) passed an ordinal, translate and convert to a ts note: by definition there cannot be any tz info on the ordinal itself
fromtimestamp(ts) timestamp[, tz] -> tz’s local time from POSIX timestamp.
isocalendar() Return a 3-tuple containing ISO year, week number, and weekday.
isoweekday() Return the day of the week represented by the date.
month_name(self[, locale]) Return the month name of the Timestamp with specified locale.
normalize(self) Normalize Timestamp to midnight, preserving tz information.
now([tz]) Return new Timestamp object representing current time local to tz.
replace(self[, year, month, day, hour, …]) implements datetime.replace, handles nanoseconds
round(self, 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(self) Convert TimeStamp to a Julian Date.
to_numpy() Convert the Timestamp to a NumPy datetime64.
to_period(self[, freq]) 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(self, tz) Convert tz-aware Timestamp to another time zone.
tz_localize(self, tz[, ambiguous, …]) 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.
isoformat

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.Timestamp.html