pandas.TimedeltaIndex

class pandas.TimedeltaIndex

Immutable ndarray of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects

Parameters:

data : array-like (1-dimensional), optional

Optional timedelta-like data to construct index with

unit: unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional

which is an integer/float number

freq: a frequency for the index, optional

copy : bool

Make a copy of input ndarray

start : starting value, timedelta-like, optional

If data is None, start is used as the start point in generating regular timedelta data.

periods : int, optional, > 0

Number of periods to generate, if generating index. Takes precedence over end argument

end : end time, timedelta-like, optional

If periods is none, generated index will extend to first conforming time on or just past end argument

closed : string or None, default None

Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None)

name : object

Name to be stored in the index

Attributes

T	return the transpose, which is by definition self
asi8
asobject
base	return the base object if the memory of the underlying data is shared
components	Return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of the Timedeltas.
data	return the data pointer of the underlying data
days	Number of days for each element.
dtype
dtype_str
flags
freq
freqstr	return the frequency object as a string if its set, otherwise None
has_duplicates
hasnans
inferred_freq
inferred_type
is_all_dates
is_monotonic	alias for is_monotonic_increasing (deprecated)
is_monotonic_decreasing	return if the index is monotonic decreasing (only equal or
is_monotonic_increasing	return if the index is monotonic increasing (only equal or
is_unique
itemsize	return the size of the dtype of the item of the underlying data
microseconds	Number of microseconds (>= 0 and less than 1 second) for each element.
name
names
nanoseconds	Number of nanoseconds (>= 0 and less than 1 microsecond) for each element.
nbytes	return the number of bytes in the underlying data
ndim	return the number of dimensions of the underlying data, by definition 1
nlevels
resolution
seconds	Number of seconds (>= 0 and less than 1 day) for each element.
shape	return a tuple of the shape of the underlying data
size	return the number of elements in the underlying data
strides	return the strides of the underlying data
values	return the underlying data as an ndarray

Methods