cudf.DatetimeIndex

class cudf.DatetimeIndex(*args, **kwargs)

Immutable , ordered and sliceable sequence of datetime64 data, represented internally as int64.

Parameters:

dataarray-like (1-dimensional), optional

Optional datetime-like data to construct index with.

copybool

Make a copy of input.

freqstr, optional

Frequency of the DatetimeIndex

tzpytz.timezone or dateutil.tz.tzfile

This is not yet supported

ambiguous‘infer’, bool-ndarray, ‘NaT’, default ‘raise’

This is not yet supported

nameobject

Name to be stored in the index.

dayfirstbool, default False

If True, parse dates in data with the day first order. This is not yet supported

yearfirstbool, default False

If True parse dates in data with the year first order. This is not yet supported

Attributes

year	The year of the datetime.
month	The month as January=1, December=12.
day	The day of the datetime.
hour	The hours of the datetime.
minute	The minutes of the datetime.
second	The seconds of the datetime.
microsecond	The microseconds of the datetime.
nanosecond	The nanoseconds of the datetime.
date	Returns numpy array of python datetime.date objects.
time	Returns numpy array of datetime.time objects.
dayofyear	The day of the year, from 1-365 in non-leap years and from 1-366 in leap years.
day_of_year	The day of the year, from 1-365 in non-leap years and from 1-366 in leap years.
weekday	The day of the week with Monday=0, Sunday=6.
quarter	Integer indicator for which quarter of the year the date belongs in.

freq

Methods

ceil(freq)	Perform ceil operation on the data to the specified freq.
floor(freq)	Perform floor operation on the data to the specified freq.
round(freq)	Perform round operation on the data to the specified freq.
tz_convert(tz)	Convert tz-aware datetimes from one time zone to another.
tz_localize(tz[, ambiguous, nonexistent])	Localize timezone-naive data to timezone-aware data.

Returns:

DatetimeIndex

Examples

>>> import cudf
>>> cudf.DatetimeIndex([1, 2, 3, 4], name="a")
DatetimeIndex(['1970-01-01 00:00:00.000000001',
               '1970-01-01 00:00:00.000000002',
               '1970-01-01 00:00:00.000000003',
               '1970-01-01 00:00:00.000000004'],
              dtype='datetime64[ns]', name='a')