modin.pandas.DatetimeIndex¶

class modin.pandas.DatetimeIndex(data: ArrayLike | native_pd.Index | pd.Series | None = None, freq: Frequency | lib.NoDefault = _NoDefault.no_default, tz=_NoDefault.no_default, normalize: bool | lib.NoDefault = _NoDefault.no_default, closed=_NoDefault.no_default, ambiguous: TimeAmbiguous = 'raise', dayfirst: bool = False, yearfirst: bool = False, dtype: Dtype | None = None, copy: bool = False, name: Hashable | None = None, query_compiler: SnowflakeQueryCompiler = None)[source]¶

Bases: Index

Methods

as_unit(unit)	Convert to a dtype with the given unit resolution.
ceil(freq[, ambiguous, nonexistent])	Perform ceil operation on the data to the specified freq.
day_name([locale])	Return the day names with specified locale.
floor(freq[, ambiguous, nonexistent])	Perform floor operation on the data to the specified freq.
indexer_at_time(time[, asof])	Return index locations of values at particular time of day.
indexer_between_time(start_time, end_time[, ...])	Return index locations of values between particular times of day.
mean(*[, skipna, axis])	Return the mean value of the Array.
month_name([locale])	Return the month names with specified locale.
normalize()	Convert times to midnight.
round(freq[, ambiguous, nonexistent])	Perform round operation on the data to the specified freq.
snap([freq])	Snap time stamps to nearest occurring frequency.
std([axis, ddof, skipna])	Return sample standard deviation over requested axis.
strftime(date_format)	Convert to Index using specified date_format.
to_period([freq])	Cast to PeriodArray/PeriodIndex at a particular frequency.
to_pydatetime()	Return a ndarray of datetime.datetime objects.
tz_convert(tz)	Convert tz-aware Datetime Array/Index from one time zone to another.
tz_localize(tz[, ambiguous, nonexistent])	Localize tz-naive Datetime Array/Index to tz-aware Datetime Array/Index.

Attributes

date	Returns the date part of Timestamps without time and timezone information.
day	The day of the datetime.
day_of_week	The day of the week with Monday=0, Sunday=6.
day_of_year	The ordinal day of the year.
dayofweek	The day of the week with Monday=0, Sunday=6.
dayofyear	The ordinal day of the year.
dtype	Get the dtype object of the underlying data.
freq	Return the frequency object if it's set, otherwise None.
freqstr	Return the frequency object as a string if it's set, otherwise None.
hour	The hours of the datetime.
inferred_freq	Tries to return a string representing a frequency generated by infer_freq.
is_leap_year	Boolean indicator if the date belongs to a leap year.
is_month_end	Indicates whether the date is the last day of the month.
is_month_start	Indicates whether the date is the first day of the month.
is_quarter_end	Indicator for whether the date is the last day of a quarter.
is_quarter_start	Indicator for whether the date is the first day of a quarter.
is_year_end	Indicate whether the date is the last day of the year.
is_year_start	Indicate whether the date is the first day of a year.
microsecond	The microseconds of the datetime.
minute	The minutes of the datetime.
month	The month as January=1, December=12.
nanosecond	The nanoseconds of the datetime.
quarter	The quarter of the date.
second	The seconds of the datetime.
time	Returns the time part of the Timestamps.
timetz	Returns the time part of the Timestamps with timezone.
tz	Return the timezone.
weekday	The day of the week with Monday=0, Sunday=6.
year	The year of the datetime.