otp.dt (otp.datetime)#

class datetime(first_arg, month=None, day=None, hour=None, minute=None, second=None, microsecond=None, nanosecond=None, *, tzinfo=None, tz=None)#

Bases: onetick.py.types.AbstractTime

Class datetime is used for representing date with time in onetick-py. It can be used both when specifying start and end time for queries and in column operations with onetick.py.Source. Datetime offset objects (e.g. otp.Nano, otp.Day) can be added to or subtracted from otp.datetime object.

Parameters

  • first_arg (int, str, otp.datetime, pandas.Timestamp, datetime.datetime) – If month, day and other parts of date are specified, first argument will be considered as year. Otherwise, first argument will be converted to otp.datetime.

  • month (int) – Number between 1 and 12.

  • day (int) – Number between 1 and 31.

  • hour (int, default=0) – Number between 0 and 23.

  • minute (int, default=0) – Number between 0 and 59.

  • second (int, default=0) – Number between 0 and 59.

  • microsecond (int, default=0) – Number between 0 and 999999.

  • nanosecond (int, default=0) – Number between 0 and 999.

  • tzinfo (datetime.tzinfo) – Timezone object.

  • tz (str) – Timezone name.

Examples

Initialization by datetime.datetime class from standard library:

>>> otp.datetime(datetime(2019, 1, 1, 1))
2019-01-01 01:00:00

Initialization by pandas Timestamp class:

>>> otp.datetime(pd.Timestamp(2019, 1, 1, 1))
2019-01-01 01:00:00

Initialization by int timestamp:

>>> otp.datetime(1234567890)
1970-01-01 00:00:01.234567890

Initialization by params with nanoseconds:

>>> otp.datetime(2019, 1, 1, 1, 2, 3, 4, 5)
2019-01-01 01:02:03.000004005

Initialization by string:

>>> otp.datetime('2019/01/01 1:02')
2019-01-01 01:02:00

otp.dt is the alias for otp.datetime:

>>> otp.dt(2019, 1, 1)
2019-01-01 00:00:00

See also

Datetime offset objects.

replace(**kwargs)#

Replace parts of otp.datetime object.

Parameters

  • year (int, optional) –

  • month (int, optional) –

  • day (int, optional) –

  • hour (int, optional) –

  • minute (int, optional) –

  • second (int, optional) –

  • microsecond (int, optional) –

  • nanosecond (int, optional) –

  • tzinfo (tz-convertible, optional) –

Returns

result – Timestamp with fields replaced.

Return type

otp.datetime

Examples

>>> ts = otp.datetime(2022, 2, 24, 3, 15, 54, 999, 1)
>>> ts
2022-02-24 03:15:54.000999001
>>> ts.replace(year=2000, month=2, day=2, hour=2, minute=2, second=2, microsecond=2, nanosecond=2)
2000-02-02 02:02:02.000002002
static now(tz=None)#

Will return otp.datetime object with timestamp at the moment of calling this function. Not to be confused with function otp.now() which can only add column with current timestamp to the otp.Source when running the query.

Parameters

tz (str or timezone object, default None) – Timezone to localize to.

__add__(other)#

Add datetime offset to otp.datetime.

Parameters

other (OTPBaseTimeOffset, datetime) – object to add

Returns

result – return datetime if otp.Nano or another date offset object was passed as an argument, or pandas.Timedelta object if otp.datetime was passed as an argument.

Return type

datetime, pandas.Timedelta

Examples

>>> otp.datetime(2022, 2, 24) + otp.Nano(1)
2022-02-24 00:00:00.000000001
__sub__(other)#

Subtract datetime offset from otp.datetime.

Parameters

other (OTPBaseTimeOffset, datetime) – object to subtract

Returns

result – return datetime if otp.Nano or another date offset object was passed as an argument, or pandas.Timedelta object if otp.datetime was passed as an argument.

Return type

datetime, pandas.Timedelta

Examples

>>> otp.datetime(2022, 2, 24) - otp.Nano(1)
2022-02-23 23:59:59.999999999
to_operation(timezone=None)#

Convert otp.datetime object to otp.Operation

Parameters

timezone (Operation) – Can be used to specify timezone as an Operation.

Examples

>>> t = otp.Ticks(TZ=['EST5EDT', 'GMT'])
>>> t['DT'] = otp.dt(2022, 1, 1).to_operation(timezone=t['TZ'])
>>> otp.run(t, timezone='GMT')[['TZ', 'DT']]
        TZ                  DT
0  EST5EDT 2022-01-01 05:00:00
1      GMT 2022-01-01 00:00:00